AS Pseudo Claim Charting Due Diligence US10198779B2

Purpose: Invalidity Analysis

Patent: US10198779B2
Filed: 2016-06-03
Issued: 2019-02-05
Patent Holder: (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc
Inventor(s): Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny

Title: Tracking proximity relationships and uses thereof

Abstract: A method may include receiving data about a first person and a second person, the first person having a contagion. The method may include determining whether a first location is within a proximity distance to a second location. The method may include determining whether a first time is within a proximity time period with a second time. The method may include defining a proximity relationship for the second person relative to the first person. The defined proximity relationship may be positive when the first location is within the proximity distance and first time is within the proximity time period, or the defined proximity relationship may be negative when either the first location is not within the proximity distance or first time is not within the proximity time period. When the proximity relationship is positive, the second person may be labeled as being contaminated by the contagion.

Disclaimer: The promise of Apex Standards Pseudo Claim Charting (PCC) [ Request Form ] is not to replace expert opinion but to provide due diligence and transparency prior to high precision charting. PCC conducts aggressive mapping (based on Broadest Reasonable, Ordinary or Customary Interpretation and Multilingual Translation) between a target patent's claim elements and other documents (potential technical standard specification or prior arts in the same or across different jurisdictions), therefore allowing for a top-down, apriori evaluation, with which, stakeholders can assess standard essentiality (potential strengths) or invalidity (potential weaknesses) quickly and effectively before making complex, high-value decisions. PCC is designed to relieve initial burden of proof via an exhaustive listing of contextual semantic mapping as potential building blocks towards a litigation-ready work product. Stakeholders may then use the mapping to modify upon shortlisted PCC or identify other relevant materials in order to formulate strategy and achieve further purposes.

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Non-Patent Literature

WIPO Prior Art

EP Prior Art

US Prior Art

CN Prior Art

JP Prior Art

KR Prior Art

Ground	References	Owner of the Reference	Title	Semantic Mapping	Challenged Claims
Ground	References	Owner of the Reference	Title	Semantic Mapping	1	2	3	4	5	6	7	8	9	10	12	13	14	15	16	17	18	19	20
1	NINTH INTERNATIONAL CONFERENCE ON ROAD TRANSPORT INFORMATION AND CONTROL. (454): 59-63 1998 (Thompson, 1998)	BT Laboratories, UK	Exploiting Telecommunications To Deliver Real Time Transport Information	▪ first event ≈ based applications ▪ second location, travel instructions ≈ arrival time	X										X	X	X	X				X	X
2	CN105492865A (薛俊华, 2016)	(Original Assignee) 薛俊华	交互式动态云导航系统	▪ proximity distance ≈ 中心距离 ▪ server computing system ≈ 分别计算 ▪ first time ≈ 的行驶 ▪ proximity time period ≈ 时间段 ▪ pushing travel instructions ≈ 的线路	X	X			X		X				X
3	US20150339397A1 (Alice Jane Bernheim Brush, 2015)	(Original Assignee) Microsoft Technology Licensing LLC (Current Assignee) Uber Technologies Inc	Mobile search based on predicted location	▪ negative proximity ≈ location information ▪ negative proximity relationship ≈ search result													X
4	US20150186389A1 (Yu Zheng, 2015)	(Original Assignee) Microsoft Technology Licensing LLC (Current Assignee) Microsoft Technology Licensing LLC	Recommending Points of Interests in a Region	▪ server computing system ≈ minimum number ▪ travel instructions ≈ readable media		X									X		X
5	CN104391967A (许德玮, 2015)	(Original Assignee) 武汉邮电科学研究院	一种基于多源数据分析的就诊推荐方法	▪ receiving first data, receiving second data ≈ 的接收 ▪ first time ≈ 时间戳	X				X													X
6	US20150052132A1 (Kevin Ching, 2015)	(Original Assignee) NinthDecimal Inc; JiWire Inc (Current Assignee) NinthDecimal Inc	Location graph based derivation of attributes	▪ first person, first location ≈ confidence levels ▪ third person ≈ geographic area ▪ medium proximity, negative proximity ≈ medium storing ▪ proximity distance ≈ n times	X		X			X				X			X		X	X	X	X
7	WO2016039741A1 (R. Lee RAINEY, 2016)	(Original Assignee) Accuweather, Inc.	Customizable weather analysis system	▪ second time ≈ visual indication, second time ▪ second location ≈ second location ▪ third person ≈ geographic area ▪ first location ≈ first location ▪ proximity time ≈ detection unit ▪ travel route ≈ linear path ▪ first time ≈ first time	X		X		X	X	X			X		X	X	X				X
8	WO2014197623A1 (James J. O'hagan, 2014)	(Original Assignee) Zih Corp.	Method, apparatus, and computer program product for monitoring health, fitness, operation, or performance of individuals	▪ negative proximity ≈ threshold value ▪ medium proximity, proximity relationship ≈ second sensor ▪ medium timeframe ≈ medium having	X					X	X		X	X	X	X	X	X				X
9	WO2014197618A2 (Jill STELFOX, 2014)	(Original Assignee) Zih Corp.	Systems and methods for activity determination based on human frame	▪ performing one ≈ receiving sensor data ▪ second location, travel instructions ≈ arrival time	X										X	X	X	X				X
10	CA2972082A1 (Deborah Pinard, 2014)	(Original Assignee) INITLIVE Inc (Current Assignee) INITLIVE Inc	System for quickly finding the whereabouts of friends	▪ third person ≈ positive determination ▪ negative proximity ≈ location information ▪ providing travel data ≈ established time ▪ proximity distance ≈ said response ▪ first data, first time ≈ time t	X	X	X	X	X	X				X			X				X	X
11	US20150286461A1 (Mark Trammell, 2015)	(Original Assignee) Sonos Inc (Current Assignee) Sonos Inc	Methods and Systems for Transmitting Playlists	▪ first location ≈ respective locations ▪ first persons ≈ media streaming ▪ second person ≈ specific p	X		X			X			X	X					X	X	X	X
12	US9349286B2 (Daniel Benhammou, 2016)	(Original Assignee) Acyclica Inc (Current Assignee) Flir Commercial Systems Inc	Traffic analysis system using wireless networking devices	▪ second persons ≈ data transmissions ▪ medium proximity, proximity relationship ≈ short range, MAC address ▪ second data, second person ≈ second data, said time ▪ medium proximity zone ≈ long range	X	X		X		X			X	X	X	X	X	X	X	X	X	X
13	CN105518658A (B·西马诺夫斯基, 2016)	(Original Assignee) 美国结构数据有限公司	用于将数据记录分组的设备、系统以及方法	▪ travel data ≈ 属性的组合 ▪ first data, receiving first data ≈ 第二组 ▪ performing one ≈ 种设备	X	X		X								X	X			X	X	X
14	CN105556511A (A·拉娜, 2016)	(Original Assignee) 美国结构数据有限公司	用于提供位置信息的装置、系统和方法	▪ application performs one ≈ 标识符与 ▪ first data, receiving first data ≈ 第二组	X	X		X							X							X
15	US20140365415A1 (Jill Stelfox, 2014)	(Original Assignee) ZIH Corp (Current Assignee) ZIH Corp	System and method for predicting a criteria of interest	▪ server computing system, receiving second data ≈ remote device ▪ medium timeframe ≈ medium having	X	X					X				X							X
16	WO2014080072A1 (Dhaval Joshi, 2014)	(Original Assignee) Nokia Corporation	Method and apparatus for conveying point of interest data with minimum data exchange	▪ negative proximity ≈ location information ▪ third person ≈ geographic area										X			X
17	US20140364973A1 (James J. O'Hagan, 2014)	(Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp	Method, apparatus, and computer program product for monitoring health, fitness, operation, or performance of individuals	▪ negative proximity, proximity relationships ≈ threshold distance, threshold value ▪ second location ≈ second location ▪ first location ≈ first location ▪ medium timeframe ≈ medium having	X		X			X	X		X	X	X	X	X	X	X			X
18	US20140364975A1 (Michael A. Wohl, 2014)	(Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp	Method, apparatus, and computer program product for combined tag and sensor based performance modeling using real-time data for proximity and movement of objects	▪ medium proximity, proximity relationship ≈ second sensor ▪ second time ≈ second time ▪ first time ≈ first time	X				X	X			X	X	X	X	X	X				X
19	US20140362892A1 (Edward A. Richley, 2014)	(Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp	Multiple antenna interference rejection in ultra-wideband real time locating systems	▪ negative proximity ≈ threshold value ▪ travel instructions, travel data ≈ notch filter ▪ first signal ≈ first signal			X			X					X	X	X			X	X
20	US20140365640A1 (Michael A. Wohl, 2014)	(Original Assignee) ZIH Corp (Current Assignee) ZIH Corp	Method, apparatus, and computer program product for performance analytics determining location based on real-time data for proximity and movement of objects	▪ second time ≈ second time ▪ first time ≈ first time	X				X													X
21	US20140361875A1 (James J. O'Hagan, 2014)	(Original Assignee) ZIH Corp (Current Assignee) ZIH Corp	Method, apparatus, and computer program product for tag and individual correlation	▪ negative proximity, proximity relationships ≈ threshold distance ▪ medium timeframe ≈ medium having	X						X		X	X	X	X	X	X	X			X
22	CN104380293A (帕布洛·贝利韦尔, 2015)	(Original Assignee) 谷歌公司	基于位置从地图历史提供关于相关元素的信息	▪ first location, first time ≈ 相关联的移动 ▪ travel instructions, pushing travel instructions ≈ 执行的指令 ▪ proximity time period ≈ 间段期间, 时间段	X		X		X	X	X				X		X					X
23	US20140012806A1 (Kevin Ching, 2014)	(Original Assignee) JiWire Inc (Current Assignee) NINTHDECIMAL Inc	Location graph based derivation of attributes	▪ first signal ≈ computer instructions ▪ first location ≈ more locations	X		X			X												X
24	US20140012498A1 (Thomas F. Gustafson, 2014)	(Original Assignee) Thomas F. Gustafson; Naphtali Rishe; Ramon Trias; Kenneth Stapleton	Informed Traveler Program and Application	▪ second persons ≈ personal information ▪ mobile computing device ≈ spatial analysis ▪ proximity relationship database ≈ based constraint ▪ first persons ≈ selected time ▪ proximity time period, proximity time ≈ TV camera ▪ proximity distance ≈ n times ▪ first data, first time ≈ time t	X	X	X	X	X	X	X				X				X	X	X	X
25	US20130318027A1 (Gal Almogy, 2013)	(Original Assignee) FLURENSICS Inc (Current Assignee) Edas Healthcare Ltd	System and method to enable detection of viral infection by users of electronic communication devices	▪ negative proximity ≈ first threshold ▪ second persons ≈ second persons ▪ first person ≈ first person	X												X		X	X	X	X
26	CN104823465A (理查德·卡尔森, 2015)	(Original Assignee) 瑞典爱立信有限公司	自动检测设备类型以过滤数据	▪ first location ≈ 数据库确定, 确定其 ▪ receiving first data ≈ 包括接收 ▪ first time ≈ 时间戳 ▪ proximity time period ≈ 时间段 ▪ traffic lights ≈ 网络中 ▪ receiving second data ≈ 中多个	X		X		X	X	X						X					X
27	CN102946584A (D.斯托佩尔, 2013)	(Original Assignee) 微软公司	提供基于位置的服务信息的方法	▪ first persons ≈ 多个处理 ▪ travel instructions ≈ 进行识											X		X		X	X	X
28	EP2570942A2 (Toshifumi OBAYASHI, 2013)	(Original Assignee) Fujitsu Ltd (Current Assignee) Fujitsu Ltd	Information management method and information management apparatus	▪ first time ≈ second character string ▪ negative proximity relationship ≈ third character	X				X								X					X
29	US8400317B2 (Ernest K. Johnson, 2013)	(Original Assignee) Accenture Global Services Ltd (Current Assignee) Accenture Global Services Ltd	System for providing real time locating and gas exposure monitoring	▪ receiving second data ≈ reading device ▪ second location ≈ time interval	X																	X
30	CN103443788A (米科·韦内宁, 2013)	(Original Assignee) 米科·韦内宁	用于步行浏览的方法和装置	▪ proximity distance ≈ 距离通信 ▪ traffic lights ≈ 网络连, 网络中	X												X					X
31	US20130103419A1 (Serge Beaudry, 2013)	(Original Assignee) CareFusion 303 Inc (Current Assignee) CareFusion 303 Inc	Method and system for detecting location of fixed wireless asset in a hospital environment	▪ proximity time period ≈ determined time period ▪ medium timeframe ≈ medium having ▪ first data, first time ≈ time t	X	X	X	X	X	X	X											X
32	US20120268269A1 (Thomas Francis Doyle, 2012)	(Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc	Threat score generation	▪ negative proximity, proximity relationships ≈ threshold distance ▪ receiving second data ≈ particular value ▪ medium timeframe ≈ medium having ▪ first data, first time ≈ time t	X	X	X	X	X	X	X		X	X	X	X	X	X	X			X
33	US20130031179A1 (Nicholas A. Christakis, 2013)	(Original Assignee) Harvard College (Current Assignee) Harvard College ; University of California	Social-network method for anticipating epidemics and trends	▪ negative proximity ≈ predetermined threshold ▪ proximity relationship database ≈ search query											X		X
34	US20120158289A1 (Alice Jane Bernheim Brush, 2012)	(Original Assignee) Microsoft Corp (Current Assignee) Uber Technologies Inc	Mobile search based on predicted location	▪ negative proximity, proximity relationships ≈ threshold distance ▪ second location ≈ second location ▪ third person ≈ geographic area ▪ proximity distance ≈ n times ▪ first data, first time ≈ time t	X	X	X	X	X	X	X		X	X	X	X	X	X	X			X
35	US8630820B2 (David Amis, 2014)	(Original Assignee) Strider Inc (Current Assignee) Strider Inc	Methods and systems for threat assessment, safety management, and monitoring of individuals and groups	▪ first data, mobile computing device ≈ communicatively couple, first data ▪ second person ≈ appropriate response ▪ second data ≈ second data ▪ receiving second data ≈ phone call	X	X		X					X	X						X	X	X
36	US20110254682A1 (Daniel Sigrist Christensen, 2011)	(Original Assignee) Clean Contact ApS (Current Assignee) SAFE CONTACT APS	Hand hygiene system	▪ second time ≈ visual indication ▪ first location ≈ RFID tags	X		X		X	X												X
37	US20110093458A1 (Yu Zheng, 2011)	(Original Assignee) Microsoft Corp (Current Assignee) Microsoft Technology Licensing LLC	Recommending points of interests in a region	▪ first location ≈ spatial distribution ▪ travel instructions ≈ readable media	X		X			X					X		X					X
38	US20080126450A1 (Justin O'Neill, 2008)	(Original Assignee) Yahoo Inc (Current Assignee) Verizon Media Inc	Aggregation syndication platform	▪ medium timeframe ≈ medium having ▪ first data, first location ≈ one second	X	X	X	X		X	X											X
39	US20080071761A1 (Munindar P. Singh, 2008)	(Original Assignee) EKTIMISI SEMIOTICS HOLDINGS LLC (Current Assignee) SCENERA MOBILE TECHNOLOGIES LLC	System and method for identifying a location of interest to be named by a user	▪ second location ≈ highest weight ▪ first location ≈ more locations ▪ first data, first time ≈ time t	X	X	X	X	X	X												X
40	CA2418268A1 (Steven A. Root, 2002)	(Original Assignee) Weatherbank, Inc.; Steven A. Root; Michael R. Root; Locator Ip, Lp (Current Assignee) Locator IP LP	Interactive weather advisory system	▪ first signal ≈ output signals ▪ proximity relationship database ≈ time data			X			X					X
41	CN101083784A (S·A·鲁特, 2007)	(Original Assignee) 气象库公司	交互式气象咨询系统	▪ medium proximity ≈ 用户标识 ▪ receiving first data ≈ 接收空间 ▪ first event ≈ 电话网	X					X												X	X
42	CN1449615A (S·A·鲁特, 2003)	(Original Assignee) 气象库公司	交互式气象咨询系统	▪ medium proximity ≈ 用户标识 ▪ proximity distance ≈ 多个距离 ▪ receiving first data ≈ 网络接收 ▪ application performs one ≈ 标识符与 ▪ first event ≈ 电话网 ▪ signal tracking device ≈ 的动态 ▪ receiving second data ≈ 中多个	X	X	X			X					X							X	X
43	EP1303965A2 (Michael R. Root, 2003)	(Original Assignee) WeatherBank Inc (Current Assignee) WeatherBank Inc	Interactive weather advisory system	▪ first signal ≈ output signals ▪ proximity relationship database ≈ time data			X			X					X
44	US20010021930A1 (W. Bouve, 2001)	(Original Assignee) Bouve W. Lincoln; Semple William T.; Oxman Steven W.	System and methods for remotely accessing a selected group of items of interest from a database	▪ medium proximity ≈ information representative ▪ proximity relationship ≈ signal representative	X					X			X	X	X	X	X	X				X
45	US20010054036A1 (W. Bouve, 2001)	(Original Assignee) Bouve W. Lincoln; Semple William T.; Oxman Steven W.	System and methods for remotely accessing a selected group of items of interest from a database	▪ first time, proximity time ≈ graphical information ▪ second persons ≈ selected category ▪ performing one ≈ information item	X				X		X						X		X			X
46	US6727818B1 (Timothy D. Wildman, 2004)	(Original Assignee) Hill Rom Services Inc (Current Assignee) Hill Rom Services Inc	Hygiene monitoring system	▪ medium proximity, proximity relationship ≈ second sensor ▪ medium proximity zone ≈ new location ▪ first data, first time ≈ time t	X	X	X	X	X	X			X	X	X	X	X	X				X
47	US20020032674A1 (William T. Semple, 2002)	(Original Assignee) CIVIX-DDI LLC; Civix Corp (Current Assignee) CIVIX-DDI LLC ; Civix Corp	System and methods for remotely accessing a selected group of items of interest from a database	▪ medium proximity ≈ information representative ▪ proximity relationship ≈ signal representative	X					X			X	X	X	X	X	X				X
48	US5682525A (W. Lincoln Bouve, 1997)	(Original Assignee) Civix Corp (Current Assignee) CIVIX-DDI LLC	System and methods for remotely accessing a selected group of items of interest from a database	▪ medium proximity ≈ information representative ▪ proximity relationship ≈ signal representative	X					X			X	X	X	X	X	X				X
49	US20160059075A1 (James Molyneux, 2016)	(Original Assignee) Nike Inc (Current Assignee) Nike Inc	Athletic Performance Monitoring Systems and Methods in a Team Sports Environment	▪ travel instructions ≈ first measurement ▪ proximity time period ≈ timed duration	X						X				X		X					X
50	US20160026768A1 (Inder Singh, 2016)	(Original Assignee) Kinsa Inc (Current Assignee) Kinsa Inc	Mobile-enabled health system	▪ mobile computing device ≈ calculated temperature ▪ second persons ≈ personal information ▪ travel instructions ≈ readable media		X									X		X		X
51	US20160088455A1 (14856818 Bozik, 2016)	(Original Assignee) Rapidsos Inc (Current Assignee) Rapidsos Inc	Method and system for emergency call management	▪ negative proximity, negative proximity relationship ≈ emergency communication, location information ▪ third person ≈ Short Message Service ▪ second persons ≈ personal information, telephone number ▪ first data, first location ≈ one second ▪ receiving second data ≈ phone call	X	X	X	X		X				X			X		X			X
52	WO2016044540A1 (Anil Mehta, 2016)	(Original Assignee) Rapidsos, Inc.	Method and system for emergency call management	▪ negative proximity, negative proximity relationship ≈ emergency communication, location information ▪ third person ≈ Short Message Service ▪ second persons ≈ personal information, telephone number ▪ medium proximity ≈ touch screen ▪ first data, first location ≈ one second ▪ receiving second data ≈ phone call	X	X	X	X		X				X			X		X			X
53	US20150378584A1 (Michael George Folgner, 2015)	(Original Assignee) Twitter Inc (Current Assignee) Twitter Inc	Method and system for media selection and sharing	▪ medium timeframe ≈ medium having ▪ second time ≈ second time ▪ first time ≈ first time	X				X		X											X
54	KR101602482B1 (최영근, 2016)	(Original Assignee) (주)아이넷테크	지리정보를 이용한 소방 관제시스템 및 그 제어방법	▪ signal tracking device ≈ 도면을 ▪ performing one ≈ 반경을		X	X			X							X
55	US20160050550A1 (Preet ANAND, 2016)	(Original Assignee) 4 Taps LLC (Current Assignee) Rapidsos Inc	System and Method for Call Management	▪ first time, proximity time ≈ graphical information ▪ negative proximity ≈ location information	X				X		X						X					X
56	US9277389B2 (Ghen Saito, 2016)	(Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc	Personal security system	▪ negative proximity, negative proximity relationship ≈ emergency communication ▪ second location ≈ second location ▪ first location ≈ first location	X		X			X							X					X
57	CN104715286A (秦凯杰, 2015)	(Original Assignee) 北京嘀嘀无限科技发展有限公司	确定订单起点的方法和设备	▪ receiving first data, receiving second data ≈ 的接收 ▪ proximity time period ≈ 时间段	X						X											X
58	CN104657933A (温一刚, 2015)	(Original Assignee) 北京嘀嘀无限科技发展有限公司	用于通知订单供需密度的方法及设备	▪ modeling spread ≈ 用于发送 ▪ signal tracking device ≈ 的动态		X	X			X									X	X
59	US9235974B2 (Ernest K Johnson, 2016)	(Original Assignee) Accenture Global Services Ltd (Current Assignee) Accenture Global Services GmbH ; Accenture Global Services Ltd	System for providing real time locating and gas exposure monitoring	▪ second location ≈ second location ▪ first location ≈ first location ▪ first signal ≈ first gas	X		X			X												X
60	CN104599217A (卓呈祥, 2015)	(Original Assignee) 北京嘀嘀无限科技发展有限公司	用于确定乘客的当前目的地的方法及设备	▪ proximity distance ≈ 第一距离 ▪ proximity time period ≈ 时间段	X						X											X
61	CN104660802A (卢伟冰, 2015)	(Original Assignee) 深圳市金立通信设备有限公司	一种终端	▪ receiving first data ≈ 单元判断 ▪ first time ≈ 单元的	X				X													X
62	WO2015097314A1 (Pieter Crombez, 2015)	(Original Assignee) Televic Healthcare Nv	Localisation system	▪ second time, performing one ≈ following steps ▪ proximity distance ≈ magnetic field ▪ medium proximity zone ≈ more zones	X				X	X							X					X
63	CN104571036A (王阳, 2015)	(Original Assignee) 小米科技有限责任公司	智能家居开启方法及装置	▪ traffic lights ≈ 网络连 ▪ providing travel instructions ≈ 检测到													X
64	CN104442825A (李杰, 2015)	(Original Assignee) 上海交通大学; 上海紫竹新兴产业技术研究院	一种电动汽车剩余行驶里程的预测方法和系统	▪ mobile computing device ≈ 计算结果 ▪ first time ≈ 单元的	X	X			X													X
65	WO2015018309A1 (Gang Cheng, 2015)	(Original Assignee) Tencent Technology (Shenzhen) Company Limited	Location-based taxi information communication service system, terminals and method	▪ negative proximity ≈ location information ▪ first signal tracking device ≈ second information			X			X							X
66	US20150365319A1 (Norman W. Finn, 2015)	(Original Assignee) Cisco Technology Inc (Current Assignee) Cisco Technology Inc	Active/Static Path Redundancy	▪ travel route ≈ destination network device ▪ radiation emitter ≈ received data packet ▪ second data ≈ second data ▪ first data ≈ first data	X	X		X				X				X	X	X				X
67	US9244922B2 (Brett Wilfred Marceau, 2016)	(Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc	Data management system	▪ travel instructions, pushing travel instructions ≈ contact point ▪ first data, first person ≈ said sub	X	X		X	X						X		X			X	X	X
68	US20150111524A1 (John A. South, 2015)	(Original Assignee) Patrocinium Systems LLC (Current Assignee) Patrocinium Systems Inc	Interactive emergency information and identification systems and methods	▪ negative proximity ≈ location information ▪ proximity distance ≈ different distances ▪ first location ≈ virtual boundary	X		X			X							X					X
69	WO2014068573A1 (Yoav Degani, 2014)	(Original Assignee) Aniways Advertising Solutions Ltd.	Custom emoticon generation	▪ proximity relationship database ≈ search query ▪ first event ≈ network node ▪ first person, second person ≈ one image	X								X	X	X					X	X	X	X
70	US9247408B2 (John A. South, 2016)	(Original Assignee) Patrocinium Systems LLC (Current Assignee) Patrocinium Systems Inc	Interactive emergency information and identification	▪ first data, mobile computing device ≈ communicatively couple ▪ negative proximity ≈ location information	X	X		X									X					X
71	CA2809421A1 (William Todd Piett, 2013)	(Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc	Adaptive mobile messaging interface for implementing emergency protocols	▪ proximity relationships ≈ controlling operation ▪ medium timeframe ≈ medium having	X						X								X			X
72	WO2013087719A1 (Diego Costantini, 2013)	(Original Assignee) Ats Group (Ip Holdings) Limited	Operating mobile devices in disaster situations	▪ negative proximity ≈ location information ▪ proximity relationship ≈ physical movement ▪ first data, first time ≈ radio interfaces ▪ radiation emitter ≈ base station	X	X	X	X	X	X		X	X	X	X	X	X	X				X	X
73	WO2014062147A1 (Zane Eaton, 2014)	(Original Assignee) Echostar Ukraine L.L.C.	Disaster warning system	▪ first data, mobile computing device ≈ communicatively couple ▪ negative proximity ≈ location information ▪ server computing system, travel data ≈ Global Positioning, remote device ▪ medium proximity zone ≈ estimated location, new location	X	X		X		X					X	X	X			X	X	X
74	US8588821B1 (Philip Hewinson, 2013)	(Original Assignee) Google LLC (Current Assignee) Google LLC	Techniques for automatically outputting severe weather notifications at a user's mobile computing device	▪ medium timeframe ≈ medium having ▪ second time ≈ second time ▪ first data, first time ≈ third time, first time ▪ second person ≈ specific p	X	X	X	X	X	X	X		X	X						X	X	X
75	US20130091146A1 (Philip Stanger, 2013)	(Original Assignee) WIFARER Inc (Current Assignee) WIFARER Inc	Determination of mobile user profile and preferences from movement patterns	▪ negative proximity ≈ location information ▪ travel data, receiving second data ≈ predetermined value, Global Positioning ▪ medium timeframe ≈ medium having	X	X					X				X	X	X			X	X	X
76	US20130066448A1 (Ramon A. Alonso, 2013)	(Original Assignee) Advanced Technologies Group LLC (Current Assignee) SPORTS TRAXX Inc	Sports telemetry system for collecting performance metrics and data	▪ negative proximity ≈ location information ▪ signal tracking device, performing one ≈ location sensor ▪ proximity time period, proximity time ≈ third signals ▪ first signal ≈ first signal ▪ first location ≈ one camera ▪ receiving first data ≈ end zone	X	X	X			X	X		X	X	X	X	X	X				X
77	US20120303455A1 (James David Busch, 2012)	(Original Assignee) Enhanced Geographic LLC (Current Assignee) Facebook Inc	Systems and Methods to Deliver Digital Location-Based Content to a Visitor at a Physical Business Location	▪ providing travel instructions ≈ location based service ▪ negative proximity ≈ location information ▪ signal tracking device, performing one ≈ location sensor		X	X			X							X
78	US20120225676A1 (Robert W. Boyd, 2012)	(Original Assignee) Zebra Enterprise Solutions LLC (Current Assignee) Zebra Enterprise Solutions LLC ; Zebra Technologies Corp	Method, apparatus, and computer program product for processing received signals for locating	▪ receiving second data ≈ carrier frequency ▪ medium timeframe ≈ medium having ▪ first time, first signal ≈ sampled data ▪ first data, receiving first data ≈ two antennas	X	X	X	X	X	X	X											X
79	WO2012106075A1 (Joseph Ding-Jiu HUANG, 2012)	(Original Assignee) Wifislam, Inc.	Method and apparatus for mobile location determination	▪ first person, third person ≈ contextual information, different times ▪ negative proximity ≈ location information ▪ radiation emitter ≈ different receiver	X							X		X			X			X	X	X
80	US20120126973A1 (Douglas J. DeAngelis, 2012)	(Original Assignee) ISOLYNX LLC (Current Assignee) ISOLYNX LLC	Associative object tracking systems and methods	▪ first location ≈ determined locations ▪ negative proximity ≈ location information ▪ proximity distance ≈ magnetic field ▪ proximity time period ≈ detection area ▪ signal tracking device ≈ when position ▪ medium proximity, proximity relationship ≈ short range	X	X	X			X	X		X	X	X	X	X	X				X
81	US20120092161A1 (Rodger M. West, 2012)	(Original Assignee) SMARTWATCH Inc (Current Assignee) SMARTWATCH Inc	Systems and methods for notifying proximal community members of an emergency or event	▪ negative proximity ≈ location information ▪ signal tracking device, performing one ≈ location sensor		X	X			X							X
82	WO2012021507A2 (Michael T. Hoffman, 2012)	(Original Assignee) Nike International Ltd.	Monitoring fitness using a mobile device	▪ negative proximity ≈ location information ▪ travel instructions ≈ readable media ▪ medium proximity, proximity relationship ≈ second sensor	X					X			X	X	X	X	X	X				X
83	US20110282571A1 (John C. Krumm, 2011)	(Original Assignee) Microsoft Corp (Current Assignee) Microsoft Technology Licensing LLC	Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods	▪ travel route ≈ route planning ▪ medium proximity zone ≈ new location ▪ travel data ≈ travel data ▪ first data, first time ≈ time t	X	X	X	X	X	X						X	X	X		X	X	X
84	US20130063282A1 (David E. Baldwin, 2013)	(Original Assignee) Central Signal LLC (Current Assignee) Central Signal LLC	Roadway detection	▪ first location ≈ warning device ▪ receiving first data ≈ radar sensor ▪ medium proximity zone ≈ long range ▪ first data, first time ≈ time t	X	X	X	X	X	X												X
85	US9258680B2 (Elliott Drucker, 2016)	(Original Assignee) Empire Technology Development LLC (Current Assignee) ATESTRAW LICENSING LLC	Location-transmitting device for determining location of a wireless communication device	▪ receiving second data ≈ transmitting device, database entry ▪ proximity relationship, negative proximity relationship ≈ transmitting radio, short range	X					X			X	X	X	X	X	X				X
86	US20110169959A1 (Douglas J. DeAngelis, 2011)	(Original Assignee) ISOLYNX LLC (Current Assignee) ISOLYNX LLC	Systems And Methods For Analyzing Event Data	▪ first time, proximity time ≈ graphical information, start condition ▪ negative proximity ≈ location information, threshold value ▪ second time ≈ first time interval, second time ▪ medium proximity zone ≈ new location ▪ second person ≈ specific p	X	X	X	X	X	X	X		X	X	X		X		X	X	X	X
87	US20120136959A1 (Rajeev Anand Kadam, 2012)	(Original Assignee) VIRAL HEAT Inc; ViralHeat Inc (Current Assignee) VOCUS NM LLC	Determining demographics based on user interaction	▪ performing one ≈ more data sources ▪ medium timeframe ≈ medium having							X						X
88	WO2011059308A2 (Chen Shiang Khoo, 2011)	(Original Assignee) Chen Shiang Khoo; Wai Lin Winnie Wong	Personal protection system with automatic emergency contact notification based on registered events	▪ server computing system, travel data ≈ Global Positioning ▪ first time ≈ first time ▪ proximity relationships ≈ time limit	X	X			X						X	X	X		X	X	X	X
89	CN102484770A (罗纳德·K·黄, 2012)	(Original Assignee) 苹果公司	用于位置感知设备的位置历史	▪ first time ≈ 时间戳 ▪ radiation emitter ≈ 的发射	X				X			X										X
90	WO2011019525A2 (Ernest K. Johnson, 2011)	(Original Assignee) Accenture Global Services Limited	System for relative positioning of access points in a real time locating system	▪ proximity relationship database ≈ layout information ▪ performing one ≈ performing one ▪ second location ≈ time interval	X										X		X					X
91	WO2012013228A1 (Robert Nordentoft, 2012)	(Original Assignee) Traffic Network Solutions, S. L.	A method and a system for monitoring traffic of vehicles	▪ proximity time period, proximity time ≈ receiving identifying information ▪ second location ≈ geographical locations, time interval ▪ second persons ≈ media access control ▪ performing one ≈ identifying step ▪ medium proximity, proximity relationship ≈ second sensor, short range	X					X			X	X	X	X	X	X				X
92	WO2012000530A1 (Stephan Puchtler, 2012)	(Original Assignee) Elektrobit Automotive Gmbh	Provision of database objects for destination search by a navigation device	▪ proximity relationship database ≈ route guidance ▪ first data, first location ≈ one second ▪ second location ≈ one edge	X	X	X	X		X					X							X
93	WO2011155936A1 (Shawn Griffin, 2011)	(Original Assignee) Tele Atlas North America Inc.	System and method for determining locations within points of interest	▪ travel route ≈ personal navigation device ▪ providing travel instructions ≈ geographic coordinate												X	X	X
94	US20100283630A1 (Ramon A. Alonso, 2010)	(Original Assignee) Advanced Technologies Group LLC (Current Assignee) SPORTS TRAXX Inc	Sports telemetry system for collecting performance metrics and data	▪ first location ≈ different locations ▪ proximity time period, proximity time ≈ third signals ▪ first signal ≈ first signal ▪ second person ≈ said signal	X		X			X	X		X	X	X	X	X	X		X	X	X
95	US20100254282A1 (Peter Chan, 2010)	(Original Assignee) TrafficCast International Inc (Current Assignee) TrafficCast International Inc	Method and system for a traffic management network	▪ second location ≈ configured to communicate information ▪ second persons ≈ media access control ▪ second time ≈ second time ▪ first data, first location ≈ one second ▪ first time ≈ first time	X	X	X	X	X	X									X			X
96	US20100248746A1 (Rafael Saavedra, 2010)	(Original Assignee) Aha Mobile Inc (Current Assignee) Harman International Industries Inc	Predictive search with location-based application	▪ first data, mobile computing device ≈ communicatively couple ▪ negative proximity ≈ location information ▪ negative proximity relationship ≈ search result	X	X		X									X					X
97	US20110054776A1 (Plamen V. Petrov, 2011)	(Original Assignee) 21st Century Systems Inc (Current Assignee) GLOBAL WEATHER Corp	Location-based weather update system, method, and device	▪ travel instructions, pushing travel instructions ≈ GPS satellite signal ▪ negative proximity, proximity relationships ≈ threshold distance ▪ medium timeframe ≈ medium having ▪ radiation emitter ≈ data receiver ▪ mobile computing device, receiving second data ≈ elapsed time ▪ second time ≈ transmit one ▪ medium proximity ≈ touch screen	X	X			X	X	X	X	X	X	X	X	X	X	X			X
98	CN102047697A (C·梅达, 2011)	(Original Assignee) 高通股份有限公司	用于基于周期性位置锁定生成用户简档的方法和装置	▪ receiving first data, receiving second data ≈ 的接收 ▪ first signal ≈ 至少两 ▪ providing travel instructions ≈ 检测到	X		X			X							X					X
99	US20100004997A1 (Chand Mehta, 2010)	(Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc	Methods and apparatus for generating user profile based on periodic location fixes	▪ negative proximity ≈ predetermined threshold ▪ server computing system, travel data ≈ Global Positioning ▪ proximity time ≈ player device	X	X					X				X	X	X			X	X	X
100	US20100076968A1 (Mark R. BOYNS, 2010)	(Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc	Method and apparatus for aggregating and presenting data associated with geographic locations	▪ negative proximity ≈ location information ▪ server computing system, travel data ≈ Global Positioning ▪ proximity time ≈ player device ▪ medium proximity zone ≈ new location	X	X				X	X				X	X	X			X	X	X
101	CA2662606A1 (William Todd Piett, 2009)	(Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc	Personalized message escrow	▪ medium proximity ≈ information representative ▪ proximity relationship ≈ signal representative ▪ first persons ≈ security service ▪ second location ≈ time interval ▪ second time ≈ timer expires ▪ proximity distance ≈ n times	X				X	X			X	X	X	X	X	X	X	X	X	X
102	CN101545897A (汤雄, 2009)	(Original Assignee) 汤雄	基于ZigBee技术的气体监控系统	▪ second person ≈ 特定事件, 的状态 ▪ traffic lights ≈ 网络中	X								X	X			X			X	X	X
103	WO2010111833A1 (Richard F. Poppen, 2010)	(Original Assignee) Decarta Inc.	Point of interest search along a route with return	▪ travel data ≈ satellite system ▪ negative proximity ≈ first threshold												X	X			X	X
104	US20100250305A1 (Morris Lee, 2010)	(Original Assignee) Nielsen Company US LLC (Current Assignee) Nielsen Company US LLC	Methods and apparatus to monitor shoppers in a retail environment	▪ negative proximity ≈ location information ▪ second location ≈ second location ▪ first location ≈ first location ▪ second person ≈ second person ▪ first person ≈ first person ▪ first signal ≈ first signal ▪ second time ≈ second time ▪ first data, first signal tracking device ≈ light beam ▪ first time ≈ first time	X	X	X	X	X	X			X	X			X			X	X	X
105	CN201314243Y (秦宪礼, 2009)	(Original Assignee) 黑龙江科技学院	基于射频技术的瓦斯含量检测无线发射接收装置	▪ providing travel instructions ≈ 的接收装置 ▪ second data, second time ≈ 第一输出 ▪ radiation emitter ≈ 的发射 ▪ modulating traffic lights ≈ 的信号	X	X		X	X			X					X					X
106	CN201340646Y (邓新文, 2009)	(Original Assignee) 邓新文; 陈鑫	远距离瓦斯监控报警装置	▪ first signal ≈ 射频放大器 ▪ proximity relationships, proximity relationship ≈ 连接关系 ▪ first event ≈ 线收发器 ▪ proximity distance ≈ 远距离	X		X			X			X	X	X	X	X	X	X			X	X
107	US20100081411A1 (John Mathew Montenero, 2010)	(Original Assignee) John Mathew Montenero, III	Multifunctional telemetry alert safety system (MTASS)	▪ subsequent travel ≈ wireless mesh network ▪ receiving first data ≈ comparison signal ▪ radiation emitter ≈ base station ▪ performing one ≈ fixed wall	X							X					X			X		X
108	US20100036807A1 (Jay H. Lieske, 2010)	(Original Assignee) YellowPages com LLC (Current Assignee) Thryv Inc	Systems and Methods to Sort Information Related to Entities Having Different Locations	▪ second persons ≈ telephone number ▪ negative proximity relationship ≈ search result													X		X
109	US20100023515A1 (Andreas Marx, 2010)	(Original Assignee) Andreas Marx	Data clustering engine	▪ second time, performing one ≈ following steps ▪ providing travel data ≈ one cluster	X				X								X				X	X
110	US20080280565A1 (Vladan Jevremovic, 2008)	(Original Assignee) inCode Telecom Group Inc (Current Assignee) inCode Telecom Group Inc	Indoor coverage estimation and intelligent network planning	▪ negative proximity, negative proximity relationship ≈ outer wall ▪ proximity distance, proximity relationship ≈ node b	X								X	X	X	X	X	X				X
111	US20090231198A1 (Peter M. Walsh, 2009)	(Original Assignee) Disney Enterprises Inc (Current Assignee) Disney Enterprises Inc	Active player tracking	▪ negative proximity ≈ predetermined threshold ▪ providing travel instructions, providing travel data ≈ corresponding signals, first radio ▪ second location ≈ time interval	X												X				X	X
112	US20090153364A1 (John E. Buchalo, 2009)	(Original Assignee) Motorola Solutions Inc (Current Assignee) Motorola Solutions Inc	Method and apparatus for vehicle traffic time calculation	▪ second location ≈ geographical locations ▪ first signal ≈ first signal ▪ second time ≈ second time ▪ proximity relationship ≈ MAC address ▪ first time ≈ first time	X		X		X	X			X	X	X	X	X	X				X
113	US20090119222A1 (Kevin P. O'Neil, 2009)	(Original Assignee) CYVA RESEARCH Corp (Current Assignee) CYVA RESEARCH HOLDINGS LLC	E-Bazaar featuring personal information security	▪ performing one ≈ information item ▪ first data ≈ more product	X	X		X									X					X
114	US20080266174A1 (Miguel Angel Medina Herrero, 2008)	(Original Assignee) NAVENTO Tech SL (Current Assignee) NAVENTO TECHNOLOGIES SL ; SAP SE ; NAVENTO Tech SL	Location method and system and locatable portable device	▪ travel data, second data ≈ satellite system, said time ▪ second time, performing one ≈ following steps ▪ mobile computing device ≈ said position ▪ signal tracking device ≈ motion sensor ▪ first data, first time ≈ time t	X	X	X	X	X	X			X	X		X	X			X	X	X
115	KR20090032349A (이상욱, 2009)	(Original Assignee) 재단법인 아산사회복지재단	무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템및 서비스 제공방법	▪ third person ≈ 식별을 ▪ server computing system ≈ 상황이 ▪ performing one ≈ 경우를		X								X	X		X
116	US20090036148A1 (David Yach, 2009)	(Original Assignee) Research in Motion Ltd (Current Assignee) BlackBerry Ltd	Mapping an event location via a calendar application	▪ negative proximity ≈ location information ▪ application performs one ≈ home address											X		X
117	US20080157961A1 (Tae-suh Park, 2008)	(Original Assignee) Samsung Electronics Co Ltd (Current Assignee) Samsung Electronics Co Ltd	System, method and medium tracking action history of user	▪ server computing system, travel data ≈ Global Positioning ▪ signal tracking device, performing one ≈ location sensor ▪ application performs one ≈ supply unit		X	X			X					X	X	X			X	X
118	US7663359B2 (Lei Li, 2010)	(Original Assignee) Shenzhen Futaihong Precision Industry Co Ltd; FIH Hong Kong Ltd (Current Assignee) Shenzhen Futaihong Precision Industry Co Ltd ; FIH Hong Kong Ltd	Testing mechanism for casings	▪ medium proximity zone ≈ cylindrical barrel ▪ subsequent travel ≈ elastic member ▪ signal tracking device ≈ one position ▪ third person ≈ top board		X	X			X				X						X
119	US20080059050A1 (Lan Lin, 2008)	(Original Assignee) Hitachi Ltd (Current Assignee) Hitachi Ltd	Road congestion detection by distributed vehicle-to-vehicle communication systems	▪ second location ≈ time interval ▪ negative proximity ≈ reply message	X												X					X
120	US8034290B1 (Leo Skiba, 2011)	(Original Assignee) LDARtools Inc (Current Assignee) LDARtools Inc	Reigniting flame in volatile organic compound device	▪ application performs one ≈ error signal ▪ first signal, first data ≈ first signal, one second	X	X	X	X		X					X							X
121	US20080140233A1 (Lisa A. Seacat, 2008)	(Original Assignee) International Business Machines Corp (Current Assignee) International Business Machines Corp	Determining team effectiveness through sporting events	▪ first persons ≈ computer readable program ▪ first data, first time ≈ time t	X	X	X	X	X	X									X	X	X	X
122	US20070073841A1 (Mark Ryan, 2007)	(Original Assignee) Weather Co LLC (Current Assignee) DTN LLC	Weather information delivery systems and methods providing planning functionality and navigational tools	▪ travel route, travel data ≈ second navigation ▪ second persons ≈ selected category												X	X	X	X	X	X
123	US20080109404A1 (Anders O. HOLM, 2008)	(Original Assignee) Sony Mobile Communications AB (Current Assignee) Sony Mobile Communications AB	Location dependent music search	▪ server computing system, travel data ≈ Global Positioning, remote device ▪ radiation emitter ≈ signal receiver, base station	X	X						X			X	X	X			X	X	X
124	US8045954B2 (Sean J. Barbeau, 2011)	(Original Assignee) University of South Florida (Current Assignee) University of South Florida	Wireless emergency-reporting system	▪ first signal ≈ software instructions ▪ receiving second data ≈ phone call	X		X			X												X
125	US20070298812A1 (Munindar P. Singh, 2007)	(Original Assignee) EKTIMISI HOLDINGS LLC; EKTIMISI SEMIOTICS HOLDINGS LLC (Current Assignee) SCENERA MOBILE TECHNOLOGIES LLC	System and method for naming a location based on user-specific information	▪ first time, proximity time ≈ graphical information ▪ second persons ≈ telephone number ▪ second data ≈ second data ▪ first data ≈ first data	X	X		X	X		X								X			X
126	US20070285426A1 (Nicholas A. Matina, 2007)	(Original Assignee) Matina Nicholas A	Graph with zoom operated clustering functions	▪ second data ≈ second data ▪ first data ≈ first data	X	X		X														X

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	NINTH INTERNATIONAL CONFERENCE ON ROAD TRANSPORT INFORMATION AND CONTROL. (454): 59-63 1998 Publication Year: 1998 Exploiting Telecommunications To Deliver Real Time Transport Information BT Laboratories, UK S.M. Thompson ; D.E. Sheat
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (arrival time) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (arrival time) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (arrival time) of an MCD or a person having a positive proximity relationship based on historical travel data .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (arrival time) of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (arrival time) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (arrival time) of a MCD or a person having a negative or positive proximity relationship in real time .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event (based applications) ; receiving second data regarding a second person at a second location (arrival time) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications (first event) on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) s , delivered using a variety of novel telecommunication services .
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (based applications) is a natural disaster , terrorist event , catastrophe , or other event .	Exploiting Telecommunications To Deliver Real Time Transport Information . The provision of accurate , timely , traffic and transport information will have significant benefits for travellers and help combat the problems of traffic congestion and pollution . This paper reviews our research in the use of novel telecommunications services to collate and provide both personalised and community wide , time critical , transport information . The objective is to explore opportunities offered by telecommunications to improve the efficiency and use of transport services . Innovative uses of advanced Internet technologies coupled with information delivery using messaging technologies such as pagers and mobile phones are described . We will outline the impact of recent advances in server based applications (first event) on the management and delivery of dynamic information . We review an Internet based application that takes real time bus location data and predicts arrival times , delivered using a variety of novel telecommunication services .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN105492865A Filed: 2015-09-02 Issued: 2016-04-13 交互式动态云导航系统 (Original Assignee) 薛俊华薛俊华
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (的行驶) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (中心距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN105492865A CLAIM 19 . 一种交互式动态云导航系统，包括：一服务器，其包括一数据库，其中所述数据库储存有一地图及多个账户；多个导航终端和对应的多个用户，其中：各所述用户通过其对应的导航终端在所述服务器登录其对应的账户，并向所述服务器上传一对应于地图，且包含出发区域和到达区域坐标数据的导航线路请求 ; 各所述导航终端包括一数据采集模块，一第一数据储存模块，一第一数据传输模块和一第一输入输出模块，其中所述数据采集模块包括一GPS芯片 ; 所述数据采集模块用于采集数据 ; 所述第一数据传输模块用于所述导航终端和所述服务器之间的数据传输 ; 所述第一数据储存模块用于储存数据 ; 所述第一输入输出模块用于向所述用户输入和输出所述导航终端储存的数据 ; 依据所述数据采集模块、所述第一数据储存模块和所述第一数据传输模块，所述服务器实时记录各导航终端对应的用户的地理位置和时间，并储存于所述数据库；多个辅助终端，分别对应于所述多个用户，其中：各所述用户通过其对应的辅助终端在所述服务器登录其对应的账户，以发起所述导航线路请求 ; 各所述辅助终端包括一第二数据存储模块、一第二数据传输模块和一第二输入输出模块 ; 所述第二数据传输模块用于所述辅助终端和所述服务器之间的数据传输 ; 所述第二数据存储模块用于储存数据 ; 所述第二输入输出模块用于向所述用户输入和输出所述辅助终端储存的数据；其中，所述用户通过所述第一数据传输模块或所述第二数据传输模块上传所述导航线路请求至所述服务器 ; 所述服务器接收所述导航线路请求，并从所有用户中分别计算出所述出发区域的任务关联人和所述到达区域的任务关联人；所述任务关联人至少包含以下5个类型用户中的一个类型：（1)所述用户在任务对应区域出现的次数超过一数值；（2)-时间段 (proximity time period) 内所述用户在任务对应区域出现的时间累积超过一数值；（3)所述用户出现在所述任务对应的区域的时间点与所述任务被发起的时间点的差值，小于一数值；（4)所述用户所在的地理位置与所述任务对应区域的中心距离 (proximity distance) 小于一数值 ; 及(5)所述用户出现在所述任务对应的区域时，所述用户的移动速度小于一数值；所述服务器计算所述出发区域的任务关联人和所述到达区域的任务关联人的交集 ; 进一步地，所述服务器分析任务关联人的GPS轨迹，计算所述交集包含的任务关联人，其往来于所述出发区域和所述到达区域之间的行驶 (first time) 线路 ; 所述服务器在所述行驶线路中，将所述交集包含的任务关联人使用次数最多的线路或所述交集包含的任务关联人行驶用时最少的线路推送给发起所述导航线路请求的用户。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (分别计算) .	CN105492865A CLAIM 14 . 根据权利要求13所述的交互式动态云导航系统，其中，所述服务器进一步分别计算 (server computing system) 出选择所述任务对应的同意选项和反对选项的任务接收者数量 ; 所述服务器根据选择所述同意选项和反对选项的任务接收者数量，分别计算出选择所述同意选项和所述反对选项的任务接收者在所有任务接收者中的占比 ; 所述服务器将选择所述反对选项的任务接收者数量、选择所述同意选项的任务接收者数量、选择所述反对选项的任务接收者在所有任务接收者中的占比、选择所述同意选项的任务接收者在所有任务接收者中的占比，逐一比对所述任务对应区域的四个统计值，全部通过后，所述服务器进一步将所述任务对应的所述任务正文存储到所述地图内，形成一地图节点数据；其中所述四个统计值分别为两个计数统计值和两个比例统计值 ; 其中：所述两个计数统计值为 : 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述同意选项的任务接收者数量需要满足的最少个数 ; 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述反对选项的任务接收者数量需要满足的最多个数；所述两个比例统计值为 : 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述同意选项的任务接收者个数占总任务接收者数量占比需要满足的最小比例 ; 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述反对选项的任务接收者个数占总任务接收者数量占比需要满足的最大比例。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (的行驶) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN105492865A CLAIM 19 . 一种交互式动态云导航系统，包括：一服务器，其包括一数据库，其中所述数据库储存有一地图及多个账户；多个导航终端和对应的多个用户，其中：各所述用户通过其对应的导航终端在所述服务器登录其对应的账户，并向所述服务器上传一对应于地图，且包含出发区域和到达区域坐标数据的导航线路请求 ; 各所述导航终端包括一数据采集模块，一第一数据储存模块，一第一数据传输模块和一第一输入输出模块，其中所述数据采集模块包括一GPS芯片 ; 所述数据采集模块用于采集数据 ; 所述第一数据传输模块用于所述导航终端和所述服务器之间的数据传输 ; 所述第一数据储存模块用于储存数据 ; 所述第一输入输出模块用于向所述用户输入和输出所述导航终端储存的数据 ; 依据所述数据采集模块、所述第一数据储存模块和所述第一数据传输模块，所述服务器实时记录各导航终端对应的用户的地理位置和时间，并储存于所述数据库；多个辅助终端，分别对应于所述多个用户，其中：各所述用户通过其对应的辅助终端在所述服务器登录其对应的账户，以发起所述导航线路请求 ; 各所述辅助终端包括一第二数据存储模块、一第二数据传输模块和一第二输入输出模块 ; 所述第二数据传输模块用于所述辅助终端和所述服务器之间的数据传输 ; 所述第二数据存储模块用于储存数据 ; 所述第二输入输出模块用于向所述用户输入和输出所述辅助终端储存的数据；其中，所述用户通过所述第一数据传输模块或所述第二数据传输模块上传所述导航线路请求至所述服务器 ; 所述服务器接收所述导航线路请求，并从所有用户中分别计算出所述出发区域的任务关联人和所述到达区域的任务关联人；所述任务关联人至少包含以下5个类型用户中的一个类型：（1)所述用户在任务对应区域出现的次数超过一数值；（2)-时间段内所述用户在任务对应区域出现的时间累积超过一数值；（3)所述用户出现在所述任务对应的区域的时间点与所述任务被发起的时间点的差值，小于一数值；（4)所述用户所在的地理位置与所述任务对应区域的中心距离小于一数值 ; 及(5)所述用户出现在所述任务对应的区域时，所述用户的移动速度小于一数值；所述服务器计算所述出发区域的任务关联人和所述到达区域的任务关联人的交集 ; 进一步地，所述服务器分析任务关联人的GPS轨迹，计算所述交集包含的任务关联人，其往来于所述出发区域和所述到达区域之间的行驶 (first time) 线路 ; 所述服务器在所述行驶线路中，将所述交集包含的任务关联人使用次数最多的线路或所述交集包含的任务关联人行驶用时最少的线路推送给发起所述导航线路请求的用户。
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (时间段) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CN105492865A CLAIM 19 . 一种交互式动态云导航系统，包括：一服务器，其包括一数据库，其中所述数据库储存有一地图及多个账户；多个导航终端和对应的多个用户，其中：各所述用户通过其对应的导航终端在所述服务器登录其对应的账户，并向所述服务器上传一对应于地图，且包含出发区域和到达区域坐标数据的导航线路请求 ; 各所述导航终端包括一数据采集模块，一第一数据储存模块，一第一数据传输模块和一第一输入输出模块，其中所述数据采集模块包括一GPS芯片 ; 所述数据采集模块用于采集数据 ; 所述第一数据传输模块用于所述导航终端和所述服务器之间的数据传输 ; 所述第一数据储存模块用于储存数据 ; 所述第一输入输出模块用于向所述用户输入和输出所述导航终端储存的数据 ; 依据所述数据采集模块、所述第一数据储存模块和所述第一数据传输模块，所述服务器实时记录各导航终端对应的用户的地理位置和时间，并储存于所述数据库；多个辅助终端，分别对应于所述多个用户，其中：各所述用户通过其对应的辅助终端在所述服务器登录其对应的账户，以发起所述导航线路请求 ; 各所述辅助终端包括一第二数据存储模块、一第二数据传输模块和一第二输入输出模块 ; 所述第二数据传输模块用于所述辅助终端和所述服务器之间的数据传输 ; 所述第二数据存储模块用于储存数据 ; 所述第二输入输出模块用于向所述用户输入和输出所述辅助终端储存的数据；其中，所述用户通过所述第一数据传输模块或所述第二数据传输模块上传所述导航线路请求至所述服务器 ; 所述服务器接收所述导航线路请求，并从所有用户中分别计算出所述出发区域的任务关联人和所述到达区域的任务关联人；所述任务关联人至少包含以下5个类型用户中的一个类型：（1)所述用户在任务对应区域出现的次数超过一数值；（2)-时间段 (proximity time period) 内所述用户在任务对应区域出现的时间累积超过一数值；（3)所述用户出现在所述任务对应的区域的时间点与所述任务被发起的时间点的差值，小于一数值；（4)所述用户所在的地理位置与所述任务对应区域的中心距离小于一数值 ; 及(5)所述用户出现在所述任务对应的区域时，所述用户的移动速度小于一数值；所述服务器计算所述出发区域的任务关联人和所述到达区域的任务关联人的交集 ; 进一步地，所述服务器分析任务关联人的GPS轨迹，计算所述交集包含的任务关联人，其往来于所述出发区域和所述到达区域之间的行驶线路 ; 所述服务器在所述行驶线路中，将所述交集包含的任务关联人使用次数最多的线路或所述交集包含的任务关联人行驶用时最少的线路推送给发起所述导航线路请求的用户。
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (的线路) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (分别计算) , which is stored as either positive or negative .	CN105492865A CLAIM 14 . 根据权利要求13所述的交互式动态云导航系统，其中，所述服务器进一步分别计算 (server computing system) 出选择所述任务对应的同意选项和反对选项的任务接收者数量 ; 所述服务器根据选择所述同意选项和反对选项的任务接收者数量，分别计算出选择所述同意选项和所述反对选项的任务接收者在所有任务接收者中的占比 ; 所述服务器将选择所述反对选项的任务接收者数量、选择所述同意选项的任务接收者数量、选择所述反对选项的任务接收者在所有任务接收者中的占比、选择所述同意选项的任务接收者在所有任务接收者中的占比，逐一比对所述任务对应区域的四个统计值，全部通过后，所述服务器进一步将所述任务对应的所述任务正文存储到所述地图内，形成一地图节点数据；其中所述四个统计值分别为两个计数统计值和两个比例统计值 ; 其中：所述两个计数统计值为 : 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述同意选项的任务接收者数量需要满足的最少个数 ; 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述反对选项的任务接收者数量需要满足的最多个数；所述两个比例统计值为 : 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述同意选项的任务接收者个数占总任务接收者数量占比需要满足的最小比例 ; 所述服务器将所述区域的任务对应的任务正文存储到所述地图时，所述任务对应的选择所述反对选项的任务接收者个数占总任务接收者数量占比需要满足的最大比例。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150339397A1 Filed: 2015-08-06 Issued: 2015-11-26 Mobile search based on predicted location (Original Assignee) Microsoft Technology Licensing LLC (Current Assignee) Uber Technologies Inc Alice Jane Bernheim Brush, John Charles Krumm, Shahriyar Amini, Amy Karlson, Jaime Teevan, Nissanka Arachchige Bodhi Priyantha
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20150339397A1 CLAIM 21 . A system comprising : a processor ; and a memory device storing computer-readable instructions which , when executed by the processor , cause the processor to : receive a search query from a mobile computing device , receive current location information (negative proximity) of the mobile computing device from the mobile computing device , access a location history of the mobile computing device , determine whether the search query includes a geographic search term , and in an instance where the search query does not include a geographic search term : identify a predicted location of the mobile device using the current location information and the location history , and generate a trajectory-aware search query from the search query and the predicted location . US20150339397A1 CLAIM 28 . The system of claim 21 , wherein the computer-readable instructions , when executed by the processor , cause the processor to : send the trajectory-aware search query to a search engine that produces trajectory-aware search result (negative proximity relationship) s relevant to the trajectory-aware search query , and provide the trajectory-aware search results to the mobile computing device .

US10198779B2

Filed: 2016-06-03 Issued: 2019-02-05

Tracking proximity relationships and uses thereof

(Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc

Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny

US20150339397A1

Filed: 2015-08-06 Issued: 2015-11-26

Mobile search based on predicted location

(Original Assignee) Microsoft Technology Licensing LLC (Current Assignee) Uber Technologies Inc

Alice Jane Bernheim Brush, John Charles Krumm, Shahriyar Amini, Amy Karlson, Jaime Teevan, Nissanka Arachchige Bodhi Priyantha

US10198779B2
CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ;

providing travel instructions to a safe zone ;

modulating traffic lights on the predicted travel route .

US20150339397A1
CLAIM 21 . A system comprising : a processor ;
and a memory device storing computer-readable instructions which , when executed by the processor , cause the processor to : receive a search query from a mobile computing device , receive current location information (negative proximity) of the mobile computing device from the mobile computing device , access a location history of the mobile computing device , determine whether the search query includes a geographic search term , and in an instance where the search query does not include a geographic search term : identify a predicted location of the mobile device using the current location information and the location history , and generate a trajectory-aware search query from the search query and the predicted location .

US20150339397A1
CLAIM 28 . The system of claim 21 , wherein the computer-readable instructions , when executed by the processor , cause the processor to : send the trajectory-aware search query to a search engine that produces trajectory-aware search result (negative proximity relationship) s relevant to the trajectory-aware search query , and provide the trajectory-aware search results to the mobile computing device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150186389A1 Filed: 2015-03-16 Issued: 2015-07-02 Recommending Points of Interests in a Region (Original Assignee) Microsoft Technology Licensing LLC (Current Assignee) Microsoft Technology Licensing LLC Yu Zheng, Chang Sheng, Xing Xie
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (minimum number) .	US20150186389A1 CLAIM 25 . The method of claim 23 , wherein the calculating the bounds comprises determining a ratio of a minimum number (server computing system) of points of interest of a first category of the representative categories in a first region of the geographical regions to a maximum number of points of interest of the first category in the first region .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (readable media) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (minimum number) , which is stored as either positive or negative .	US20150186389A1 CLAIM 25 . The method of claim 23 , wherein the calculating the bounds comprises determining a ratio of a minimum number (server computing system) of points of interest of a first category of the representative categories in a first region of the geographical regions to a maximum number of points of interest of the first category in the first region . US20150186389A1 CLAIM 39 . One or more computer-readable media (travel instructions) storing computer-executable instructions that , when executed , cause one or more processors to perform acts comprising : providing a spatial map containing geographical regions partitioned into grids ; identifying a user-specified region with two or more points of interests in each of one or more representative categories in the spatial map ; pruning a set of geographical region candidates ; searching from the pruned set of geographical region candidates for geographical region candidates having another two or more points of interests in each of the one or more representative categories based at least in part on a spatial similarity to comparable the two or more points of interest in the one or more representative categories of the user-specified region , the spatial similarity comprises comparable distribution of the two or more points of interests in the representative categories ; and presenting a predefined number of top geographical region candidates based at least in part on a result of the searching .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (readable media) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20150186389A1 CLAIM 39 . One or more computer-readable media (travel instructions) storing computer-executable instructions that , when executed , cause one or more processors to perform acts comprising : providing a spatial map containing geographical regions partitioned into grids ; identifying a user-specified region with two or more points of interests in each of one or more representative categories in the spatial map ; pruning a set of geographical region candidates ; searching from the pruned set of geographical region candidates for geographical region candidates having another two or more points of interests in each of the one or more representative categories based at least in part on a spatial similarity to comparable the two or more points of interest in the one or more representative categories of the user-specified region , the spatial similarity comprises comparable distribution of the two or more points of interests in the representative categories ; and presenting a predefined number of top geographical region candidates based at least in part on a result of the searching .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104391967A Filed: 2014-12-03 Issued: 2015-03-04 一种基于多源数据分析的就诊推荐方法 (Original Assignee) 武汉邮电科学研究院许德玮
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time (时间戳) , wherein the first person has a contagion ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104391967A CLAIM 6 . 如权利要求5所述的方法，其特征在于，第三步具体包括以下步骤：步骤A310、接收用户就诊推荐请求，并记录该就诊推荐请求的接收 (receiving first data, receiving second data) 时间；步骤A320、根据用户所处位置信息计算用户与每个医疗卫生机构间距离；步骤A330、根据该就诊推荐请求的接收时间获取相应时间段内各医疗卫生机构的当前人口分布密度；步骤A340、将每个医疗卫生机构的当前人口分布密度、医疗卫生机构各个科室的医疗水平、以往就诊病患的评价级别以及用户与医疗卫生机构间距离代入数学模型，得到每个医疗卫生机构在该时间段内用户选择的可能性。 CN104391967A CLAIM 8 . 如权利要求7所述的方法，其特征在于，步骤A343包括以下步骤：将医疗卫生机构覆盖范围等分为多个分析区域TAZ(n)，其中：n为正整数；获取时间段T(i)内所有手机的定位信息，将其与每个分析区域TAZ(n)进行映射，得到每个手机用户途经的分析区域情况；按预设时间间隔将时间段T(i)等分为m个范围，m为正整数；以手机号为用户ID，将每个预设时间间隔内的手机定位信息按用户ID进行分组，并对每组手机定位信息按时间戳 (first time) 进行排序；分别获取每个预设时间间隔内每个用户ID对应的最后分析区域，得到在每个预设时间间隔内各分析区域TAZ(n)所对应的ID集；将分析区域TAZ(n)的每一预设时间间隔的ID集与相邻的上一预设时间间隔的每一区域的ID集进行合并，ID相同的保留时间戳最新的数据，得到的分析区域TAZ(n)合并ID集；将分析区域TAZ(n)合并ID集中每个ID对应的时间戳与时间段T(i)结束时刻的时间间隔与预设时间阈值做比较，删除合并ID集中时间间隔大于预设时间阈值的用户ID，每个分析区域合并ID集中用户ID的数量即为时间段T(i)内手机用户的数量；将时间段T(i)内每个分析区域手机用户的数量相加，获得每个医疗卫生机构覆盖范围的时间段T(i)内手机用户的数量。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (时间戳) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN104391967A CLAIM 8 . 如权利要求7所述的方法，其特征在于，步骤A343包括以下步骤：将医疗卫生机构覆盖范围等分为多个分析区域TAZ(n)，其中：n为正整数；获取时间段T(i)内所有手机的定位信息，将其与每个分析区域TAZ(n)进行映射，得到每个手机用户途经的分析区域情况；按预设时间间隔将时间段T(i)等分为m个范围，m为正整数；以手机号为用户ID，将每个预设时间间隔内的手机定位信息按用户ID进行分组，并对每组手机定位信息按时间戳 (first time) 进行排序；分别获取每个预设时间间隔内每个用户ID对应的最后分析区域，得到在每个预设时间间隔内各分析区域TAZ(n)所对应的ID集；将分析区域TAZ(n)的每一预设时间间隔的ID集与相邻的上一预设时间间隔的每一区域的ID集进行合并，ID相同的保留时间戳最新的数据，得到的分析区域TAZ(n)合并ID集；将分析区域TAZ(n)合并ID集中每个ID对应的时间戳与时间段T(i)结束时刻的时间间隔与预设时间阈值做比较，删除合并ID集中时间间隔大于预设时间阈值的用户ID，每个分析区域合并ID集中用户ID的数量即为时间段T(i)内手机用户的数量；将时间段T(i)内每个分析区域手机用户的数量相加，获得每个医疗卫生机构覆盖范围的时间段T(i)内手机用户的数量。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time (时间戳) , wherein the first person is at a first event ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104391967A CLAIM 6 . 如权利要求5所述的方法，其特征在于，第三步具体包括以下步骤：步骤A310、接收用户就诊推荐请求，并记录该就诊推荐请求的接收 (receiving first data, receiving second data) 时间；步骤A320、根据用户所处位置信息计算用户与每个医疗卫生机构间距离；步骤A330、根据该就诊推荐请求的接收时间获取相应时间段内各医疗卫生机构的当前人口分布密度；步骤A340、将每个医疗卫生机构的当前人口分布密度、医疗卫生机构各个科室的医疗水平、以往就诊病患的评价级别以及用户与医疗卫生机构间距离代入数学模型，得到每个医疗卫生机构在该时间段内用户选择的可能性。 CN104391967A CLAIM 8 . 如权利要求7所述的方法，其特征在于，步骤A343包括以下步骤：将医疗卫生机构覆盖范围等分为多个分析区域TAZ(n)，其中：n为正整数；获取时间段T(i)内所有手机的定位信息，将其与每个分析区域TAZ(n)进行映射，得到每个手机用户途经的分析区域情况；按预设时间间隔将时间段T(i)等分为m个范围，m为正整数；以手机号为用户ID，将每个预设时间间隔内的手机定位信息按用户ID进行分组，并对每组手机定位信息按时间戳 (first time) 进行排序；分别获取每个预设时间间隔内每个用户ID对应的最后分析区域，得到在每个预设时间间隔内各分析区域TAZ(n)所对应的ID集；将分析区域TAZ(n)的每一预设时间间隔的ID集与相邻的上一预设时间间隔的每一区域的ID集进行合并，ID相同的保留时间戳最新的数据，得到的分析区域TAZ(n)合并ID集；将分析区域TAZ(n)合并ID集中每个ID对应的时间戳与时间段T(i)结束时刻的时间间隔与预设时间阈值做比较，删除合并ID集中时间间隔大于预设时间阈值的用户ID，每个分析区域合并ID集中用户ID的数量即为时间段T(i)内手机用户的数量；将时间段T(i)内每个分析区域手机用户的数量相加，获得每个医疗卫生机构覆盖范围的时间段T(i)内手机用户的数量。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150052132A1 Filed: 2014-10-31 Issued: 2015-02-19 Location graph based derivation of attributes (Original Assignee) NinthDecimal Inc; JiWire Inc (Current Assignee) NinthDecimal Inc Kevin Ching, Grigory Sokol, Ahmad Fairiz Azizi, Luke Gain, Yury Zhyshko, Mark Dixon, Robert Abusaidi, Kevin McKenzie, John Raymond Klein, Leonid Blyukher, Jeff Pittelkau, David Staas
US10198779B2 CLAIM 1 . A method of determining proximity relationships (medium storing) , comprising : receiving first data regarding a first person (confidence levels) at a first location (confidence levels) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping . US20150052132A1 CLAIM 3 . The method of claim 2 , wherein the pattern is based at least in part on times (proximity distance) of visiting locations in the subset of the plurality of predetermined first locations . US20150052132A1 CLAIM 8 . A non-transitory computer storage medium storing (medium proximity, negative proximity, medium proximity zone, determining proximity relationships) instructions configured to instruct a computing apparatus to perform a method , the method comprising : storing , in the computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (confidence levels) is within a first contagious zone of a first signal tracking device .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (confidence levels) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (medium storing) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping . US20150052132A1 CLAIM 8 . A non-transitory computer storage medium storing (medium proximity, negative proximity, medium proximity zone, determining proximity relationships) instructions configured to instruct a computing apparatus to perform a method , the method comprising : storing , in the computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (geographic area) relative to the second person .	US20150052132A1 CLAIM 4 . The method of claim 1 , wherein each location of the plurality of predetermined first locations corresponds to a predefined geographic area (third person) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (medium storing) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20150052132A1 CLAIM 8 . A non-transitory computer storage medium storing (medium proximity, negative proximity, medium proximity zone, determining proximity relationships) instructions configured to instruct a computing apparatus to perform a method , the method comprising : storing , in the computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (confidence levels) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (confidence levels) , or when the second person becomes infected and then is a new first person (confidence levels) in subsequent travel .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (confidence levels) ; and providing travel data to a place for contaminated first persons (confidence levels) to the new first person .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (medium storing) , comprising : receiving first data regarding a first person (confidence levels) at a first location (confidence levels) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20150052132A1 CLAIM 1 . A method , comprising : storing , in a computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels (first person, first location, first persons) of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping . US20150052132A1 CLAIM 3 . The method of claim 2 , wherein the pattern is based at least in part on times (proximity distance) of visiting locations in the subset of the plurality of predetermined first locations . US20150052132A1 CLAIM 8 . A non-transitory computer storage medium storing (medium proximity, negative proximity, medium proximity zone, determining proximity relationships) instructions configured to instruct a computing apparatus to perform a method , the method comprising : storing , in the computing apparatus , a first set of location data , the first set of location data identifying : a plurality of predetermined first locations , and a set of attributes associated with the plurality of predetermined first locations ; receiving , in the computing apparatus , user location data , the user location data identifying a plurality of second locations at which a mobile device of a user is observed ; mapping , by the computing apparatus , the plurality of second locations of the mobile device to corresponding locations in the plurality of predetermined first locations , wherein each of the plurality of second locations of the mobile device is mapped to a corresponding location in the plurality of predetermined first locations in the first set of location data ; updating , by the computing apparatus , a profile of the user to include attributes associated with the corresponding locations in the plurality of predetermined first locations to which the plurality of second locations of the mobile device are mapped , and confidence levels of the attributes that are associated with the corresponding locations and updated in the profile of the user based on the mapping .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2016039741A1 Filed: 2014-09-10 Issued: 2016-03-17 Customizable weather analysis system (Original Assignee) Accuweather, Inc. R. Lee RAINEY, Bill Vincent, Casey Mcgeever, Michelle L. MASSUNG, Gregg PAVLIK
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (second location) at a second time (visual indication, second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (detection unit) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2016039741A1 CLAIM 6 . The system of Claim 1 , wherein : the analysis unit is configured to determine the user-defined location based on a location of a mobile computer system ; the mobile computer system comprises a location detection unit (proximity time) configured to determine the location of the mobile computer system ; and the mobile computer system is configured to output the location of the mobile computer system to the analysis unit via a network . WO2016039741A1 CLAIM 17 . The system of Claim 12 , wherein the at least one user-specified location includes a first location (first location) and a second location (second location) ; the graphical user interface is further configured to receive , from the user , a selection of a first module and a second module from the plurality of modules ; and the analysis unit is configured to output the user-specified weather condition associated with the first location via the first module and the second user-specified weather condition associated with the user- specified location via the second module . WO2016039741A1 CLAIM 19 . The system of Claim 11 , wherein : the weather data comprises first weather data including the at least one user-specified weather condition associated with the user-specified location determined at a first time (first time) and second weather data including the at least one user-specified weather condition associated with the user-specified location determined at a second time (second time) , the second time following the first time ; and the analysis unit is further configured to : output the at least one user-specified weather condition associated with the user- specified location determined at the second time ; compare the at least one user-specified weather condition associated with the user-specified location determined at the second time with the at least one user-specified weather condition associated with the user-specified location determined at the first time ; determine if the comparison indicates an increase or a decrease in the at least one condition and , if so , determine if the increase or decrease in the at least one condition is greater than or equal to a pre-determined threshold ; and output a notification via the module if the comparison indicates an increase or a decrease in the at least one comparison greater than or equal to the pre-determined threshold . WO2016039741A1 CLAIM 23 . The system of Claim 22 , wherein the analysis unit is configured to output a map including visual indication (second time) s of the user-specified locations that satisfy the user-defined query to the user via the graphical user interface .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first location) is within a first contagious zone of a first signal tracking device .	WO2016039741A1 CLAIM 17 . The system of Claim 12 , wherein the at least one user-specified location includes a first location (first location) and a second location ; the graphical user interface is further configured to receive , from the user , a selection of a first module and a second module from the plurality of modules ; and the analysis unit is configured to output the user-specified weather condition associated with the first location via the first module and the second user-specified weather condition associated with the user- specified location via the second module .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (visual indication, second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	WO2016039741A1 CLAIM 19 . The system of Claim 11 , wherein : the weather data comprises first weather data including the at least one user-specified weather condition associated with the user-specified location determined at a first time (first time) and second weather data including the at least one user-specified weather condition associated with the user-specified location determined at a second time (second time) , the second time following the first time ; and the analysis unit is further configured to : output the at least one user-specified weather condition associated with the user- specified location determined at the second time ; compare the at least one user-specified weather condition associated with the user-specified location determined at the second time with the at least one user-specified weather condition associated with the user-specified location determined at the first time ; determine if the comparison indicates an increase or a decrease in the at least one condition and , if so , determine if the increase or decrease in the at least one condition is greater than or equal to a pre-determined threshold ; and output a notification via the module if the comparison indicates an increase or a decrease in the at least one comparison greater than or equal to the pre-determined threshold . WO2016039741A1 CLAIM 23 . The system of Claim 22 , wherein the analysis unit is configured to output a map including visual indication (second time) s of the user-specified locations that satisfy the user-defined query to the user via the graphical user interface .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first location) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2016039741A1 CLAIM 17 . The system of Claim 12 , wherein the at least one user-specified location includes a first location (first location) and a second location ; the graphical user interface is further configured to receive , from the user , a selection of a first module and a second module from the plurality of modules ; and the analysis unit is configured to output the user-specified weather condition associated with the first location via the first module and the second user-specified weather condition associated with the user- specified location via the second module .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (detection unit) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	WO2016039741A1 CLAIM 6 . The system of Claim 1 , wherein : the analysis unit is configured to determine the user-defined location based on a location of a mobile computer system ; the mobile computer system comprises a location detection unit (proximity time) configured to determine the location of the mobile computer system ; and the mobile computer system is configured to output the location of the mobile computer system to the analysis unit via a network .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (geographic area) relative to the second person .	WO2016039741A1 CLAIM 72 . The system of Claim 1 , wherein : the weather data comprises a weather-related warning indicative of a severe condition for a geographic area (third person) including the user-specified location ; the user-specified weather inquiry comprises an instruction to determine whether to output a null warning ; the analysis unit is further configured to determine , based on the weather data stored in the weather information database , whether the severe condition is unlikely to impact the user- specified location and output a null warning in response to a determination that the severe condition is unlikely to impact the user-specified location .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (linear path) of an MCD or a person having a positive proximity relationship based on historical travel data .	WO2016039741A1 CLAIM 5 . The system of Claim 1 , wherein the user- specified location is a portion of a road , a portion of a railway line , and/or a linear or non-linear path (travel route) between two or more of the geographic locations .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (linear path) of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2016039741A1 CLAIM 5 . The system of Claim 1 , wherein the user- specified location is a portion of a road , a portion of a railway line , and/or a linear or non-linear path (travel route) between two or more of the geographic locations .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (linear path) of a MCD or a person having a negative or positive proximity relationship in real time .	WO2016039741A1 CLAIM 5 . The system of Claim 1 , wherein the user- specified location is a portion of a road , a portion of a railway line , and/or a linear or non-linear path (travel route) between two or more of the geographic locations .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (second location) at a second time (visual indication, second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (detection unit) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2016039741A1 CLAIM 6 . The system of Claim 1 , wherein : the analysis unit is configured to determine the user-defined location based on a location of a mobile computer system ; the mobile computer system comprises a location detection unit (proximity time) configured to determine the location of the mobile computer system ; and the mobile computer system is configured to output the location of the mobile computer system to the analysis unit via a network . WO2016039741A1 CLAIM 17 . The system of Claim 12 , wherein the at least one user-specified location includes a first location (first location) and a second location (second location) ; the graphical user interface is further configured to receive , from the user , a selection of a first module and a second module from the plurality of modules ; and the analysis unit is configured to output the user-specified weather condition associated with the first location via the first module and the second user-specified weather condition associated with the user- specified location via the second module . WO2016039741A1 CLAIM 19 . The system of Claim 11 , wherein : the weather data comprises first weather data including the at least one user-specified weather condition associated with the user-specified location determined at a first time (first time) and second weather data including the at least one user-specified weather condition associated with the user-specified location determined at a second time (second time) , the second time following the first time ; and the analysis unit is further configured to : output the at least one user-specified weather condition associated with the user- specified location determined at the second time ; compare the at least one user-specified weather condition associated with the user-specified location determined at the second time with the at least one user-specified weather condition associated with the user-specified location determined at the first time ; determine if the comparison indicates an increase or a decrease in the at least one condition and , if so , determine if the increase or decrease in the at least one condition is greater than or equal to a pre-determined threshold ; and output a notification via the module if the comparison indicates an increase or a decrease in the at least one comparison greater than or equal to the pre-determined threshold . WO2016039741A1 CLAIM 23 . The system of Claim 22 , wherein the analysis unit is configured to output a map including visual indication (second time) s of the user-specified locations that satisfy the user-defined query to the user via the graphical user interface .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2014197623A1 Filed: 2014-06-04 Issued: 2014-12-11 Method, apparatus, and computer program product for monitoring health, fitness, operation, or performance of individuals (Original Assignee) Zih Corp. James J. O'hagan, Wolfgang Strobel, Michael A. Wohl
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (second sensor) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	WO2014197623A1 CLAIM 30 . A computer program product for monitoring an individual comprising at least one computer-readable storage medium having (medium timeframe) computer-executable program code instructions stored therein , the computer-executable program code instructions comprising program code instructions for : receiving tag derived data comprising tag location data and blink data , wherein the tag location data is generated based at least in part based on the blink data ; receiving sensor derived data indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; comparing the tag location data to individual dynamics/kinetics models ; comparing the sensor derived data to at least one of health models , fitness models , operation level models , or performance level models ; and determining a health , fitness , operation and performance (HFOP) status based on the comparing the tag location data to individual dynamics/kinetics models and on the comparing the sensor derived data to at least one of health models , fitness models , operation level models , or performance level models .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (second sensor) being positive .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (second sensor) is positive , performing the method with a third person relative to the second person .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (second sensor) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (second sensor) based on historical travel data .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold value) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2014197623A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (second sensor) in real time .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2014197623A1 CLAIM 12 . The method according to claim 1 , wherein the sensor derived data comprises associated sensor data generated by a sensor receiver upon receiving sensor information packets from first and second sensor (medium proximity, proximity relationship) s .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2014197618A2 Filed: 2014-06-04 Issued: 2014-12-11 Systems and methods for activity determination based on human frame (Original Assignee) Zih Corp. Jill STELFOX, Michael Wohl, James O'hagan, Cynthia TRAEGER
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (arrival time) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (arrival time) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (arrival time) of an MCD or a person having a positive proximity relationship based on historical travel data .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (arrival time) of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (receiving sensor data) or more of the following : providing travel instructions (arrival time) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals . WO2014197618A2 CLAIM 7 . The method of Claim 1 further comprising wirelessly receiving sensor data (performing one) from one or more sensors located on the individual and wherein determining the activity of the individual is based at least in part on the sensor data .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (arrival time) of a MCD or a person having a negative or positive proximity relationship in real time .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (arrival time) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2014197618A2 CLAIM 5 . The method of Claim 1 , wherein determining the tag location data for each of two or more RF location tags based on the tag signals includes determining an arrival time (second location, travel instructions, travel route, pushing travel instructions, providing travel instructions) at one or more receivers for each of the tag signals .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CA2972082A1 Filed: 2014-05-20 Issued: 2014-11-20 System for quickly finding the whereabouts of friends (Original Assignee) INITLIVE Inc (Current Assignee) INITLIVE Inc Deborah Pinard, Melissa PINARD, Liam WILLIAMS
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (said response) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data . CA2972082A1 CLAIM 24 . A system relating to user location comprising a plurality of software based modules in execution upon electronic devices comprising at least microprocessors , the plurality of modules comprising : a module for sending a request for a location of a user from a first electronic device to a notification server containing the requesting user information and receiving user information on a second electronic device ; a module on the second electronic device for receiving said request ; a module on the second electronic device for retrieving a device type of a third electronic device using the receiving user information and choosing an appropriate push notification service to use based on the device type of the third electronic device ; a module for sending the request for location to the selected push notification service ; a module for receiving said request for location on the third electronic device ; a module for displaying the request on the third electronic device along with requesting user information and with a corresponding action to be performed by the receiving user ; determining upon the action whether : a module for retrieving location data retrieves location data relating to the third electronic device ; a module for sending a response to the requesting user containing the location data and receiving user information sends the response to the second electronic device ; a module for receiving said response (proximity distance) on the second electronic device ; a module second electronic device for retrieving the device type of the first electronic device and choosing an appropriate push notification service to use based on the device type of the first electronic device ; a module on the second electronic device for sending the response to the selected push notification service ; a module on the first electronic device for receiving said response ; and a module for displaying the receiving user' ; s location data on the first electronic device , wherein the receiving user and requesting user have no association other than that they are both members of a group of users associated with an event whose contact data is stored within a database accessible by the second electronic device .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (positive determination) relative to the second person .	CA2972082A1 CLAIM 19 . A method relating to user location comprising : sending a request for a location of a receiving user from a first application in execution upon an electronic device associated with a requesting user to a user notification server containing the requesting user information and receiving user information ; retrieving at the user notification server a device type associated with the receiving user using the receiving user information and choosing an appropriate push notification service to use based on the device type ; sending the request for location to the selected push notification service ; receiving said request for location on the device associated of the receiving user ; displaying the request on the device associated with the receiving user along with data relating to the requesting user and a corresponding device action ; receiving from the receiving user a response to the device action ; determining in dependence of the user response to the device action whether to : retrieve location data from the device ; send a response to the requesting user containing the location data and receiving user information via the user notification server ; determining at the user notification server whether a response to the requesting user from the receiving user was received , wherein upon a positive determination (third person) the user notification server : retrieves the device type of the requesting user and chooses an appropriate push notification service to use based on the device type ; sends the receiving user response including location data to the selected push notification service ; receiving said receiving user response upon the electronic device associated with the requesting user ; displaying upon the electronic device associated with the requesting user receiving user location data , wherein the receiving user and requesting user have no association other than that they are both members of a group of users associated with an event whose contact data is stored within a database accessible by the user notification server .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CA2972082A1 CLAIM 8 . The method according to claim 1 , wherein the response from the user is generated and sent to the another user in dependence upon the selection of a single button within a notification received upon an electronic device associated with the user . 9 . The method according to claim 1 , wherein the request sent to the user by the push notification service includes a uniform resource location which when accessed runs executable software code upon an electronic device associated with the user to retrieve the location information (negative proximity) and send this to user .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (established time) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	CA2972082A1 CLAIM 2 . The method according to claim 2 , wherein determining in dependence upon at least the estimated travel time further comprises determining in dependence upon a current time determined when the established location is determined and a previously established time (providing travel data) for the user to be at the target location .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (said response) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CA2972082A1 CLAIM 11 . The method according to claim 1 , wherein the receiving user' ; s location data is displayed on a map in association with data relating to the event and data extracted from a service provider indicating at least an approximate travel time t (first data, first time, first signal) o the event from the location identified by the location data . CA2972082A1 CLAIM 24 . A system relating to user location comprising a plurality of software based modules in execution upon electronic devices comprising at least microprocessors , the plurality of modules comprising : a module for sending a request for a location of a user from a first electronic device to a notification server containing the requesting user information and receiving user information on a second electronic device ; a module on the second electronic device for receiving said request ; a module on the second electronic device for retrieving a device type of a third electronic device using the receiving user information and choosing an appropriate push notification service to use based on the device type of the third electronic device ; a module for sending the request for location to the selected push notification service ; a module for receiving said request for location on the third electronic device ; a module for displaying the request on the third electronic device along with requesting user information and with a corresponding action to be performed by the receiving user ; determining upon the action whether : a module for retrieving location data retrieves location data relating to the third electronic device ; a module for sending a response to the requesting user containing the location data and receiving user information sends the response to the second electronic device ; a module for receiving said response (proximity distance) on the second electronic device ; a module second electronic device for retrieving the device type of the first electronic device and choosing an appropriate push notification service to use based on the device type of the first electronic device ; a module on the second electronic device for sending the response to the selected push notification service ; a module on the first electronic device for receiving said response ; and a module for displaying the receiving user' ; s location data on the first electronic device , wherein the receiving user and requesting user have no association other than that they are both members of a group of users associated with an event whose contact data is stored within a database accessible by the second electronic device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150286461A1 Filed: 2014-04-03 Issued: 2015-10-08 Methods and Systems for Transmitting Playlists (Original Assignee) Sonos Inc (Current Assignee) Sonos Inc Mark Trammell
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (respective locations) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person (specific p) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20150286461A1 CLAIM 12 . The method of claim 11 , wherein causing the graphical display to display the data identifying the plurality of portions of media content played during the time period that includes the particular time comprises causing the graphical display to display a list of the plurality of portions of media content played during the time period that includes the particular time sorted by the respective locations (first location) where the plurality of portions of media content were played . US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (respective locations) is within a first contagious zone of a first signal tracking device .	US20150286461A1 CLAIM 12 . The method of claim 11 , wherein causing the graphical display to display the data identifying the plurality of portions of media content played during the time period that includes the particular time comprises causing the graphical display to display a list of the plurality of portions of media content played during the time period that includes the particular time sorted by the respective locations (first location) where the plurality of portions of media content were played .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (respective locations) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20150286461A1 CLAIM 12 . The method of claim 11 , wherein causing the graphical display to display the data identifying the plurality of portions of media content played during the time period that includes the particular time comprises causing the graphical display to display a list of the plurality of portions of media content played during the time period that includes the particular time sorted by the respective locations (first location) where the plurality of portions of media content were played .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (specific p) does not have the contagion prior to the proximity relationship being positive .	US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (specific p) .	US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (media streaming) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20150286461A1 CLAIM 16 . The method of claim 10 , the method further comprising causing the graphical display to display an indication of a portion of media content that is available for playback via a media streaming (first persons) service , wherein the portion of media content is available for playback upon subscribing to the media streaming service .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (media streaming) , or when the second person (specific p) becomes infected and then is a new first person in subsequent travel .	US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time . US20150286461A1 CLAIM 16 . The method of claim 10 , the method further comprising causing the graphical display to display an indication of a portion of media content that is available for playback via a media streaming (first persons) service , wherein the portion of media content is available for playback upon subscribing to the media streaming service .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (specific p) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (media streaming) to the new first person .	US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time . US20150286461A1 CLAIM 16 . The method of claim 10 , the method further comprising causing the graphical display to display an indication of a portion of media content that is available for playback via a media streaming (first persons) service , wherein the portion of media content is available for playback upon subscribing to the media streaming service .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (respective locations) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person (specific p) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20150286461A1 CLAIM 12 . The method of claim 11 , wherein causing the graphical display to display the data identifying the plurality of portions of media content played during the time period that includes the particular time comprises causing the graphical display to display a list of the plurality of portions of media content played during the time period that includes the particular time sorted by the respective locations (first location) where the plurality of portions of media content were played . US20150286461A1 CLAIM 13 . The method of claim 11 , the method further comprising : causing the graphical display to display an indication of a specific p (second person) ortion of media content of the plurality of portions of media content that was played at the location at the particular time .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9349286B2 Filed: 2014-03-17 Issued: 2016-05-24 Traffic analysis system using wireless networking devices (Original Assignee) Acyclica Inc (Current Assignee) Flir Commercial Systems Inc Daniel Benhammou
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (second data, said time) regarding a second person (second data, said time) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (short range, MAC address) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data (second data, said time) is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data and second data (second data, said time) are real time data or historical data .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (short range, MAC address) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range (medium proximity zone) wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (second data, said time) does not have the contagion prior to the proximity relationship (short range, MAC address) being positive .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (short range, MAC address) is positive , performing the method with a third person relative to the second person (second data, said time) .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (short range, MAC address) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (short range, MAC address) based on historical travel data (second data, said time) .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (short range, MAC address) based on historical travel data (second data, said time) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (short range, MAC address) in real time .	US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (data transmissions) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US9349286B2 CLAIM 2 . The method of claim 1 , wherein long range wireless signals comprise data transmissions (second persons) on the 2 . 5 GHz , 5 . 8 GHz , or 5 . 9 GHz spectrum .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (second data, said time) for a plurality of first persons , or when the second person (second data, said time) becomes infected and then is a new first person in subsequent travel .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (second data, said time) to safe location to the second person (second data, said time) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (second data, said time) regarding a second person (second data, said time) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (short range, MAC address) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9349286B2 CLAIM 1 . A method for use in monitoring traffic on a traffic network , said traffic network including a plurality of geographically distributed sensors , the method comprising : monitoring long range wireless signals associated with sources on said traffic network , said long range wireless signals including packetized data communications comprising a stream of data packets wherein an individual packet includes identification information for identifying at least one characteristic of a source of said individual packet ; operating a first sensor and second sensor of said geographically distributed sensors to provide , to a processor system , first and second sensor information , respectively , associated with a first source based on said monitored packetized data communications ; receiving said first sensor information and said second sensor information at said processor system ; processing at said processor system said first sensor information and said second sensor information to : parse said first and second sensor information to determine identification information of said first source ; select at least a first data packet of said first sensor information and a second data (second data, second person, travel data) packet of said second sensor information based at least in part on said identification information of said first and second data packets ; and generate first traffic information by comparing said first and second data packets . US9349286B2 CLAIM 5 . The method of claim 1 , wherein said first sensor information and said second sensor information include a MAC address (medium proximity, proximity relationship, proximity relationship database) of each of said identified packetized data communications associated with said first source . US9349286B2 CLAIM 8 . The method of claim 7 , wherein based on said determined identification information of said first source , said time (second data, second person, travel data) of identification of said first data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said first sensor and said time of identification of said second data packet is a first of a time of identification of said identified packetized data communications associated with said first source at said second sensor . US9349286B2 CLAIM 14 . The method of claim 1 , further comprising : transmitting said first traffic information over a dedicated short range (medium proximity, proximity relationship, proximity relationship database) communications network associated with said geographically distributed sensors .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN105518658A Filed: 2014-03-14 Issued: 2016-04-20 用于将数据记录分组的设备、系统以及方法 (Original Assignee) 美国结构数据有限公司 B·西马诺夫斯基, M·拉冈, L·保罗维兹
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (第二组) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN105518658A CLAIM 6 . 根据权利要求4所述的设备，其中所述相似性函数被设计成推断将数据记录的特定属性中的第一组件与第二组 (first data, receiving first data) 件互换的可能性，其中通过如下操作得知所述相似性函数 : 确定在与所述训练数据记录的所述特定属性相关联的组件之间的差异，其中已知所述训练数据记录属于同一集群，以及基于所述第一组件和所述第二组件同时在所述差异中出现的次数，确定将所述第一组件与所述第二组件互换的可能性。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (第二组) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	CN105518658A CLAIM 6 . 根据权利要求4所述的设备，其中所述相似性函数被设计成推断将数据记录的特定属性中的第一组件与第二组 (first data, receiving first data) 件互换的可能性，其中通过如下操作得知所述相似性函数 : 确定在与所述训练数据记录的所述特定属性相关联的组件之间的差异，其中已知所述训练数据记录属于同一集群，以及基于所述第一组件和所述第二组件同时在所述差异中出现的次数，确定将所述第一组件与所述第二组件互换的可能性。
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (第二组) and second data are real time data or historical data .	CN105518658A CLAIM 6 . 根据权利要求4所述的设备，其中所述相似性函数被设计成推断将数据记录的特定属性中的第一组件与第二组 (first data, receiving first data) 件互换的可能性，其中通过如下操作得知所述相似性函数 : 确定在与所述训练数据记录的所述特定属性相关联的组件之间的差异，其中已知所述训练数据记录属于同一集群，以及基于所述第一组件和所述第二组件同时在所述差异中出现的次数，确定将所述第一组件与所述第二组件互换的可能性。
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (属性的组合) .	CN105518658A CLAIM 7 . 根据权利要求4所述的设备，其中所述相似性函数被设计成确定数据记录的缺失属性具有特定组件的条件可能性，其中通过如下操作确定所述条件可能性 : 确定对应于特定实体的已知属性的组合 (travel data) ；确定缺失属性在具有所述已知属性的组合的特定实体的数据记录之间的所有变化；以及假定所述数据记录具有已知属性的特定组合，基于所述缺失属性的所述变化来确定所述缺失属性具有特定组件的条件概率。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data (属性的组合) , and performing one (种设备) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CN105518658A CLAIM 1 . 一种设备 (performing one) ，包括 : 处理器，其被配置成运行存储在存储器中的一个或多个模块，其中所述一个或多个模块被配置成 : 识别针对其确定相似性值的至少一对数据记录；至少部分地基于与所述至少一对数据记录相关联的多个属性，确定所述至少一对数据记录的所述相似性值；以及基于所述至少一对数据记录的所述相似性值，将所述至少一对数据记录与一个或多个集群相关联，每个所述集群均与唯一实体相关联。 CN105518658A CLAIM 7 . 根据权利要求4所述的设备，其中所述相似性函数被设计成确定数据记录的缺失属性具有特定组件的条件可能性，其中通过如下操作确定所述条件可能性 : 确定对应于特定实体的已知属性的组合 (travel data) ；确定缺失属性在具有所述已知属性的组合的特定实体的数据记录之间的所有变化；以及假定所述数据记录具有已知属性的特定组合，基于所述缺失属性的所述变化来确定所述缺失属性具有特定组件的条件概率。
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (属性的组合) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	CN105518658A CLAIM 7 . 根据权利要求4所述的设备，其中所述相似性函数被设计成确定数据记录的缺失属性具有特定组件的条件可能性，其中通过如下操作确定所述条件可能性 : 确定对应于特定实体的已知属性的组合 (travel data) ；确定缺失属性在具有所述已知属性的组合的特定实体的数据记录之间的所有变化；以及假定所述数据记录具有已知属性的特定组合，基于所述缺失属性的所述变化来确定所述缺失属性具有特定组件的条件概率。
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (属性的组合) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	CN105518658A CLAIM 7 . 根据权利要求4所述的设备，其中所述相似性函数被设计成确定数据记录的缺失属性具有特定组件的条件可能性，其中通过如下操作确定所述条件可能性 : 确定对应于特定实体的已知属性的组合 (travel data) ；确定缺失属性在具有所述已知属性的组合的特定实体的数据记录之间的所有变化；以及假定所述数据记录具有已知属性的特定组合，基于所述缺失属性的所述变化来确定所述缺失属性具有特定组件的条件概率。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (第二组) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN105518658A CLAIM 6 . 根据权利要求4所述的设备，其中所述相似性函数被设计成推断将数据记录的特定属性中的第一组件与第二组 (first data, receiving first data) 件互换的可能性，其中通过如下操作得知所述相似性函数 : 确定在与所述训练数据记录的所述特定属性相关联的组件之间的差异，其中已知所述训练数据记录属于同一集群，以及基于所述第一组件和所述第二组件同时在所述差异中出现的次数，确定将所述第一组件与所述第二组件互换的可能性。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN105556511A Filed: 2014-03-14 Issued: 2016-05-04 用于提供位置信息的装置、系统和方法 (Original Assignee) 美国结构数据有限公司 A·拉娜, B·西马诺夫斯基
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (第二组) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN105556511A CLAIM 31 . 根据权利要求30所述的装置，其中所述一个或多个模块被配置为将对应于较低精度子多边形的所述查询位置标识符的第一组位与所述索引系统相比较，然后比较对应于较高精度子多边形的所述查询位置标识符的第二组 (first data, receiving first data) 位。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (第二组) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	CN105556511A CLAIM 31 . 根据权利要求30所述的装置，其中所述一个或多个模块被配置为将对应于较低精度子多边形的所述查询位置标识符的第一组位与所述索引系统相比较，然后比较对应于较高精度子多边形的所述查询位置标识符的第二组 (first data, receiving first data) 位。
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (第二组) and second data are real time data or historical data .	CN105556511A CLAIM 31 . 根据权利要求30所述的装置，其中所述一个或多个模块被配置为将对应于较低精度子多边形的所述查询位置标识符的第一组位与所述索引系统相比较，然后比较对应于较高精度子多边形的所述查询位置标识符的第二组 (first data, receiving first data) 位。
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one (标识符与) or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CN105556511A CLAIM 28 . —种装置，包括 : 一个或多个接口，其被配置为经由通信网络提供与客户机设备的通信；存储设备，其被配置为维护与感兴趣区域内的子多边形对应的唯一标识符的分层索引系统；以及处理器，其与所述一个或多个接口通信并被配置为运行一个或多个模块，所述一个或多个模块被配置为 : 从所述客户机设备接收位置查询，其中所述位置查询包括与所述客户机设备关联的位置标识符；确定对应于所述位置标识符的查询标识符；比较所述查询标识符与 (application performs one) 所述索引系统，以便确定由所述客户机设备提供的所述位置标识符在所述感兴趣区域内；以及通过所述通信网络向所述客户机设备提供与所述感兴趣区域关联的服务。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (第二组) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN105556511A CLAIM 31 . 根据权利要求30所述的装置，其中所述一个或多个模块被配置为将对应于较低精度子多边形的所述查询位置标识符的第一组位与所述索引系统相比较，然后比较对应于较高精度子多边形的所述查询位置标识符的第二组 (first data, receiving first data) 位。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140365415A1 Filed: 2014-03-11 Issued: 2014-12-11 System and method for predicting a criteria of interest (Original Assignee) ZIH Corp (Current Assignee) ZIH Corp Jill Stelfox, Cynthia Traeger
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140365415A1 CLAIM 31 . A method comprising : receiving an input that defines one or more objects and one or more criteria of interest ; receiving tag location data or derived tag location data for the one or more objects measured during an event ; generating , using a processor , a prediction for a criteria of interest for at least one of the one or more criteria of interest for at least one of the one or more objects , wherein the prediction for a criteria of interest is generated based on at least one of tag location data or derived tag location data for the one or more objects related to the one or more criteria of interest ; and causing the predictive analytic data to at least one of be displayed on an interface or transmitted to a remote device (server computing system, receiving second data) .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (remote device) .	US20140365415A1 CLAIM 31 . A method comprising : receiving an input that defines one or more objects and one or more criteria of interest ; receiving tag location data or derived tag location data for the one or more objects measured during an event ; generating , using a processor , a prediction for a criteria of interest for at least one of the one or more criteria of interest for at least one of the one or more objects , wherein the prediction for a criteria of interest is generated based on at least one of tag location data or derived tag location data for the one or more objects related to the one or more criteria of interest ; and causing the predictive analytic data to at least one of be displayed on an interface or transmitted to a remote device (server computing system, receiving second data) .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20140365415A1 CLAIM 159 . A computer program product comprising : at least one computer readable non-transitory memory medium having (medium timeframe) program code instructions stored thereon , the program code instructions which when executed by an apparatus cause the apparatus at least to : receive an input that defines one or more objects and one or more criteria of interest ; receive tag location data or derived tag location data for the one or more objects measured during an event ; generate a prediction for a criteria of interest for at least one of the one or more criteria of interest for at least one of the one or more objects , wherein the prediction for a criteria of interest is generated based on at least one of tag location data or derived tag location data for the one or more objects related to the one or more criteria of interest ; and cause the predictive analytic data to at least one of be displayed on an interface or transmitted to a remote device .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (remote device) , which is stored as either positive or negative .	US20140365415A1 CLAIM 31 . A method comprising : receiving an input that defines one or more objects and one or more criteria of interest ; receiving tag location data or derived tag location data for the one or more objects measured during an event ; generating , using a processor , a prediction for a criteria of interest for at least one of the one or more criteria of interest for at least one of the one or more objects , wherein the prediction for a criteria of interest is generated based on at least one of tag location data or derived tag location data for the one or more objects related to the one or more criteria of interest ; and causing the predictive analytic data to at least one of be displayed on an interface or transmitted to a remote device (server computing system, receiving second data) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140365415A1 CLAIM 31 . A method comprising : receiving an input that defines one or more objects and one or more criteria of interest ; receiving tag location data or derived tag location data for the one or more objects measured during an event ; generating , using a processor , a prediction for a criteria of interest for at least one of the one or more criteria of interest for at least one of the one or more objects , wherein the prediction for a criteria of interest is generated based on at least one of tag location data or derived tag location data for the one or more objects related to the one or more criteria of interest ; and causing the predictive analytic data to at least one of be displayed on an interface or transmitted to a remote device (server computing system, receiving second data) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2014080072A1 Filed: 2013-10-30 Issued: 2014-05-30 Method and apparatus for conveying point of interest data with minimum data exchange (Original Assignee) Nokia Corporation Dhaval Joshi, Pankaj NATHANI
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (geographic area) relative to the second person .	WO2014080072A1 CLAIM 8 . A method of claim 6 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based , at least in part , on the following : at least one determination of the one or more codes based , at least in part , one or more geographic area (third person) s associated with the first location-based record , the second location-based record , or a combination thereof .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2014080072A1 CLAIM 10 . A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based , at least in part , on the following : at least one determination of the first location-based record , the second location-based record , or a combination thereof based , at least in part , on location information (negative proximity) associated with the at least one device .

WO2014080072A1

Filed: 2013-10-30 Issued: 2014-05-30

Method and apparatus for conveying point of interest data with minimum data exchange

(Original Assignee) Nokia Corporation

Dhaval Joshi, Pankaj NATHANI

US10198779B2
CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (geographic area) relative to the second person .

WO2014080072A1
CLAIM 8 . A method of claim 6 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based , at least in part , on the following : at least one determination of the one or more codes based , at least in part , one or more geographic area (third person) s associated with the first location-based record , the second location-based record , or a combination thereof .

WO2014080072A1
CLAIM 10 . A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based , at least in part , on the following : at least one determination of the first location-based record , the second location-based record , or a combination thereof based , at least in part , on location information (negative proximity) associated with the at least one device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140364973A1 Filed: 2013-07-15 Issued: 2014-12-11 Method, apparatus, and computer program product for monitoring health, fitness, operation, or performance of individuals (Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp James J. O'Hagan, Wolfgang Strobel, Michael A. Wohl
US10198779B2 CLAIM 1 . A method of determining proximity relationships (threshold distance, threshold value) , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (threshold distance, threshold value) period (threshold distance, threshold value) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (threshold distance, threshold value) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location . US20140364973A1 CLAIM 146 . The method according to claim 145 , wherein the tag derived data comprises first blink data received from a first location (first location) tag associated with a first individual and second blink data received from a second location (second location) tag associated with a second individual , and wherein the adversarial data is based at least partially on comparing the first blink data to the second blink data .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first location) is within a first contagious zone of a first signal tracking device .	US20140364973A1 CLAIM 146 . The method according to claim 145 , wherein the tag derived data comprises first blink data received from a first location (first location) tag associated with a first individual and second blink data received from a second location tag associated with a second individual , and wherein the adversarial data is based at least partially on comparing the first blink data to the second blink data .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first location) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20140364973A1 CLAIM 146 . The method according to claim 145 , wherein the tag derived data comprises first blink data received from a first location (first location) tag associated with a first individual and second blink data received from a second location tag associated with a second individual , and wherein the adversarial data is based at least partially on comparing the first blink data to the second blink data .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (threshold distance, threshold value) period (threshold distance, threshold value) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 30 . A computer program product for monitoring an individual comprising at least one computer-readable storage medium having (medium timeframe) computer-executable program code instructions stored therein , the computer-executable program code instructions comprising program code instructions for : receiving tag derived data comprising tag location data and blink data , wherein the tag location data is generated based at least in part based on the blink data ; receiving sensor derived data indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; comparing the tag location data to individual dynamics/kinetics models ; comparing the sensor derived data to at least one of health models , fitness models , operation level models , or performance level models ; and determining a health , fitness , operation and performance (HFOP) status based on the comparing the tag location data to individual dynamics/kinetics models and on the comparing the sensor derived data to at least one of health models , fitness models , operation level models , or performance level models . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (threshold distance, threshold value) being positive .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (threshold distance, threshold value) is positive , performing the method with a third person relative to the second person .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (threshold distance, threshold value) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (threshold distance, threshold value) based on historical travel data .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold distance, threshold value) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (threshold distance, threshold value) in real time .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (threshold distance, threshold value) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (threshold distance, threshold value) , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (threshold distance, threshold value) period (threshold distance, threshold value) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (threshold distance, threshold value) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140364973A1 CLAIM 2 . The method according to claim 1 further comprising : determining whether the HFOP status satisfies a threshold value (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) and generating , in an instance in which the HFOP status does satisfy the threshold value , an alert . US20140364973A1 CLAIM 95 . A method for associating an environmental measurement with an individual , the method comprising : associating an individual location with the individual ; receiving , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associating a sensor location with the sensor ; and determining a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location . US20140364973A1 CLAIM 146 . The method according to claim 145 , wherein the tag derived data comprises first blink data received from a first location (first location) tag associated with a first individual and second blink data received from a second location (second location) tag associated with a second individual , and wherein the adversarial data is based at least partially on comparing the first blink data to the second blink data .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140364975A1 Filed: 2013-07-15 Issued: 2014-12-11 Method, apparatus, and computer program product for combined tag and sensor based performance modeling using real-time data for proximity and movement of objects (Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp Michael A. Wohl, James J. O'Hagan
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140364975A1 CLAIM 4 . The method of claim 1 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time (first time) period , and assigning a third weight to the tag location data at a second time (second time) period and a fourth weight to the sensor derived data at the second time period . US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20140364975A1 CLAIM 4 . The method of claim 1 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time (first time) period , and assigning a third weight to the tag location data at a second time (second time) period and a fourth weight to the sensor derived data at the second time period .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (second sensor) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (second sensor) being positive .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (second sensor) is positive , performing the method with a third person relative to the second person .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (second sensor) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (second sensor) based on historical travel data .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (second sensor) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (second sensor) in real time .	US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140364975A1 CLAIM 4 . The method of claim 1 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time (first time) period , and assigning a third weight to the tag location data at a second time (second time) period and a fourth weight to the sensor derived data at the second time period . US20140364975A1 CLAIM 41 . The computer program product of claim 37 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component , wherein the sensor derived data comprises a first sensor derived data component and a second sensor (medium proximity, proximity relationship) derived data component , wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component , a second weight to the second tag derived data component , a third weight to the first sensor derived data component , and a fourth weight to the second sensor derived data component .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140362892A1 Filed: 2013-07-15 Issued: 2014-12-11 Multiple antenna interference rejection in ultra-wideband real time locating systems (Original Assignee) ZIH Corp (Current Assignee) Zebra Technologies Corp Edward A. Richley
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (first signal) tracking device .	US20140362892A1 CLAIM 1 . An ultra-wideband (UWB) receiver comprising : a first antenna configured to receive a first signal (first signal) , the first signal comprising a UWB signal and a first component of an interference signal ; a second antenna configured to receive a second signal , the second signal comprising at least a second component of the interference signal ; and a combiner configured to : receive the first signal from the first antenna ; receive the second signal from the second antenna ; and combine the first signal and the second signal to generate an output signal providing cancellation of at least part of the first component of the inference signal based at least in part on the second component of the interference signal .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (first signal) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20140362892A1 CLAIM 1 . An ultra-wideband (UWB) receiver comprising : a first antenna configured to receive a first signal (first signal) , the first signal comprising a UWB signal and a first component of an interference signal ; a second antenna configured to receive a second signal , the second signal comprising at least a second component of the interference signal ; and a combiner configured to : receive the first signal from the first antenna ; receive the second signal from the second antenna ; and combine the first signal and the second signal to generate an output signal providing cancellation of at least part of the first component of the inference signal based at least in part on the second component of the interference signal .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (notch filter) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20140362892A1 CLAIM 8 . The method of claim 7 wherein adjusting filtering of the composite signal comprises attenuating the component of the composite signal using a tunable notch filter (travel instructions, travel data, providing travel instructions, providing travel data) , a width of the tunable notch filter corresponding to the widest bandwidth allowed for commercial services in the 5 . 925-7 . 25 GHz range .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (notch filter) .	US20140362892A1 CLAIM 8 . The method of claim 7 wherein adjusting filtering of the composite signal comprises attenuating the component of the composite signal using a tunable notch filter (travel instructions, travel data, providing travel instructions, providing travel data) , a width of the tunable notch filter corresponding to the widest bandwidth allowed for commercial services in the 5 . 925-7 . 25 GHz range .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold value) relationship based on historical travel data (notch filter) , and performing one or more of the following : providing travel instructions (notch filter) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20140362892A1 CLAIM 6 . The UWB receiver of claim 1 further comprising : a superheterodyne receiver , the superheterodyne receiver comprising a narrowband bandpass filter and a detector , the superheterodyne is configured to detect whether at least the second component of the interference signal exceeds the threshold value (negative proximity) . US20140362892A1 CLAIM 8 . The method of claim 7 wherein adjusting filtering of the composite signal comprises attenuating the component of the composite signal using a tunable notch filter (travel instructions, travel data, providing travel instructions, providing travel data) , a width of the tunable notch filter corresponding to the widest bandwidth allowed for commercial services in the 5 . 925-7 . 25 GHz range .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (notch filter) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20140362892A1 CLAIM 8 . The method of claim 7 wherein adjusting filtering of the composite signal comprises attenuating the component of the composite signal using a tunable notch filter (travel instructions, travel data, providing travel instructions, providing travel data) , a width of the tunable notch filter corresponding to the widest bandwidth allowed for commercial services in the 5 . 925-7 . 25 GHz range .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (notch filter) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20140362892A1 CLAIM 8 . The method of claim 7 wherein adjusting filtering of the composite signal comprises attenuating the component of the composite signal using a tunable notch filter (travel instructions, travel data, providing travel instructions, providing travel data) , a width of the tunable notch filter corresponding to the widest bandwidth allowed for commercial services in the 5 . 925-7 . 25 GHz range .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140365640A1 Filed: 2013-07-15 Issued: 2014-12-11 Method, apparatus, and computer program product for performance analytics determining location based on real-time data for proximity and movement of objects (Original Assignee) ZIH Corp (Current Assignee) ZIH Corp Michael A. Wohl, James J. O'Hagan
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140365640A1 CLAIM 4 . The method of claim 3 wherein the determining participant location data comprises assigning the first weight to the first tag derived data component and the second weight to the second tag derived data component at a first time (first time) period , and further comprises assigning a third weight to the first tag derived data component and assigning a fourth weight to the second tag derived data component at a second time (second time) period .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20140365640A1 CLAIM 4 . The method of claim 3 wherein the determining participant location data comprises assigning the first weight to the first tag derived data component and the second weight to the second tag derived data component at a first time (first time) period , and further comprises assigning a third weight to the first tag derived data component and assigning a fourth weight to the second tag derived data component at a second time (second time) period .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140365640A1 CLAIM 4 . The method of claim 3 wherein the determining participant location data comprises assigning the first weight to the first tag derived data component and the second weight to the second tag derived data component at a first time (first time) period , and further comprises assigning a third weight to the first tag derived data component and assigning a fourth weight to the second tag derived data component at a second time (second time) period .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140361875A1 Filed: 2013-07-15 Issued: 2014-12-11 Method, apparatus, and computer program product for tag and individual correlation (Original Assignee) ZIH Corp (Current Assignee) ZIH Corp James J. O'Hagan, Michael A. Wohl
US10198779B2 CLAIM 1 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (threshold distance) period (threshold distance) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20140361875A1 CLAIM 18 . A computer program product for monitoring an individual associated with a radio frequency (RF) location tag , comprising at least one computer-readable storage medium having (medium timeframe) computer-executable program code instructions stored therein , the computer-executable program code instructions comprising program code instructions for : receiving tag derived data comprising tag location data and blink data , wherein the tag location data is determined based at least in part on the blink data ; receiving sensor derived data indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; receiving a tag-individual correlator associated with the individual ; receiving a tag-sensor correlator associated with the RF location tag ; and matching the tag-sensor correlator with the tag-individual correlator to associate the sensor-derived data with the individual . US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (threshold distance) being positive .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (threshold distance) is positive , performing the method with a third person relative to the second person .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (threshold distance) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (threshold distance) based on historical travel data .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold distance) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (threshold distance) in real time .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (threshold distance) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140361875A1 CLAIM 38 . An apparatus for associating an environmental measurement with an individual , the apparatus comprising a processor and a memory having computer code stored therein , the computer code configured , when executed by the processor , to cause the apparatus to : associate an individual location with the individual ; receive , from a sensor , a sensor signal comprising one or more environmental measurements indicative of at least one of a health , a fitness , an operation level , or a performance level for the individual ; associate a sensor location with the sensor ; and determine a sensor-individual correlator based on the individual location being within a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) of the sensor location .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104380293A Filed: 2013-06-21 Issued: 2015-02-25 基于位置从地图历史提供关于相关元素的信息 (Original Assignee) 谷歌公司帕布洛·贝利韦尔, 基尔·班克斯·米耶尔勒, 图沙尔·乌德施, 詹姆士·A·古根莫斯
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (相关联的移动) at a first time (相关联的移动) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (间段期间, 时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104380293A CLAIM 1 . 一种用于使用计算机处理器来产生场境相关的元素的列表的方法，所述方法包括 : 接收指示用户的当前位置的信息，并且在存储器中存储所述信息；获取与所述用户相关联的地图搜索历史，所述地图搜索历史包括与在历史时间段期间 (proximity time period) 由所述用户执行的基于地图的查询对应的多个元素；使用耦接到所述存储器的处理器来确定所述多个元素的每一个是否与所述用户的当前位置相关，并且向相关元素的列表添加被确定为相关的元素；以及在所述存储器中存储所述相关元素的列表。 CN104380293A CLAIM 9 . 根据权利要求1所述的方法，进一步包括向与所述用户相关联的移动 (first location, first time) 装置输出所述相关元素的列表。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (相关联的移动) is within a first contagious zone of a first signal tracking device .	CN104380293A CLAIM 9 . 根据权利要求1所述的方法，进一步包括向与所述用户相关联的移动 (first location, first time) 装置输出所述相关元素的列表。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (相关联的移动) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN104380293A CLAIM 9 . 根据权利要求1所述的方法，进一步包括向与所述用户相关联的移动 (first location, first time) 装置输出所述相关元素的列表。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (相关联的移动) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN104380293A CLAIM 9 . 根据权利要求1所述的方法，进一步包括向与所述用户相关联的移动 (first location, first time) 装置输出所述相关元素的列表。
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (间段期间, 时间段) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CN104380293A CLAIM 1 . 一种用于使用计算机处理器来产生场境相关的元素的列表的方法，所述方法包括 : 接收指示用户的当前位置的信息，并且在存储器中存储所述信息；获取与所述用户相关联的地图搜索历史，所述地图搜索历史包括与在历史时间段期间 (proximity time period) 由所述用户执行的基于地图的查询对应的多个元素；使用耦接到所述存储器的处理器来确定所述多个元素的每一个是否与所述用户的当前位置相关，并且向相关元素的列表添加被确定为相关的元素；以及在所述存储器中存储所述相关元素的列表。
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (执行的指令) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CN104380293A CLAIM 11 . 一种用于提供场境相关的兀素的列表的系统，包括 : 处理器和存储器，所述存储器具有存储于其上的、用于由所述处理器执行的指令 (travel instructions, pushing travel instructions) ，所述指令包括 : 位置接收模块，所述位置接收模块接收指示用户的当前位置的信息；数据库接口模块，所述数据库接口模块获取与所述用户相关联的地图搜索历史，所述地图搜索历史包括与在历史时间段期间由所述用户执行的基于地图的查询对应的多个元素；以及地图历史处理模块，所述地图历史处理模块处理所述地图搜索历史以确定所述多个元素的每一个是否与所述用户的当前位置相关，并且向相关元素的列表添加被确定为相关的元素。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (执行的指令) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CN104380293A CLAIM 11 . 一种用于提供场境相关的兀素的列表的系统，包括 : 处理器和存储器，所述存储器具有存储于其上的、用于由所述处理器执行的指令 (travel instructions, pushing travel instructions) ，所述指令包括 : 位置接收模块，所述位置接收模块接收指示用户的当前位置的信息；数据库接口模块，所述数据库接口模块获取与所述用户相关联的地图搜索历史，所述地图搜索历史包括与在历史时间段期间由所述用户执行的基于地图的查询对应的多个元素；以及地图历史处理模块，所述地图历史处理模块处理所述地图搜索历史以确定所述多个元素的每一个是否与所述用户的当前位置相关，并且向相关元素的列表添加被确定为相关的元素。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (相关联的移动) at a first time (相关联的移动) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (间段期间, 时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104380293A CLAIM 1 . 一种用于使用计算机处理器来产生场境相关的元素的列表的方法，所述方法包括 : 接收指示用户的当前位置的信息，并且在存储器中存储所述信息；获取与所述用户相关联的地图搜索历史，所述地图搜索历史包括与在历史时间段期间 (proximity time period) 由所述用户执行的基于地图的查询对应的多个元素；使用耦接到所述存储器的处理器来确定所述多个元素的每一个是否与所述用户的当前位置相关，并且向相关元素的列表添加被确定为相关的元素；以及在所述存储器中存储所述相关元素的列表。 CN104380293A CLAIM 9 . 根据权利要求1所述的方法，进一步包括向与所述用户相关联的移动 (first location, first time) 装置输出所述相关元素的列表。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140012806A1 Filed: 2013-06-21 Issued: 2014-01-09 Location graph based derivation of attributes (Original Assignee) JiWire Inc (Current Assignee) NINTHDECIMAL Inc Kevin Ching, Grigory Sokol, Ahmad Fairiz Azizi, Luke Gain, Yury Zhyshko, Mark Dixon, Robert Abusaidi, Kevin McKenzie, John Raymond Klein, Leonid Blyukher, Jeff Pittelkau, David Staas
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (more locations) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140012806A1 CLAIM 14 . The method of claim 1 , wherein the location data includes a set of two or more locations (first location) and determining the user attribute data associated with the location data includes determining that the location data matches a location pattern with which the user attribute data is associated .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (more locations) is within a first contagious zone of a first signal (computer instructions) tracking device .	US20140012806A1 CLAIM 14 . The method of claim 1 , wherein the location data includes a set of two or more locations (first location) and determining the user attribute data associated with the location data includes determining that the location data matches a location pattern with which the user attribute data is associated . US20140012806A1 CLAIM 21 . A computer program product embodied in a tangible , non-transitory computer readable storage medium and comprising computer instructions (first signal) for : receiving a location data associated with a user ; determining a user attribute data associated with the location data ; and updating , based at least in part on the user attribute data , a user profile associated with the user
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (more locations) is one or more of : within a strong proximity zone of a first signal (computer instructions) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20140012806A1 CLAIM 14 . The method of claim 1 , wherein the location data includes a set of two or more locations (first location) and determining the user attribute data associated with the location data includes determining that the location data matches a location pattern with which the user attribute data is associated . US20140012806A1 CLAIM 21 . A computer program product embodied in a tangible , non-transitory computer readable storage medium and comprising computer instructions (first signal) for : receiving a location data associated with a user ; determining a user attribute data associated with the location data ; and updating , based at least in part on the user attribute data , a user profile associated with the user
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (more locations) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140012806A1 CLAIM 14 . The method of claim 1 , wherein the location data includes a set of two or more locations (first location) and determining the user attribute data associated with the location data includes determining that the location data matches a location pattern with which the user attribute data is associated .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20140012498A1 Filed: 2013-03-19 Issued: 2014-01-09 Informed Traveler Program and Application (Original Assignee) Thomas F. Gustafson; Naphtali Rishe; Ramon Trias; Kenneth Stapleton Thomas F. Gustafson, Naphtali Rishe, Ramon Trias, Kenneth Stapleton
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (TV camera) period (TV camera) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler . US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler . US20140012498A1 CLAIM 7 . The method as recited in claim 1 , in which said predictive models incorporate safety considerations thereinto regarding security of public versus private transportation at given times (proximity distance) of the day and in or through particular neighborhoods .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (spatial analysis) (MCD) obtained by a signal tracking device (TV camera) that has been provided to a server computing system .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis (mobile computing device) of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler . US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (TV camera) .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler . US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (TV camera) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler . US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (TV camera) period (TV camera) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (based constraint) on a server computing system , which is stored as either positive or negative .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time travel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraint (proximity relationship database) s to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (personal information) relative to one or more first persons (selected time) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20140012498A1 CLAIM 16 . The method as recited in claim 12 , further comprising : within a parking garage at the pre-determined destination , enabling a traveler thereto to reserve a parking space , or a space within a dedicated parking zone , for a selected time (first persons) frame upon a particular day of travel . US20140012498A1 CLAIM 18 . The method as recited in claim 12 , further comprising : considering of a personal information (second persons) medical condition of an informed traveler in formulation of predictive information provided to the traveler and transportation choices offered the informed traveler .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (selected time) , or when the second person becomes infected and then is a new first person in subsequent travel .	US20140012498A1 CLAIM 16 . The method as recited in claim 12 , further comprising : within a parking garage at the pre-determined destination , enabling a traveler thereto to reserve a parking space , or a space within a dedicated parking zone , for a selected time (first persons) frame upon a particular day of travel .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (selected time) to the new first person .	US20140012498A1 CLAIM 16 . The method as recited in claim 12 , further comprising : within a parking garage at the pre-determined destination , enabling a traveler thereto to reserve a parking space , or a space within a dedicated parking zone , for a selected time (first persons) frame upon a particular day of travel .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (TV camera) period (TV camera) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20140012498A1 CLAIM 1 . A method of informed , multi-modal travel from one or more potential routes to a defined destination , the method comprising the steps of : (a) using real-time t (first data, first time, first signal) ravel-related data relative to one or more inputs of present traffic flow , emergency events , special community events , weather , historic traffic-affecting trends , and parking conditions at an Informed traveler' ; s destination ; (b) providing at least one output of said using Step (a) to a historical database ; (c) generating a spatial analysis of real-time traffic flow and other transit data ; (d) applying predictive and analytic models having rule-based constraints to selective outputs of said Step (a) and said Step (c) ; (e) confirming authorized users of the present method by identity confirmation and management thereof ; and (f) providing user and management wireless access portals to the informed traveler . US20140012498A1 CLAIM 2 . The method as recited in claim 1 , in which using said traffic conditions of said Step (a) and spatial analysis of said Step (c) include use of CATV camera (proximity time period, proximity time, signal tracking device) s positioned upon roads , railroads and interactions , police and transportation departments advisories to the public regarding traffic conditions along the respective routes of the informed traveler . US20140012498A1 CLAIM 7 . The method as recited in claim 1 , in which said predictive models incorporate safety considerations thereinto regarding security of public versus private transportation at given times (proximity distance) of the day and in or through particular neighborhoods .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130318027A1 Filed: 2012-11-19 Issued: 2013-11-28 System and method to enable detection of viral infection by users of electronic communication devices (Original Assignee) FLURENSICS Inc (Current Assignee) Edas Healthcare Ltd Gal Almogy, Gilad Almogy
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (first person) at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20130318027A1 CLAIM 1 . A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations : determining , by the computerized system , that a first person (first person) is infected by a first infectious disease ; wherein the determination is associated with a first person infection probability attribute ; detecting , by the computerized system , based upon location information collected during at least a portion of a first infectious disease manifestation period , the location information being indicative of locations of the first person and other persons , a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease ; calculating , by the computerized system , a second person infection probability attribute ; and updating , by the computerized system , the first person infection probability attribute in response to the second person infection probability attribute .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (first threshold) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20130318027A1 CLAIM 10 . The non-transitory computer readable medium according to claim 9 that stores instructions for generating a person infection alert if a probability of infection of the person by an infectious disease exceeds a first threshold (negative proximity) ; and for transmitting the person infection alert to at least the person .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (second persons) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20130318027A1 CLAIM 7 . The non-transitory computer readable medium according to claim 1 , wherein the determining and the calculating are responsive to demographic information relating to the first and second persons (second persons) and to a demographic element of the signature of the first infectious disease .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person (first person) in subsequent travel .	US20130318027A1 CLAIM 1 . A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations : determining , by the computerized system , that a first person (first person) is infected by a first infectious disease ; wherein the determination is associated with a first person infection probability attribute ; detecting , by the computerized system , based upon location information collected during at least a portion of a first infectious disease manifestation period , the location information being indicative of locations of the first person and other persons , a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease ; calculating , by the computerized system , a second person infection probability attribute ; and updating , by the computerized system , the first person infection probability attribute in response to the second person infection probability attribute .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (first person) ; and providing travel data to a place for contaminated first persons to the new first person .	US20130318027A1 CLAIM 1 . A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations : determining , by the computerized system , that a first person (first person) is infected by a first infectious disease ; wherein the determination is associated with a first person infection probability attribute ; detecting , by the computerized system , based upon location information collected during at least a portion of a first infectious disease manifestation period , the location information being indicative of locations of the first person and other persons , a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease ; calculating , by the computerized system , a second person infection probability attribute ; and updating , by the computerized system , the first person infection probability attribute in response to the second person infection probability attribute .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (first person) at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20130318027A1 CLAIM 1 . A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations : determining , by the computerized system , that a first person (first person) is infected by a first infectious disease ; wherein the determination is associated with a first person infection probability attribute ; detecting , by the computerized system , based upon location information collected during at least a portion of a first infectious disease manifestation period , the location information being indicative of locations of the first person and other persons , a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease ; calculating , by the computerized system , a second person infection probability attribute ; and updating , by the computerized system , the first person infection probability attribute in response to the second person infection probability attribute .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104823465A Filed: 2012-09-21 Issued: 2015-08-05 自动检测设备类型以过滤数据 (Original Assignee) 瑞典爱立信有限公司理查德·卡尔森, 托马斯·歌德贝克-罗威, 赵思焰
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (包括接收) regarding a first person at a first location (数据库确定, 确定其) at a first time (时间戳) , wherein the first person has a contagion ; receiving second data (中多个) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104823465A CLAIM 1 . 一种用于过滤来自无线网络中多个 (receiving second data) 设备的位置数据以用于设备组的移动分析的方法，所述方法包括以下步骤 : 从设备接收位置数据，来自每一个设备的位置数据包括唯一标识符；基于唯一标识符，确定属于所述设备组的设备；以及向分析模块转发被确定为属于所述设备组的设备的位置数据以用于移动分析。 CN104823465A CLAIM 10 . 根据权利要求9所述的方法，其中，分析所接收的位置数据的步骤包括 : 分析每一个设备的设备速度，以确定其 (first location) 是否与所述设备组的设备速度关联。 CN104823465A CLAIM 13 . 根据权利要求3至12中任一项所述的方法，其中，与不属于所述设备组的设备关联的每一个设备记录包括时间戳 (first time) ，所述时间戳指示所述设备记录指示关联设备不属于所述设备组的时间，其中，维护设备数据库的步骤还包括 : 在经过预定时间段 (proximity time period) 后更新每一个设备记录，以指示关联设备属于所述设备组。 CN104823465A CLAIM 27 . 根据权利要求26所述的方法，还包括以下步骤 : 维护包括多个设备记录的设备数据库，其中每一个设备记录指示与设备记录关联的设备是否属于所述设备组；以及维护包括多个设备位置记录的位置数据库，其中每一个设备位置记录包括被确定为属于所述设备组的设备以用于移动分析的位置数据；其中 : 确定步骤还包括 : 基于设备标识符，从设备数据库确定 (first location) 属于所述设备组的设备；以及执行移动分析的步骤还包括 : 基于存储在位置数据库中的位置数据，执行移动分析。 CN104823465A CLAIM 29 . —种用于过滤无线网络中多个设备的位置数据以用于设备组的移动分析的装置，所述装置包括接收 (receiving first data) 器、发送器、处理器和存储器，处理器与接收器、发送器和存储器相连，其中 : 接收器被配置为 : 接收一个或多个设备的位置数据，其中每一个设备的位置数据包括唯一标识符；处理器还被配置为 : 基于唯一标识符，确定属于所述设备组的设备；以及发送器被配置为 : 向用于执行移动分析的分析装置(309a ; 610)转发被确定为属于所述设备组的设备的位置数据。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (数据库确定, 确定其) is within a first contagious zone of a first signal tracking device .	CN104823465A CLAIM 10 . 根据权利要求9所述的方法，其中，分析所接收的位置数据的步骤包括 : 分析每一个设备的设备速度，以确定其 (first location) 是否与所述设备组的设备速度关联。 CN104823465A CLAIM 27 . 根据权利要求26所述的方法，还包括以下步骤 : 维护包括多个设备记录的设备数据库，其中每一个设备记录指示与设备记录关联的设备是否属于所述设备组；以及维护包括多个设备位置记录的位置数据库，其中每一个设备位置记录包括被确定为属于所述设备组的设备以用于移动分析的位置数据；其中 : 确定步骤还包括 : 基于设备标识符，从设备数据库确定 (first location) 属于所述设备组的设备；以及执行移动分析的步骤还包括 : 基于存储在位置数据库中的位置数据，执行移动分析。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (时间戳) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN104823465A CLAIM 13 . 根据权利要求3至12中任一项所述的方法，其中，与不属于所述设备组的设备关联的每一个设备记录包括时间戳 (first time) ，所述时间戳指示所述设备记录指示关联设备不属于所述设备组的时间，其中，维护设备数据库的步骤还包括 : 在经过预定时间段后更新每一个设备记录，以指示关联设备属于所述设备组。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (数据库确定, 确定其) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN104823465A CLAIM 10 . 根据权利要求9所述的方法，其中，分析所接收的位置数据的步骤包括 : 分析每一个设备的设备速度，以确定其 (first location) 是否与所述设备组的设备速度关联。 CN104823465A CLAIM 27 . 根据权利要求26所述的方法，还包括以下步骤 : 维护包括多个设备记录的设备数据库，其中每一个设备记录指示与设备记录关联的设备是否属于所述设备组；以及维护包括多个设备位置记录的位置数据库，其中每一个设备位置记录包括被确定为属于所述设备组的设备以用于移动分析的位置数据；其中 : 确定步骤还包括 : 基于设备标识符，从设备数据库确定 (first location) 属于所述设备组的设备；以及执行移动分析的步骤还包括 : 基于存储在位置数据库中的位置数据，执行移动分析。
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (时间段) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CN104823465A CLAIM 13 . 根据权利要求3至12中任一项所述的方法，其中，与不属于所述设备组的设备关联的每一个设备记录包括时间戳，所述时间戳指示所述设备记录指示关联设备不属于所述设备组的时间，其中，维护设备数据库的步骤还包括 : 在经过预定时间段 (proximity time period) 后更新每一个设备记录，以指示关联设备属于所述设备组。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights (网络中) on the predicted travel route .	CN104823465A CLAIM 1 . 一种用于过滤来自无线网络中 (traffic lights) 多个设备的位置数据以用于设备组的移动分析的方法，所述方法包括以下步骤 : 从设备接收位置数据，来自每一个设备的位置数据包括唯一标识符；基于唯一标识符，确定属于所述设备组的设备；以及向分析模块转发被确定为属于所述设备组的设备的位置数据以用于移动分析。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (包括接收) regarding a first person at a first location (数据库确定, 确定其) at a first time (时间戳) , wherein the first person is at a first event ; receiving second data (中多个) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104823465A CLAIM 1 . 一种用于过滤来自无线网络中多个 (receiving second data) 设备的位置数据以用于设备组的移动分析的方法，所述方法包括以下步骤 : 从设备接收位置数据，来自每一个设备的位置数据包括唯一标识符；基于唯一标识符，确定属于所述设备组的设备；以及向分析模块转发被确定为属于所述设备组的设备的位置数据以用于移动分析。 CN104823465A CLAIM 10 . 根据权利要求9所述的方法，其中，分析所接收的位置数据的步骤包括 : 分析每一个设备的设备速度，以确定其 (first location) 是否与所述设备组的设备速度关联。 CN104823465A CLAIM 13 . 根据权利要求3至12中任一项所述的方法，其中，与不属于所述设备组的设备关联的每一个设备记录包括时间戳 (first time) ，所述时间戳指示所述设备记录指示关联设备不属于所述设备组的时间，其中，维护设备数据库的步骤还包括 : 在经过预定时间段 (proximity time period) 后更新每一个设备记录，以指示关联设备属于所述设备组。 CN104823465A CLAIM 27 . 根据权利要求26所述的方法，还包括以下步骤 : 维护包括多个设备记录的设备数据库，其中每一个设备记录指示与设备记录关联的设备是否属于所述设备组；以及维护包括多个设备位置记录的位置数据库，其中每一个设备位置记录包括被确定为属于所述设备组的设备以用于移动分析的位置数据；其中 : 确定步骤还包括 : 基于设备标识符，从设备数据库确定 (first location) 属于所述设备组的设备；以及执行移动分析的步骤还包括 : 基于存储在位置数据库中的位置数据，执行移动分析。 CN104823465A CLAIM 29 . —种用于过滤无线网络中多个设备的位置数据以用于设备组的移动分析的装置，所述装置包括接收 (receiving first data) 器、发送器、处理器和存储器，处理器与接收器、发送器和存储器相连，其中 : 接收器被配置为 : 接收一个或多个设备的位置数据，其中每一个设备的位置数据包括唯一标识符；处理器还被配置为 : 基于唯一标识符，确定属于所述设备组的设备；以及发送器被配置为 : 向用于执行移动分析的分析装置(309a ; 610)转发被确定为属于所述设备组的设备的位置数据。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN102946584A Filed: 2012-09-13 Issued: 2013-02-27 提供基于位置的服务信息的方法 (Original Assignee) 微软公司 D.斯托佩尔, V.库珀, A.本达延
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (进行识) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CN102946584A CLAIM 7 . 根据权利要求6所述的方法，其中所述相关信息包括对所述保留的信息的部分进行识 (travel instructions) 别的ETag。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (进行识) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CN102946584A CLAIM 7 . 根据权利要求6所述的方法，其中所述相关信息包括对所述保留的信息的部分进行识 (travel instructions) 别的ETag。
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (多个处理) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	CN102946584A CLAIM 11 . 一种计算机可读介质，其上存储计算机可执行指令，当由计算系统的一个或多个处理 (first persons) 器来执行所述计算机可执行指令时，使得所述计算系统执行如权利要求1-10之一所述的方法。
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (多个处理) , or when the second person becomes infected and then is a new first person in subsequent travel .	CN102946584A CLAIM 11 . 一种计算机可读介质，其上存储计算机可执行指令，当由计算系统的一个或多个处理 (first persons) 器来执行所述计算机可执行指令时，使得所述计算系统执行如权利要求1-10之一所述的方法。
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (多个处理) to the new first person .	CN102946584A CLAIM 11 . 一种计算机可读介质，其上存储计算机可执行指令，当由计算系统的一个或多个处理 (first persons) 器来执行所述计算机可执行指令时，使得所述计算系统执行如权利要求1-10之一所述的方法。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	EP2570942A2 Filed: 2012-07-26 Issued: 2013-03-20 Information management method and information management apparatus (Original Assignee) Fujitsu Ltd (Current Assignee) Fujitsu Ltd Toshifumi OBAYASHI, Mio Okunishi, Kyohei Tamai
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (second character string) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	EP2570942A2 CLAIM 4 The information management method according to Claim 2 or Claim 3 , wherein the storing in the fourth storage unit comprises : generating , for the latitude and longitude included in the registration request , a first character string in which the same digit of each of the latitude and the longitude is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude and the longitude , or in order from the least significant digit to a given significant digit , and storing the identification information in the fourth storage unit in a manner correlated with the first character string as the forth key , and wherein the searching comprises : generating , for the latitude to be searched and the longitude to be searched , a second character string (first time) in which the same digit of each of the latitude to be searched and the longitude to be searched is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude to be searched and the longitude to be searched , or in order from the least significant digit to a given significant digit , and searching the identification information correlated with the forth key that forward-agrees with the second character string , with reference to the fourth storage unit .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (second character string) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	EP2570942A2 CLAIM 4 The information management method according to Claim 2 or Claim 3 , wherein the storing in the fourth storage unit comprises : generating , for the latitude and longitude included in the registration request , a first character string in which the same digit of each of the latitude and the longitude is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude and the longitude , or in order from the least significant digit to a given significant digit , and storing the identification information in the fourth storage unit in a manner correlated with the first character string as the forth key , and wherein the searching comprises : generating , for the latitude to be searched and the longitude to be searched , a second character string (first time) in which the same digit of each of the latitude to be searched and the longitude to be searched is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude to be searched and the longitude to be searched , or in order from the least significant digit to a given significant digit , and searching the identification information correlated with the forth key that forward-agrees with the second character string , with reference to the fourth storage unit .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (third character) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	EP2570942A2 CLAIM 5 The information management method according to Claim 2 or Claim 3 , wherein the storing in the fourth storage unit comprises : generating , for the latitude and longitude included in the registration request , a first character string in which the same digit of each of the latitude and the longitude is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the longitude and latitude , or in order from the least significant digit to a given significant digit , and storing the identification information in the fourth storage unit in a manner correlated with the first character string as the forth key , and wherein the searching comprises : generating , for the latitude to be searched and the longitude to be searched , a second character string in which the same digit of each of the latitude to be searched and the longitude to be searched is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each , or in order from the least significant digit to a given significant digit , generating a third character (negative proximity relationship) string in which a portion , which is below a decimal point of the latitude to be searched and the longitude to be searched , is deleted two characters at a time from the tail end of the second character string , and searching for the identification information correlated with the forth key that agrees with the third character string , with reference to the fourth storage unit .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (second character string) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	EP2570942A2 CLAIM 4 The information management method according to Claim 2 or Claim 3 , wherein the storing in the fourth storage unit comprises : generating , for the latitude and longitude included in the registration request , a first character string in which the same digit of each of the latitude and the longitude is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude and the longitude , or in order from the least significant digit to a given significant digit , and storing the identification information in the fourth storage unit in a manner correlated with the first character string as the forth key , and wherein the searching comprises : generating , for the latitude to be searched and the longitude to be searched , a second character string (first time) in which the same digit of each of the latitude to be searched and the longitude to be searched is alternately arrayed one digit at a time in order from the most significant digit of all of the digits of each of the latitude to be searched and the longitude to be searched , or in order from the least significant digit to a given significant digit , and searching the identification information correlated with the forth key that forward-agrees with the second character string , with reference to the fourth storage unit .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US8400317B2 Filed: 2012-07-18 Issued: 2013-03-19 System for providing real time locating and gas exposure monitoring (Original Assignee) Accenture Global Services Ltd (Current Assignee) Accenture Global Services Ltd Ernest K. Johnson, JR., Mark J. Davisson
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (reading device) regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US8400317B2 CLAIM 5 . The system of claim 3 , wherein the alert module is further configured to provide the local alert on the alerting apparatus in response to the condition detected by the hazardous condition detector surpassing an acceptable amount , the panic interface being initiated , or the location device remaining motionless for a determined time interval (second location) . US8400317B2 CLAIM 8 . The system of claim 1 , wherein the interface is further configured to transmit the location data item to be read by a stationary radio frequency reading device (receiving second data) (RF reader) , and the remote server is able to determine the location of the alerting apparatus based on the location of the stationary RF reader that has read the location data item .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (reading device) regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US8400317B2 CLAIM 5 . The system of claim 3 , wherein the alert module is further configured to provide the local alert on the alerting apparatus in response to the condition detected by the hazardous condition detector surpassing an acceptable amount , the panic interface being initiated , or the location device remaining motionless for a determined time interval (second location) . US8400317B2 CLAIM 8 . The system of claim 1 , wherein the interface is further configured to transmit the location data item to be read by a stationary radio frequency reading device (receiving second data) (RF reader) , and the remote server is able to determine the location of the alerting apparatus based on the location of the stationary RF reader that has read the location data item .

US8400317B2

Filed: 2012-07-18 Issued: 2013-03-19

System for providing real time locating and gas exposure monitoring

(Original Assignee) Accenture Global Services Ltd (Current Assignee) Accenture Global Services Ltd

Ernest K. Johnson, JR., Mark J. Davisson

US10198779B2
CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ;

receiving second data (reading device) regarding a second person at a second location (time interval) at a second time ;

determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ;

determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ;

defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ;

in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ;

in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ;

and saving the label of the second person relative to whether being contaminated or uncontaminated .

US8400317B2
CLAIM 5 . The system of claim 3 , wherein the alert module is further configured to provide the local alert on the alerting apparatus in response to the condition detected by the hazardous condition detector surpassing an acceptable amount , the panic interface being initiated , or the location device remaining motionless for a determined time interval (second location) .

US8400317B2
CLAIM 8 . The system of claim 1 , wherein the interface is further configured to transmit the location data item to be read by a stationary radio frequency reading device (receiving second data) (RF reader) , and the remote server is able to determine the location of the alerting apparatus based on the location of the stationary RF reader that has read the location data item .

US10198779B2
CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ;

receiving second data (reading device) regarding a second person at a second location (time interval) at a second time ;

determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ;

determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ;

defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ;

in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ;

in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ;

and saving the label of the second person relative to whether being exposed or unexposed .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN103443788A Filed: 2011-12-29 Issued: 2013-12-11 用于步行浏览的方法和装置 (Original Assignee) 米科·韦内宁米科·韦内宁
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (距离通信) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN103443788A CLAIM 60 . 一种软件程序产品，其特征在于， -至少一个信息页信号被配置为由计算机和短距离通信 (proximity distance) 链路发送(200)， -所述范围内的至少一个移动台被配置为接收所述信息页信号(210)，-所述软件程序产品用从所述移动台接收的至少一个查询词搜索所述信息页(220)， -至少一个搜索结果被配置为显示在所述移动台的显示器上(230)。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights (网络连, 网络中) on the predicted travel route .	CN103443788A CLAIM 1 . 一种移动搜索方法，包括具有通信网络连 (traffic lights) 接的至少一个移动台，所述移动台位置被确定，并且所述移动台连接和/或被连接到包括至少一个计算机的至少一个通信网络(100)，其特征在于以下步骤 : -所述至少一个搜索引擎利用所述位置作为搜索参数在至少一个所述移动台文件系统和/或互联网和/或所述网络中 (traffic lights) 的文件系统中进行至少一个搜索(130)， -如果至少一个搜索结果达到特定相关水平，则所述移动台产生声音、光和/或振动信号。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (距离通信) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN103443788A CLAIM 60 . 一种软件程序产品，其特征在于， -至少一个信息页信号被配置为由计算机和短距离通信 (proximity distance) 链路发送(200)， -所述范围内的至少一个移动台被配置为接收所述信息页信号(210)，-所述软件程序产品用从所述移动台接收的至少一个查询词搜索所述信息页(220)， -至少一个搜索结果被配置为显示在所述移动台的显示器上(230)。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130103419A1 Filed: 2011-10-19 Issued: 2013-04-25 Method and system for detecting location of fixed wireless asset in a hospital environment (Original Assignee) CareFusion 303 Inc (Current Assignee) CareFusion 303 Inc Serge Beaudry
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (determined time period) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA . US20130103419A1 CLAIM 6 . The system of claim 1 , wherein the computer is configured to determine the location of the at least one FWA based on data received by the FWA within at least one determined time period (proximity time period) .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (determined time period) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20130103419A1 CLAIM 6 . The system of claim 1 , wherein the computer is configured to determine the location of the at least one FWA based on data received by the FWA within at least one determined time period (proximity time period) . US20130103419A1 CLAIM 15 . A computer-readable medium having (medium timeframe) computer-executable instructions stored thereon for execution by a processor to perform a method of determining a location of a FWA in a hospital environment , the method including the steps of : receiving at least one message from the FWA that comprises a patient ID and an identification of a PCD that is paired with the patient ; receiving patient-room information comprising the patient IDs of a plurality of patients admitted to the hospital and identification of the hospital rooms that are assigned to the patients ; and determining the location of the FWA based on the at least one received message and the patient-room information .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (determined time period) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20130103419A1 CLAIM 5 . The system of claim 3 , wherein the computer is configured to determine that the at least one FWA is located proximate to the room that is assigned to the patient when the mobile device provides data related to the patient at least one time t (first data, first time, first signal) o the FWA . US20130103419A1 CLAIM 6 . The system of claim 1 , wherein the computer is configured to determine the location of the at least one FWA based on data received by the FWA within at least one determined time period (proximity time period) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120268269A1 Filed: 2011-04-19 Issued: 2012-10-25 Threat score generation (Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc Thomas Francis Doyle
US10198779B2 CLAIM 1 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data (particular value) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20120268269A1 CLAIM 6 . The method of claim 4 , wherein a potential victim type of the second group of multiple potential victim types is selected from a group comprising a minor , a child in a particular age range , a woman , a woman in a given age range , an individual living near a known prior predator , an individual who drives a particular car or a car having a particular value (receiving second data) range , an individual traveling alone , or a person that lives in a particular neighborhood . US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest . US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (threshold distance) period (threshold distance) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest . US20120268269A1 CLAIM 29 . An article comprising : at least one storage medium having (medium timeframe) stored thereon instructions executable by one or more processors to : obtain one or more first attributes of a first person , the first person being associated with at least a first mobile device that is to receive one or more signals and that is co-located with the first person ; obtain one or more second attributes of a second person ; obtain a first location digest indicative of one or more locations that are associated with the first person , the first location digest being based at least partly on at least one location estimate that is derived from the one or more signals received at the first mobile device ; obtain a second location digest indicative of one or more locations that are associated with the second person ; and generate a threat score of the first person with respect to the second person based , at least in part , on the one or more first attributes of the first person , the one or more second attributes of the second person , the first location digest , and the second location digest .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (threshold distance) being positive .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (threshold distance) is positive , performing the method with a third person relative to the second person .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (threshold distance) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (threshold distance) based on historical travel data .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold distance) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (threshold distance) in real time .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (threshold distance) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data (particular value) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20120268269A1 CLAIM 6 . The method of claim 4 , wherein a potential victim type of the second group of multiple potential victim types is selected from a group comprising a minor , a child in a particular age range , a woman , a woman in a given age range , an individual living near a known prior predator , an individual who drives a particular car or a car having a particular value (receiving second data) range , an individual traveling alone , or a person that lives in a particular neighborhood . US20120268269A1 CLAIM 19 . The device of claim 18 , wherein the one or more characteristics comprise at least one distance separating the first person and the second person and a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) , with the at least one distance separating the first person and the second person being determinable from the first location digest and the second location digest . US20120268269A1 CLAIM 21 . The device of claim 19 , wherein the one or more characteristics comprise at least one dwell time t (first data, first time, first signal) hat elapses if the at least one distance separating the first person and the second person meets the threshold distance .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130031179A1 Filed: 2011-04-18 Issued: 2013-01-31 Social-network method for anticipating epidemics and trends (Original Assignee) Harvard College (Current Assignee) Harvard College ; University of California Nicholas A. Christakis, James H. Fowler
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (search query) on a server computing system , which is stored as either positive or negative .	US20130031179A1 CLAIM 37 . The method of claim 36 wherein step (d) comprising determining whether the number and timing of selected search query (proximity relationship database) occurrences follows a predetermined pattern .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (predetermined threshold) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20130031179A1 CLAIM 10 . The method of claim 1 wherein step (d) comprises determining when the number reaches a predetermined threshold (negative proximity) .

US20130031179A1

Filed: 2011-04-18 Issued: 2013-01-31

Social-network method for anticipating epidemics and trends

(Original Assignee) Harvard College (Current Assignee) Harvard College ; University of California

Nicholas A. Christakis, James H. Fowler

US10198779B2
CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ;

providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ;

providing the proximity relationship to a proximity relationship database (search query) on a server computing system , which is stored as either positive or negative .

US20130031179A1
CLAIM 37 . The method of claim 36 wherein step (d) comprising determining whether the number and timing of selected search query (proximity relationship database) occurrences follows a predetermined pattern .

US10198779B2
CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (predetermined threshold) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ;

providing travel instructions to a safe zone ;

modulating traffic lights on the predicted travel route .

US20130031179A1
CLAIM 10 . The method of claim 1 wherein step (d) comprises determining when the number reaches a predetermined threshold (negative proximity) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120158289A1 Filed: 2010-12-17 Issued: 2012-06-21 Mobile search based on predicted location (Original Assignee) Microsoft Corp (Current Assignee) Uber Technologies Inc Alice Jane Bernheim Brush, John Charles Krumm, Shahriyar Amini, Amy Karlson, Jaime Teevan, Nissanka Arachchige Bodhi Priyantha
US10198779B2 CLAIM 1 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set . US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof . US20120158289A1 CLAIM 9 . The method of claim 1 , further comprising : transmitting to the server an updated location history of the mobile computing device that indicates the movement of the mobile computing device from the particular location to a second location (second location) ; receiving at least one updated search result from the server ; and displaying the at least one updated search result at the mobile computing device . US20120158289A1 CLAIM 15 . The non-transitory computer-readable storage medium of claim 10 , further comprising instructions that , when executed by the computer , cause the computer to : compute a speed of the mobile computing device based on times (proximity distance) tamps associated with each geographic element in the set of geographic elements , wherein the one or more search results are identified based at least in part on the computed speed of the mobile computing device .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (threshold distance) period (threshold distance) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (threshold distance) being positive .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (threshold distance) is positive , performing the method with a third person (geographic area) relative to the second person .	US20120158289A1 CLAIM 6 . The method of claim 5 , wherein the one or more geographic elements include a geographic cell representing a geographic area (third person) , a road segment , or any combination thereof . US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (threshold distance) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (threshold distance) based on historical travel data .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold distance) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (threshold distance) in real time .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (threshold distance) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20120158289A1 CLAIM 7 . The method of claim 5 , further comprising : sampling a location indicator of the mobile phone upon expiration of a sampling period , wherein the location indicator returns a location in response to the sampling ; identifying a geographic element corresponding to the returned location ; and when the identified geographic element is not included in the set and when the returned location is greater than a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) away from a previously returned location , adding the geographic element to the set . US20120158289A1 CLAIM 8 . The method of claim 7 , further comprising displaying a remaining time t (first data, first time, first signal) o arrival at the predicted destination , traffic conditions en-route to the predicted destination , an alternate route to the predicted destination , or any combination thereof . US20120158289A1 CLAIM 9 . The method of claim 1 , further comprising : transmitting to the server an updated location history of the mobile computing device that indicates the movement of the mobile computing device from the particular location to a second location (second location) ; receiving at least one updated search result from the server ; and displaying the at least one updated search result at the mobile computing device . US20120158289A1 CLAIM 15 . The non-transitory computer-readable storage medium of claim 10 , further comprising instructions that , when executed by the computer , cause the computer to : compute a speed of the mobile computing device based on times (proximity distance) tamps associated with each geographic element in the set of geographic elements , wherein the one or more search results are identified based at least in part on the computed speed of the mobile computing device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US8630820B2 Filed: 2010-08-24 Issued: 2014-01-14 Methods and systems for threat assessment, safety management, and monitoring of individuals and groups (Original Assignee) Strider Inc (Current Assignee) Strider Inc David Amis
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple, first data) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (second data) regarding a second person (appropriate response) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US8630820B2 CLAIM 1 . A method of determining a security assessment and providing appropriate preventative responses , comprising : receiving at a server , a first data (first data, mobile computing device, receiving first data) signal from a first database ; receiving at the server , a second data (second data) signal from a user device or a third-party mobile device , the second signal containing image data or video data ; receiving at the server , a third data signal from a second database , the third data signal containing historical user routine data ; analyzing , by the server , the first data signal , the second data signal , and the third data signal ; determining , by the server , a security assessment based on the first data signal , the second data signal , and the third data signal ; and transmitting , by the server , a response signal based on the security assessment to at least one of the user device and a first responder , the response signal requiring a check-in from the user device . US8630820B2 CLAIM 7 . The method of claim 1 , wherein the response signal is selected from a group consisting of a telephone call (receiving second data) , a SMS (short message service) message , and an electronic mail message . US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user . US8630820B2 CLAIM 12 . A system for remotely monitoring an individual and providing varying levels of security assistance , consisting of : a remote monitoring center communicatively couple (first data, mobile computing device, receiving first data) d to a safety network ; a first safety device coupled to the safety network , wherein the safety device is configured to transmit data to the remote monitoring center ; a server communicatively coupled to the safety network and to the remote monitoring center , wherein the server is configured to receive a plurality of data signals from a plurality of data sources , the server further configured to receive past location history from a user device , the server further configured to receive past user routine data from the user device , and the server further configured to predict an occurrence of a potentially dangerous incident using the past location history and the past user routine data ; and a transmitter coupled to the server , the transmitter configured to transmit a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (communicatively couple, first data) and second data (second data) is data from a signal of a mobile computing device (communicatively couple, first data) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US8630820B2 CLAIM 1 . A method of determining a security assessment and providing appropriate preventative responses , comprising : receiving at a server , a first data (first data, mobile computing device, receiving first data) signal from a first database ; receiving at the server , a second data (second data) signal from a user device or a third-party mobile device , the second signal containing image data or video data ; receiving at the server , a third data signal from a second database , the third data signal containing historical user routine data ; analyzing , by the server , the first data signal , the second data signal , and the third data signal ; determining , by the server , a security assessment based on the first data signal , the second data signal , and the third data signal ; and transmitting , by the server , a response signal based on the security assessment to at least one of the user device and a first responder , the response signal requiring a check-in from the user device . US8630820B2 CLAIM 12 . A system for remotely monitoring an individual and providing varying levels of security assistance , consisting of : a remote monitoring center communicatively couple (first data, mobile computing device, receiving first data) d to a safety network ; a first safety device coupled to the safety network , wherein the safety device is configured to transmit data to the remote monitoring center ; a server communicatively coupled to the safety network and to the remote monitoring center , wherein the server is configured to receive a plurality of data signals from a plurality of data sources , the server further configured to receive past location history from a user device , the server further configured to receive past user routine data from the user device , and the server further configured to predict an occurrence of a potentially dangerous incident using the past location history and the past user routine data ; and a transmitter coupled to the server , the transmitter configured to transmit a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (communicatively couple, first data) and second data (second data) are real time data or historical data .	US8630820B2 CLAIM 1 . A method of determining a security assessment and providing appropriate preventative responses , comprising : receiving at a server , a first data (first data, mobile computing device, receiving first data) signal from a first database ; receiving at the server , a second data (second data) signal from a user device or a third-party mobile device , the second signal containing image data or video data ; receiving at the server , a third data signal from a second database , the third data signal containing historical user routine data ; analyzing , by the server , the first data signal , the second data signal , and the third data signal ; determining , by the server , a security assessment based on the first data signal , the second data signal , and the third data signal ; and transmitting , by the server , a response signal based on the security assessment to at least one of the user device and a first responder , the response signal requiring a check-in from the user device . US8630820B2 CLAIM 12 . A system for remotely monitoring an individual and providing varying levels of security assistance , consisting of : a remote monitoring center communicatively couple (first data, mobile computing device, receiving first data) d to a safety network ; a first safety device coupled to the safety network , wherein the safety device is configured to transmit data to the remote monitoring center ; a server communicatively coupled to the safety network and to the remote monitoring center , wherein the server is configured to receive a plurality of data signals from a plurality of data sources , the server further configured to receive past location history from a user device , the server further configured to receive past user routine data from the user device , and the server further configured to predict an occurrence of a potentially dangerous incident using the past location history and the past user routine data ; and a transmitter coupled to the server , the transmitter configured to transmit a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (appropriate response) does not have the contagion prior to the proximity relationship being positive .	US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (appropriate response) .	US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (appropriate response) becomes infected and then is a new first person in subsequent travel .	US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (appropriate response) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple, first data) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (second data) regarding a second person (appropriate response) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US8630820B2 CLAIM 1 . A method of determining a security assessment and providing appropriate preventative responses , comprising : receiving at a server , a first data (first data, mobile computing device, receiving first data) signal from a first database ; receiving at the server , a second data (second data) signal from a user device or a third-party mobile device , the second signal containing image data or video data ; receiving at the server , a third data signal from a second database , the third data signal containing historical user routine data ; analyzing , by the server , the first data signal , the second data signal , and the third data signal ; determining , by the server , a security assessment based on the first data signal , the second data signal , and the third data signal ; and transmitting , by the server , a response signal based on the security assessment to at least one of the user device and a first responder , the response signal requiring a check-in from the user device . US8630820B2 CLAIM 7 . The method of claim 1 , wherein the response signal is selected from a group consisting of a telephone call (receiving second data) , a SMS (short message service) message , and an electronic mail message . US8630820B2 CLAIM 8 . A method of predicting a probability of harm and providing appropriate preventative responses , comprising : receiving , at a server , a plurality of data signals from a plurality of data sources ; receiving , at the server , image or video data from a user device or a third-party mobile device ; receiving , at the server , past location history from the user device ; receiving , at the server , user routine data from the user device or a remote server ; analyzing , at the server , the data signals , image or video data , user routine data , and the past location history to predict an occurrence of a potentially dangerous incident ; determining , by the server , an appropriate response (second person) to affect an outcome of the potentially dangerous incident ; and transmitting , by the server , a check-in request to the user device requiring a check-in from a user . US8630820B2 CLAIM 12 . A system for remotely monitoring an individual and providing varying levels of security assistance , consisting of : a remote monitoring center communicatively couple (first data, mobile computing device, receiving first data) d to a safety network ; a first safety device coupled to the safety network , wherein the safety device is configured to transmit data to the remote monitoring center ; a server communicatively coupled to the safety network and to the remote monitoring center , wherein the server is configured to receive a plurality of data signals from a plurality of data sources , the server further configured to receive past location history from a user device , the server further configured to receive past user routine data from the user device , and the server further configured to predict an occurrence of a potentially dangerous incident using the past location history and the past user routine data ; and a transmitter coupled to the server , the transmitter configured to transmit a check-in request to the user device requiring a check-in from a user .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20110254682A1 Filed: 2009-12-17 Issued: 2011-10-20 Hand hygiene system (Original Assignee) Clean Contact ApS (Current Assignee) SAFE CONTACT APS Daniel Sigrist Christensen
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (RFID tags) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (visual indication) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20110254682A1 CLAIM 1 . A system for monitoring hygiene compliance in a medical facility , comprising : personnel tags , such as RFID tags (first location) , for patients and for healthcare workers within the facility ; sensors , to be carried by healthcare workers , which recognize personnel tags for patients within a distance of 1 meter ; washing stations provided with tags which are recognized by said sensors within a distance of 0 . 5 meter ; a control unit , to be carried by the healthcare workers , said control unit being programmed to detect whether a healthcare worker bearing one of the personnel tags accessed a washing station prior to contacting a patient bearing a separate one of the personnel tags . US20110254682A1 CLAIM 3 . A system according to claim 2 , wherein the status indicator provides a visual indication (second time) of the hand hygiene status .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (RFID tags) is within a first contagious zone of a first signal tracking device .	US20110254682A1 CLAIM 1 . A system for monitoring hygiene compliance in a medical facility , comprising : personnel tags , such as RFID tags (first location) , for patients and for healthcare workers within the facility ; sensors , to be carried by healthcare workers , which recognize personnel tags for patients within a distance of 1 meter ; washing stations provided with tags which are recognized by said sensors within a distance of 0 . 5 meter ; a control unit , to be carried by the healthcare workers , said control unit being programmed to detect whether a healthcare worker bearing one of the personnel tags accessed a washing station prior to contacting a patient bearing a separate one of the personnel tags .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (visual indication) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20110254682A1 CLAIM 3 . A system according to claim 2 , wherein the status indicator provides a visual indication (second time) of the hand hygiene status .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (RFID tags) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20110254682A1 CLAIM 1 . A system for monitoring hygiene compliance in a medical facility , comprising : personnel tags , such as RFID tags (first location) , for patients and for healthcare workers within the facility ; sensors , to be carried by healthcare workers , which recognize personnel tags for patients within a distance of 1 meter ; washing stations provided with tags which are recognized by said sensors within a distance of 0 . 5 meter ; a control unit , to be carried by the healthcare workers , said control unit being programmed to detect whether a healthcare worker bearing one of the personnel tags accessed a washing station prior to contacting a patient bearing a separate one of the personnel tags .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (RFID tags) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (visual indication) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20110254682A1 CLAIM 1 . A system for monitoring hygiene compliance in a medical facility , comprising : personnel tags , such as RFID tags (first location) , for patients and for healthcare workers within the facility ; sensors , to be carried by healthcare workers , which recognize personnel tags for patients within a distance of 1 meter ; washing stations provided with tags which are recognized by said sensors within a distance of 0 . 5 meter ; a control unit , to be carried by the healthcare workers , said control unit being programmed to detect whether a healthcare worker bearing one of the personnel tags accessed a washing station prior to contacting a patient bearing a separate one of the personnel tags . US20110254682A1 CLAIM 3 . A system according to claim 2 , wherein the status indicator provides a visual indication (second time) of the hand hygiene status .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20110093458A1 Filed: 2009-09-25 Issued: 2011-04-21 Recommending points of interests in a region (Original Assignee) Microsoft Corp (Current Assignee) Microsoft Technology Licensing LLC Yu Zheng, Chang Sheng, Xing Xie
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (spatial distribution) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20110093458A1 CLAIM 1 . A method implemented at least partially by a processor , the method comprising : accessing a spatial map ; partitioning the spatial map into grids to identify representative categories located in each of the grids ; selecting a query region with a place of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes the representative categories ; determining whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common representative categories , and common spatial distribution (first location) s of representative categories ; and providing top ranking geographical regions from the set of geographical candidates in the spatial map that have content information that is similar to the query region .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (spatial distribution) is within a first contagious zone of a first signal tracking device .	US20110093458A1 CLAIM 1 . A method implemented at least partially by a processor , the method comprising : accessing a spatial map ; partitioning the spatial map into grids to identify representative categories located in each of the grids ; selecting a query region with a place of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes the representative categories ; determining whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common representative categories , and common spatial distribution (first location) s of representative categories ; and providing top ranking geographical regions from the set of geographical candidates in the spatial map that have content information that is similar to the query region .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (spatial distribution) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20110093458A1 CLAIM 1 . A method implemented at least partially by a processor , the method comprising : accessing a spatial map ; partitioning the spatial map into grids to identify representative categories located in each of the grids ; selecting a query region with a place of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes the representative categories ; determining whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common representative categories , and common spatial distribution (first location) s of representative categories ; and providing top ranking geographical regions from the set of geographical candidates in the spatial map that have content information that is similar to the query region .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (readable media) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20110093458A1 CLAIM 15 . One or more computer-readable media (travel instructions) encoded with instructions that , when executed by a processor , perform acts comprising : selecting a query region with a point of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes representative categories ; calculating whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common content properties , and common spatial properties ; and presenting top geographical regions from the set of candidates that have content information that is similar to the user-specified region .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (readable media) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20110093458A1 CLAIM 15 . One or more computer-readable media (travel instructions) encoded with instructions that , when executed by a processor , perform acts comprising : selecting a query region with a point of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes representative categories ; calculating whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common content properties , and common spatial properties ; and presenting top geographical regions from the set of candidates that have content information that is similar to the user-specified region .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (spatial distribution) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20110093458A1 CLAIM 1 . A method implemented at least partially by a processor , the method comprising : accessing a spatial map ; partitioning the spatial map into grids to identify representative categories located in each of the grids ; selecting a query region with a place of interest in a representative category in the spatial map ; in response to the query region , receiving a set of geographical candidates in the spatial map that includes the representative categories ; determining whether the query region and the set of candidates in the spatial map include content information that is similar having common geometric properties , common representative categories , and common spatial distribution (first location) s of representative categories ; and providing top ranking geographical regions from the set of geographical candidates in the spatial map that have content information that is similar to the query region .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080126450A1 Filed: 2006-11-28 Issued: 2008-05-29 Aggregation syndication platform (Original Assignee) Yahoo Inc (Current Assignee) Verizon Media Inc Justin O'Neill, Keith Marlow
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one second) is within a first contagious zone of a first signal (one second) tracking device .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (one second) and second data are real time data or historical data .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one second) is one or more of : within a strong proximity zone of a first signal (one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20080126450A1 CLAIM 29 . In a computer readable storage medium having (medium timeframe) stored therein instructions executable by a programmed processor for processing a plurality of secondary data sets , the storage medium comprising instructions for : aggregating the secondary data sets to form a primary data set comprising of the secondary data sets ; syndicating each of the secondary data sets within the primary data set for standardizing the format of each of the secondary data sets ; and geocoding each of the secondary data sets within the primary data set with a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080126450A1 CLAIM 9 . A method of accessing from a server a plurality of secondary data sets , the method comprising the steps of : identifying at least one geographic location of interest ; identifying at least one category of interest ; communicating the at least one geographic location of interest and the at least one category of interest to the server , the server having a storage unit storing a primary data set comprising the plurality of secondary data sets , each of the secondary data sets having a uniform format , at least one category type and a geocode , the geocode indicating a geographic location relating to information contained within the secondary data set ; and receiving from the server the at least one second (first data, first location, first signal, first signal tracking device) ary data set having at least one category type relating to the previously communicated at least one category of interest and a geocode relating to the previously communicated at least one geographic location of interest .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080071761A1 Filed: 2006-08-31 Issued: 2008-03-20 System and method for identifying a location of interest to be named by a user (Original Assignee) EKTIMISI SEMIOTICS HOLDINGS LLC (Current Assignee) SCENERA MOBILE TECHNOLOGIES LLC Munindar P. Singh, Mona Singh
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location (more locations) at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (highest weight) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location . US20080071761A1 CLAIM 6 . The apparatus of claim 4 , wherein the location module is configured to apply a highest weight (second location) ing to the user-specific action information and a lowest weighting to the short-term presence information in determining the significance factor of the location . US20080071761A1 CLAIM 9 . The apparatus of claim 1 wherein the location naming module is further configured to prompt the user to name one or more locations (first location) when the user is actively using or has used the mobile communication device within a specified time period .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (more locations) is within a first contagious zone of a first signal (time t) tracking device .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location . US20080071761A1 CLAIM 9 . The apparatus of claim 1 wherein the location naming module is further configured to prompt the user to name one or more locations (first location) when the user is actively using or has used the mobile communication device within a specified time period .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (more locations) is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location . US20080071761A1 CLAIM 9 . The apparatus of claim 1 wherein the location naming module is further configured to prompt the user to name one or more locations (first location) when the user is actively using or has used the mobile communication device within a specified time period .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location (more locations) at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (highest weight) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080071761A1 CLAIM 2 . The apparatus of claim 1 wherein the user-specific location information includes short-term presence information including at least one of a number of times the user is present at or near the location during a first predetermined time interval and an amount of time t (first data, first time, first signal) he user is present at or near the location . US20080071761A1 CLAIM 6 . The apparatus of claim 4 , wherein the location module is configured to apply a highest weight (second location) ing to the user-specific action information and a lowest weighting to the short-term presence information in determining the significance factor of the location . US20080071761A1 CLAIM 9 . The apparatus of claim 1 wherein the location naming module is further configured to prompt the user to name one or more locations (first location) when the user is actively using or has used the mobile communication device within a specified time period .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CA2418268A1 Filed: 2001-07-20 Issued: 2002-01-31 Interactive weather advisory system (Original Assignee) Weatherbank, Inc.; Steven A. Root; Michael R. Root; Locator Ip, Lp (Current Assignee) Locator IP LP Steven A. Root, Michael R. Root
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (output signals) tracking device .	CA2418268A1 CLAIM 1 . A broadcast network for selectively transmitting individualized weather output signals (first signal) to at least one of a plurality of communicator devices remotely located from the broadcast network , the broadcast network comprising : a user input database containing a plurality of user-defined parameters with each of the user-defined parameters including a user profile , the user profile in each of the user-defined parameters including a user identifier code identifying a communicator device associated with a particular user ; a weather analysis unit automatically and continuously comparing location codes and spatial range identifiers with the real-time weather data received from a weather information database so as to generate a plurality of individualized weather output signals including weather information within the spatial ranges identified by the spatial range identifiers and the location codes ; and a communication network receiving the user identifier codes in the user-defined parameters and the individualized weather output signals , the communication network transmitting each individualized weather output signal to the particular communicator device identified by the user identifier code in the user profile included in the user-defined parameter .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (output signals) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CA2418268A1 CLAIM 1 . A broadcast network for selectively transmitting individualized weather output signals (first signal) to at least one of a plurality of communicator devices remotely located from the broadcast network , the broadcast network comprising : a user input database containing a plurality of user-defined parameters with each of the user-defined parameters including a user profile , the user profile in each of the user-defined parameters including a user identifier code identifying a communicator device associated with a particular user ; a weather analysis unit automatically and continuously comparing location codes and spatial range identifiers with the real-time weather data received from a weather information database so as to generate a plurality of individualized weather output signals including weather information within the spatial ranges identified by the spatial range identifiers and the location codes ; and a communication network receiving the user identifier codes in the user-defined parameters and the individualized weather output signals , the communication network transmitting each individualized weather output signal to the particular communicator device identified by the user identifier code in the user profile included in the user-defined parameter .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (time data) on a server computing system , which is stored as either positive or negative .	CA2418268A1 CLAIM 2 . The broadcast network of claim 1 , wherein a plurality of the location codes specify dynamic locations and wherein the broadcast network further comprises a communicator location database containing real-time data (proximity relationship database) indicative of the dynamic spatial locations of a plurality of the communicator devices .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN101083784A Filed: 2001-07-20 Issued: 2007-12-05 交互式气象咨询系统 (Original Assignee) 气象库公司 S·A·鲁特, M·R·鲁特
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (接收空间) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN101083784A CLAIM 1 . 一种广播网络，用于选择性地把个性化的气象输出信号传输到多个距所述广播网络遥远的通信设备中的至少一个通信设备，所述广播网络包括：含有多个用户定义参数的用户输入数据库，每个所述用户定义参数包括用户简表，所述用户简表包括标识通信设备的用户标识符代码；分析单元，其接收空间 (receiving first data) 位置标识符并将空间位置与数据进行比较以产生个性化的气象输出信号；和通信网络，其接收所述个性化的气象输出信号，并将所述个性化的气象输出信号传输到所述通信设备。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (用户标识) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN101083784A CLAIM 1 . 一种广播网络，用于选择性地把个性化的气象输出信号传输到多个距所述广播网络遥远的通信设备中的至少一个通信设备，所述广播网络包括：含有多个用户定义参数的用户输入数据库，每个所述用户定义参数包括用户简表，所述用户简表包括标识通信设备的用户标识 (medium proximity) 符代码；分析单元，其接收空间位置标识符并将空间位置与数据进行比较以产生个性化的气象输出信号；和通信网络，其接收所述个性化的气象输出信号，并将所述个性化的气象输出信号传输到所述通信设备。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (接收空间) regarding a first person at a first location at a first time , wherein the first person is at a first event (电话网) ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN101083784A CLAIM 1 . 一种广播网络，用于选择性地把个性化的气象输出信号传输到多个距所述广播网络遥远的通信设备中的至少一个通信设备，所述广播网络包括：含有多个用户定义参数的用户输入数据库，每个所述用户定义参数包括用户简表，所述用户简表包括标识通信设备的用户标识符代码；分析单元，其接收空间 (receiving first data) 位置标识符并将空间位置与数据进行比较以产生个性化的气象输出信号；和通信网络，其接收所述个性化的气象输出信号，并将所述个性化的气象输出信号传输到所述通信设备。 CN101083784A CLAIM 2 . 根据权利要求1所述的广播网络，其中所述个性化的气象输出信号通过移动电话网 (first event) 络被传输到特定的通信设备。
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (电话网) is a natural disaster , terrorist event , catastrophe , or other event .	CN101083784A CLAIM 2 . 根据权利要求1所述的广播网络，其中所述个性化的气象输出信号通过移动电话网 (first event) 络被传输到特定的通信设备。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN1449615A Filed: 2001-07-20 Issued: 2003-10-15 交互式气象咨询系统 (Original Assignee) 气象库公司 S·A·鲁特, M·R·鲁特
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (网络接收) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (中多个) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (多个距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN1449615A CLAIM 8 . 一个向多个距离 (proximity distance) 广播网络遥远的用户提供气象信息的方法，所述方法包含以下步骤：向用户输入数据库输入多个用户定义参数，每个用户定义参数包含一个用户数据，每个用户定义参数中的用户数据，包含一个标识与一个特定的用户相联系的通信设备的用户标识符代码；自动连续地把位置代码和空间范围标识符与实时气象数据相比较，以产生多个个性化的气象输出信号，该气象输出信号包括用于多个用户定义参数的、空间范围标识符标识的空间范围内的气象信息，通过一通信网络接收 (receiving first data) 用户定义参数中的用户标识符代码和个性化的气象输出信号；相应于实时气象数据，把每个个性化的气象输出信号传输到包含在用户定义参数用户数据中的用户标识符代码标识的特定的通信设备。 CN1449615A CLAIM 13 . 根据权利要求8，9，10，11或12所述的方法，其中多个 (receiving second data) 位置代码确定多个动态位置，并且其中该方法还包含接收指示多个通信设备动态空间位置的实时数据的步骤。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (的动态) that has been provided to a server computing system .	CN1449615A CLAIM 2 . 根据权利要求1所述的广播网络，其中所述多个位置代码确定动态位置，并且，其中所述广播网络进一步包含通信设备位置数据库，所述通信设备位置数据库包括指示多个通信设备的动态 (signal tracking device) 空间位置的实时数据。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (的动态) .	CN1449615A CLAIM 2 . 根据权利要求1所述的广播网络，其中所述多个位置代码确定动态位置，并且，其中所述广播网络进一步包含通信设备位置数据库，所述通信设备位置数据库包括指示多个通信设备的动态 (signal tracking device) 空间位置的实时数据。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (的动态) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (用户标识) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN1449615A CLAIM 1 . 一种广播网络，用于选择性地把个性化的气象输出信号传输到多个距所述广播网络遥远的通信设备中的至少一个通信设备，所述广播网络包括：一个含多个用户定义参数的用户输入数据库，每个用户定义参数包含一个用户数据，每个用户定义参数中的用户数据包含一个用于标识与某个特定的用户相联系的通信设备的用户标识 (medium proximity) 符代码；一个气象分析单元，用于自动连续地把多个位置代码和空间范围标识符与气象信息数据库中的实时气象数据比较以产生多个个性化气象输出信号，该气象输出信号包括由空间范围标识符和位置代码标识的空间范围内的气象信息；一个通信网络，用于接收用户定义参数中的用户标识符代码和个性化气象输出信号，所述通信网络把每个个性化输出信号传输到用户标识符代码标识的特定通信设备，该用户标识符代码包含在用户定义参数中的用户数据中。 CN1449615A CLAIM 2 . 根据权利要求1所述的广播网络，其中所述多个位置代码确定动态位置，并且，其中所述广播网络进一步包含通信设备位置数据库，所述通信设备位置数据库包括指示多个通信设备的动态 (signal tracking device) 空间位置的实时数据。
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one (标识符与) or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CN1449615A CLAIM 1 . 一种广播网络，用于选择性地把个性化的气象输出信号传输到多个距所述广播网络遥远的通信设备中的至少一个通信设备，所述广播网络包括：一个含多个用户定义参数的用户输入数据库，每个用户定义参数包含一个用户数据，每个用户定义参数中的用户数据包含一个用于标识与某个特定的用户相联系的通信设备的用户标识符代码；一个气象分析单元，用于自动连续地把多个位置代码和空间范围标识符与 (application performs one) 气象信息数据库中的实时气象数据比较以产生多个个性化气象输出信号，该气象输出信号包括由空间范围标识符和位置代码标识的空间范围内的气象信息；一个通信网络，用于接收用户定义参数中的用户标识符代码和个性化气象输出信号，所述通信网络把每个个性化输出信号传输到用户标识符代码标识的特定通信设备，该用户标识符代码包含在用户定义参数中的用户数据中。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (网络接收) regarding a first person at a first location at a first time , wherein the first person is at a first event (电话网) ; receiving second data (中多个) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (多个距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN1449615A CLAIM 6 . 根据权利要求1，2，3，4或5所述的广播网络，其中所述通信网络把个性化的气象输出信号通过移动电话网 (first event) 络传输到特定的通信设备。 CN1449615A CLAIM 8 . 一个向多个距离 (proximity distance) 广播网络遥远的用户提供气象信息的方法，所述方法包含以下步骤：向用户输入数据库输入多个用户定义参数，每个用户定义参数包含一个用户数据，每个用户定义参数中的用户数据，包含一个标识与一个特定的用户相联系的通信设备的用户标识符代码；自动连续地把位置代码和空间范围标识符与实时气象数据相比较，以产生多个个性化的气象输出信号，该气象输出信号包括用于多个用户定义参数的、空间范围标识符标识的空间范围内的气象信息，通过一通信网络接收 (receiving first data) 用户定义参数中的用户标识符代码和个性化的气象输出信号；相应于实时气象数据，把每个个性化的气象输出信号传输到包含在用户定义参数用户数据中的用户标识符代码标识的特定的通信设备。 CN1449615A CLAIM 13 . 根据权利要求8，9，10，11或12所述的方法，其中多个 (receiving second data) 位置代码确定多个动态位置，并且其中该方法还包含接收指示多个通信设备动态空间位置的实时数据的步骤。
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (电话网) is a natural disaster , terrorist event , catastrophe , or other event .	CN1449615A CLAIM 6 . 根据权利要求1，2，3，4或5所述的广播网络，其中所述通信网络把个性化的气象输出信号通过移动电话网 (first event) 络传输到特定的通信设备。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	EP1303965A2 Filed: 2001-07-20 Issued: 2003-04-23 Interactive weather advisory system (Original Assignee) WeatherBank Inc (Current Assignee) WeatherBank Inc Michael R. Root, Steven A. Root
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (output signals) tracking device .	EP1303965A2 CLAIM 1 . A broadcast network for selectively transmitting individualized weather output signals (first signal) to at least one of a plurality of communicator devices remotely located from the broadcast network , the broadcast network comprising : a user input database containing a plurality of user-defined parameters with each of the user-defined parameters including a user profile , the user profile in each of the user-defined parameters including a user identifier code identifying a communicator device associated with a particular user ; a weather analysis unit automatically and continuously comparing location codes and spatial range identifiers with the real-time weather data received from a weather information database so as to generate a plurality of individualized weather output signals including weather information within the spatial ranges identified by the spatial range identifiers and the location codes ; and a communication network receiving the user identifier codes in the user-defined parameters and the individualized weather output signals , the communication network transmitting each individualized weather output signal to the particular communicator device identified by the user identifier code in the user profile included in the user-defined parameter .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (output signals) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	EP1303965A2 CLAIM 1 . A broadcast network for selectively transmitting individualized weather output signals (first signal) to at least one of a plurality of communicator devices remotely located from the broadcast network , the broadcast network comprising : a user input database containing a plurality of user-defined parameters with each of the user-defined parameters including a user profile , the user profile in each of the user-defined parameters including a user identifier code identifying a communicator device associated with a particular user ; a weather analysis unit automatically and continuously comparing location codes and spatial range identifiers with the real-time weather data received from a weather information database so as to generate a plurality of individualized weather output signals including weather information within the spatial ranges identified by the spatial range identifiers and the location codes ; and a communication network receiving the user identifier codes in the user-defined parameters and the individualized weather output signals , the communication network transmitting each individualized weather output signal to the particular communicator device identified by the user identifier code in the user profile included in the user-defined parameter .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (time data) on a server computing system , which is stored as either positive or negative .	EP1303965A2 CLAIM 2 . The broadcast network of claim 1 , wherein a plurality of the location codes specify dynamic locations and wherein the broadcast network further comprises a communicator location database containing real-time data (proximity relationship database) indicative of the dynamic spatial locations of a plurality of the commumcator devices .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20010021930A1 Filed: 2001-03-23 Issued: 2001-09-13 System and methods for remotely accessing a selected group of items of interest from a database (Original Assignee) Bouve W. Lincoln; Semple William T.; Oxman Steven W. W. Bouve, William Semple, Steven Oxman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (information representative) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20010021930A1 CLAIM 58 . A method for remotely determining the position of each of a selected category of items of interest in a selected geographic vicinity from a database , comprising the steps of : (i) storing information about a plurality of items of interest in the database , the information including , for each of the items of interest , a geographic location and at least one associated category ; (ii) accessing the database from a remote port and over a communication link ; (iii) communicating , from the remote port , information representative (medium proximity) of a selected category and a selected geographic vicinity to the database ; and (iv) transmitting a portion of the information from the database and to the user over the link , the information including , at least , identification of the position for one or more of the items of interest within the selected geographic vicinity .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (signal representative) being positive .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (signal representative) is positive , performing the method with a third person relative to the second person .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (signal representative) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (signal representative) based on historical travel data .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (signal representative) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (signal representative) in real time .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20010021930A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , a geographical position and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) an information controller for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of geographic position for at least one of the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position at least one of the items of interest in the selected category and geographic vicinity .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20010054036A1 Filed: 2001-03-23 Issued: 2001-12-20 System and methods for remotely accessing a selected group of items of interest from a database (Original Assignee) Bouve W. Lincoln; Semple William T.; Oxman Steven W. W. Bouve, William Semple, Steven Oxman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (graphical information) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20010054036A1 CLAIM 26 . A method of claim 24 , further comprising the step of hierarchically displaying geographical information (first time, proximity time) at the one port in response to user inputs at the one port .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (graphical information) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20010054036A1 CLAIM 26 . A method of claim 24 , further comprising the step of hierarchically displaying geographical information (first time, proximity time) at the one port in response to user inputs at the one port .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (graphical information) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20010054036A1 CLAIM 26 . A method of claim 24 , further comprising the step of hierarchically displaying geographical information (first time, proximity time) at the one port in response to user inputs at the one port .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (information item) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20010054036A1 CLAIM 28 . A method of claim 24 , wherein the step of supplying comprises supplying the information item (performing one) s within a radius about the one port .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (selected category) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20010054036A1 CLAIM 1 . A system for determining the position of one or more items of interest in a selected category (second persons) , comprising : a database for storing information about the items of interest , the information including , for each of the items of interest , a geographic position and at least one associated category ; and a plurality of ports for accessing the database through the Internet , each port having a user interface for accepting inputs by a user of the system and for indicating to the user the position of at least one item of interest .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (graphical information) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20010054036A1 CLAIM 26 . A method of claim 24 , further comprising the step of hierarchically displaying geographical information (first time, proximity time) at the one port in response to user inputs at the one port .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US6727818B1 Filed: 2000-10-30 Issued: 2004-04-27 Hygiene monitoring system (Original Assignee) Hill Rom Services Inc (Current Assignee) Hill Rom Services Inc Timothy D. Wildman, Dennis J. Gallant, Phill Hausman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands . US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (second sensor) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands . US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone . US6727818B1 CLAIM 93 . The method of claim 90 , further comprising the steps of determining based upon the second location information , whether the equipment has been moved to a new location (medium proximity zone) ; determining based upon the first location information the second location information and the cleaning information whether the equipment was contaminated due to exposure to a contamination zone , wherein the updating step updates the hygiene compliancy information to indicate that an infraction has occurred if a patient was exposed to the equipment in the new location while the equipment was still contaminated due to exposure to the contamination zone .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (second sensor) being positive .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (second sensor) is positive , performing the method with a third person relative to the second person .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (second sensor) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (second sensor) based on historical travel data .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (second sensor) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (second sensor) in real time .	US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US6727818B1 CLAIM 38 . A method of monitoring hygiene compliance , comprising the steps of : determining a period of time t (first data, first time, first signal) he person has remained in a contamination zone after washing her hands in the contamination zone ; and updating status information associated with the person based upon the period of time the person remained in the contamination zone after washing her hands . US6727818B1 CLAIM 43 . A system for monitoring hygiene compliance , comprising a master station ; a plurality of first sensors operable to track movement of a person through a facility , and provide the master station with location information associated with the movement of the person ; and a plurality of second sensor (medium proximity, proximity relationship) s operable to provide the master station with handwashing information associated with attempts by the person to wash her hands , wherein the master station is operable to determine based upon the location information whether the person has entered a patient contact zone , determine based upon the location information and the handwashing information , whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone , and update compliance information for the person based upon whether the person has entered a patient contact zone and whether the person washed her hands since her most recent exposure to a contamination zone other than her current exposure to the patient contact zone .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20020032674A1 Filed: 1997-08-28 Issued: 2002-03-14 System and methods for remotely accessing a selected group of items of interest from a database (Original Assignee) CIVIX-DDI LLC; Civix Corp (Current Assignee) CIVIX-DDI LLC ; Civix Corp William T. Semple, Lincoln Bouve, Steven W. Oxman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (information representative) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20020032674A1 CLAIM 35 . A method for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , comprising the steps of : (i) storing information about a plurality of items of interest in the database , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category ; (ii) accessing the database from a remote location and over a communication link ; (iii) communicating , from the remote location , information representative (medium proximity) of a selected category and a selected geographic vicinity to the database ; and (iv) transmitting a portion of the information from the database and to the user over the link , the information including , at least , identification of a position for the items of interest within the selected category and geographic vicinity .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (signal representative) being positive .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (signal representative) is positive , performing the method with a third person relative to the second person .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (signal representative) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (signal representative) based on historical travel data .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (signal representative) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (signal representative) in real time .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20020032674A1 CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to a user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for the items of interest within the selected category and geographic vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by a user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US5682525A Filed: 1995-01-11 Issued: 1997-10-28 System and methods for remotely accessing a selected group of items of interest from a database (Original Assignee) Civix Corp (Current Assignee) CIVIX-DDI LLC W. Lincoln Bouve, William T. Semple, Steven W. Oxman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (information representative) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US5682525A CLAIM 35 . A method for remotely determining the position of each of a selected category of items of interest in a selected geographic vicinity from a database , comprising the steps of : (i) storing information about a plurality of items of interest in the database , the information including , for each of the items of interest , a geographic vicinity , positional coordinates that locate the vicinity , and at least one associated category ; (ii) accessing the database from a remote port and over a communication link ; (iii) communicating , from the remote port , information representative (medium proximity) of a selected category and a selected geographic vicinity to the database ; and (iv) transmitting a portion of the information from the database and to the user over the link , the information including , at least , identification of the position for each of the items of interest relative to the positional coordinates and other items of interest within the selected category and geographic vicinity .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (signal representative) being positive .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (signal representative) is positive , performing the method with a third person relative to the second person .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (signal representative) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (signal representative) based on historical travel data .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (signal representative) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (signal representative) in real time .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US5682525A CLAIM 1 . System for remotely determining the position of a selected category of items of interest in a selected geographic vicinity from a database , the system comprising (A) a database for storing information about a plurality of items of interest , the information including , for each of the items of interest , positional coordinates , a geographic vicinity , and at least one associated category , the positional coordinates locating the geographic vicinity , (B) a communications link for communicating between a user of the system and the database , (C) means for transmitting a portion of the information in the database to the user via the link upon receipt of a request signal representative (proximity relationship) of a selected category and geographic vicinity , the transmitted portion of the information including identification of a position for each of the items of interest within the selected category and geographic vicinity and relative to the positional coordinates and other items of interest within the vicinity , and (D) a port for remotely accessing the portion of information via the link , the port generating the request signal in response to inputs by the user which are representative of the selected category and geographic vicinity , the port having a user interface for accepting the inputs and for indicating to the user the position of each of the items of interest in the selected category and geographic vicinity .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20160059075A1 Filed: 2015-11-09 Issued: 2016-03-03 Athletic Performance Monitoring Systems and Methods in a Team Sports Environment (Original Assignee) Nike Inc (Current Assignee) Nike Inc James Molyneux, Aaron B. Weast, Brandon S. Burroughs, Scott R. Berggren, Clayton J. Lindsay, Jordan M. Rice, Bert B. Buxton, Edward S. Lowe
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (timed duration) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20160059075A1 CLAIM 4 . The athletic monitoring system of claim 3 , wherein the predefined period of time is a timed duration (proximity time period) of a sporting event .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (timed duration) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20160059075A1 CLAIM 4 . The athletic monitoring system of claim 3 , wherein the predefined period of time is a timed duration (proximity time period) of a sporting event .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (first measurement) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20160059075A1 CLAIM 1 . An athletic monitoring system comprising : a transceiver configured to communicate with a first body-worn athletic device configured to be uniquely associated and releasably attached to a corresponding first player during performance of an athletic activity and a second body-worn athletic device , configured to be uniquely associated and releasably attached to a second player during performance of the athletic activity ; a processor ; and a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor perform at least : receive , in real-time during an athletic activity , athletic motion data collected from a sensor of the first athletic device while releasably attached the first player and athletic motion data from a sensor of the second athletic device while releasably attached to the second player ; process , with the processor , the athletic motion data from the first athletic device to create a first measurement (travel instructions) of a first athletic metric for the first player during the athletic activity ; process , with the processor , the athletic motion data from the second athletic device to create a second measurement of the first athletic metric for the second athlete during the athletic activity ; deriving , with the processor , during the athletic activity , that the first measurement meets a threshold criteria that the second measurement does not meet ; determine , with the processor , an identity of the first player that is uniquely associated with the first athletic device ; and display , on a display unit during performance of the athletic activity , that is viewable to a plurality of individuals , the first measurement of the first athletic metric and the identity of the first player uniquely associated with the first athletic device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (first measurement) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20160059075A1 CLAIM 1 . An athletic monitoring system comprising : a transceiver configured to communicate with a first body-worn athletic device configured to be uniquely associated and releasably attached to a corresponding first player during performance of an athletic activity and a second body-worn athletic device , configured to be uniquely associated and releasably attached to a second player during performance of the athletic activity ; a processor ; and a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor perform at least : receive , in real-time during an athletic activity , athletic motion data collected from a sensor of the first athletic device while releasably attached the first player and athletic motion data from a sensor of the second athletic device while releasably attached to the second player ; process , with the processor , the athletic motion data from the first athletic device to create a first measurement (travel instructions) of a first athletic metric for the first player during the athletic activity ; process , with the processor , the athletic motion data from the second athletic device to create a second measurement of the first athletic metric for the second athlete during the athletic activity ; deriving , with the processor , during the athletic activity , that the first measurement meets a threshold criteria that the second measurement does not meet ; determine , with the processor , an identity of the first player that is uniquely associated with the first athletic device ; and display , on a display unit during performance of the athletic activity , that is viewable to a plurality of individuals , the first measurement of the first athletic metric and the identity of the first player uniquely associated with the first athletic device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (timed duration) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20160059075A1 CLAIM 4 . The athletic monitoring system of claim 3 , wherein the predefined period of time is a timed duration (proximity time period) of a sporting event .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20160026768A1 Filed: 2015-09-29 Issued: 2016-01-28 Mobile-enabled health system (Original Assignee) Kinsa Inc (Current Assignee) Kinsa Inc Inder Singh, Edo Segal
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (calculated temperature) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20160026768A1 CLAIM 12 . A health monitoring and tracking system , the system comprising : a plurality of temperature sensing devices , each of the temperature sensing devices communicatively connectable to at least one of a plurality of respective computing devices and configured to calculate temperature information independently of or in connection with at least one of the respective computing devices ; at least one data repository that stores health-related information received from at least one respective computing device , wherein the health-related information includes at least i) calculated temperature (mobile computing device) information associated with at least one of the temperature sensing devices , and ii) information representing at least one of : at least one medical condition , at least one disease , at least one health-related symptom , geographic location associated with at least one respective computing device , at least one date , identification of at least one individual user , and identification of at least one of the plurality of respective computing devices ; and at least one processor that is configured to execute instructions stored on non-transitory processor readable media which , when executed by the at least one processor , configure the at least one processor to : aggregate at least some of the health-related information stored in the at least one data repository ; process the aggregated health-related information to generate historical , present tense , and/or future predictive health information associated with a plurality of people ; and transmit the generated historical , present , and/or future predictive health information over a communication network to at least one computing device .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (readable media) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20160026768A1 CLAIM 12 . A health monitoring and tracking system , the system comprising : a plurality of temperature sensing devices , each of the temperature sensing devices communicatively connectable to at least one of a plurality of respective computing devices and configured to calculate temperature information independently of or in connection with at least one of the respective computing devices ; at least one data repository that stores health-related information received from at least one respective computing device , wherein the health-related information includes at least i) calculated temperature information associated with at least one of the temperature sensing devices , and ii) information representing at least one of : at least one medical condition , at least one disease , at least one health-related symptom , geographic location associated with at least one respective computing device , at least one date , identification of at least one individual user , and identification of at least one of the plurality of respective computing devices ; and at least one processor that is configured to execute instructions stored on non-transitory processor readable media (travel instructions) which , when executed by the at least one processor , configure the at least one processor to : aggregate at least some of the health-related information stored in the at least one data repository ; process the aggregated health-related information to generate historical , present tense , and/or future predictive health information associated with a plurality of people ; and transmit the generated historical , present , and/or future predictive health information over a communication network to at least one computing device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (readable media) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20160026768A1 CLAIM 12 . A health monitoring and tracking system , the system comprising : a plurality of temperature sensing devices , each of the temperature sensing devices communicatively connectable to at least one of a plurality of respective computing devices and configured to calculate temperature information independently of or in connection with at least one of the respective computing devices ; at least one data repository that stores health-related information received from at least one respective computing device , wherein the health-related information includes at least i) calculated temperature information associated with at least one of the temperature sensing devices , and ii) information representing at least one of : at least one medical condition , at least one disease , at least one health-related symptom , geographic location associated with at least one respective computing device , at least one date , identification of at least one individual user , and identification of at least one of the plurality of respective computing devices ; and at least one processor that is configured to execute instructions stored on non-transitory processor readable media (travel instructions) which , when executed by the at least one processor , configure the at least one processor to : aggregate at least some of the health-related information stored in the at least one data repository ; process the aggregated health-related information to generate historical , present tense , and/or future predictive health information associated with a plurality of people ; and transmit the generated historical , present , and/or future predictive health information over a communication network to at least one computing device .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (personal information) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20160026768A1 CLAIM 26 . A temperature and health information processing system , comprising : a temperature sensing device that is communicatively connectable to at least one of a plurality of respective computing devices and configured to calculate temperature information , independently or in connection with a respective one of the plurality of computing devices ; at least one data repository that is accessible by the at least one of the plurality of respective computing devices and that stores at least temperature information ; a display on the at least one of the plurality of respective computing devices that is configured to prompt a user for at least one of : personal information (second persons) , health information , geographic information , symptom information , illness information , date information , health history information , device identification information , and temperature information ; and at least one processor , configured with or accessible by the at least one of the plurality of respective computing devices , that is configured to execute instructions stored on non-transitory processor readable media , the at least one processor configured by executing the instructions to : receive , from at least one computing device and in response to the prompt , response information including at least one of the personal information , health information , geographic information , symptom information , illness information , date information , health history information , device identification information , and temperature information ; process the response information to aggregate or associate at least some of the response information with at least some of the calculated temperature information ; and display at least some of the processed information as historical , present tense , and/or future predictive information related to health of at least one individual .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20160088455A1 Filed: 2015-09-17 Issued: 2016-03-24 Method and system for emergency call management (Original Assignee) Rapidsos Inc (Current Assignee) Rapidsos Inc 14856818 Bozik, Nicholas Horelik, Michael J. Martin, Anil Mehta
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person has a contagion ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20160088455A1 CLAIM 9 . The method of claim 1 , wherein the emergency messaging system : determines whether a reliable data connection to the dispatch center is available ; implements a VoIP session between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is available ; implements a cellular phone call (receiving second data) between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a reliable cellular connection between the user communication device and the dispatch center is available ; and implements a PSTN phone call between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a cellular phone call between the user communication device and the dispatch center failed to initiate and that a PSTN telephone connection between the user communication device and the dispatch center is available . US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one second) is within a first contagious zone of a first signal (one second) tracking device .	US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (one second) and second data are real time data or historical data .	US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one second) is one or more of : within a strong proximity zone of a first signal (one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (Short Message Service) relative to the second person .	US20160088455A1 CLAIM 1 . A method of facilitating a reliable and persistent communication between a user of a user communication device and an emergency response dispatch center , the method comprising : receiving an emergency alert from the user communication device at an emergency messaging system ; constructing an emergency message that is based on the emergency alert and that includes at least one of an audio file , an interactive voice response (IVR) message , a Short Message Service (third person) (SMS) text message , a Multimedia Messaging Service (MMS) message , an e-mail message , an Instant Messaging (IM) message , and a message otherwise formatted for communication over the Internet ; establishing a first communication link , the first communication link including at least one of a communication link between the emergency messaging system and an emergency response dispatch center , a link between the emergency messaging system and a Routing Service Provider (RSP) and a communication link between the RSP and the dispatch center , and a communication link between the emergency response dispatch center and a first gateway and a communication link between the first gateway and the emergency messaging system ; establishing a second communication link , the second communication link including at least one of a communication link between the emergency messaging system and the user communication device , and a communication link between the emergency messaging system and a second gateway and between the second gateway and the user communication device ; bridging the first communication link and the second communication link ; routing the emergency message from the emergency messaging system to the dispatch center over the first communications link ; and actively managing the first and second communication links until a termination signal is received from the user communication device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (emergency communication, location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20160088455A1 CLAIM 15 . A method for providing emergency communication (negative proximity, negative proximity relationship) with an emergency messaging system , the method comprising : provisioning and maintaining a pool of direct inward dial telephone numbers at one or more gateways ; receiving , at a server of the emergency messaging system (EMS) remote from a user communication device , a transmission from the user communication device that indicates that a user of the user communication device is in an emergency ; receiving , at the EMS , metadata containing information regarding a location of the user communication device sent from the user communication device ; using information regarding the location of the user communication device to determine an Emergency Dispatch Center (EDC) to which to transmit an emergency message ; selecting a telephone number from the pool of direct inward dial telephone numbers ; associating the telephone number with the user communication device ; associating the telephone number with the location of the user communication device in real-time using an emergency service provisioning application programming interface (API) ; and utilizing the telephone number to provision emergency service for the user from the EDC . US20160088455A1 CLAIM 16 . The method of claim 15 , wherein the emergency messaging system sends location information (negative proximity, negative proximity relationship) metadata to one of a number of APIs exposed by third-party Routing Service Providers (RSPs) and , in response to sending the location information metadata , receives , from the one of the number of APIs , an identity of an EDC and identifying information associated with the EDC , including location , infrastructure capabilities , and responder availability of the EDC , and wherein the emergency messaging system includes the location information in a request for provisioning of emergency services for the user utilizing the telephone number , and the third-party RSP updates an automatic location identification (ALI) database of the emergency messaging system to associate the location information with the telephone number .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (personal information, telephone number) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20160088455A1 CLAIM 15 . A method for providing emergency communication with an emergency messaging system , the method comprising : provisioning and maintaining a pool of direct inward dial telephone number (second persons) s at one or more gateways ; receiving , at a server of the emergency messaging system (EMS) remote from a user communication device , a transmission from the user communication device that indicates that a user of the user communication device is in an emergency ; receiving , at the EMS , metadata containing information regarding a location of the user communication device sent from the user communication device ; using information regarding the location of the user communication device to determine an Emergency Dispatch Center (EDC) to which to transmit an emergency message ; selecting a telephone number from the pool of direct inward dial telephone numbers ; associating the telephone number with the user communication device ; associating the telephone number with the location of the user communication device in real-time using an emergency service provisioning application programming interface (API) ; and utilizing the telephone number to provision emergency service for the user from the EDC . US20160088455A1 CLAIM 20 . An emergency management system (EMS) containing a communications system comprising : at least one first input/output (I/O) system configured to receive a request for assistance from a user communication device , the request including metadata providing an indication of a location of the user communication device and a type of emergency reported by a user of the user communication device ; and at least one processing unit in communication with the at least one first I/O system and configured to : receive an indication of the request from the at least one first I/O system and interpret the metadata transmitted from the user communication device ; communicate with a server of the EMS housing a memory unit including personal information (second persons) associated with the user via a communications network of the EMS , and read the personal information from the memory unit ; generate an emergency message related to an emergency category associated with the type of emergency reported by the user , the emergency message including information associated with the emergency category , an indication of the location of the user communication device , and the personal information of the user ; determine , based upon knowledge of the capabilities of a plurality of emergency dispatch centers and based upon the location of the user communication device , an emergency dispatch center that is equipped to receive the alert and whether the emergency dispatch center is configured to receive non-voice calls ; responsive to a determination that the emergency dispatch center is configured to receive non-voice calls and to a determination that the emergency message is in a non-voice format , to transmit the emergency message in the non-voice format to the emergency dispatch center ; and responsive to a determination that the emergency dispatch center is not configured to receive non-voice calls and to a determination that the emergency message is in a non-voice format , to convert the emergency message to a voice format and transmit the emergency message via a non-IP communication link to the emergency dispatch center ; wherein the EMS is configured to create a communications bridge between the user communication device and the emergency dispatch center .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person is at a first event ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20160088455A1 CLAIM 9 . The method of claim 1 , wherein the emergency messaging system : determines whether a reliable data connection to the dispatch center is available ; implements a VoIP session between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is available ; implements a cellular phone call (receiving second data) between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a reliable cellular connection between the user communication device and the dispatch center is available ; and implements a PSTN phone call between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a cellular phone call between the user communication device and the dispatch center failed to initiate and that a PSTN telephone connection between the user communication device and the dispatch center is available . US20160088455A1 CLAIM 21 . The system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS , and wherein the RSP is configured to communicate the emergency message to a network address of one of the plurality of emergency dispatch centers selected based on at least one of the emergency category and the location of the user communication device , at least one of the plurality of emergency dispatch centers being one of a police station , a fire house , a university-affiliated emergency dispatch center , a corporate emergency dispatch center , and a private emergency dispatch center .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2016044540A1 Filed: 2015-09-17 Issued: 2016-03-24 Method and system for emergency call management (Original Assignee) Rapidsos, Inc. Anil Mehta, Matthew BOZIK, Nicholas HORELIK, Michael J. Martin
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person has a contagion ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2016044540A1 CLAIM 9 . The method of claim 1 , wherein the emergency messaging system : determines whether a reliable data connection to the dispatch center is available ; implements a VoIP session between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is available ; implements a cellular phone call (receiving second data) between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a reliable cellular connection between the user communication device and the dispatch center is available ; and implements a PSTN phone call between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a cellular phone call between the user communication device and the dispatch center failed to initiate and that a PSTN telephone connection between the user communication device and the dispatch center is available . WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one second) is within a first contagious zone of a first signal (one second) tracking device .	WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (one second) and second data are real time data or historical data .	WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one second) is one or more of : within a strong proximity zone of a first signal (one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (touch screen) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS . WO2016044540A1 CLAIM 31 . The user communications device of claim 30 , wherein the user interface comprises a touch screen (medium proximity) and wherein each user-selectable emergency message indicator comprises a soft-button selectable by touching the touch screen in an area defined by a respective one of the soft-buttons .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (Short Message Service) relative to the second person .	WO2016044540A1 CLAIM 1 . A method of facilitating a reliable and persistent communication between a user of a user communication device and an emergency response dispatch center , the method comprising : receiving an emergency alert from the user communication device at an emergency messaging system ; constructing an emergency message that is based on the emergency alert and that includes at least one of an audio file , an interactive voice response (IVR) message , a Short Message Service (third person) (SMS) text message , a Multimedia Messaging Service (MMS) message , an e-mail message , an Instant Messaging (IM) message , and a message otherwise formatted for communication over the Internet ; establishing a first communication link , the first communication link including at least one of a communication link between the emergency messaging system and an emergency response dispatch center , a link between the emergency messaging system and a Routing Service Provider (RSP) and a communication link between the RSP and the dispatch center , and a communication link between the emergency response dispatch center and a first gateway and a communication link between the first gateway and the emergency messaging system ; establishing a second communication link , the second communication link including at least one of a communication link between the emergency messaging system and the user communication device , and a communication link between the emergency messaging system and a second gateway and between the second gateway and the user communication device ; bridging the first communication link and the second communication link ; routing the emergency message from the emergency messaging system to the dispatch center over the first communications link ; and actively managing the first and second communication links until a termination signal is received from the user communication device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (emergency communication, location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2016044540A1 CLAIM 15 . A method for providing emergency communication (negative proximity, negative proximity relationship) with an emergency messaging system , the method comprising : provisioning and maintaining a pool of direct inward dial telephone numbers at one or more gateways ; receiving , at a server of the emergency messaging system (EMS) remote from the user communication device , a transmission from the user communication device that indicates that a user of the user communication device is in an emergency ; receiving , at the EMS , metadata containing information regarding a location of the user communication device sent from the user communication device ; using information regarding the location of the user communication device to determine an Emergency Dispatch Center (EDC) to which to transmit an emergency message ; selecting a telephone number from the pool of direct inward dial telephone numbers ; associating the telephone number with the user communication device ; associating the telephone number with the location of the user communication device in real-time using an emergency service provisioning application programming interface (API) ; and utilizing the telephone number to provision emergency service for the user from the EDC . WO2016044540A1 CLAIM 16 . The method of claim 15 , wherein the emergency messaging system sends location information (negative proximity, negative proximity relationship) metadata to one of a number of APIs exposed by third-party Routing Service Providers (RSPs) and , in response to sending the location information metadata , receives , from the one of the number of APIs , an identity of an EDC and identifying information associated with the EDC , including location , infrastructure capabilities , and responder availability of the EDC .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (personal information, telephone number) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	WO2016044540A1 CLAIM 15 . A method for providing emergency communication with an emergency messaging system , the method comprising : provisioning and maintaining a pool of direct inward dial telephone number (second persons) s at one or more gateways ; receiving , at a server of the emergency messaging system (EMS) remote from the user communication device , a transmission from the user communication device that indicates that a user of the user communication device is in an emergency ; receiving , at the EMS , metadata containing information regarding a location of the user communication device sent from the user communication device ; using information regarding the location of the user communication device to determine an Emergency Dispatch Center (EDC) to which to transmit an emergency message ; selecting a telephone number from the pool of direct inward dial telephone numbers ; associating the telephone number with the user communication device ; associating the telephone number with the location of the user communication device in real-time using an emergency service provisioning application programming interface (API) ; and utilizing the telephone number to provision emergency service for the user from the EDC . WO2016044540A1 CLAIM 20 . An emergency management system (EMS) containing a communications system comprising : at least one first input/output (I/O) system configured to receive a request for assistance from a user communication device , the request including metadata providing an indication of a location of the user communication device and a type of emergency reported by a user of the user communication device ; and at least one processing unit in communication with the at least one first I/O system and configured to : receive an indication of the request from the at least one first I/O system and interpret the metadata transmitted from the user communication device ; communicate with a server of the EMS housing a memory unit including personal information (second persons) associated with the user via a communications network of the EMS , and read the personal information from the memory unit ; generate an emergency message related to an emergency category associated with the type of emergency reported by the user , the emergency message including information associated with the emergency category , an indication of the location of the user communication device , and the personal information of the user ; determine , based upon knowledge of the capabilities of a plurality of emergency dispatch centers and based upon the location of the user communication device , an emergency dispatch center that is equipped to receive the alert and whether the emergency dispatch center is configured to receive non- voice calls ; responsive to a determination that the emergency dispatch center is configured to receive non-voice calls and to a determination that the emergency message is in a non- voice format , to transmit the emergency message in the non- voice format to the emergency dispatch center ; and responsive to a determination that the emergency dispatch center is not configured to receive non-voice calls and to a determination that the emergency message is in a non- voice format , to convert the emergency message to a voice format and transmit the emergency message via a non-IP communication link to the emergency dispatch center .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person is at a first event ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2016044540A1 CLAIM 9 . The method of claim 1 , wherein the emergency messaging system : determines whether a reliable data connection to the dispatch center is available ; implements a VoIP session between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is available ; implements a cellular phone call (receiving second data) between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a reliable cellular connection between the user communication device and the dispatch center is available ; and implements a PSTN phone call between the dispatch center and the user communication device responsive to a determination that a reliable data connection to the dispatch center is not available and that a cellular phone call between the user communication device and the dispatch center failed to initiate and that a PSTN telephone connection between the user communication device and the dispatch center is available . WO2016044540A1 CLAIM 21 . The communications system of claim 20 , wherein the at least one processing unit is further configured to communicate the emergency message to at least one Routing Service Provider (RSP) over a communications network via at least one second (first data, first location, first signal, first signal tracking device) I/O system of the EMS .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150378584A1 Filed: 2015-09-04 Issued: 2015-12-31 Method and system for media selection and sharing (Original Assignee) Twitter Inc (Current Assignee) Twitter Inc Michael George Folgner, Ryan Brice Cunningham, Stephen Benjamin Weibel, Lamthuy Tran Nguyen
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20150378584A1 CLAIM 1 . A method comprising : receiving media content from a media source ; storing the media content in a buffer for a first time (first time) period ; determining a second time (second time) period within the first time period ; generating a media clip as determined by the second time period ; receiving a user input associated with the captured media clip ; associating the user input to take one or more effects on the media clip ; and transmitting the media clip enhanced with the one or more effects over a network .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20150378584A1 CLAIM 1 . A method comprising : receiving media content from a media source ; storing the media content in a buffer for a first time (first time) period ; determining a second time (second time) period within the first time period ; generating a media clip as determined by the second time period ; receiving a user input associated with the captured media clip ; associating the user input to take one or more effects on the media clip ; and transmitting the media clip enhanced with the one or more effects over a network .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20150378584A1 CLAIM 11 . A non-transitory computer readable medium having (medium timeframe) stored thereon computer-readable instructions , which instructions when executed by a processor cause the processor to perform operations comprising : receiving media content from a media source ; storing the media content in a buffer for a first time period ; determining a second time period within the first time period ; generating a media clip as determined by the second time period ; receiving a user input associated with the captured media clip ; associating the user input to take one or more effects on the media clip ; and transmitting the media clip enhanced with the one or more effects over a network .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20150378584A1 CLAIM 1 . A method comprising : receiving media content from a media source ; storing the media content in a buffer for a first time (first time) period ; determining a second time (second time) period within the first time period ; generating a media clip as determined by the second time period ; receiving a user input associated with the captured media clip ; associating the user input to take one or more effects on the media clip ; and transmitting the media clip enhanced with the one or more effects over a network .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	KR101602482B1 Filed: 2015-08-13 Issued: 2016-03-21 지리정보를 이용한 소방 관제시스템 및 그 제어방법 (Original Assignee) (주)아이넷테크 최영근
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (도면을) that has been provided to a server computing system .	KR101602482B1 CLAIM 9 센터의 위치와 장비 및 인력현황 , 공공기관의 위치와 건물도면 , 소방구조물의 위치와 종류 , 관할 센터가 설정된 소방대상물의 위치와 도면을 (signal tracking device) 등록하는 정보등록단계 ; 신고단말기로부터 신고가 접수되면 , 긴급 구조 항목중 설정된 항목으로 분류하여 신고자 및 구조위치와 긴급구조항목이 포함된 신규 접수정보를 생성하는 신고접수단계 ; 상기 신고접수단계에서 생성된 위치정보에 따라 출동대를 편성하고 , 출동대의 지원단말기에 구조위치와 , 출발지에서 구조위치까지의 이동경로가 포함된 출동지령을 송신하는 출동지령단계 ; 및 상기 출동지령단계 이후에 출동대의 현재 위치와 이동경로를 실시간 확인하여 상황관제정보에 출력하고 , 진행상황별로 서로 다른 아이콘으로서 전자지도에 출동대의 진행상황을 표시하는 실시간 상황관제단계를 포함하고 , 상기 신고접수단계는 신고단말기의 신고가 접수되면 , 상기 신고단말기의 정보와 , 위치를 수신하여 신규 접수 정보를 생성하는 신고자 위치확인단계 ; 구조위치를 확인 및 검색하여 위치정보를 생성하는 구조위치 검색단계 ; 전자지도에 신고자 및 구조위치를 표시하는 전자지도 맵핑단계 ; 구조위치 및 신고자 위치에 대한 변경과 긴급구조항목의 변경 여부를 판단하는 정보변경 판단단계 ; 상기 정보변경 판단단계에서 정보변경 신호가 수신되면 정보를 변경하는 수정단계 ; 및 상기 정보를 변경하는 수정단계에서 변경된 정보를 상황관제정보로 등록하는 정보등록단계를 포함하고 , 상기 맵핑단계는 상기 신규 접수 정보에서 구조위치가 입력되면 , 전자지도에서 검색된 위치가 자동으로 표시되도록 설정되고 , 상기 정보를 변경하는 수정단계는 상기 전자지도상에서 선택된 위치로 이전 입력된 정보가 자동으로 변경되고 , 상기 전자지도 맵핑단계는 신고자 위치와 구조위치 중 하나 이상을 중심으로 설정된 영역을 동일 재난 지역으로 표시하는 동보가 설정되는 지리정보를 이용한 소방관제시스템의 제어방법 .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (도면을) .	KR101602482B1 CLAIM 9 센터의 위치와 장비 및 인력현황 , 공공기관의 위치와 건물도면 , 소방구조물의 위치와 종류 , 관할 센터가 설정된 소방대상물의 위치와 도면을 (signal tracking device) 등록하는 정보등록단계 ; 신고단말기로부터 신고가 접수되면 , 긴급 구조 항목중 설정된 항목으로 분류하여 신고자 및 구조위치와 긴급구조항목이 포함된 신규 접수정보를 생성하는 신고접수단계 ; 상기 신고접수단계에서 생성된 위치정보에 따라 출동대를 편성하고 , 출동대의 지원단말기에 구조위치와 , 출발지에서 구조위치까지의 이동경로가 포함된 출동지령을 송신하는 출동지령단계 ; 및 상기 출동지령단계 이후에 출동대의 현재 위치와 이동경로를 실시간 확인하여 상황관제정보에 출력하고 , 진행상황별로 서로 다른 아이콘으로서 전자지도에 출동대의 진행상황을 표시하는 실시간 상황관제단계를 포함하고 , 상기 신고접수단계는 신고단말기의 신고가 접수되면 , 상기 신고단말기의 정보와 , 위치를 수신하여 신규 접수 정보를 생성하는 신고자 위치확인단계 ; 구조위치를 확인 및 검색하여 위치정보를 생성하는 구조위치 검색단계 ; 전자지도에 신고자 및 구조위치를 표시하는 전자지도 맵핑단계 ; 구조위치 및 신고자 위치에 대한 변경과 긴급구조항목의 변경 여부를 판단하는 정보변경 판단단계 ; 상기 정보변경 판단단계에서 정보변경 신호가 수신되면 정보를 변경하는 수정단계 ; 및 상기 정보를 변경하는 수정단계에서 변경된 정보를 상황관제정보로 등록하는 정보등록단계를 포함하고 , 상기 맵핑단계는 상기 신규 접수 정보에서 구조위치가 입력되면 , 전자지도에서 검색된 위치가 자동으로 표시되도록 설정되고 , 상기 정보를 변경하는 수정단계는 상기 전자지도상에서 선택된 위치로 이전 입력된 정보가 자동으로 변경되고 , 상기 전자지도 맵핑단계는 신고자 위치와 구조위치 중 하나 이상을 중심으로 설정된 영역을 동일 재난 지역으로 표시하는 동보가 설정되는 지리정보를 이용한 소방관제시스템의 제어방법 .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (도면을) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	KR101602482B1 CLAIM 9 센터의 위치와 장비 및 인력현황 , 공공기관의 위치와 건물도면 , 소방구조물의 위치와 종류 , 관할 센터가 설정된 소방대상물의 위치와 도면을 (signal tracking device) 등록하는 정보등록단계 ; 신고단말기로부터 신고가 접수되면 , 긴급 구조 항목중 설정된 항목으로 분류하여 신고자 및 구조위치와 긴급구조항목이 포함된 신규 접수정보를 생성하는 신고접수단계 ; 상기 신고접수단계에서 생성된 위치정보에 따라 출동대를 편성하고 , 출동대의 지원단말기에 구조위치와 , 출발지에서 구조위치까지의 이동경로가 포함된 출동지령을 송신하는 출동지령단계 ; 및 상기 출동지령단계 이후에 출동대의 현재 위치와 이동경로를 실시간 확인하여 상황관제정보에 출력하고 , 진행상황별로 서로 다른 아이콘으로서 전자지도에 출동대의 진행상황을 표시하는 실시간 상황관제단계를 포함하고 , 상기 신고접수단계는 신고단말기의 신고가 접수되면 , 상기 신고단말기의 정보와 , 위치를 수신하여 신규 접수 정보를 생성하는 신고자 위치확인단계 ; 구조위치를 확인 및 검색하여 위치정보를 생성하는 구조위치 검색단계 ; 전자지도에 신고자 및 구조위치를 표시하는 전자지도 맵핑단계 ; 구조위치 및 신고자 위치에 대한 변경과 긴급구조항목의 변경 여부를 판단하는 정보변경 판단단계 ; 상기 정보변경 판단단계에서 정보변경 신호가 수신되면 정보를 변경하는 수정단계 ; 및 상기 정보를 변경하는 수정단계에서 변경된 정보를 상황관제정보로 등록하는 정보등록단계를 포함하고 , 상기 맵핑단계는 상기 신규 접수 정보에서 구조위치가 입력되면 , 전자지도에서 검색된 위치가 자동으로 표시되도록 설정되고 , 상기 정보를 변경하는 수정단계는 상기 전자지도상에서 선택된 위치로 이전 입력된 정보가 자동으로 변경되고 , 상기 전자지도 맵핑단계는 신고자 위치와 구조위치 중 하나 이상을 중심으로 설정된 영역을 동일 재난 지역으로 표시하는 동보가 설정되는 지리정보를 이용한 소방관제시스템의 제어방법 .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (반경을) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	KR101602482B1 CLAIM 1 센터별 장비 및 인원 현황정보와 , 소방구조물 주소와 , 긴급구조가 접수된 구조위치와 , 신고자의 위치와 , 출동대의 위치와 , 출동대의 구조 현황정보가 설정된 아이콘으로서 전자지도상에 표시되는 상황관제정보를 실시간 갱신하는 상황단말기 ; 출동대의 차량에 탑재되어 상기 상황단말기의 출동지령을 수신하여 출동대의 출동전과 후 , 구조상황과 현재 위치정보를 실시간 송신하는 지원단말기 ; 및 상기 상황단말기에 상기 지원단말기의 현재 위치정보와 , 신고단말기의 위치와 구조위치 정보를 송신하는 위치정보서버를 포함하고 , 상기 상황단말기는 상기 신고단말기의 현재 위치를 전자지도상에 표시하는 신고자 위치 표시모듈 ; 상기 신고단말기의 신고 접수 정보에 기록된 구조위치를 전자지도에서 표시하는 구조위치표시모듈 ; 상기 상황관제정보에서 표시되는 각 항목별로 설정된 아이콘을 생성하여 상기 상황관제정보에 출력하는 아이콘표시모듈 ; 상기 상황관제정보에 표시되는 신고자의 위치 , 구조위치 , 출동대의 위치를 신규 입력된 위치로 변경하여 표시하는 위치변경모듈 ; 상기 출동대 또는 지원단말기의 현재 위치에서 구조위치까지의 이동경로를 탐색하는 경로탐색모듈 ; 및 상기 경로탐색모듈에서 탐색된 이동경로의 궤적을 전자지도에 생성하고 , 상기 위치정보서버에서 실시간으로 수신되는 상기 지원단말기 또는 출동대의 위치에 따라서 남은 이동경로를 연산하여 실시간으로 궤적을 갱신하는 궤적연산모듈 ; 을 포함하고 , 상기 위치변경모듈은 신고자 위치와 구조위치 중 선택된 어느 하나에서 설정된 반경을 (performing one) 갖고 동일 재난 지역을 표시하는 동보를 설정 및 해제하는 것을 특징으로 하는 지리정보를 이용한 소방관제시스템 .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20160050550A1 Filed: 2015-07-08 Issued: 2016-02-18 System and Method for Call Management (Original Assignee) 4 Taps LLC (Current Assignee) Rapidsos Inc Preet ANAND, Peter Antypas, Motiejus OSIPOVAS
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (graphical information) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20160050550A1 CLAIM 7 . The device of claim 1 , wherein the device is further cause to delay sending the message while updating the location information with geographical information (first time, proximity time) about a nearby radio beacon .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (graphical information) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20160050550A1 CLAIM 7 . The device of claim 1 , wherein the device is further cause to delay sending the message while updating the location information with geographical information (first time, proximity time) about a nearby radio beacon .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (graphical information) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20160050550A1 CLAIM 7 . The device of claim 1 , wherein the device is further cause to delay sending the message while updating the location information with geographical information (first time, proximity time) about a nearby radio beacon .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20160050550A1 CLAIM 1 . A device operable to communicate with a network , the device comprising : at least one processor ; at least one receiver operably connected to the at least one processor ; and at least one memory operably connected to the at least one processor , wherein the at least one memory includes instructions that , when executed by the processor , cause the device to : generate a message that includes location information (negative proximity) about the device ; and send the message to a call handler .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (graphical information) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20160050550A1 CLAIM 7 . The device of claim 1 , wherein the device is further cause to delay sending the message while updating the location information with geographical information (first time, proximity time) about a nearby radio beacon .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9277389B2 Filed: 2015-06-24 Issued: 2016-03-01 Personal security system (Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc Ghen Saito, Rodger Desai, Raju Rishi
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9277389B2 CLAIM 1 . A method for providing assistance to each of a plurality of users , each of said users having been enrolled as a member of a community , said method comprising receiving , at a server , a first communication from a first mobile device associated with a first distressed user from said plurality of users , said first distressed user having been enrolled as a member of a first community , said first mobile device being at a first location (first location) , said first location being associated with a first designated party for receiving emergency calls originating from said first location , receiving , at a server , a second communication from a second mobile device associated with a second distressed user from said plurality of users , said second distressed user having been enrolled as a member of said first community , said second mobile device being at a second location (second location) , said second location being associated with a second designated party for receiving emergency calls originating from said second location , said second designated party being different from said first designated party , in response to said first communication , causing said server to initiate communication with said first designated party wherein said first designated party is different from said second designated party , wherein said first designated party is designated to receive emergency communications from members of said first community , in response to said second communication , causing said server to initiate communication with said first designated party , displaying , to said first designated party , information characterizing said first distressed user , displaying , to said first designated party , information characterizing said second distressed user , in response to said first communication , sending a communication from said first designated party to said first mobile device , and in response to said second communication , sending a communication from said first designated party to said second mobile device .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first location) is within a first contagious zone of a first signal tracking device .	US9277389B2 CLAIM 1 . A method for providing assistance to each of a plurality of users , each of said users having been enrolled as a member of a community , said method comprising receiving , at a server , a first communication from a first mobile device associated with a first distressed user from said plurality of users , said first distressed user having been enrolled as a member of a first community , said first mobile device being at a first location (first location) , said first location being associated with a first designated party for receiving emergency calls originating from said first location , receiving , at a server , a second communication from a second mobile device associated with a second distressed user from said plurality of users , said second distressed user having been enrolled as a member of said first community , said second mobile device being at a second location , said second location being associated with a second designated party for receiving emergency calls originating from said second location , said second designated party being different from said first designated party , in response to said first communication , causing said server to initiate communication with said first designated party wherein said first designated party is different from said second designated party , wherein said first designated party is designated to receive emergency communications from members of said first community , in response to said second communication , causing said server to initiate communication with said first designated party , displaying , to said first designated party , information characterizing said first distressed user , displaying , to said first designated party , information characterizing said second distressed user , in response to said first communication , sending a communication from said first designated party to said first mobile device , and in response to said second communication , sending a communication from said first designated party to said second mobile device .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first location) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US9277389B2 CLAIM 1 . A method for providing assistance to each of a plurality of users , each of said users having been enrolled as a member of a community , said method comprising receiving , at a server , a first communication from a first mobile device associated with a first distressed user from said plurality of users , said first distressed user having been enrolled as a member of a first community , said first mobile device being at a first location (first location) , said first location being associated with a first designated party for receiving emergency calls originating from said first location , receiving , at a server , a second communication from a second mobile device associated with a second distressed user from said plurality of users , said second distressed user having been enrolled as a member of said first community , said second mobile device being at a second location , said second location being associated with a second designated party for receiving emergency calls originating from said second location , said second designated party being different from said first designated party , in response to said first communication , causing said server to initiate communication with said first designated party wherein said first designated party is different from said second designated party , wherein said first designated party is designated to receive emergency communications from members of said first community , in response to said second communication , causing said server to initiate communication with said first designated party , displaying , to said first designated party , information characterizing said first distressed user , displaying , to said first designated party , information characterizing said second distressed user , in response to said first communication , sending a communication from said first designated party to said first mobile device , and in response to said second communication , sending a communication from said first designated party to said second mobile device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (emergency communication) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US9277389B2 CLAIM 1 . A method for providing assistance to each of a plurality of users , each of said users having been enrolled as a member of a community , said method comprising receiving , at a server , a first communication from a first mobile device associated with a first distressed user from said plurality of users , said first distressed user having been enrolled as a member of a first community , said first mobile device being at a first location , said first location being associated with a first designated party for receiving emergency calls originating from said first location , receiving , at a server , a second communication from a second mobile device associated with a second distressed user from said plurality of users , said second distressed user having been enrolled as a member of said first community , said second mobile device being at a second location , said second location being associated with a second designated party for receiving emergency calls originating from said second location , said second designated party being different from said first designated party , in response to said first communication , causing said server to initiate communication with said first designated party wherein said first designated party is different from said second designated party , wherein said first designated party is designated to receive emergency communication (negative proximity, negative proximity relationship) s from members of said first community , in response to said second communication , causing said server to initiate communication with said first designated party , displaying , to said first designated party , information characterizing said first distressed user , displaying , to said first designated party , information characterizing said second distressed user , in response to said first communication , sending a communication from said first designated party to said first mobile device , and in response to said second communication , sending a communication from said first designated party to said second mobile device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9277389B2 CLAIM 1 . A method for providing assistance to each of a plurality of users , each of said users having been enrolled as a member of a community , said method comprising receiving , at a server , a first communication from a first mobile device associated with a first distressed user from said plurality of users , said first distressed user having been enrolled as a member of a first community , said first mobile device being at a first location (first location) , said first location being associated with a first designated party for receiving emergency calls originating from said first location , receiving , at a server , a second communication from a second mobile device associated with a second distressed user from said plurality of users , said second distressed user having been enrolled as a member of said first community , said second mobile device being at a second location (second location) , said second location being associated with a second designated party for receiving emergency calls originating from said second location , said second designated party being different from said first designated party , in response to said first communication , causing said server to initiate communication with said first designated party wherein said first designated party is different from said second designated party , wherein said first designated party is designated to receive emergency communications from members of said first community , in response to said second communication , causing said server to initiate communication with said first designated party , displaying , to said first designated party , information characterizing said first distressed user , displaying , to said first designated party , information characterizing said second distressed user , in response to said first communication , sending a communication from said first designated party to said first mobile device , and in response to said second communication , sending a communication from said first designated party to said second mobile device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104715286A Filed: 2015-04-08 Issued: 2015-06-17 确定订单起点的方法和设备 (Original Assignee) 北京嘀嘀无限科技发展有限公司秦凯杰
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104715286A CLAIM 1 . 一种用于确定订单起点的方法，包括 : 获取当前订单的发送者的位置信息；获取给定时间段 (proximity time period) 内与所述位置信息相关的历史订单；以及基于所述历史订单，重新确定所述当前订单的起始位置。 CN104715286A CLAIM 5 . 根据权利要求1所述的方法，还包括 : 计算所述起始位置和所述当前订单的接收 (receiving first data, receiving second data) 者之间的距离。
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (时间段) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CN104715286A CLAIM 1 . 一种用于确定订单起点的方法，包括 : 获取当前订单的发送者的位置信息；获取给定时间段 (proximity time period) 内与所述位置信息相关的历史订单；以及基于所述历史订单，重新确定所述当前订单的起始位置。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104715286A CLAIM 1 . 一种用于确定订单起点的方法，包括 : 获取当前订单的发送者的位置信息；获取给定时间段 (proximity time period) 内与所述位置信息相关的历史订单；以及基于所述历史订单，重新确定所述当前订单的起始位置。 CN104715286A CLAIM 5 . 根据权利要求1所述的方法，还包括 : 计算所述起始位置和所述当前订单的接收 (receiving first data, receiving second data) 者之间的距离。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104657933A Filed: 2015-03-04 Issued: 2015-05-27 用于通知订单供需密度的方法及设备 (Original Assignee) 北京嘀嘀无限科技发展有限公司温一刚
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (的动态) that has been provided to a server computing system .	CN104657933A CLAIM 6 . 根据权利要求5所述的方法，其中基于当前时段的前一时段内的动态 (signal tracking device) 潜在订单接收方的数量和所述地理区域内的当前路况信息，确定所述动态潜在订单接收方的数量。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (的动态) .	CN104657933A CLAIM 6 . 根据权利要求5所述的方法，其中基于当前时段的前一时段内的动态 (signal tracking device) 潜在订单接收方的数量和所述地理区域内的当前路况信息，确定所述动态潜在订单接收方的数量。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (的动态) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN104657933A CLAIM 6 . 根据权利要求5所述的方法，其中基于当前时段的前一时段内的动态 (signal tracking device) 潜在订单接收方的数量和所述地理区域内的当前路况信息，确定所述动态潜在订单接收方的数量。
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons ; and modeling spread (用于发送) of the contagion based on facts of the contagion and the proximity relationships .	CN104657933A CLAIM 9 . 一种用于通知订单供需密度的设备，包括：第一获取装置，用于获取地理区域内的潜在订单发起方的第一数量；第二获取装置，用于获取所述地理区域内的潜在订单接收方的第二数量；第一确定装置，用于根据所述第一数量和所述第二数量，确定所述地理区域内的订单供需密度；以及发送装置，用于发送 (modeling spread) 所述订单供需密度。
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread (用于发送) of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	CN104657933A CLAIM 9 . 一种用于通知订单供需密度的设备，包括：第一获取装置，用于获取地理区域内的潜在订单发起方的第一数量；第二获取装置，用于获取所述地理区域内的潜在订单接收方的第二数量；第一确定装置，用于根据所述第一数量和所述第二数量，确定所述地理区域内的订单供需密度；以及发送装置，用于发送 (modeling spread) 所述订单供需密度。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9235974B2 Filed: 2015-01-30 Issued: 2016-01-12 System for providing real time locating and gas exposure monitoring (Original Assignee) Accenture Global Services Ltd (Current Assignee) Accenture Global Services GmbH ; Accenture Global Services Ltd Ernest K Johnson, Jr., Mark J. Davisson
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9235974B2 CLAIM 1 . A computer-implemented method for providing real time locating and gas exposure monitoring , the method comprising : receiving , by a hazard detection system , a first gas exposure identifier and a first location (first location) identifier from a first device ; identifying a work zone of the first device based on the first location identifier ; identifying a concentration of gas detected by the first device in the work zone based on the first gas exposure identifier ; receiving , by the hazard detection system , a second location (second location) identifier from a second device ; identifying the second device as being in the work zone based on the second location identifier ; and transmitting alert information to the second device in response to the second device being in the work zone and the concentration of gas detected by the first device at the work zone being above a set amount .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first location) is within a first contagious zone of a first signal (first gas) tracking device .	US9235974B2 CLAIM 1 . A computer-implemented method for providing real time locating and gas exposure monitoring , the method comprising : receiving , by a hazard detection system , a first gas (first signal) exposure identifier and a first location (first location) identifier from a first device ; identifying a work zone of the first device based on the first location identifier ; identifying a concentration of gas detected by the first device in the work zone based on the first gas exposure identifier ; receiving , by the hazard detection system , a second location identifier from a second device ; identifying the second device as being in the work zone based on the second location identifier ; and transmitting alert information to the second device in response to the second device being in the work zone and the concentration of gas detected by the first device at the work zone being above a set amount .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first location) is one or more of : within a strong proximity zone of a first signal (first gas) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US9235974B2 CLAIM 1 . A computer-implemented method for providing real time locating and gas exposure monitoring , the method comprising : receiving , by a hazard detection system , a first gas (first signal) exposure identifier and a first location (first location) identifier from a first device ; identifying a work zone of the first device based on the first location identifier ; identifying a concentration of gas detected by the first device in the work zone based on the first gas exposure identifier ; receiving , by the hazard detection system , a second location identifier from a second device ; identifying the second device as being in the work zone based on the second location identifier ; and transmitting alert information to the second device in response to the second device being in the work zone and the concentration of gas detected by the first device at the work zone being above a set amount .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (first location) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (second location) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9235974B2 CLAIM 1 . A computer-implemented method for providing real time locating and gas exposure monitoring , the method comprising : receiving , by a hazard detection system , a first gas exposure identifier and a first location (first location) identifier from a first device ; identifying a work zone of the first device based on the first location identifier ; identifying a concentration of gas detected by the first device in the work zone based on the first gas exposure identifier ; receiving , by the hazard detection system , a second location (second location) identifier from a second device ; identifying the second device as being in the work zone based on the second location identifier ; and transmitting alert information to the second device in response to the second device being in the work zone and the concentration of gas detected by the first device at the work zone being above a set amount .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104599217A Filed: 2015-01-27 Issued: 2015-05-06 用于确定乘客的当前目的地的方法及设备 (Original Assignee) 北京嘀嘀无限科技发展有限公司卓呈祥
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (第一距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104599217A CLAIM 3 . 根据权利要求2所述的方法，其中基于所述距离，对与所述历史始发地对应的历史目的地赋予置信度包括 : 基于所述距离、所述历史订单的发布时间与当前时间的时间差和/或所述当前时间所归属的时间段 (proximity time period) ，对与所述历史始发地对应的所述历史目的地赋予置信度。 CN104599217A CLAIM 8 . 根据权利要求1至6中任一项所述的方法，在获取所述乘客的当前始发地之前，还包括 : 确定所述乘客的历史订单中的第一历史订单中的第一历史始发地和所述乘客的历史订单中的第二历史订单中的第二历史始发地之间的距离小于第一距离 (proximity distance) 阈值，并且确定第一历史订单中的第一历史目的地和所述第二历史订单中的第二历史目的地之间的距离小于第二距离阈值；以及将所述第一历史始发地和所述第二历史始发地之间的第一中间点确定为经合并的历史订单的始发地，并且将所述第一历史目的地和所述第二历史目的地之间的第二中间点确定为经合并的历史订单的目的地。
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (时间段) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CN104599217A CLAIM 3 . 根据权利要求2所述的方法，其中基于所述距离，对与所述历史始发地对应的历史目的地赋予置信度包括 : 基于所述距离、所述历史订单的发布时间与当前时间的时间差和/或所述当前时间所归属的时间段 (proximity time period) ，对与所述历史始发地对应的所述历史目的地赋予置信度。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (第一距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (时间段) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104599217A CLAIM 3 . 根据权利要求2所述的方法，其中基于所述距离，对与所述历史始发地对应的历史目的地赋予置信度包括 : 基于所述距离、所述历史订单的发布时间与当前时间的时间差和/或所述当前时间所归属的时间段 (proximity time period) ，对与所述历史始发地对应的所述历史目的地赋予置信度。 CN104599217A CLAIM 8 . 根据权利要求1至6中任一项所述的方法，在获取所述乘客的当前始发地之前，还包括 : 确定所述乘客的历史订单中的第一历史订单中的第一历史始发地和所述乘客的历史订单中的第二历史订单中的第二历史始发地之间的距离小于第一距离 (proximity distance) 阈值，并且确定第一历史订单中的第一历史目的地和所述第二历史订单中的第二历史目的地之间的距离小于第二距离阈值；以及将所述第一历史始发地和所述第二历史始发地之间的第一中间点确定为经合并的历史订单的始发地，并且将所述第一历史目的地和所述第二历史目的地之间的第二中间点确定为经合并的历史订单的目的地。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104660802A Filed: 2015-01-05 Issued: 2015-05-27 一种终端 (Original Assignee) 深圳市金立通信设备有限公司卢伟冰
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (单元判断) regarding a first person at a first location at a first time (单元的) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104660802A CLAIM 6 . 根据权利要求5所述的终端，其特征在于，所述输出单元还包括 : 判断单元，用于当所述查询单元的 (first time) 查询结果为否时，判断终端是否具有访问外部数据资源的权限；下载单元，用于当所述判断单元判断 (receiving first data) 所述终端具有访问外部数据资源的权限时，从所述外部数据资源中下载所述目标联系人的位置信息所在区域的地图；所述显示单元，还用于显示所述下载单元下载的所述目标联系人的位置信息所在区域的地图，并在所述目标联系人的位置信息所在区域的地图中标记所述目标联系人的位置信息。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (单元的) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN104660802A CLAIM 6 . 根据权利要求5所述的终端，其特征在于，所述输出单元还包括 : 判断单元，用于当所述查询单元的 (first time) 查询结果为否时，判断终端是否具有访问外部数据资源的权限；下载单元，用于当所述判断单元判断所述终端具有访问外部数据资源的权限时，从所述外部数据资源中下载所述目标联系人的位置信息所在区域的地图；所述显示单元，还用于显示所述下载单元下载的所述目标联系人的位置信息所在区域的地图，并在所述目标联系人的位置信息所在区域的地图中标记所述目标联系人的位置信息。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (单元判断) regarding a first person at a first location at a first time (单元的) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104660802A CLAIM 6 . 根据权利要求5所述的终端，其特征在于，所述输出单元还包括 : 判断单元，用于当所述查询单元的 (first time) 查询结果为否时，判断终端是否具有访问外部数据资源的权限；下载单元，用于当所述判断单元判断 (receiving first data) 所述终端具有访问外部数据资源的权限时，从所述外部数据资源中下载所述目标联系人的位置信息所在区域的地图；所述显示单元，还用于显示所述下载单元下载的所述目标联系人的位置信息所在区域的地图，并在所述目标联系人的位置信息所在区域的地图中标记所述目标联系人的位置信息。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2015097314A1 Filed: 2015-01-05 Issued: 2015-07-02 Localisation system (Original Assignee) Televic Healthcare Nv Pieter Crombez, John Gesquiere
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance (magnetic field) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2015097314A1 CLAIM 1 . A method for detecting a first tag (100) in an area monitored by one or more beacons (200) , the first tag (100) comprising a magnetic induction module (121) and a transmitter (140) , the method comprising the following steps (second time, performing one) at said tag : - receiving , by means of said magnetic induction module , a first beacon message as variations in a magnetic field (proximity distance) , said first beacon message comprising beacon information ; - extracting said beacon information from said first beacon message ; - conditionally on said beacon information , transmitting a localisation message by means of said transmitter (140) , wherein said beacon information comprises operating range information , the method further comprising : conditionally on said operating range information , reducing a sensitivity of said magnetic induction module (121) .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (following steps) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	WO2015097314A1 CLAIM 1 . A method for detecting a first tag (100) in an area monitored by one or more beacons (200) , the first tag (100) comprising a magnetic induction module (121) and a transmitter (140) , the method comprising the following steps (second time, performing one) at said tag : - receiving , by means of said magnetic induction module , a first beacon message as variations in a magnetic field , said first beacon message comprising beacon information ; - extracting said beacon information from said first beacon message ; - conditionally on said beacon information , transmitting a localisation message by means of said transmitter (140) , wherein said beacon information comprises operating range information , the method further comprising : conditionally on said operating range information , reducing a sensitivity of said magnetic induction module (121) .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (more zones) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2015097314A1 CLAIM 3 . The method according to any of the preceding claims , wherein said first beacon message is broadcast by one of said beacons (200) , said one of said beacons being located in a zone , wherein said beacon information comprises information pertaining to said zone , and wherein said conditionally transmitting a localisation message comprises comparing said information to one or more zones (medium proximity zone) stored on said first tag (100) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (following steps) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2015097314A1 CLAIM 1 . A method for detecting a first tag (100) in an area monitored by one or more beacons (200) , the first tag (100) comprising a magnetic induction module (121) and a transmitter (140) , the method comprising the following steps (second time, performing one) at said tag : - receiving , by means of said magnetic induction module , a first beacon message as variations in a magnetic field , said first beacon message comprising beacon information ; - extracting said beacon information from said first beacon message ; - conditionally on said beacon information , transmitting a localisation message by means of said transmitter (140) , wherein said beacon information comprises operating range information , the method further comprising : conditionally on said operating range information , reducing a sensitivity of said magnetic induction module (121) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance (magnetic field) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2015097314A1 CLAIM 1 . A method for detecting a first tag (100) in an area monitored by one or more beacons (200) , the first tag (100) comprising a magnetic induction module (121) and a transmitter (140) , the method comprising the following steps (second time, performing one) at said tag : - receiving , by means of said magnetic induction module , a first beacon message as variations in a magnetic field (proximity distance) , said first beacon message comprising beacon information ; - extracting said beacon information from said first beacon message ; - conditionally on said beacon information , transmitting a localisation message by means of said transmitter (140) , wherein said beacon information comprises operating range information , the method further comprising : conditionally on said operating range information , reducing a sensitivity of said magnetic induction module (121) .

CN104571036A

Filed: 2014-12-29 Issued: 2015-04-29

智能家居开启方法及装置

(Original Assignee) 小米科技有限责任公司

王阳, 傅强, 张斌

US10198779B2
CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (检测到) to travel away from a contagion zone ;

providing travel instructions to a safe zone ;

modulating traffic lights (网络连) on the predicted travel route .

CN104571036A
CLAIM 1 . 一种智能家居开启方法，其特征在于，应用于网络侧，包括 : 当终端与出发地网络断开网络连 (traffic lights) 接时，预测所述终端的目的地及到达所述目的地的到达时间；根据所述到达时间，确定目的地预设智能家居的开启时间；当到达所述开启时间时，开启所述预设的智能家居。

CN104571036A
CLAIM 2 . 根据权利要求1所述的方法，其特征在于，所述当终端与出发地网络断开网络连接时，预测所述终端的目的地及到达所述目的地的到达时间，包括 : 检测到 (providing travel instructions) 终端与出发地网络断开时间超过时间阈值后，获取终端与出发地网络断开网络连接的断开时间；根据所述断开时间及预先学习的用户行为数据，确定所述终端的目的地及到达所述目的地的到达时间。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN104442825A Filed: 2014-11-28 Issued: 2015-03-25 一种电动汽车剩余行驶里程的预测方法和系统 (Original Assignee) 上海交通大学; 上海紫竹新兴产业技术研究院李杰, 刘宗长, 张志刚
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (单元的) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN104442825A CLAIM 9 . 一种如权利要求1〜8中任意一种预测方法所使用的电动汽车剩余行驶里程的预测系统，其特征在于，包括 : 驾驶者输入目的地信息获取单元，用于获取驾驶者输入目的地信息；真实世界信息获取单元，用于获取真实世界信息；电动汽车信息获取单元，用于获取电动汽车信息；云端服务器，所述驾驶者输入目的地信息获取单元、所述真实世界信息获取单元和所述电动汽车信息获取单元分别与所述云端服务器连接，并分别将所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息输送至所述云端服务器；所述云端服务器存储有历史驾驶行为，所述云端服务器根据所述历史驾驶行为、所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息计算出电动汽车的最佳路径、剩余行驶里程、抵达目的地时的剩余电量，并给出充电地点和时间规划、驾驶模式建议；显示单元，所述显示单元与所述云端服务器连接，用于显示所述云端服务器的计算结果，所述显示单元的 (first time) 显示信息包括所述电动汽车的最佳路径、所述剩余行驶里程、平均单位距离能耗量、静止状态单位时间能耗量、所述抵达目的地时的剩余电量、所述充电地点和时间规划、所述驾驶模式建议。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (计算结果) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	CN104442825A CLAIM 9 . 一种如权利要求1〜8中任意一种预测方法所使用的电动汽车剩余行驶里程的预测系统，其特征在于，包括 : 驾驶者输入目的地信息获取单元，用于获取驾驶者输入目的地信息；真实世界信息获取单元，用于获取真实世界信息；电动汽车信息获取单元，用于获取电动汽车信息；云端服务器，所述驾驶者输入目的地信息获取单元、所述真实世界信息获取单元和所述电动汽车信息获取单元分别与所述云端服务器连接，并分别将所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息输送至所述云端服务器；所述云端服务器存储有历史驾驶行为，所述云端服务器根据所述历史驾驶行为、所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息计算出电动汽车的最佳路径、剩余行驶里程、抵达目的地时的剩余电量，并给出充电地点和时间规划、驾驶模式建议；显示单元，所述显示单元与所述云端服务器连接，用于显示所述云端服务器的计算结果 (mobile computing device) ，所述显示单元的显示信息包括所述电动汽车的最佳路径、所述剩余行驶里程、平均单位距离能耗量、静止状态单位时间能耗量、所述抵达目的地时的剩余电量、所述充电地点和时间规划、所述驾驶模式建议。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (单元的) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN104442825A CLAIM 9 . 一种如权利要求1〜8中任意一种预测方法所使用的电动汽车剩余行驶里程的预测系统，其特征在于，包括 : 驾驶者输入目的地信息获取单元，用于获取驾驶者输入目的地信息；真实世界信息获取单元，用于获取真实世界信息；电动汽车信息获取单元，用于获取电动汽车信息；云端服务器，所述驾驶者输入目的地信息获取单元、所述真实世界信息获取单元和所述电动汽车信息获取单元分别与所述云端服务器连接，并分别将所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息输送至所述云端服务器；所述云端服务器存储有历史驾驶行为，所述云端服务器根据所述历史驾驶行为、所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息计算出电动汽车的最佳路径、剩余行驶里程、抵达目的地时的剩余电量，并给出充电地点和时间规划、驾驶模式建议；显示单元，所述显示单元与所述云端服务器连接，用于显示所述云端服务器的计算结果，所述显示单元的 (first time) 显示信息包括所述电动汽车的最佳路径、所述剩余行驶里程、平均单位距离能耗量、静止状态单位时间能耗量、所述抵达目的地时的剩余电量、所述充电地点和时间规划、所述驾驶模式建议。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (单元的) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN104442825A CLAIM 9 . 一种如权利要求1〜8中任意一种预测方法所使用的电动汽车剩余行驶里程的预测系统，其特征在于，包括 : 驾驶者输入目的地信息获取单元，用于获取驾驶者输入目的地信息；真实世界信息获取单元，用于获取真实世界信息；电动汽车信息获取单元，用于获取电动汽车信息；云端服务器，所述驾驶者输入目的地信息获取单元、所述真实世界信息获取单元和所述电动汽车信息获取单元分别与所述云端服务器连接，并分别将所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息输送至所述云端服务器；所述云端服务器存储有历史驾驶行为，所述云端服务器根据所述历史驾驶行为、所述驾驶者输入目的地信息、所述真实世界信息和所述电动汽车信息计算出电动汽车的最佳路径、剩余行驶里程、抵达目的地时的剩余电量，并给出充电地点和时间规划、驾驶模式建议；显示单元，所述显示单元与所述云端服务器连接，用于显示所述云端服务器的计算结果，所述显示单元的 (first time) 显示信息包括所述电动汽车的最佳路径、所述剩余行驶里程、平均单位距离能耗量、静止状态单位时间能耗量、所述抵达目的地时的剩余电量、所述充电地点和时间规划、所述驾驶模式建议。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2015018309A1 Filed: 2014-08-05 Issued: 2015-02-12 Location-based taxi information communication service system, terminals and method (Original Assignee) Tencent Technology (Shenzhen) Company Limited Gang Cheng
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (second information) .	WO2015018309A1 CLAIM 13 . A location-based taxi information communication system comprising a service system , a taxi information application terminal and a potential passenger information application terminal , wherein the taxi information application terminal is configured to report first information to the service system , receive a notification message from the server system and output the notification message , the first information comprising an identification , a location , and empty-driving information of the taxi ; wherein the potential passenger information application terminal is configured to report second information (first signal tracking device) to the service system , receive a notification message from the server system and output the notification message , the second information comprising a call request , an identification , and a location of the potential passenger ; and wherein the service system is configured to receive and record the first information and the second information from the taxi information application terminal and the potential passenger information application terminal , and determine corresponding time information ; count empty-driving taxis and potential passengers at specified time and at a specified location according to the time information and the location information ; analyze numbers of the counted empty-driving taxis and potential passengers to generate a corresponding notification message ; and send the notification message to the taxi information application terminal and the potential passenger information application terminal .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (second information) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2015018309A1 CLAIM 13 . A location-based taxi information communication system comprising a service system , a taxi information application terminal and a potential passenger information application terminal , wherein the taxi information application terminal is configured to report first information to the service system , receive a notification message from the server system and output the notification message , the first information comprising an identification , a location , and empty-driving information of the taxi ; wherein the potential passenger information application terminal is configured to report second information (first signal tracking device) to the service system , receive a notification message from the server system and output the notification message , the second information comprising a call request , an identification , and a location of the potential passenger ; and wherein the service system is configured to receive and record the first information and the second information from the taxi information application terminal and the potential passenger information application terminal , and determine corresponding time information ; count empty-driving taxis and potential passengers at specified time and at a specified location according to the time information and the location information ; analyze numbers of the counted empty-driving taxis and potential passengers to generate a corresponding notification message ; and send the notification message to the taxi information application terminal and the potential passenger information application terminal .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2015018309A1 CLAIM 1 . A location-based taxi information communication service system , comprising : an information receiving module configured to receive an identification , a location , and empty-driving information of a taxi reported from a taxi terminal , and determine corresponding time information , the information receiving module being further configured to receive a call request , an identification , and a location of a potential passenger reported from a potential passenger terminal , and determine corresponding time information ; an information storing module configured to store the identification , location , empty-driving information and time information of the taxi , and to store the call request , identification , location and time information of the potential passenger ; an information analyzing module configured to count empty-driving taxis and potential passengers at specified time and at a specified location according to the time information and the location information (negative proximity) , and to analyze numbers of the counted empty-driving taxis and potential passengers to generate a corresponding notification message ; and an information notifying module configured to send the notification message to the taxi terminal and the potential passenger terminal .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150365319A1 Filed: 2014-06-13 Issued: 2015-12-17 Active/Static Path Redundancy (Original Assignee) Cisco Technology Inc (Current Assignee) Cisco Technology Inc Norman W. Finn
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data (first data) path , a second data (second data) path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (first data) and second data (second data) is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data (first data) path , a second data (second data) path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (first data) and second data (second data) are real time data or historical data .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data (first data) path , a second data (second data) path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (received data packet) or other communicable entity .	US20150365319A1 CLAIM 10 . The method of claim 9 , further comprising : bringing the first network device up from failure ; and discarding received data packet (radiation emitter) s at the first network device until the first network device receives a continue message from the second network device .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (destination network device) of an MCD or a person having a positive proximity relationship based on historical travel data .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data path , a second data path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device (travel route) connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (destination network device) of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data path , a second data path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device (travel route) connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (destination network device) of a MCD or a person having a negative or positive proximity relationship in real time .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data path , a second data path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device (travel route) connected to the first data path and the second data path receives two copies of each packet originating from a source network device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20150365319A1 CLAIM 1 . A method comprising : selecting at least a first data (first data) path , a second data (second data) path and a first emergency data path ; delegating at least a first network device as an emergency network device ; notifying a plurality of network devices comprising the first data path and the second data path that a second network device on the second data path has failed ; and routing copies of network packets received at the emergency network device to the first emergency network path upon failure notification , wherein after the implementation of the first emergency network path , a destination network device connected to the first data path and the second data path receives two copies of each packet originating from a source network device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9244922B2 Filed: 2014-04-16 Issued: 2016-01-26 Data management system (Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc Brett Wilfred Marceau, Matthew A. Serra
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (said sub) regarding a first person (said sub) at a first location at a first time (said sub) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (said sub) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (said sub) and second data are real time data or historical data .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (said sub) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (contact point) to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US9244922B2 CLAIM 9 . The computer-implemented method of claim 1 , wherein said updated subscriber data comprises information selected from the group consisting of a subscriber identifier , and a subscriber contact point (travel instructions, pushing travel instructions) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (contact point) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US9244922B2 CLAIM 9 . The computer-implemented method of claim 1 , wherein said updated subscriber data comprises information selected from the group consisting of a subscriber identifier , and a subscriber contact point (travel instructions, pushing travel instructions) .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person (said sub) in subsequent travel .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (said sub) ; and providing travel data to a place for contaminated first persons to the new first person .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (said sub) regarding a first person (said sub) at a first location at a first time (said sub) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9244922B2 CLAIM 1 . A computer-implemented method for modifying subscriber data , said method comprising the steps of receiving updated subscriber data , comparing said updated subscriber data with existing subscriber data , and modifying said existing subscriber data , wherein the step of receiving said updated subscriber data comprises receiving said updated subscriber data via an input interface of a notification platform , wherein the step of comparing said updated subscriber data with existing subscriber data comprises using a comparison module to compare said updated subscriber data with said existing subscriber data , wherein said existing subscriber data is stored in a subscriber database , wherein said comparison module is a constituent comparison module of said notification platform having said input interface , wherein the step of modifying said existing subscriber data that is stored in said sub (first data, first person, first time) scriber database comprises using a modification module of said notification platform , and wherein said modification of said existing subscriber data is carried out based at least in part on results of comparing said updated subscriber data with said existing subscriber data .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20150111524A1 Filed: 2014-03-11 Issued: 2015-04-23 Interactive emergency information and identification systems and methods (Original Assignee) Patrocinium Systems LLC (Current Assignee) Patrocinium Systems Inc John A. South
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (virtual boundary) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (different distances) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20150111524A1 CLAIM 8 . The method of claim 1 , wherein the geo-fence includes a plurality of proximity zones representing physical areas of different distances (proximity distance) from the location of the emergency situation ; and further comprising : determining in which proximity zone each user device located within the geo-fence is respectively located . US20150111524A1 CLAIM 22 . The method of claim 21 , wherein the subscription distance forms a virtual boundary (first location) around the virtual beacon that encompasses the landmark .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (virtual boundary) is within a first contagious zone of a first signal tracking device .	US20150111524A1 CLAIM 22 . The method of claim 21 , wherein the subscription distance forms a virtual boundary (first location) around the virtual beacon that encompasses the landmark .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (virtual boundary) is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20150111524A1 CLAIM 22 . The method of claim 21 , wherein the subscription distance forms a virtual boundary (first location) around the virtual beacon that encompasses the landmark .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20150111524A1 CLAIM 1 . A computer-implemented method for interactive emergency information and identification , the method comprising : receiving , by a processor , a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; defining , by the processor , a geo-fence representing a first physical area surrounding the location of the emergency situation ; receiving , by the processor , location information (negative proximity) representing locations of a plurality of user devices , each user device being associated with an individual ; determining , by the processor , which of the user devices are located within the geo-fence based on the location information ; and transmitting , by the processor , information about the emergency situation to the user devices located within the geo-fence .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (virtual boundary) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (different distances) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20150111524A1 CLAIM 8 . The method of claim 1 , wherein the geo-fence includes a plurality of proximity zones representing physical areas of different distances (proximity distance) from the location of the emergency situation ; and further comprising : determining in which proximity zone each user device located within the geo-fence is respectively located . US20150111524A1 CLAIM 22 . The method of claim 21 , wherein the subscription distance forms a virtual boundary (first location) around the virtual beacon that encompasses the landmark .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2014068573A1 Filed: 2013-10-31 Issued: 2014-05-08 Custom emoticon generation (Original Assignee) Aniways Advertising Solutions Ltd. Yoav Degani
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (one image) at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person (one image) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (one image) does not have the contagion prior to the proximity relationship being positive .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (one image) relative to the second person (one image) .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (search query) on a server computing system , which is stored as either positive or negative .	WO2014068573A1 CLAIM 13 . The method of claim 1 , further comprising identifying at least one keyword in a search query (proximity relationship database) submitted to a search engine using in said terminal ; and wherein said selecting is performed according to said at least one keyword .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (one image) becomes infected and then is a new first person (one image) in subsequent travel .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (one image) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (one image) ; and providing travel data to a place for contaminated first persons to the new first person .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (one image) at a first location at a first time , wherein the first person is at a first event (network node) ; receiving second data regarding a second person (one image) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2014068573A1 CLAIM 9 . The method of claim 1 , wherein said content comprises at least one image (first person, second person, third person) and said content analysis is an image analysis . WO2014068573A1 CLAIM 10 . The method of claim 1 , wherein said providing an access to a dataset comprises establishing a communication with a remote network node (first event) which manages said dataset .
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (network node) is a natural disaster , terrorist event , catastrophe , or other event .	WO2014068573A1 CLAIM 10 . The method of claim 1 , wherein said providing an access to a dataset comprises establishing a communication with a remote network node (first event) which manages said dataset .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9247408B2 Filed: 2013-10-22 Issued: 2016-01-26 Interactive emergency information and identification (Original Assignee) Patrocinium Systems LLC (Current Assignee) Patrocinium Systems Inc John A. South
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9247408B2 CLAIM 16 . An interactive emergency information and identification system , the system comprising : a processor configured to : receive a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; define a geo-fence surrounding the location of the emergency situation , wherein the geo-fence includes a plurality of proximity zones representing physical areas of varying distances from the location of the emergency situation ; receive location information representing locations of a plurality of user devices , the user devices being respectively associated with individuals ; determine positions of at least two user devices in the plurality of user devices within the geo-fence based on the location information , wherein the determination includes a determination of in which proximity zone the at least two user devices are located ; inform at least two individuals about the emergency situation via user interfaces of the at least two user devices associated with the at least two individuals ; provide , via the respective user interfaces of the at least two user devices associated with the at least two individuals , a first interactive element that when activated indicates that the respective individual is currently safe and a second interactive element that when activated indicates that the respective individual is currently unsafe , the first and second interactive elements allowing the at least two individuals to provide respective current safety statuses of the at least two individuals ; receive the current safety statuses of the at least two individuals from the at least two user devices associated with the at least two individuals ; and display the current safety statuses of the at least two individuals on a single screen of an administrator interface , wherein the displaying includes representing with a first display characteristic the individuals that provided a current safety status indicating that the individual is safe , representing with a second display characteristic the individuals that provided a current safety status indicating that the individual is unsafe , and representing with a third display characteristic the individuals for which a current safety status is unknown , the first , second , and third display characteristics being different ; and a database communicatively couple (first data, mobile computing device, receiving first data) d to the processor and configured to store at least the notification and the position information .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (communicatively couple) and second data is data from a signal of a mobile computing device (communicatively couple) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US9247408B2 CLAIM 16 . An interactive emergency information and identification system , the system comprising : a processor configured to : receive a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; define a geo-fence surrounding the location of the emergency situation , wherein the geo-fence includes a plurality of proximity zones representing physical areas of varying distances from the location of the emergency situation ; receive location information representing locations of a plurality of user devices , the user devices being respectively associated with individuals ; determine positions of at least two user devices in the plurality of user devices within the geo-fence based on the location information , wherein the determination includes a determination of in which proximity zone the at least two user devices are located ; inform at least two individuals about the emergency situation via user interfaces of the at least two user devices associated with the at least two individuals ; provide , via the respective user interfaces of the at least two user devices associated with the at least two individuals , a first interactive element that when activated indicates that the respective individual is currently safe and a second interactive element that when activated indicates that the respective individual is currently unsafe , the first and second interactive elements allowing the at least two individuals to provide respective current safety statuses of the at least two individuals ; receive the current safety statuses of the at least two individuals from the at least two user devices associated with the at least two individuals ; and display the current safety statuses of the at least two individuals on a single screen of an administrator interface , wherein the displaying includes representing with a first display characteristic the individuals that provided a current safety status indicating that the individual is safe , representing with a second display characteristic the individuals that provided a current safety status indicating that the individual is unsafe , and representing with a third display characteristic the individuals for which a current safety status is unknown , the first , second , and third display characteristics being different ; and a database communicatively couple (first data, mobile computing device, receiving first data) d to the processor and configured to store at least the notification and the position information .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (communicatively couple) and second data are real time data or historical data .	US9247408B2 CLAIM 16 . An interactive emergency information and identification system , the system comprising : a processor configured to : receive a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; define a geo-fence surrounding the location of the emergency situation , wherein the geo-fence includes a plurality of proximity zones representing physical areas of varying distances from the location of the emergency situation ; receive location information representing locations of a plurality of user devices , the user devices being respectively associated with individuals ; determine positions of at least two user devices in the plurality of user devices within the geo-fence based on the location information , wherein the determination includes a determination of in which proximity zone the at least two user devices are located ; inform at least two individuals about the emergency situation via user interfaces of the at least two user devices associated with the at least two individuals ; provide , via the respective user interfaces of the at least two user devices associated with the at least two individuals , a first interactive element that when activated indicates that the respective individual is currently safe and a second interactive element that when activated indicates that the respective individual is currently unsafe , the first and second interactive elements allowing the at least two individuals to provide respective current safety statuses of the at least two individuals ; receive the current safety statuses of the at least two individuals from the at least two user devices associated with the at least two individuals ; and display the current safety statuses of the at least two individuals on a single screen of an administrator interface , wherein the displaying includes representing with a first display characteristic the individuals that provided a current safety status indicating that the individual is safe , representing with a second display characteristic the individuals that provided a current safety status indicating that the individual is unsafe , and representing with a third display characteristic the individuals for which a current safety status is unknown , the first , second , and third display characteristics being different ; and a database communicatively couple (first data, mobile computing device, receiving first data) d to the processor and configured to store at least the notification and the position information .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US9247408B2 CLAIM 1 . A computer-implemented method for interactive emergency information and identification , the method comprising : receiving , by a processor , a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; defining , by the processor , a geo-fence surrounding the location of the emergency situation , wherein the geo-fence includes a plurality of proximity zones representing physical areas of varying distances from the location of the emergency situation ; receiving , by the processor , location information (negative proximity) representing locations of a plurality of user devices , the user devices being respectively associated with individuals ; determining , by the processor , positions of at least two user devices in the plurality of user devices within the geo-fence based on the location information , wherein the determining includes determining in which proximity zone the at least two user devices are located ; informing , by the processor , at least two individuals about the emergency situation via user interfaces of the at least two user devices associated with the at least two individuals ; providing , by the processor via the respective user interfaces of the at least two user devices associated with the at least two individuals , a functionality allowing the at least two individuals to provide respective current safety statuses of the at least two individuals ; receiving , by the processor , the current safety statuses of the at least two individuals from the at least two user devices associated with the at least two individuals ; and displaying , by the processor , the current safety statuses of the at least two individuals on a single screen of an administrator interface , wherein the displaying includes graphically differentiating the at least two individuals based on the respective current safety statuses of the at least two individuals .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9247408B2 CLAIM 16 . An interactive emergency information and identification system , the system comprising : a processor configured to : receive a notification concerning an emergency situation , wherein the notification includes a location of the emergency situation ; define a geo-fence surrounding the location of the emergency situation , wherein the geo-fence includes a plurality of proximity zones representing physical areas of varying distances from the location of the emergency situation ; receive location information representing locations of a plurality of user devices , the user devices being respectively associated with individuals ; determine positions of at least two user devices in the plurality of user devices within the geo-fence based on the location information , wherein the determination includes a determination of in which proximity zone the at least two user devices are located ; inform at least two individuals about the emergency situation via user interfaces of the at least two user devices associated with the at least two individuals ; provide , via the respective user interfaces of the at least two user devices associated with the at least two individuals , a first interactive element that when activated indicates that the respective individual is currently safe and a second interactive element that when activated indicates that the respective individual is currently unsafe , the first and second interactive elements allowing the at least two individuals to provide respective current safety statuses of the at least two individuals ; receive the current safety statuses of the at least two individuals from the at least two user devices associated with the at least two individuals ; and display the current safety statuses of the at least two individuals on a single screen of an administrator interface , wherein the displaying includes representing with a first display characteristic the individuals that provided a current safety status indicating that the individual is safe , representing with a second display characteristic the individuals that provided a current safety status indicating that the individual is unsafe , and representing with a third display characteristic the individuals for which a current safety status is unknown , the first , second , and third display characteristics being different ; and a database communicatively couple (first data, mobile computing device, receiving first data) d to the processor and configured to store at least the notification and the position information .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CA2809421A1 Filed: 2013-03-12 Issued: 2013-09-12 Adaptive mobile messaging interface for implementing emergency protocols (Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc William Todd Piett
US10198779B2 CLAIM 1 . A method of determining proximity relationships (controlling operation) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CA2809421A1 CLAIM 4 . The method of claim 1 , further comprising receiving information indicative of equipment on said mobile device , and remotely controlling operation (proximity relationships) of said equipment .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	CA2809421A1 CLAIM 14 . A manufacture comprising a non-transitory computer readable medium having (medium timeframe) encoded thereon software for controlling text communications with a 9-1-1 caller , said software comprising instructions that are tied to a particular machine and that cause said particular machine to receive an emergency message from a 9-1-1- caller using a mobile device , to present , on a display screen of said mobile device , a first text message , to present , on said display screen of said mobile device , a first set of valid responses to said first text message , and to receive , from said mobile device , information identifying a selection of a valid response from said first set of valid responses .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (controlling operation) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	CA2809421A1 CLAIM 4 . The method of claim 1 , further comprising receiving information indicative of equipment on said mobile device , and remotely controlling operation (proximity relationships) of said equipment .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (controlling operation) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CA2809421A1 CLAIM 4 . The method of claim 1 , further comprising receiving information indicative of equipment on said mobile device , and remotely controlling operation (proximity relationships) of said equipment .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2013087719A1 Filed: 2012-12-12 Issued: 2013-06-20 Operating mobile devices in disaster situations (Original Assignee) Ats Group (Ip Holdings) Limited Diego Costantini, Ashok-Kumar Chandra-Sekaran
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (radio interfaces) regarding a first person at a first location at a first time (radio interfaces) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (physical movement) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) . WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (radio interfaces) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (radio interfaces) tracking device .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (radio interfaces) and second data are real time data or historical data .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (radio interfaces) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (radio interfaces) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (base station) or other communicable entity .	WO2013087719A1 CLAIM 3 . Method (400) according to claim 2 , wherein the threshold condition includes that the number of mobile devices attempting to connect to a base station (radiation emitter) (1 1 1) exceeds a maximum number of devices that can be allocated to this base station (1 1 1) .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (physical movement) being positive .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (physical movement) is positive , performing the method with a third person relative to the second person .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (physical movement) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (physical movement) based on historical travel data .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (negative proximity) (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (physical movement) in real time .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (radio interfaces) regarding a first person at a first location at a first time (radio interfaces) , wherein the first person is at a first event (radio interfaces) ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (physical movement) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2013087719A1 CLAIM 1 . Computer-implemented method (400) for operating a mobile device (301) , comprising : observing (410) the physical movement (proximity relationship) of the mobile device (301) to classify the mobile device (301) to have an observed movement state (M) ; notifying (420) the observed movement state (M) to other mobile devices (302) ; in response to the notification , receiving (450) location information (x2 , y2) from at least one other mobile device (302) that has a movement state (S) that is complementary to the observed movement state (M) ; and upon arrival of the mobile device (301) in a destination area (240 , 840) , handing over (470) the location information (x2 , y2) to a recipient (R1 , R2 , 812 , 813 , 810) . WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (radio interfaces) is a natural disaster , terrorist event , catastrophe , or other event .	WO2013087719A1 CLAIM 14 . Communication device (31 1) according to claim 13 , wherein the modules are implemented by a computer-processor that accesses built-in components of the device , the computer-processor accesses an accelerometer to provide the function of the observer module (31 1) , accesses built-in device-to-device radio interfaces (first data, first time, first signal, first event) to provide the function of the sender (341) and receiver (351) modules .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2014062147A1 Filed: 2012-10-19 Issued: 2014-04-24 Disaster warning system (Original Assignee) Echostar Ukraine L.L.C. Zane Eaton
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (Global Positioning, remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 13 . An apparatus for providing information related to a disaster , the apparatus comprising : a communication interface configured to communicate data via a communication network ; a processing unit communicatively couple (first data, mobile computing device, receiving first data) d with the communication interface ; and a memory communicatively coupled with and readable by the processing unit and having stored therein computer-readable instructions which , when executed by the processing unit , cause the apparatus to : receive a notification setting based on user input , the notification setting relating to a user preference disaster-related information ; store the notification setting in the memory ; receive data from at least one of a plurality of information sources ; compare the data with the notification setting to determine whether to create a notification based on the data ; create the notification based on the data , the notification comprising the information related to the disaster ; and send the notification via at least one of a plurality of communication channels . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (communicatively couple) and second data is data from a signal of a mobile computing device (communicatively couple) (MCD) obtained by a signal tracking device that has been provided to a server computing system (Global Positioning, remote device) .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 13 . An apparatus for providing information related to a disaster , the apparatus comprising : a communication interface configured to communicate data via a communication network ; a processing unit communicatively couple (first data, mobile computing device, receiving first data) d with the communication interface ; and a memory communicatively coupled with and readable by the processing unit and having stored therein computer-readable instructions which , when executed by the processing unit , cause the apparatus to : receive a notification setting based on user input , the notification setting relating to a user preference disaster-related information ; store the notification setting in the memory ; receive data from at least one of a plurality of information sources ; compare the data with the notification setting to determine whether to create a notification based on the data ; create the notification based on the data , the notification comprising the information related to the disaster ; and send the notification via at least one of a plurality of communication channels . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (communicatively couple) and second data are real time data or historical data .	WO2014062147A1 CLAIM 13 . An apparatus for providing information related to a disaster , the apparatus comprising : a communication interface configured to communicate data via a communication network ; a processing unit communicatively couple (first data, mobile computing device, receiving first data) d with the communication interface ; and a memory communicatively coupled with and readable by the processing unit and having stored therein computer-readable instructions which , when executed by the processing unit , cause the apparatus to : receive a notification setting based on user input , the notification setting relating to a user preference disaster-related information ; store the notification setting in the memory ; receive data from at least one of a plurality of information sources ; compare the data with the notification setting to determine whether to create a notification based on the data ; create the notification based on the data , the notification comprising the information related to the disaster ; and send the notification via at least one of a plurality of communication channels .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (estimated location, new location) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2014062147A1 CLAIM 3 . The method for providing information related to a disaster of claim 2 , further comprising updating the notification setting based on new location (medium proximity zone) information . WO2014062147A1 CLAIM 5 . The method for providing information related to a disaster of claim 2 , wherein the location information includes at least one of : a location of a device , at least one location provided by a user , a plurality of locations related to a route , or an estimated location (medium proximity zone) of a user .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning, remote device) , which is stored as either positive or negative .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning, remote device) .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data (Global Positioning, remote device) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2014062147A1 CLAIM 2 . The method for providing information related to a disaster of claim 1 , wherein the notification setting includes location information (negative proximity) . WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning, remote device) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning, remote device) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (Global Positioning, remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2014062147A1 CLAIM 4 . The method for providing information related to a disaster of claim 3 , wherein the new location information is based on Global Positioning (server computing system, travel data, receiving second data) System (GPS) information received from a mobile device associated with a user . WO2014062147A1 CLAIM 13 . An apparatus for providing information related to a disaster , the apparatus comprising : a communication interface configured to communicate data via a communication network ; a processing unit communicatively couple (first data, mobile computing device, receiving first data) d with the communication interface ; and a memory communicatively coupled with and readable by the processing unit and having stored therein computer-readable instructions which , when executed by the processing unit , cause the apparatus to : receive a notification setting based on user input , the notification setting relating to a user preference disaster-related information ; store the notification setting in the memory ; receive data from at least one of a plurality of information sources ; compare the data with the notification setting to determine whether to create a notification based on the data ; create the notification based on the data , the notification comprising the information related to the disaster ; and send the notification via at least one of a plurality of communication channels . WO2014062147A1 CLAIM 20 . The apparatus providing information related to a disasterof claim 13 , wherein thecomputer-readable instructions , when executed by the processing unit , further cause the apparatus to send a command , using the communication interface , to aremote device (server computing system, travel data, receiving second data) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US8588821B1 Filed: 2012-10-08 Issued: 2013-11-19 Techniques for automatically outputting severe weather notifications at a user's mobile computing device (Original Assignee) Google LLC (Current Assignee) Google LLC Philip Hewinson
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (third time, first time) regarding a first person at a first location at a first time (third time, first time) , wherein the first person has a contagion ; receiving second data regarding a second person (specific p) at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time (second time) responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time . US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (third time, first time) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (third time, first time) tracking device .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (third time, first time) and second data are real time data or historical data .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (third time, first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time (second time) responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (third time, first time) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US8588821B1 CLAIM 18 . A non-transitory computer-readable medium having (medium timeframe) instructions stored thereon that , when executed by one or more processors of a mobile computing device , causes the mobile computing device to perform operations including : receiving an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data , the user-related data including at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and the determining the one or more locations including : determining one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific probability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period ; and receiving a weather prediction for the future period of time for each of the one or more locations ; and automatically outputting the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time responsive to none of the one or more locations being greater than a distance threshold from a residence location of the user , and (ii) at a second time responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user , wherein the second time is before the first time .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (specific p) does not have the contagion prior to the proximity relationship being positive .	US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (specific p) .	US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (specific p) becomes infected and then is a new first person in subsequent travel .	US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (specific p) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (third time, first time) regarding a first person at a first location at a first time (third time, first time) , wherein the first person is at a first event ; receiving second data regarding a second person (specific p) at a second location at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US8588821B1 CLAIM 1 . A computer-implemented method , comprising : receiving , at a mobile computing device including one or more processors , an input from a user , the input indicating a weather severity threshold for providing a notification at the mobile computing device ; determining , at the mobile computing device , one or more locations where the mobile computing device is likely to be during a future period of time based on user-related data from at least one of a plurality of software applications associated with the user , the plurality of software applications including (i) a calendar application , (ii) a travel application , and (iii) an aggregation application ; receiving , at the mobile computing device , a weather prediction for the future period of time for each of the one or more locations ; determining , using the at least one of the plurality of software applications , whether any of the one or more locations that are greater than a distance threshold from a residence location of the user are associated with a multiple-day trip by the user ; and automatically outputting , at the mobile computing device , the notification responsive to the weather prediction for at least one of the one or more locations exceeding the weather severity threshold , the automatically outputting occurring : (i) at a first time (first data, first time, first signal) responsive to none of the one or more locations being greater than the distance threshold from the residence location of the user , and (ii) at a second time (second time) responsive to at least one of the one or more locations being greater than the distance threshold from the residence location of the user and associated with a multiple-day trip , wherein the second time is before the first time and before the user is scheduled , according to the at least one of the plurality of software applications , to leave for the multiple-day trip . US8588821B1 CLAIM 5 . The computer-implemented method of claim 1 , wherein the input indicates first and second weather severity thresholds for providing the notification at the mobile computing device , wherein the second weather severity threshold is more severe than the first weather severity threshold , and wherein the notification is automatically output at the mobile computing device at least one of : (i) at a third time (first data, first time, first signal) responsive to the weather prediction for at least one of the one or more locations exceeding the first weather severity threshold , and (ii) at a fourth time responsive to the weather prediction for at least one of the one or more locations exceeding the second weather severity threshold , wherein the fourth time is before the third time . US8588821B1 CLAIM 8 . The computer-implemented method of claim 1 , wherein the user-related data includes at least one of (i) one or more repeat locations associated with the user and (ii) one or more movement patterns associated with the user , and wherein determining the one or more locations that the mobile computing device is likely to be during a future period based on the user-related data includes : determining , at the mobile computing device , one or more possible locations that the mobile computing device is likely to be during the future time period based on the user-related data ; determining , at the mobile computing device , a probability score for each of the one or more possible locations using a machine learning algorithm , wherein a specific p (second person) robability score is indicative of a likelihood that the mobile computing device is at a specific location during the future time period ; and selecting , at the mobile computing device , each of the one or more possible locations having a probability score greater than a probability score threshold to obtain the one or more locations , wherein the probability score threshold is indicative of an acceptable likelihood that the mobile computing device is at the specific location during the future time period .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130091146A1 Filed: 2012-10-05 Issued: 2013-04-11 Determination of mobile user profile and preferences from movement patterns (Original Assignee) WIFARER Inc (Current Assignee) WIFARER Inc Philip Stanger
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (predetermined value, Global Positioning) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (predetermined value, Global Positioning) .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20130091146A1 CLAIM 10 . A computer-readable medium having (medium timeframe) stored thereon computer-executable instructions for the method of claim 1 .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (predetermined value, Global Positioning) , which is stored as either positive or negative .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (predetermined value, Global Positioning) .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data (predetermined value, Global Positioning) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates . US20130091146A1 CLAIM 23 . The mobile station of claim 22 , wherein the location system is configured to communicate location information (negative proximity) based on detected radio frequency signals .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (predetermined value, Global Positioning) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (predetermined value, Global Positioning) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (predetermined value, Global Positioning) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20130091146A1 CLAIM 3 . The method of claim 1 , further comprising obtaining the at least one user value from a user profile associated with the mobile station , and the location profile is established based in part on predetermined value (travel data, receiving second data, server computing system) s associated a goods or service provider at the reported location . US20130091146A1 CLAIM 5 . The method of claim 4 , wherein at least one of the reported locations is based on radio-frequency (RF) signals associated with wireless network RF signals or Global Positioning (travel data, receiving second data, server computing system) System coordinates .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130066448A1 Filed: 2012-09-12 Issued: 2013-03-14 Sports telemetry system for collecting performance metrics and data (Original Assignee) Advanced Technologies Group LLC (Current Assignee) SPORTS TRAXX Inc Ramon A. Alonso
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (end zone) regarding a first person at a first location (one camera) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (third signals) period (third signals) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (third signals) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place . US20130066448A1 CLAIM 36 . The system of claim 16 , wherein the plurality of sensors comprise at least one camera (first location) with an eye tracking function and one camera for capturing a field of view of the sports participant . US20130066448A1 CLAIM 45 . The system of claim 19 , wherein the sports object comprises at least one of : a ball , football down markers , end zone (receiving first data) markers , goal zone markers , goal posts , tackling dummies , training equipment , blocking pads , tackling sleds , delineating boundaries , yard sticks , yard markers , or . scrimmage line .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (location sensor) that has been provided to a server computing system .	US20130066448A1 CLAIM 18 . The system of claim 16 , wherein the plurality of sensors is at least one of a biological sensor , a telemetry sensor , a location sensor (signal tracking device, performing one) , or an audiovisual sensor .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one camera) is within a first contagious zone of a first signal tracking device (location sensor) .	US20130066448A1 CLAIM 1 . A method for collecting sports data comprising the steps of : receiving from one or more telemetry modules mounted , affixed , or embedded on at least one sports participant , a first signal (first signal) carrying data corresponding relative position , identification , movement , speed , velocity , impact , position , biological data or condition of said at least one sports participant ; receiving from one or more telemetry modules mounted , affixed , or embedded in a sports object , a second signal carrying data corresponding to relative position , identification , movement , speed , velocity , impact , position or condition of said sports object ; and processing the received first and second signal to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20130066448A1 CLAIM 18 . The system of claim 16 , wherein the plurality of sensors is at least one of a biological sensor , a telemetry sensor , a location sensor (signal tracking device, performing one) , or an audiovisual sensor . US20130066448A1 CLAIM 36 . The system of claim 16 , wherein the plurality of sensors comprise at least one camera (first location) with an eye tracking function and one camera for capturing a field of view of the sports participant .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one camera) is one or more of : within a strong proximity zone of a first signal tracking device (location sensor) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20130066448A1 CLAIM 1 . A method for collecting sports data comprising the steps of : receiving from one or more telemetry modules mounted , affixed , or embedded on at least one sports participant , a first signal (first signal) carrying data corresponding relative position , identification , movement , speed , velocity , impact , position , biological data or condition of said at least one sports participant ; receiving from one or more telemetry modules mounted , affixed , or embedded in a sports object , a second signal carrying data corresponding to relative position , identification , movement , speed , velocity , impact , position or condition of said sports object ; and processing the received first and second signal to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20130066448A1 CLAIM 18 . The system of claim 16 , wherein the plurality of sensors is at least one of a biological sensor , a telemetry sensor , a location sensor (signal tracking device, performing one) , or an audiovisual sensor . US20130066448A1 CLAIM 36 . The system of claim 16 , wherein the plurality of sensors comprise at least one camera (first location) with an eye tracking function and one camera for capturing a field of view of the sports participant .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (third signals) period (third signals) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (third signals) being positive .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (third signals) is positive , performing the method with a third person relative to the second person .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (third signals) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (third signals) based on historical travel data .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one (location sensor) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20130066448A1 CLAIM 2 . The method of claim 1 , wherein the processing step comprises extracting location information (negative proximity) from said first and second signal . US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place . US20130066448A1 CLAIM 18 . The system of claim 16 , wherein the plurality of sensors is at least one of a biological sensor , a telemetry sensor , a location sensor (signal tracking device, performing one) , or an audiovisual sensor .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (third signals) in real time .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (end zone) regarding a first person at a first location (one camera) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (third signals) period (third signals) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (third signals) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20130066448A1 CLAIM 15 . The method of claim 1 , further comprising : receiving from said one or more telemetry modules , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding to the proximity of a moving sports object or said sports participant to a stationary object placed in a location where the sports event takes place . US20130066448A1 CLAIM 36 . The system of claim 16 , wherein the plurality of sensors comprise at least one camera (first location) with an eye tracking function and one camera for capturing a field of view of the sports participant . US20130066448A1 CLAIM 45 . The system of claim 19 , wherein the sports object comprises at least one of : a ball , football down markers , end zone (receiving first data) markers , goal zone markers , goal posts , tackling dummies , training equipment , blocking pads , tackling sleds , delineating boundaries , yard sticks , yard markers , or . scrimmage line .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120303455A1 Filed: 2012-07-23 Issued: 2012-11-29 Systems and Methods to Deliver Digital Location-Based Content to a Visitor at a Physical Business Location (Original Assignee) Enhanced Geographic LLC (Current Assignee) Facebook Inc James David Busch
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (location sensor) that has been provided to a server computing system .	US20120303455A1 CLAIM 21 . A method , used by a manager of a physical business location that utilizes a location based service system , of providing a message relating to the physical business location to a potential customer , with a wireless device having a wireless communication interface and a geographic location sensor (signal tracking device, performing one) , when it is determined that the physical business location is visited by the manager' ; s potential customer using the wireless device , comprising the acts of : a) the manager of the physical business location receiving data from the location based services system , the data indicating at least one physical business location that the manager is authorized to distribute messages relating to ; and b) the manager of the physical business location transmitting , to the location based services system , a selection specifying at least one physical business location that the manager is authorized to distribute messages relating to , along with the message to associate with the selection of at least one physical business location that the manager is authorized to distribute messages relating to , wherein the manager' ; s transmission of the message causes the location based services system to distribute the message on behalf of the manager to the potential customer' ; s wireless device upon receiving an indication that the manager' ; s potential customer is visiting the physical business location using the following process : i) receiving , from the manager' ; s potential customer' ; s wireless device , geographic location information corresponding to the geographic location of the wireless device determined based on information from the geographic location sensor of the manager' ; s potential customer' ; s wireless device ; ii) transmitting , to the manager' ; s potential customer' ; s wireless device , the names of a plurality of physical business locations near the geographic location of the manager' ; s potential customer' ; s wireless device based on a database including names of physical business locations and associated geographic location information ; and iii) receiving , from the manager' ; s potential customer' ; s wireless device , an indicated physical business location from the from the plurality of names of physical business locations , the selection corresponding to a location described by the manager' ; s selection , the indicated business location thereby verifying that the manager' ; s potential customer is visiting the at least one physical business location associated with the message .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (location sensor) .	US20120303455A1 CLAIM 21 . A method , used by a manager of a physical business location that utilizes a location based service system , of providing a message relating to the physical business location to a potential customer , with a wireless device having a wireless communication interface and a geographic location sensor (signal tracking device, performing one) , when it is determined that the physical business location is visited by the manager' ; s potential customer using the wireless device , comprising the acts of : a) the manager of the physical business location receiving data from the location based services system , the data indicating at least one physical business location that the manager is authorized to distribute messages relating to ; and b) the manager of the physical business location transmitting , to the location based services system , a selection specifying at least one physical business location that the manager is authorized to distribute messages relating to , along with the message to associate with the selection of at least one physical business location that the manager is authorized to distribute messages relating to , wherein the manager' ; s transmission of the message causes the location based services system to distribute the message on behalf of the manager to the potential customer' ; s wireless device upon receiving an indication that the manager' ; s potential customer is visiting the physical business location using the following process : i) receiving , from the manager' ; s potential customer' ; s wireless device , geographic location information corresponding to the geographic location of the wireless device determined based on information from the geographic location sensor of the manager' ; s potential customer' ; s wireless device ; ii) transmitting , to the manager' ; s potential customer' ; s wireless device , the names of a plurality of physical business locations near the geographic location of the manager' ; s potential customer' ; s wireless device based on a database including names of physical business locations and associated geographic location information ; and iii) receiving , from the manager' ; s potential customer' ; s wireless device , an indicated physical business location from the from the plurality of names of physical business locations , the selection corresponding to a location described by the manager' ; s selection , the indicated business location thereby verifying that the manager' ; s potential customer is visiting the at least one physical business location associated with the message .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (location sensor) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120303455A1 CLAIM 21 . A method , used by a manager of a physical business location that utilizes a location based service system , of providing a message relating to the physical business location to a potential customer , with a wireless device having a wireless communication interface and a geographic location sensor (signal tracking device, performing one) , when it is determined that the physical business location is visited by the manager' ; s potential customer using the wireless device , comprising the acts of : a) the manager of the physical business location receiving data from the location based services system , the data indicating at least one physical business location that the manager is authorized to distribute messages relating to ; and b) the manager of the physical business location transmitting , to the location based services system , a selection specifying at least one physical business location that the manager is authorized to distribute messages relating to , along with the message to associate with the selection of at least one physical business location that the manager is authorized to distribute messages relating to , wherein the manager' ; s transmission of the message causes the location based services system to distribute the message on behalf of the manager to the potential customer' ; s wireless device upon receiving an indication that the manager' ; s potential customer is visiting the physical business location using the following process : i) receiving , from the manager' ; s potential customer' ; s wireless device , geographic location information corresponding to the geographic location of the wireless device determined based on information from the geographic location sensor of the manager' ; s potential customer' ; s wireless device ; ii) transmitting , to the manager' ; s potential customer' ; s wireless device , the names of a plurality of physical business locations near the geographic location of the manager' ; s potential customer' ; s wireless device based on a database including names of physical business locations and associated geographic location information ; and iii) receiving , from the manager' ; s potential customer' ; s wireless device , an indicated physical business location from the from the plurality of names of physical business locations , the selection corresponding to a location described by the manager' ; s selection , the indicated business location thereby verifying that the manager' ; s potential customer is visiting the at least one physical business location associated with the message .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one (location sensor) or more of the following : providing travel instructions (location based service) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20120303455A1 CLAIM 21 . A method , used by a manager of a physical business location that utilizes a location based service (providing travel instructions) system , of providing a message relating to the physical business location to a potential customer , with a wireless device having a wireless communication interface and a geographic location sensor (signal tracking device, performing one) , when it is determined that the physical business location is visited by the manager' ; s potential customer using the wireless device , comprising the acts of : a) the manager of the physical business location receiving data from the location based services system , the data indicating at least one physical business location that the manager is authorized to distribute messages relating to ; and b) the manager of the physical business location transmitting , to the location based services system , a selection specifying at least one physical business location that the manager is authorized to distribute messages relating to , along with the message to associate with the selection of at least one physical business location that the manager is authorized to distribute messages relating to , wherein the manager' ; s transmission of the message causes the location based services system to distribute the message on behalf of the manager to the potential customer' ; s wireless device upon receiving an indication that the manager' ; s potential customer is visiting the physical business location using the following process : i) receiving , from the manager' ; s potential customer' ; s wireless device , geographic location information (negative proximity) corresponding to the geographic location of the wireless device determined based on information from the geographic location sensor of the manager' ; s potential customer' ; s wireless device ; ii) transmitting , to the manager' ; s potential customer' ; s wireless device , the names of a plurality of physical business locations near the geographic location of the manager' ; s potential customer' ; s wireless device based on a database including names of physical business locations and associated geographic location information ; and iii) receiving , from the manager' ; s potential customer' ; s wireless device , an indicated physical business location from the from the plurality of names of physical business locations , the selection corresponding to a location described by the manager' ; s selection , the indicated business location thereby verifying that the manager' ; s potential customer is visiting the at least one physical business location associated with the message .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120225676A1 Filed: 2012-03-02 Issued: 2012-09-06 Method, apparatus, and computer program product for processing received signals for locating (Original Assignee) Zebra Enterprise Solutions LLC (Current Assignee) Zebra Enterprise Solutions LLC ; Zebra Technologies Corp Robert W. Boyd, Jerald W. English, Thomas L. Richardson, Michael A. Wohl
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (two antennas) regarding a first person at a first location at a first time (sampled data) , wherein the first person has a contagion ; receiving second data (carrier frequency) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20120225676A1 CLAIM 4 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : estimate a phase of the signal of interest via utilization of quadrature sampled data (first time, first signal, first signal tracking device) from the signal of interest , and reduce interference and noise by processing a portion of the signal of interest that is in-phase with the estimated phase . US20120225676A1 CLAIM 9 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : receive a plurality of wireless signal streams , each signal stream within the plurality having a respective carrier frequency (receiving second data) ; and wherein the processing circuitry of the first receiver configured to generate the signal timing information and determine the times for the plurality of window periods is further configured to generate the signal timing information and determine the times for the plurality of window periods with respect to a signal of interest for each of the respective carrier frequencies . US20120225676A1 CLAIM 29 . The apparatus of claim 19 further comprising at least two antennas (first data, receiving first data) , and wherein the at least two antennas are configured to receive the wireless signal stream .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (two antennas) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20120225676A1 CLAIM 29 . The apparatus of claim 19 further comprising at least two antennas (first data, receiving first data) , and wherein the at least two antennas are configured to receive the wireless signal stream .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (sampled data) tracking device .	US20120225676A1 CLAIM 4 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : estimate a phase of the signal of interest via utilization of quadrature sampled data (first time, first signal, first signal tracking device) from the signal of interest , and reduce interference and noise by processing a portion of the signal of interest that is in-phase with the estimated phase .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (two antennas) and second data are real time data or historical data .	US20120225676A1 CLAIM 29 . The apparatus of claim 19 further comprising at least two antennas (first data, receiving first data) , and wherein the at least two antennas are configured to receive the wireless signal stream .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (sampled data) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20120225676A1 CLAIM 4 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : estimate a phase of the signal of interest via utilization of quadrature sampled data (first time, first signal, first signal tracking device) from the signal of interest , and reduce interference and noise by processing a portion of the signal of interest that is in-phase with the estimated phase .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (sampled data) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120225676A1 CLAIM 4 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : estimate a phase of the signal of interest via utilization of quadrature sampled data (first time, first signal, first signal tracking device) from the signal of interest , and reduce interference and noise by processing a portion of the signal of interest that is in-phase with the estimated phase .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20120225676A1 CLAIM 31 . A non-transitory computer-readable storage medium having (medium timeframe) program code stored thereon , the program code being configured to , upon execution , direct an apparatus to at least : receive a wireless signal stream from a node device , the wireless signal stream including a signal of interest ; generate signal timing information comprising a one or more of pulses based on the wireless signal stream , the pulses being time-compressed portions of the signal of interest ; and determine times for a plurality of window periods for the signal of interest based on the signal timing information , wherein each timing window is associated with a respective pulse of the timing information .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (two antennas) regarding a first person at a first location at a first time (sampled data) , wherein the first person is at a first event ; receiving second data (carrier frequency) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20120225676A1 CLAIM 4 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : estimate a phase of the signal of interest via utilization of quadrature sampled data (first time, first signal, first signal tracking device) from the signal of interest , and reduce interference and noise by processing a portion of the signal of interest that is in-phase with the estimated phase . US20120225676A1 CLAIM 9 . The system of claim 1 , wherein the processing circuitry of the first receiver is further configured to : receive a plurality of wireless signal streams , each signal stream within the plurality having a respective carrier frequency (receiving second data) ; and wherein the processing circuitry of the first receiver configured to generate the signal timing information and determine the times for the plurality of window periods is further configured to generate the signal timing information and determine the times for the plurality of window periods with respect to a signal of interest for each of the respective carrier frequencies . US20120225676A1 CLAIM 29 . The apparatus of claim 19 further comprising at least two antennas (first data, receiving first data) , and wherein the at least two antennas are configured to receive the wireless signal stream .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2012106075A1 Filed: 2012-01-11 Issued: 2012-08-09 Method and apparatus for mobile location determination (Original Assignee) Wifislam, Inc. Joseph Ding-Jiu HUANG, David Benjamin MILLMAN
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (contextual information, different times) at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receivers at different times (first person, third person) ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot . WO2012106075A1 CLAIM 14 . A method of shopping using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a merchandise information based on the user' ; s location , the merchandise information related to information about products for sale in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information (first person, third person) based on the user' ; s location and the merchandise information .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (different receiver) or other communicable entity .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receiver (radiation emitter) s at different times ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (contextual information, different times) relative to the second person .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receivers at different times (first person, third person) ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot . WO2012106075A1 CLAIM 14 . A method of shopping using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a merchandise information based on the user' ; s location , the merchandise information related to information about products for sale in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information (first person, third person) based on the user' ; s location and the merchandise information .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2012106075A1 CLAIM 22 . A method of using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a social location information (negative proximity) based on the user' ; s location , the social location information related to information about other users in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information based on the user' ; s location and the social location information .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person (contextual information, different times) in subsequent travel .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receivers at different times (first person, third person) ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot . WO2012106075A1 CLAIM 14 . A method of shopping using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a merchandise information based on the user' ; s location , the merchandise information related to information about products for sale in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information (first person, third person) based on the user' ; s location and the merchandise information .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (contextual information, different times) ; and providing travel data to a place for contaminated first persons to the new first person .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receivers at different times (first person, third person) ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot . WO2012106075A1 CLAIM 14 . A method of shopping using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a merchandise information based on the user' ; s location , the merchandise information related to information about products for sale in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information (first person, third person) based on the user' ; s location and the merchandise information .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person (contextual information, different times) at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2012106075A1 CLAIM 12 . A method of determining a user' ; s location on a mobile device , the method comprising : obtaining a signal information , the signal information for a plurality of samples of a plurality of radio frequency transmissions , the signal information obtained by a plurality of different receivers at different times (first person, third person) ; generating a signal snapshot from the signal information ; and computing the user' ; s location on the mobile device using the signal snapshot . WO2012106075A1 CLAIM 14 . A method of shopping using a mobile device , the method comprising the steps of : determining a signal snapshot on the mobile device , the signal snapshot describing characteristics of unregulated radio frequency (RF) transmissions detectable by the mobile device ; generating the user' ; s location on the mobile device using the signal snapshot ; obtaining a merchandise information based on the user' ; s location , the merchandise information related to information about products for sale in the vicinity of the user' ; s location ; repeating the determining and generating steps on the mobile device over time and updating the user' ; s location and the signal snapshot ; and selectively displaying contextual information (first person, third person) based on the user' ; s location and the merchandise information .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120126973A1 Filed: 2011-11-21 Issued: 2012-05-24 Associative object tracking systems and methods (Original Assignee) ISOLYNX LLC (Current Assignee) ISOLYNX LLC Douglas J. DeAngelis, Edward G. Evansen, Gerard M. Reilly
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (determined locations) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (magnetic field) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period (detection area) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20120126973A1 CLAIM 14 . The method of claim 12 , further comprising identifying incorrect associative transfers based upon a determined distance between the determined locations (first location) of the first object and the associated second object and a predefined distance threshold . US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object . US20120126973A1 CLAIM 20 . The method of claim 18 , the step of sensing comprising sensing a magnetic field (proximity distance) generated by the first object at the second object , wherein detection of the magnetic field indicates proximity of the first object to the second object . US20120126973A1 CLAIM 28 . A method for automatically associating a tracking tag with a tracked object , comprising the steps of : determining an object identity (ID) of the object located within a detection area (proximity time period) ; determining a tracking ID of the tracking tag from a radio signal received from the tracking tag ; and associating , within a database , the tracking tag ID with the object ID .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (when position) that has been provided to a server computing system .	US20120126973A1 CLAIM 36 . A system for automatically assigning a tracking tag to an object to be tracked , comprising : a receiver for receiving a wireless signal from the tracking tag ; and an assignment device for determining a tracking tag identity (ID) of the tracking tag based upon the wireless signal , for determining an object ID of the object when position (signal tracking device) ed within a detection area , and for associating the tracking tag ID with the object ID within a database .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (determined locations) is within a first contagious zone of a first signal tracking device (when position) .	US20120126973A1 CLAIM 14 . The method of claim 12 , further comprising identifying incorrect associative transfers based upon a determined distance between the determined locations (first location) of the first object and the associated second object and a predefined distance threshold . US20120126973A1 CLAIM 36 . A system for automatically assigning a tracking tag to an object to be tracked , comprising : a receiver for receiving a wireless signal from the tracking tag ; and an assignment device for determining a tracking tag identity (ID) of the tracking tag based upon the wireless signal , for determining an object ID of the object when position (signal tracking device) ed within a detection area , and for associating the tracking tag ID with the object ID within a database .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (determined locations) is one or more of : within a strong proximity zone of a first signal tracking device (when position) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (short range) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120126973A1 CLAIM 14 . The method of claim 12 , further comprising identifying incorrect associative transfers based upon a determined distance between the determined locations (first location) of the first object and the associated second object and a predefined distance threshold . US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object . US20120126973A1 CLAIM 36 . A system for automatically assigning a tracking tag to an object to be tracked , comprising : a receiver for receiving a wireless signal from the tracking tag ; and an assignment device for determining a tracking tag identity (ID) of the tracking tag based upon the wireless signal , for determining an object ID of the object when position (signal tracking device) ed within a detection area , and for associating the tracking tag ID with the object ID within a database .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time period (detection area) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20120126973A1 CLAIM 28 . A method for automatically associating a tracking tag with a tracked object , comprising the steps of : determining an object identity (ID) of the object located within a detection area (proximity time period) ; determining a tracking ID of the tracking tag from a radio signal received from the tracking tag ; and associating , within a database , the tracking tag ID with the object ID .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (short range) being positive .	US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (short range) is positive , performing the method with a third person relative to the second person .	US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (short range) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (short range) based on historical travel data .	US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20120126973A1 CLAIM 16 . The apparatus of claim 15 , further comprising an output generator for outputting , when the tracking reliability monitor determines that the tracking information for the first object is not reliable , location information (negative proximity) for the second object as location information for the first object based upon the association of the first object with the second object . US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (short range) in real time .	US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (determined locations) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (magnetic field) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period (detection area) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20120126973A1 CLAIM 14 . The method of claim 12 , further comprising identifying incorrect associative transfers based upon a determined distance between the determined locations (first location) of the first object and the associated second object and a predefined distance threshold . US20120126973A1 CLAIM 19 . The method of claim 18 , the step of sensing comprising sensing , at the second object , presence of a short range (medium proximity, proximity relationship, proximity relationship database) radio signal transmitted from the first object , wherein detection of the signal indicates proximity of the first object to the second object . US20120126973A1 CLAIM 20 . The method of claim 18 , the step of sensing comprising sensing a magnetic field (proximity distance) generated by the first object at the second object , wherein detection of the magnetic field indicates proximity of the first object to the second object . US20120126973A1 CLAIM 28 . A method for automatically associating a tracking tag with a tracked object , comprising the steps of : determining an object identity (ID) of the object located within a detection area (proximity time period) ; determining a tracking ID of the tracking tag from a radio signal received from the tracking tag ; and associating , within a database , the tracking tag ID with the object ID .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20120092161A1 Filed: 2011-10-18 Issued: 2012-04-19 Systems and methods for notifying proximal community members of an emergency or event (Original Assignee) SMARTWATCH Inc (Current Assignee) SMARTWATCH Inc Rodger M. West
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (location sensor) that has been provided to a server computing system .	US20120092161A1 CLAIM 6 . The method of claim 5 , wherein the real-time location information is retrieved from one or more of the following : a location sensor (signal tracking device, performing one) embedded in a mobile electronic device of the system user , a third party location service provider , a cellular network carrier , a satellite triangulation system .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (location sensor) .	US20120092161A1 CLAIM 6 . The method of claim 5 , wherein the real-time location information is retrieved from one or more of the following : a location sensor (signal tracking device, performing one) embedded in a mobile electronic device of the system user , a third party location service provider , a cellular network carrier , a satellite triangulation system .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (location sensor) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20120092161A1 CLAIM 6 . The method of claim 5 , wherein the real-time location information is retrieved from one or more of the following : a location sensor (signal tracking device, performing one) embedded in a mobile electronic device of the system user , a third party location service provider , a cellular network carrier , a satellite triangulation system .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one (location sensor) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20120092161A1 CLAIM 4 . The method of claim 1 , wherein the event information includes location information (negative proximity) indentifying the geographic location . US20120092161A1 CLAIM 6 . The method of claim 5 , wherein the real-time location information is retrieved from one or more of the following : a location sensor (signal tracking device, performing one) embedded in a mobile electronic device of the system user , a third party location service provider , a cellular network carrier , a satellite triangulation system .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2012021507A2 Filed: 2011-08-09 Issued: 2012-02-16 Monitoring fitness using a mobile device (Original Assignee) Nike International Ltd. Michael T. Hoffman, Kwamina Crankson, Jason Nims, Michael Levi Orenstein, Kristen Laina White
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (second sensor) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (second sensor) being positive .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (second sensor) is positive , performing the method with a third person relative to the second person .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (readable media) to the MCD based on its proximity relationship (second sensor) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device . WO2012021507A2 CLAIM 3 . One or more non-transitory computer readable media (travel instructions) storing computer readable instructions that , when executed , cause a computing system to : generate a first interface when no previous athletic activity workouts have been recorded for a user , the first interface comprising an option to initiate a new workout ; and generate a second interface when at least one athletic activity workout has been recorded for the user , the second interface comprising an option configured to cause the computing system to automatically generate a recommendation for a workout that improves upon the previously recorded at least one athletic activity workout .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (second sensor) based on historical travel data .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions (readable media) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device . WO2012021507A2 CLAIM 3 . One or more non-transitory computer readable media (travel instructions) storing computer readable instructions that , when executed , cause a computing system to : generate a first interface when no previous athletic activity workouts have been recorded for a user , the first interface comprising an option to initiate a new workout ; and generate a second interface when at least one athletic activity workout has been recorded for the user , the second interface comprising an option configured to cause the computing system to automatically generate a recommendation for a workout that improves upon the previously recorded at least one athletic activity workout . WO2012021507A2 CLAIM 42 . An apparatus comprising : a processor ; and memory storing computer readable instructions that , when executed , cause the apparatus to : record a route for an athletic activity performed by a user based on detected location information (negative proximity) ; store athletic performance data of the athletic activity in association with the recorded route ; generate a route map showing the recorded route , wherein the route map further includes one or more markers on the route identifying at least on metric of the athletic activity .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (second sensor) in real time .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (second sensor) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2012021507A2 CLAIM 1 . A system comprising : a mobile athletic activity monitoring device comprising : a first sensor device configured to measure athletic activity ; a second sensor (medium proximity, proximity relationship) device configured to determine a change in physical location of a user during the user' ; s workout ; a processor ; and memory storing computer readable instructions that , when executed , cause the monitoring device to : determine whether the user' ; s athletic activity includes a change in physical location ; and in response to determining that the user' ; s athletic activity does not include the change in physical location : automatically activate recording of athletic activity data using the first sensor device , and automatically deactivate recording of athletic activity data using the second sensor device , otherwise , in response to determining that the user' ; s athletic activity does include the change in physical location , automatically activate recording of athletic activity data using the second sensor device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20110282571A1 Filed: 2011-07-25 Issued: 2011-11-17 Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods (Original Assignee) Microsoft Corp (Current Assignee) Microsoft Technology Licensing LLC John C. Krumm, Eric J. Horvitz
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (new location) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations . US20110282571A1 CLAIM 9 . The system of claim 1 , wherein : the destination estimator component integrates open world and closed world analyses into a location forecast , where the destination estimator component performs forecasting about a likelihood of a driver visiting a previously unobserved location and spatial relationships of new location (medium proximity zone) s , given prior observations of locations .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (route planning) of an MCD or a person having a positive proximity relationship based on historical travel data (travel data) .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data (travel data) during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time to a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations . US20110282571A1 CLAIM 8 . The system of claim 1 , further comprising : a route planning (travel route) component that generates routes likely to be utilized to travel to candidate destinations and determines time estimates associated with the routes .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (route planning) of an MCD or a person having a negative proximity relationship based on historical travel data (travel data) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data (travel data) during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time to a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations . US20110282571A1 CLAIM 8 . The system of claim 1 , further comprising : a route planning (travel route) component that generates routes likely to be utilized to travel to candidate destinations and determines time estimates associated with the routes .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (route planning) of a MCD or a person having a negative or positive proximity relationship in real time .	US20110282571A1 CLAIM 8 . The system of claim 1 , further comprising : a route planning (travel route) component that generates routes likely to be utilized to travel to candidate destinations and determines time estimates associated with the routes .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (travel data) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data (travel data) during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time to a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (travel data) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data (travel data) during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time to a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20110282571A1 CLAIM 1 . At least one computer-readable storage medium encoded with instructions that , when executed perform a method that facilitates determining one or more destinations of a user , the method comprising : receiving input data about the user , the user data indicating at least one of : the user' ; s specialized knowledge or historical driving efficiencies or historical driving times ; and determining travel data during a trip ; determining a likelihood for each of a plurality of candidate destinations based at least in part on the received input data about the user and the travel data , the likelihood indicating , for each of the plurality of candidate destinations , a likelihood that the candidate destination is the destination of the trip , the likelihood being a trip time likelihood based at least in part on an estimated time t (first data, first time, first signal) o a candidate destination and an elapsed trip time ; and predicting one or more destinations for the trip based on the likelihoods for the plurality of candidate destinations .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20130063282A1 Filed: 2011-05-30 Issued: 2013-03-14 Roadway detection (Original Assignee) Central Signal LLC (Current Assignee) Central Signal LLC David E. Baldwin, Ahtasham ASHRAF
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) (radar sensor) regarding a first person at a first location (warning device) at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals . US20130063282A1 CLAIM 57 . A roadway incident detection and warning system characterized by : a substation coupled to wirelessly to the control station and positioned adjacent to a roadway ; and a plurality of spaced apart sensor units embedded in the roadway , wherein each sensor unit comprises : a three-dimensional anisotropic magnetoresistive (AMR) sensor element configured to generate three-dimensional analog waveform data when a motor vehicle passes within a minimum sensing distance from the sensor element ; a waveform data converter coupled to the AMR sensor element configured to filter and convert the generated waveform data from the sensor element to generate time-stamped , digital waveform data ; a processor coupled to the waveform data converter and configured to process the digital waveform data to generate at least one of the following : vehicle information , traffic information ; a radio coupled to the processor and configured to transmit and receive at least one of the following : data and information concerning digital waveform data generated by the sensor unit , instructions from the substation , updates from the substation , data and information concerning digital waveform data generated by other sensor units ; wherein each sensor unit is configured to process collected analog waveform data to generate information concerning at least one of the following : vehicle average speed , average traffic flow speed , rate of change of speed , consecutive vehicle spacing ; further wherein one or more warning device (first location) s are activated and deactivated based on the generated information by at least one of the following : one of the sensor units , the substation , the control station . US20130063282A1 CLAIM 61 . The roadway incident detection and warning system of claim 60 wherein each substation comprises : communication apparatus configured to transmit and receive data comprising one of the following : airborne sensor platform sensor transmissions generated by video , infrared , radar sensor (receiving first data) s , warning light activation/deactivation notifications , status requests to and from the control station , setup/configuration commands from substation etc comprising IEEE 802 . 15 . 4 wireless transceiver , 5 . 9 GHz Dedicated Short Range Communication (DSRC) radio interface and long range communication interfaces such as WiMax , 3G etc ; and a processor coupled to the communication apparatus and configured to do at least one of the following : control operation of the communication apparatus ; control warning signal activation and deactivation ; receive and transmit data through the communication apparatus ; decode and process messages destined for the substation ; provide substation testing and configuration features .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (warning device) is within a first contagious zone of a first signal (time t) tracking device .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals . US20130063282A1 CLAIM 57 . A roadway incident detection and warning system characterized by : a substation coupled to wirelessly to the control station and positioned adjacent to a roadway ; and a plurality of spaced apart sensor units embedded in the roadway , wherein each sensor unit comprises : a three-dimensional anisotropic magnetoresistive (AMR) sensor element configured to generate three-dimensional analog waveform data when a motor vehicle passes within a minimum sensing distance from the sensor element ; a waveform data converter coupled to the AMR sensor element configured to filter and convert the generated waveform data from the sensor element to generate time-stamped , digital waveform data ; a processor coupled to the waveform data converter and configured to process the digital waveform data to generate at least one of the following : vehicle information , traffic information ; a radio coupled to the processor and configured to transmit and receive at least one of the following : data and information concerning digital waveform data generated by the sensor unit , instructions from the substation , updates from the substation , data and information concerning digital waveform data generated by other sensor units ; wherein each sensor unit is configured to process collected analog waveform data to generate information concerning at least one of the following : vehicle average speed , average traffic flow speed , rate of change of speed , consecutive vehicle spacing ; further wherein one or more warning device (first location) s are activated and deactivated based on the generated information by at least one of the following : one of the sensor units , the substation , the control station .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (warning device) is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (long range) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals . US20130063282A1 CLAIM 57 . A roadway incident detection and warning system characterized by : a substation coupled to wirelessly to the control station and positioned adjacent to a roadway ; and a plurality of spaced apart sensor units embedded in the roadway , wherein each sensor unit comprises : a three-dimensional anisotropic magnetoresistive (AMR) sensor element configured to generate three-dimensional analog waveform data when a motor vehicle passes within a minimum sensing distance from the sensor element ; a waveform data converter coupled to the AMR sensor element configured to filter and convert the generated waveform data from the sensor element to generate time-stamped , digital waveform data ; a processor coupled to the waveform data converter and configured to process the digital waveform data to generate at least one of the following : vehicle information , traffic information ; a radio coupled to the processor and configured to transmit and receive at least one of the following : data and information concerning digital waveform data generated by the sensor unit , instructions from the substation , updates from the substation , data and information concerning digital waveform data generated by other sensor units ; wherein each sensor unit is configured to process collected analog waveform data to generate information concerning at least one of the following : vehicle average speed , average traffic flow speed , rate of change of speed , consecutive vehicle spacing ; further wherein one or more warning device (first location) s are activated and deactivated based on the generated information by at least one of the following : one of the sensor units , the substation , the control station . US20130063282A1 CLAIM 61 . The roadway incident detection and warning system of claim 60 wherein each substation comprises : communication apparatus configured to transmit and receive data comprising one of the following : airborne sensor platform sensor transmissions generated by video , infrared , radar sensors , warning light activation/deactivation notifications , status requests to and from the control station , setup/configuration commands from substation etc comprising IEEE 802 . 15 . 4 wireless transceiver , 5 . 9 GHz Dedicated Short Range Communication (DSRC) radio interface and long range (medium proximity zone) communication interfaces such as WiMax , 3G etc ; and a processor coupled to the communication apparatus and configured to do at least one of the following : control operation of the communication apparatus ; control warning signal activation and deactivation ; receive and transmit data through the communication apparatus ; decode and process messages destined for the substation ; provide substation testing and configuration features .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) (radar sensor) regarding a first person at a first location (warning device) at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20130063282A1 CLAIM 48 . The system of claim 47 wherein the digital vehicle identification data and/or roadway condition data are used at least in part for at least one of the following : detecting in real time t (first data, first time, first signal) raffic congestion , detecting in real time disabled/stopped vehicles , detecting in real time accidents , controlling traffic light signals , controlling in real time roadway warning signals . US20130063282A1 CLAIM 57 . A roadway incident detection and warning system characterized by : a substation coupled to wirelessly to the control station and positioned adjacent to a roadway ; and a plurality of spaced apart sensor units embedded in the roadway , wherein each sensor unit comprises : a three-dimensional anisotropic magnetoresistive (AMR) sensor element configured to generate three-dimensional analog waveform data when a motor vehicle passes within a minimum sensing distance from the sensor element ; a waveform data converter coupled to the AMR sensor element configured to filter and convert the generated waveform data from the sensor element to generate time-stamped , digital waveform data ; a processor coupled to the waveform data converter and configured to process the digital waveform data to generate at least one of the following : vehicle information , traffic information ; a radio coupled to the processor and configured to transmit and receive at least one of the following : data and information concerning digital waveform data generated by the sensor unit , instructions from the substation , updates from the substation , data and information concerning digital waveform data generated by other sensor units ; wherein each sensor unit is configured to process collected analog waveform data to generate information concerning at least one of the following : vehicle average speed , average traffic flow speed , rate of change of speed , consecutive vehicle spacing ; further wherein one or more warning device (first location) s are activated and deactivated based on the generated information by at least one of the following : one of the sensor units , the substation , the control station . US20130063282A1 CLAIM 61 . The roadway incident detection and warning system of claim 60 wherein each substation comprises : communication apparatus configured to transmit and receive data comprising one of the following : airborne sensor platform sensor transmissions generated by video , infrared , radar sensor (receiving first data) s , warning light activation/deactivation notifications , status requests to and from the control station , setup/configuration commands from substation etc comprising IEEE 802 . 15 . 4 wireless transceiver , 5 . 9 GHz Dedicated Short Range Communication (DSRC) radio interface and long range communication interfaces such as WiMax , 3G etc ; and a processor coupled to the communication apparatus and configured to do at least one of the following : control operation of the communication apparatus ; control warning signal activation and deactivation ; receive and transmit data through the communication apparatus ; decode and process messages destined for the substation ; provide substation testing and configuration features .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US9258680B2 Filed: 2011-05-20 Issued: 2016-02-09 Location-transmitting device for determining location of a wireless communication device (Original Assignee) Empire Technology Development LLC (Current Assignee) ATESTRAW LICENSING LLC Elliott Drucker
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (transmitting device, database entry) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (transmitting radio, short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device (receiving second data) ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party . US9258680B2 CLAIM 5 . The method of claim 1 , wherein the format of the location data is selected from the group consisting of latitude/longitude coordinates , street address , street address with unit number , raw GPS data , a location-specific code corresponding to a location database entry (receiving second data) , and a combination thereof .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (transmitting radio, short range) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (transmitting radio, short range) being positive .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (transmitting radio, short range) is positive , performing the method with a third person relative to the second person .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (transmitting radio, short range) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (transmitting radio, short range) based on historical travel data .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (transmitting radio, short range) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (transmitting radio, short range) in real time .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (transmitting device, database entry) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (transmitting radio, short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US9258680B2 CLAIM 1 . In a wireless communication device , a method of transmitting location data for a location of the wireless communication device , the method comprising : using a short range (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) radio communication protocol to receive , without prior interrogation , radio signals from any nearby autonomously transmitting radio (proximity relationship, negative proximity relationship, medium proximity, proximity relationship database) -transmitting device (receiving second data) ; detecting the location data in a single radio signal from a nearby autonomously transmitting radio-transmitting device disposed at the location , wherein the single radio signal is the strongest radio signal that includes location data and is received by the wireless communication device ; and transmitting the location data to a third party . US9258680B2 CLAIM 5 . The method of claim 1 , wherein the format of the location data is selected from the group consisting of latitude/longitude coordinates , street address , street address with unit number , raw GPS data , a location-specific code corresponding to a location database entry (receiving second data) , and a combination thereof .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20110169959A1 Filed: 2011-01-05 Issued: 2011-07-14 Systems And Methods For Analyzing Event Data (Original Assignee) ISOLYNX LLC (Current Assignee) ISOLYNX LLC Douglas J. DeAngelis, Kirk M. Sigel, Edward G. Evansen
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (graphical information, start condition, third time, repeating step) regarding a first person at a first location at a first time (graphical information, start condition, third time, repeating step) , wherein the first person has a contagion ; receiving second data regarding a second person (specific p) at a second location at a second time (first time interval, second time, when one) ; determining whether the first location is within a proximity distance (graphical information, start condition, third time, repeating step) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (graphical information, start condition, third time, repeating step) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20110169959A1 CLAIM 1 . A computer-implemented method for determining a target situation in an event comprising : receiving positional information including the relative positions of a first plurality of selected participants in the event ; detecting , in real-time , aggregate motion of the selected participants using the positional information ; determining that the target situation has occurred when at least one change in the aggregate motion occurs in accordance with a predetermined characteristic during a first time interval (second time) . US20110169959A1 CLAIM 5 . The method of claim 3 , wherein the aggregate motion remains below a second threshold value for a second time (second time) interval prior to the first time interval . US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation . US20110169959A1 CLAIM 14 . A computer-implemented method for predicting the behavior of a team of interest in an event comprising : establishing paths of each player in a selected group , for the team of interest , for the duration of a play in the event to establish a dynamic play execution ; comparing the dynamic play execution against a library of standard plays for the team of interest to find a matching standard play ; determining path deviations for each said path in the dynamic play execution , relative to corresponding standard paths in the matching standard play ; logging the deviations and associated attributes in a database ; accessing the database to identify correlations between the path deviations and outcomes of the matching standard plays ; tabulating a percentage of times specific plays were run by the team of interest in a specific type of game situation when one (second time) of the deviations was present ; comparing the type of play executed in the specific type of game situation when one of the deviations was present , with the type of play executed when the play was executed without one of the deviations ; and generating a report including the predicted behavior of the team of interest as a function of deviant play execution and the specific type of game situation , for the team of interest . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (graphical information, start condition, third time, repeating step) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (graphical information, start condition, third time, repeating step) tracking device .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (graphical information, start condition, third time, repeating step) and second data are real time data or historical data .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (graphical information, start condition, third time, repeating step) is designated to be within a contagion timeframe , and the second time (first time interval, second time, when one) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20110169959A1 CLAIM 1 . A computer-implemented method for determining a target situation in an event comprising : receiving positional information including the relative positions of a first plurality of selected participants in the event ; detecting , in real-time , aggregate motion of the selected participants using the positional information ; determining that the target situation has occurred when at least one change in the aggregate motion occurs in accordance with a predetermined characteristic during a first time interval (second time) . US20110169959A1 CLAIM 5 . The method of claim 3 , wherein the aggregate motion remains below a second threshold value for a second time (second time) interval prior to the first time interval . US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 14 . A computer-implemented method for predicting the behavior of a team of interest in an event comprising : establishing paths of each player in a selected group , for the team of interest , for the duration of a play in the event to establish a dynamic play execution ; comparing the dynamic play execution against a library of standard plays for the team of interest to find a matching standard play ; determining path deviations for each said path in the dynamic play execution , relative to corresponding standard paths in the matching standard play ; logging the deviations and associated attributes in a database ; accessing the database to identify correlations between the path deviations and outcomes of the matching standard plays ; tabulating a percentage of times specific plays were run by the team of interest in a specific type of game situation when one (second time) of the deviations was present ; comparing the type of play executed in the specific type of game situation when one of the deviations was present , with the type of play executed when the play was executed without one of the deviations ; and generating a report including the predicted behavior of the team of interest as a function of deviant play execution and the specific type of game situation , for the team of interest . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (graphical information, start condition, third time, repeating step) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (graphical information, start condition, third time, repeating step) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 26 . The method of claim 24 , further including calculating a metric indicating the size of the participant in the image of the video stream , each time new location (medium proximity zone) information arrives for the participants , wherein the metric is used to determine the size of the highlighting shape , and is based on information including the video camera location , the location of the participant , the pan & ; tilt settings of a camera originating the video stream , and the zoom level of the camera . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (graphical information, start condition, third time, repeating step) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (specific p) does not have the contagion prior to the proximity relationship being positive .	US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (specific p) .	US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (graphical information, start condition, third time, repeating step) on a server computing system , which is stored as either positive or negative .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information, threshold value, first threshold) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20110169959A1 CLAIM 3 . The method of claim 1 , wherein the target situation is the start of a play in the event , and wherein the predetermined characteristic includes an increase in the aggregate motion of at least a first threshold (negative proximity) amount during the first time interval . US20110169959A1 CLAIM 5 . The method of claim 3 , wherein the aggregate motion remains below a second threshold value (negative proximity) for a second time interval prior to the first time interval . US20110169959A1 CLAIM 26 . The method of claim 24 , further including calculating a metric indicating the size of the participant in the image of the video stream , each time new location information (negative proximity) arrives for the participants , wherein the metric is used to determine the size of the highlighting shape , and is based on information including the video camera location , the location of the participant , the pan & ; tilt settings of a camera originating the video stream , and the zoom level of the camera .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (graphical information, start condition, third time, repeating step) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (graphical information, start condition, third time, repeating step) , or when the second person (specific p) becomes infected and then is a new first person in subsequent travel .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (specific p) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (graphical information, start condition, third time, repeating step) to the new first person .	US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (graphical information, start condition, third time, repeating step) regarding a first person at a first location at a first time (graphical information, start condition, third time, repeating step) , wherein the first person is at a first event ; receiving second data regarding a second person (specific p) at a second location at a second time (first time interval, second time, when one) ; determining whether the first location is within a proximity distance (graphical information, start condition, third time, repeating step) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (graphical information, start condition, third time, repeating step) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20110169959A1 CLAIM 1 . A computer-implemented method for determining a target situation in an event comprising : receiving positional information including the relative positions of a first plurality of selected participants in the event ; detecting , in real-time , aggregate motion of the selected participants using the positional information ; determining that the target situation has occurred when at least one change in the aggregate motion occurs in accordance with a predetermined characteristic during a first time interval (second time) . US20110169959A1 CLAIM 5 . The method of claim 3 , wherein the aggregate motion remains below a second threshold value for a second time (second time) interval prior to the first time interval . US20110169959A1 CLAIM 7 . The method of claim 6 , wherein the aggregate motion remains above a third threshold value during a third time (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) interval between the first and second time intervals . US20110169959A1 CLAIM 10 . A computer-implemented method for detecting a play in an event in real time using data extracted from a tracking system providing positional information for event participants , the method comprising : identifying a pre-play target set of conditions ; identifying a system arm condition ; identifying a play start condition (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) ; establishing an aggregate motion baseline of the play ; and identifying an end-of-play condition . US20110169959A1 CLAIM 12 . A computer-implemented method for predicting the success of a play in an event comprising : determining relative positions of selected players in a static formation ; comparing the positions in the static formation against a library of standard formations to find a matching standard formation in the library corresponding to the static formation ; determining deviations in the static formation relative to the matching standard formation ; logging the deviations and associated attributes in a database ; accessing play data to retrieve results of previous plays executed by the opponent in a specific type of game situation ; sorting the results based on the matching standard formation and frequency of plays in the specific game situation ; tabulating a percentage of times specific p (second person) lays were run from the corresponding standard formation in the specific type of game situation ; comparing outcomes of plays using the deviations with outcomes of plays using the matching standard formation ; and generating a report including the relative success of the plays using the deviations and matching standard formation . US20110169959A1 CLAIM 14 . A computer-implemented method for predicting the behavior of a team of interest in an event comprising : establishing paths of each player in a selected group , for the team of interest , for the duration of a play in the event to establish a dynamic play execution ; comparing the dynamic play execution against a library of standard plays for the team of interest to find a matching standard play ; determining path deviations for each said path in the dynamic play execution , relative to corresponding standard paths in the matching standard play ; logging the deviations and associated attributes in a database ; accessing the database to identify correlations between the path deviations and outcomes of the matching standard plays ; tabulating a percentage of times specific plays were run by the team of interest in a specific type of game situation when one (second time) of the deviations was present ; comparing the type of play executed in the specific type of game situation when one of the deviations was present , with the type of play executed when the play was executed without one of the deviations ; and generating a report including the predicted behavior of the team of interest as a function of deviant play execution and the specific type of game situation , for the team of interest . US20110169959A1 CLAIM 15 . A computer-implemented method for annotating a video feed of an event comprising : receiving the video feed of at least part of the event ; receiving positional information from a tracking system including the position of a selected participant in the event ; determining the path of travel of the participant from the positional information ; and overlaying , onto the video feed , graphical information (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) indicating the path of travel , and graphical information identifying the participant . US20110169959A1 CLAIM 28 . A computer-implemented method for automating video filming of a game on a field comprising : (a) capturing , via a first video camera , for a predetermined duration , an image of a scoreboard displaying information relating to the game ; (b) upon detecting a predetermined pre-play condition , capturing , via the first camera , all of the players on the field for the length of the subsequent play ; (c) upon detecting a start of play condition , capturing , via the first camera and a second video camera , all of the players on the field until an end of play condition is detected ; and repeating step (first time, proximity time, first persons, first data, medium proximity, proximity distance, proximity relationship database, first signal) s (a)-(c) until the end of the game .

US20120136959A1

Filed: 2010-11-29 Issued: 2012-05-31

Determining demographics based on user interaction

(Original Assignee) VIRAL HEAT Inc; ViralHeat Inc (Current Assignee) VOCUS NM LLC

Rajeev Anand Kadam, Vishal Harshvardhan Sankhla

US10198779B2
CLAIM 7 . The method of claim 1 , wherein the proximity time period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ;

within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ;

within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ;

and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .

US20120136959A1
CLAIM 18 . A non-transitory computer-readable storage medium having (medium timeframe) embodied thereon a program , the program being executable by a processor to perform a method for determining demographics based on user interaction , the method comprising : maintaining information regarding a plurality of demographics in memory , each demographic associated with a plurality of indicators ;
accessing information regarding user interaction related to an item of interest ;
identifying one or more indicators based on the user interaction information associated with a user ;
determining that the user belongs to one or more demographics based on the identified indicators ;
and generating a report including the determination that the user belongs to the one or more demographics .

US10198779B2
CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (more data sources) or more of the following : providing travel instructions to travel away from a contagion zone ;

providing travel instructions to a safe zone ;

modulating traffic lights on the predicted travel route .

US20120136959A1
CLAIM 5 . The method of claim 1 , wherein the item of interest is published content and wherein the user interaction information related to the published content is accessed over a communication network from one or more data sources (performing one) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2011059308A2 Filed: 2010-10-12 Issued: 2011-05-19 Personal protection system with automatic emergency contact notification based on registered events (Original Assignee) Chen Shiang Khoo; Wai Lin Winnie Wong Chen Shiang Khoo, Wai Lin Winnie Wong
US10198779B2 CLAIM 1 . A method of determining proximity relationships (time limit) , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2011059308A2 CLAIM 4 The ' ; safety confirmation' ; message as in claim 6 , is a setting of the tolerable threshold time limit (proximity relationships) which the system will wait and decide whether to set-off the emergency alert notification is preset during the first time (first time) registration of the service .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (Global Positioning) .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	WO2011059308A2 CLAIM 4 The ' ; safety confirmation' ; message as in claim 6 , is a setting of the tolerable threshold time limit which the system will wait and decide whether to set-off the emergency alert notification is preset during the first time (first time) registration of the service .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning) , which is stored as either positive or negative .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning) .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data (Global Positioning) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (time limit) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	WO2011059308A2 CLAIM 4 The ' ; safety confirmation' ; message as in claim 6 , is a setting of the tolerable threshold time limit (proximity relationships) which the system will wait and decide whether to set-off the emergency alert notification is preset during the first time registration of the service .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	WO2011059308A2 CLAIM 13 . The personal protection system as defined will be able to locate the nearest possible location of the said individual using the Global Positioning (server computing system, travel data) System (or other location tracking technology) to track his wireless device subject to the individual subscribed to the said service with the telephone network provider .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (time limit) , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2011059308A2 CLAIM 4 The ' ; safety confirmation' ; message as in claim 6 , is a setting of the tolerable threshold time limit (proximity relationships) which the system will wait and decide whether to set-off the emergency alert notification is preset during the first time (first time) registration of the service .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN102484770A Filed: 2010-08-20 Issued: 2012-05-30 用于位置感知设备的位置历史 (Original Assignee) 苹果公司罗纳德·K·黄
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (时间戳) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN102484770A CLAIM 1 . 一种由位置感知设备执行的计算机实现的方法，该方法包括：配置所述位置感知设备的处理器来在时间跨度上收集从许多网络发射机广播的网络信息；以及将所述网络信息和对应的时间戳 (first time) 作为位置历史数据存储在数据库中。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (时间戳) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN102484770A CLAIM 1 . 一种由位置感知设备执行的计算机实现的方法，该方法包括：配置所述位置感知设备的处理器来在时间跨度上收集从许多网络发射机广播的网络信息；以及将所述网络信息和对应的时间戳 (first time) 作为位置历史数据存储在数据库中。
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (的发射) or other communicable entity .	CN102484770A CLAIM 26 . —种由位置感知设备执行的计算机实现的方法，该方法包括：配置所述位置感知设备的处理器来在时间跨度上收集从许多网络发射机广播的发射 (radiation emitter) 机标识符；将所述发射机标识符转换成位置坐标；将所述位置坐标和对应的时间戳存储在所述位置感知设备的数据库中；接收指定搜索时间跨度的搜索查询；响应于所述搜索查询，生成包括标识所述位置感知设备在所述搜索时间跨度上的位置历史的标记的地图视图，所述位置历史基于与所述搜索时间跨度内的时间戳相对应的位置坐标；以及在所述位置感知设备的显示器上显示所述地图视图和标记。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (时间戳) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN102484770A CLAIM 1 . 一种由位置感知设备执行的计算机实现的方法，该方法包括：配置所述位置感知设备的处理器来在时间跨度上收集从许多网络发射机广播的网络信息；以及将所述网络信息和对应的时间戳 (first time) 作为位置历史数据存储在数据库中。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2011019525A2 Filed: 2010-07-30 Issued: 2011-02-17 System for relative positioning of access points in a real time locating system (Original Assignee) Accenture Global Services Limited Ernest K. Johnson, Jr., Mark J. Davisson
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2011019525A2 CLAIM 25 . A gas detection and locating device , comprising : a gas detector for monitoring an amount of a gas within a proximity of the gas detector , wherein the gas detector generates a gas data item corresponding to the amount of the gas ; a location device operatively connected to the gas detector , wherein the location device generates a location data item for deriving a location of the location device ; and an interface operatively connected to the gas detector and the location device , the interface for wirelessly communicating with a remote server , wherein the interface communicates the gas data item and the location data item to the remote server when the amount of gas satisfies a criteria or the location device remains motionless for a time interval (second location) .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (layout information) on a server computing system , which is stored as either positive or negative .	WO2011019525A2 CLAIM 1 . A method for relative positioning of access points in a real time locating system , the method comprising : receiving layout information (proximity relationship database) of a work area , wherein the layout information comprises architectural attributes and infrastructure attributes of the work area ; determining a number of a plurality of access points to position in the work area , wherein the determining is based on the architectural attributes of the work area ; determining a placement in the work area of at least one test radio frequency tag , wherein the determining is based on the infrastructure attributes of the work area ; determining , by a processor , a positioning of the plurality of access points in the work area , wherein the positioning substantially maximizes a coverage and an accuracy of locating the at least one test radio frequency tag in the work area ; and determine a repositioning of at least one of the plurality of access points when the coverage and accuracy do not satisfy a threshold , and providing a graphical representation of the positioning of each of the plurality of access points in the work area , relative to one another , when the coverage and the accuracy satisfy the threshold .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (performing one) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2011019525A2 CLAIM 13 . The method of claim 1 further comprising performing one (performing one) or more verification tests to verify the positioning of the plurality of access points .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2011019525A2 CLAIM 25 . A gas detection and locating device , comprising : a gas detector for monitoring an amount of a gas within a proximity of the gas detector , wherein the gas detector generates a gas data item corresponding to the amount of the gas ; a location device operatively connected to the gas detector , wherein the location device generates a location data item for deriving a location of the location device ; and an interface operatively connected to the gas detector and the location device , the interface for wirelessly communicating with a remote server , wherein the interface communicates the gas data item and the location data item to the remote server when the amount of gas satisfies a criteria or the location device remains motionless for a time interval (second location) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2012013228A1 Filed: 2010-07-28 Issued: 2012-02-02 A method and a system for monitoring traffic of vehicles (Original Assignee) Traffic Network Solutions, S. L. Robert Nordentoft, Gabriel Felipe GARRIDO GONZÁLEZ, David PÉREZ CASARES
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (geographical locations, time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (receiving identifying information) period (receiving identifying information) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (second sensor, short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (second sensor, short range) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (second sensor, short range) being positive .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (second sensor, short range) is positive , performing the method with a third person relative to the second person .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (second sensor, short range) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (second sensor, short range) based on historical travel data .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (second sensor, short range) based on historical travel data , and performing one (identifying step) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step (performing one) : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (second sensor, short range) in real time .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (geographical locations, time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (receiving identifying information) period (receiving identifying information) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (second sensor, short range) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2012013228A1 CLAIM 1 . - A method for monitoring traffic of vehicles , comprising the steps of : a) detecting a plurality of mobile devices (Mv , Mp) at two respective geographical positions , at two different moments , by means of receiving by a first (D1) and a second (D2) sensor devices disposed , respectively , at a first and a second known locations along a roadway (R) , identifying information related to said mobile devices (Mv , Mp) contained in wireless signals transmitted there from according to a wireless short range (medium proximity, proximity relationship, proximity relationship database) technology , and b) identifying , from said plurality of detected mobile devices (Mv , Mp) , slow- moving mobile devices (Mp) having a velocity being below an exclusion velocity limit , and monitoring traffic of the mobile devices (Mv) which are not said slow-moving mobile devices (Mp) ; said method being characterised in that it comprises , prior to said slow-moving mobile devices (Mp) identifying step : i) determining which of said plurality of mobile devices (Mv , Mp) detected twice are associated to vehicles (V1 , V2 , V3) , by processing , for each of said plurality of mobile devices (Mv , Mp) , at least part of said received identifying information to find out the type of mobile device it relates to ; and ii) establishing said exclusion velocity limit dynamically according to the velocities of the mobile devices (Mv) determined to be associated to vehicles (V1 , V2 , V3) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2012000530A1 Filed: 2010-07-02 Issued: 2012-01-05 Provision of database objects for destination search by a navigation device (Original Assignee) Elektrobit Automotive Gmbh Stephan Puchtler
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (one edge) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	WO2012000530A1 CLAIM 6 . The method of any of the preceding claims , wherein each polygon (P) is defined by edges (E) , and wherein the at least one destination point is determined based on at least one edge (second location) (E) of the polygon (P) of the retrieved area object . WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one second) is within a first contagious zone of a first signal (one second) tracking device .	WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (one second) and second data are real time data or historical data .	WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one second) is one or more of : within a strong proximity zone of a first signal (one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database (route guidance) on a server computing system , which is stored as either positive or negative .	WO2012000530A1 CLAIM 1 . A method of providing addressable database objects for route calculation by a navigation device (100) to geographical areas , the method comprising : providing (602) a map database (120) comprising at least area objects , wherein each area object is associated with an area name and a polygon (P) representative of a geographical area ; retrieving (604) at least one area object from the map database (120) ; determining (606) , based on the polygon (P) associated with the retrieved area object , at least one destination point for route guidance (proximity relationship database) to the geographical area ; generating (608) a first point object comprising the area name associated with the retrieved area object and the at least one destination point ; and making (610) the first point object , or any database object derived therefrom , available for being addressed by the area name during a destination search .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (one edge) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	WO2012000530A1 CLAIM 6 . The method of any of the preceding claims , wherein each polygon (P) is defined by edges (E) , and wherein the at least one destination point is determined based on at least one edge (second location) (E) of the polygon (P) of the retrieved area object . WO2012000530A1 CLAIM 11 . The method of any of the preceding claims , wherein the map database (120) further comprises second point objects , wherein each second each point object is associated with at least one destination point and a point name , and further comprising determining , based on the polygon (P) associated with the retrieved area object , at least one second (first data, first location, first signal, first signal tracking device) point object ; and linking the at least one second point object with the first point object .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2011155936A1 Filed: 2010-06-10 Issued: 2011-12-15 System and method for determining locations within points of interest (Original Assignee) Tele Atlas North America Inc. Shawn Griffin
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (personal navigation device) of an MCD or a person having a positive proximity relationship based on historical travel data .	WO2011155936A1 CLAIM 7 . The method of claim 1 , wherein the probe trace is received from a personal navigation device (travel route) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (personal navigation device) of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (geographic coordinate) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2011155936A1 CLAIM 1 . A method for determining multiple locations within a point of interest , the method comprising : deriving a plurality of geographic coordinate (providing travel instructions) s associated with the point of interest from a probe trace ; associating the plurality of geographic coordinates with particular locations within the point of interest based on one or more inferences ; and storing the particular locations in a database as a subset of the point of interest . WO2011155936A1 CLAIM 7 . The method of claim 1 , wherein the probe trace is received from a personal navigation device (travel route) .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (personal navigation device) of a MCD or a person having a negative or positive proximity relationship in real time .	WO2011155936A1 CLAIM 7 . The method of claim 1 , wherein the probe trace is received from a personal navigation device (travel route) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100283630A1 Filed: 2010-05-03 Issued: 2010-11-11 Sports telemetry system for collecting performance metrics and data (Original Assignee) Advanced Technologies Group LLC (Current Assignee) SPORTS TRAXX Inc Ramon A. Alonso
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (different locations) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person (said signal) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (third signals) period (third signals) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (third signals) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 3 . The method of claim 2 , wherein the steps of receiving first and second signals comprises receiving said first and second signals at least at three different locations (first location) . US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (different locations) is within a first contagious zone of a first signal (first signal) tracking device .	US20100283630A1 CLAIM 2 . A method for collecting sports data comprising the steps of : receiving , from one or more telemetry modules mounted , affixed , or embedded on at least one sports participant , first signal (first signal) s carrying data corresponding to identification , movement , position , or condition of said at least one sports participant ; receiving , from one or more telemetry modules mounted , affixed , or embedded in a sports object , second signals carrying data corresponding to identification , movement , position , or condition of said sports object ; and processing the received first and second signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 3 . The method of claim 2 , wherein the steps of receiving first and second signals comprises receiving said first and second signals at least at three different locations (first location) .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (different locations) is one or more of : within a strong proximity zone of a first signal (first signal) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20100283630A1 CLAIM 2 . A method for collecting sports data comprising the steps of : receiving , from one or more telemetry modules mounted , affixed , or embedded on at least one sports participant , first signal (first signal) s carrying data corresponding to identification , movement , position , or condition of said at least one sports participant ; receiving , from one or more telemetry modules mounted , affixed , or embedded in a sports object , second signals carrying data corresponding to identification , movement , position , or condition of said sports object ; and processing the received first and second signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 3 . The method of claim 2 , wherein the steps of receiving first and second signals comprises receiving said first and second signals at least at three different locations (first location) .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (third signals) period (third signals) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (said signal) does not have the contagion prior to the proximity relationship (third signals) being positive .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (third signals) is positive , performing the method with a third person relative to the second person (said signal) .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (third signals) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (third signals) based on historical travel data .	US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (third signals) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (third signals) in real time .	US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (said signal) becomes infected and then is a new first person in subsequent travel .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (said signal) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location (different locations) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person (said signal) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (third signals) period (third signals) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (third signals) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100283630A1 CLAIM 1 . A method for collecting sports data comprising the steps of : measuring , at one or more sensor modules mounted , affixed , or embedded on at least one sports participant , data corresponding to identification , movement , position , or condition of said at least one sports participant ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said at least one sports participant , signals carrying said data corresponding to identification , movement , position , or condition of said at least one sports participant ; measuring , at one or more sensor modules mounted , affixed , or embedded in a sports object , data corresponding to identification , movement , position , or condition of said sports object ; broadcasting , from one or more telemetry modules mounted , affixed , or embedded on said sports object , signals carrying said data corresponding to identification , movement , position , or condition of said sports object ; receiving said signal (second person) s from said telemetry modules mounted , affixed , or embedded on the at least one sports participant and the telemetry modules mounted , affixed , or embedded on the sports object ; and processing the received signals to calculate position information or movement information of a sports object or a sports participant in relation to a playing surface of a sports event . US20100283630A1 CLAIM 3 . The method of claim 2 , wherein the steps of receiving first and second signals comprises receiving said first and second signals at least at three different locations (first location) . US20100283630A1 CLAIM 17 . The method of claim 2 , further comprising : receiving , from one or more telemetry modules mounted , affixed , or embedded in an object placed in a location where the sports event takes place , third signals (proximity time period, proximity time, proximity relationship) carrying data corresponding proximity of the sports object or sports participant to said object placed in a location where the sports event takes place .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100254282A1 Filed: 2010-04-01 Issued: 2010-10-07 Method and system for a traffic management network (Original Assignee) TrafficCast International Inc (Current Assignee) TrafficCast International Inc Peter Chan, Neal J. Campbell, Tim Courtney, Eric Hauk, Afan Ottenheimer
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (configured to communicate information) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module . US20100254282A1 CLAIM 12 . An apparatus for collecting traffic data , comprising : a cellular communications module connected to a processor ; a networking communications module connected to the processor ; and a device detection module connected to the processor configured to detect devices associated with traffic , wherein the networking communications module is configured to communicate information (second location) associated with the devices associated with traffic to a central processing station . US20100254282A1 CLAIM 19 . The method of claim 18 , further comprising : receiving a first time (first time) stamp associated with the device identifier and the first node ; receiving a second time (second time) stamp associated with the device identifier and a second node ; and tracking the motion of the device based on the first time stamp , the second time stamp , the location of the first node , and the location of the second node .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (one second) is within a first contagious zone of a first signal (one second) tracking device .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (one second) and second data are real time data or historical data .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20100254282A1 CLAIM 19 . The method of claim 18 , further comprising : receiving a first time (first time) stamp associated with the device identifier and the first node ; receiving a second time (second time) stamp associated with the device identifier and a second node ; and tracking the motion of the device based on the first time stamp , the second time stamp , the location of the first node , and the location of the second node .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (one second) is one or more of : within a strong proximity zone of a first signal (one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (media access control) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20100254282A1 CLAIM 5 . The system of claim 4 , wherein the device identifier comprises a media access control (second persons) address .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (one second) regarding a first person at a first location (one second) at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (configured to communicate information) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100254282A1 CLAIM 1 . A system for collecting traffic data , comprising : at least one first node comprising : a cellular communications module connected to a first processor ; and a first networking communications module connected to the first processor ; and at least one second (first data, first location, first signal, first signal tracking device) node comprising : a second networking communications module connected to a second processor , wherein the at least one first node and the at least one second node form a network via the first networking communications module and the second networking communications module ; and a device detection module connected to the second processor that detects devices associated with traffic ; and a central processing station linked to the at least one first node via the cellular communications module , wherein the at least one second node communicates information associated with the devices associated with traffic to the at least one first node via the network , and wherein the at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module . US20100254282A1 CLAIM 12 . An apparatus for collecting traffic data , comprising : a cellular communications module connected to a processor ; a networking communications module connected to the processor ; and a device detection module connected to the processor configured to detect devices associated with traffic , wherein the networking communications module is configured to communicate information (second location) associated with the devices associated with traffic to a central processing station . US20100254282A1 CLAIM 19 . The method of claim 18 , further comprising : receiving a first time (first time) stamp associated with the device identifier and the first node ; receiving a second time (second time) stamp associated with the device identifier and a second node ; and tracking the motion of the device based on the first time stamp , the second time stamp , the location of the first node , and the location of the second node .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100248746A1 Filed: 2010-03-29 Issued: 2010-09-30 Predictive search with location-based application (Original Assignee) Aha Mobile Inc (Current Assignee) Harman International Industries Inc Rafael Saavedra, Edwin Navarrete
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100248746A1 CLAIM 1 . An apparatus for persistently determining predictive search results for display on a moving mobile client , the apparatus comprising : a communication module for persistently receiving a current location of the moving mobile client ; a location determination module , communicatively couple (first data, mobile computing device, receiving first data) d to the communication module , for persistently locating the moving mobile client relative to a road network map based on the received current location ; a prediction tree generator , communicatively coupled to the location determination module , for persistently predicting a plurality of routes that can be traversed by the moving mobile client on the road network map , the plurality of predicted routes re-predicted responsive to a change in the current location of the moving mobile client ; and a point of interest determination module , communicatively coupled to the prediction tree generator , for persistently determining a plurality of points of interest on the plurality of predicted routes based on a search criteria associated with the moving mobile client .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (communicatively couple) and second data is data from a signal of a mobile computing device (communicatively couple) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20100248746A1 CLAIM 1 . An apparatus for persistently determining predictive search results for display on a moving mobile client , the apparatus comprising : a communication module for persistently receiving a current location of the moving mobile client ; a location determination module , communicatively couple (first data, mobile computing device, receiving first data) d to the communication module , for persistently locating the moving mobile client relative to a road network map based on the received current location ; a prediction tree generator , communicatively coupled to the location determination module , for persistently predicting a plurality of routes that can be traversed by the moving mobile client on the road network map , the plurality of predicted routes re-predicted responsive to a change in the current location of the moving mobile client ; and a point of interest determination module , communicatively coupled to the prediction tree generator , for persistently determining a plurality of points of interest on the plurality of predicted routes based on a search criteria associated with the moving mobile client .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (communicatively couple) and second data are real time data or historical data .	US20100248746A1 CLAIM 1 . An apparatus for persistently determining predictive search results for display on a moving mobile client , the apparatus comprising : a communication module for persistently receiving a current location of the moving mobile client ; a location determination module , communicatively couple (first data, mobile computing device, receiving first data) d to the communication module , for persistently locating the moving mobile client relative to a road network map based on the received current location ; a prediction tree generator , communicatively coupled to the location determination module , for persistently predicting a plurality of routes that can be traversed by the moving mobile client on the road network map , the plurality of predicted routes re-predicted responsive to a change in the current location of the moving mobile client ; and a point of interest determination module , communicatively coupled to the prediction tree generator , for persistently determining a plurality of points of interest on the plurality of predicted routes based on a search criteria associated with the moving mobile client .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100248746A1 CLAIM 1 . An apparatus for persistently determining predictive search result (negative proximity relationship) s for display on a moving mobile client , the apparatus comprising : a communication module for persistently receiving a current location of the moving mobile client ; a location determination module , communicatively coupled to the communication module , for persistently locating the moving mobile client relative to a road network map based on the received current location ; a prediction tree generator , communicatively coupled to the location determination module , for persistently predicting a plurality of routes that can be traversed by the moving mobile client on the road network map , the plurality of predicted routes re-predicted responsive to a change in the current location of the moving mobile client ; and a point of interest determination module , communicatively coupled to the prediction tree generator , for persistently determining a plurality of points of interest on the plurality of predicted routes based on a search criteria associated with the moving mobile client . US20100248746A1 CLAIM 5 . The apparatus of claim 1 , wherein the communication module transmits to the moving mobile client an initial thin layer and a later thick layer of information about the determined plurality of points of interest , the thin layer comprising a name and a location information (negative proximity) about the determined plurality of points of interest , the thick layer comprising user generated POI information about the determined plurality of points of interest .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (communicatively couple) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100248746A1 CLAIM 1 . An apparatus for persistently determining predictive search results for display on a moving mobile client , the apparatus comprising : a communication module for persistently receiving a current location of the moving mobile client ; a location determination module , communicatively couple (first data, mobile computing device, receiving first data) d to the communication module , for persistently locating the moving mobile client relative to a road network map based on the received current location ; a prediction tree generator , communicatively coupled to the location determination module , for persistently predicting a plurality of routes that can be traversed by the moving mobile client on the road network map , the plurality of predicted routes re-predicted responsive to a change in the current location of the moving mobile client ; and a point of interest determination module , communicatively coupled to the prediction tree generator , for persistently determining a plurality of points of interest on the plurality of predicted routes based on a search criteria associated with the moving mobile client .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20110054776A1 Filed: 2010-03-05 Issued: 2011-03-03 Location-based weather update system, method, and device (Original Assignee) 21st Century Systems Inc (Current Assignee) GLOBAL WEATHER Corp Plamen V. Petrov, James Maury, Hasani Hunter
US10198779B2 CLAIM 1 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (elapsed time) regarding a second person at a second location at a second time (transmit one) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20110054776A1 CLAIM 3 . The mobile computing device of claim 1 , further comprising a timer configured to measure elapsed time (mobile computing device, receiving second data) . US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device . US20110054776A1 CLAIM 26 . The system according to claim 18 , wherein said weather data server network is further configured to store a user profile , said profile comprising a collection of one or more favorite data to be transmitted to a mobile computing device associated with said profile ; and wherein said weather data server network is configured to automatically transmit one (second time) or more favorite data in said collection to said mobile computing device .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (elapsed time) (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20110054776A1 CLAIM 3 . The mobile computing device of claim 1 , further comprising a timer configured to measure elapsed time (mobile computing device, receiving second data) .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (transmit one) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20110054776A1 CLAIM 26 . The system according to claim 18 , wherein said weather data server network is further configured to store a user profile , said profile comprising a collection of one or more favorite data to be transmitted to a mobile computing device associated with said profile ; and wherein said weather data server network is configured to automatically transmit one (second time) or more favorite data in said collection to said mobile computing device .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (touch screen) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20110054776A1 CLAIM 17 . The mobile computing device according to claim 12 , wherein said user interface comprises a touch screen (medium proximity) .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (threshold distance) period (threshold distance) is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe (medium having) , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device . US20110054776A1 CLAIM 62 . A computer-readable medium having (medium timeframe) computer-executable instructions for execution by a processing system , the computer-executable instructions for receiving weather data by a mobile computing device , the computer-readable medium comprising instructions for : determining a geospatial location of the mobile computing device based on received data signals ; and receiving updated weather data in response to a threshold condition having been met .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (data receiver) or other communicable entity .	US20110054776A1 CLAIM 1 . A mobile computing device for updating weather data , the mobile computing device including a processor and a location data receiver (radiation emitter) capable of establishing a geospatial location of the mobile computing device based on received data signals , and wherein said mobile computing device is configured to receive updated weather data in response to a threshold condition having been met .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (threshold distance) being positive .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (threshold distance) is positive , performing the method with a third person relative to the second person .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions (GPS satellite signal) to the MCD based on its proximity relationship (threshold distance) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device . US20110054776A1 CLAIM 6 . The mobile computing device according to claim 1 , wherein the location data receiver comprises a GPS receiver , and wherein the data signals comprise GPS satellite signal (travel instructions, pushing travel instructions) s .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (threshold distance) based on historical travel data .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (threshold distance) relationship based on historical travel data , and performing one or more of the following : providing travel instructions (GPS satellite signal) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device . US20110054776A1 CLAIM 6 . The mobile computing device according to claim 1 , wherein the location data receiver comprises a GPS receiver , and wherein the data signals comprise GPS satellite signal (travel instructions, pushing travel instructions) s .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (threshold distance) in real time .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (threshold distance) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships (threshold distance) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (elapsed time) regarding a second person at a second location at a second time (transmit one) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (threshold distance) period (threshold distance) with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (threshold distance) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20110054776A1 CLAIM 3 . The mobile computing device of claim 1 , further comprising a timer configured to measure elapsed time (mobile computing device, receiving second data) . US20110054776A1 CLAIM 4 . The mobile computing device of claim 1 , wherein the threshold condition comprises a threshold distance (negative proximity, proximity relationships, proximity time period, proximity time, proximity relationship, negative proximity relationship) having been traveled by the mobile computing device . US20110054776A1 CLAIM 26 . The system according to claim 18 , wherein said weather data server network is further configured to store a user profile , said profile comprising a collection of one or more favorite data to be transmitted to a mobile computing device associated with said profile ; and wherein said weather data server network is configured to automatically transmit one (second time) or more favorite data in said collection to said mobile computing device .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN102047697A Filed: 2009-05-22 Issued: 2011-05-04 用于基于周期性位置锁定生成用户简档的方法和装置 (Original Assignee) 高通股份有限公司 C·梅达, R·C·刘易斯
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN102047697A CLAIM 42 . 如权利要求36所述的移动设备，其特征在于，所述处理器进一步配置成发起包括将所述对位置锁定集合的接收 (receiving first data, receiving second data) 适配成基于同所述到访位置集合相关联的预定时隙集合的序列模式的处理。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (至少两) tracking device .	CN102047697A CLAIM 8 . 如权利要求1所述的方法，其特征在于，所述对到访位置集合排序包括标识至少两 (first signal) 个在预定观测期上具有最大停留时间的到访位置。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (至少两) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN102047697A CLAIM 8 . 如权利要求1所述的方法，其特征在于，所述对到访位置集合排序包括标识至少两 (first signal) 个在预定观测期上具有最大停留时间的到访位置。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (检测到) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CN102047697A CLAIM 41 . 如权利要求40所述的移动设备，其特征在于，所述控制位置锁定处理的频率包括当已检测到 (providing travel instructions) 所述移动设备的驻定状态达预定阈值时间时降低所述位置锁定处理的频率。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (的接收) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (的接收) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN102047697A CLAIM 42 . 如权利要求36所述的移动设备，其特征在于，所述处理器进一步配置成发起包括将所述对位置锁定集合的接收 (receiving first data, receiving second data) 适配成基于同所述到访位置集合相关联的预定时隙集合的序列模式的处理。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100004997A1 Filed: 2009-05-21 Issued: 2010-01-07 Methods and apparatus for generating user profile based on periodic location fixes (Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc Chand Mehta, Robert C. Lewis
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (player device) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100004997A1 CLAIM 3 . The method of claim 1 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (Global Positioning) .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (player device) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20100004997A1 CLAIM 3 . The method of claim 1 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning) , which is stored as either positive or negative .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning) .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (predetermined threshold) relationship based on historical travel data (Global Positioning) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes . US20100004997A1 CLAIM 41 . The mobile device of claim 40 , wherein the controlling of a frequency of location fix processing comprises reducing the frequency of location fix processing when a stationary status of the mobile device has been detected for a predetermined threshold (negative proximity) of time .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20100004997A1 CLAIM 2 . The method of claim 1 , wherein the set of location fixes comprises at least one of a set Global Positioning (server computing system, travel data) System (GPS) location fixes , a set of Assisted Global Positioning System (A-GPS) fixes , a set of Galileo system fixes , or a set of tower triangulation fixes .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (player device) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100004997A1 CLAIM 3 . The method of claim 1 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100076968A1 Filed: 2009-05-21 Issued: 2010-03-25 Method and apparatus for aggregating and presenting data associated with geographic locations (Original Assignee) Qualcomm Inc (Current Assignee) Qualcomm Inc Mark R. BOYNS, Chand Mehta, Jeffrey C. TSAY, Giridhar D. Mandyam
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (player device) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (Global Positioning) .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (new location) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20100076968A1 CLAIM 10 . The method of claim 5 , wherein the recommendation information comprises at least one new location (medium proximity zone) based on a comparison of the regional profile to a user profile associated with the user .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (player device) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning) , which is stored as either positive or negative .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning) .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data (Global Positioning) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100076968A1 CLAIM 12 . The method of claim 5 , wherein the recommendation information comprises location information (negative proximity) for a set of members of at least one social networking service associated with the user . US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning (server computing system, travel data) System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (player device) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100076968A1 CLAIM 33 . The method of claim 32 , wherein the mobile device comprises at least one of a cellular telephone , a Global Positioning System (GPS) device , a WiFi™-enabled communications device , a network-enabled personal digital assistant device , or a network-enabled media player device (proximity time) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CA2662606A1 Filed: 2009-04-15 Issued: 2009-10-18 Personalized message escrow (Original Assignee) Rave Wireless Inc (Current Assignee) Rave Wireless Inc William Todd Piett, Constantinos Nickolaos Sevdinoglou, Ghen Saito
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (time interval) at a second time (timer expires) ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval (second location) selection . CA2662606A1 CLAIM 8 . The computer-implemented method of claim 6 , further comprising : prior to the expiration of the subscriber-specified timer , delivering a warning notification to prompt the subscriber to terminate the security period ; and delivering the personalized message to the one or more predetermined recipients if the user-specified timer expires (second time) prior to a receipt of a second communication indicative of a termination of the security period associated with the subscriber . CA2662606A1 CLAIM 10 . The computer-implemented method of claim 1 , further comprising : identifying each of a plurality of prespecified check in times (proximity distance) as a respective security event trigger ; and delivering the personalized message to the one or more predetermined recipients upon detecting a violation of at least one of the plurality of security event triggers .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (timer expires) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CA2662606A1 CLAIM 8 . The computer-implemented method of claim 6 , further comprising : prior to the expiration of the subscriber-specified timer , delivering a warning notification to prompt the subscriber to terminate the security period ; and delivering the personalized message to the one or more predetermined recipients if the user-specified timer expires (second time) prior to a receipt of a second communication indicative of a termination of the security period associated with the subscriber .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity (information representative) zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CA2662606A1 CLAIM 14 . The computer-implemented method of claim 1 , further comprising : processing itinerary-related information of the personalized message against one or more directories of candidate identifiers to identify an itinerary-related companion ; and delivering both the personalized message and the information representative (medium proximity) of the itinerary-related companion to the one or more predetermined recipients upon detection of the security event trigger .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (signal representative) being positive .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (signal representative) is positive , performing the method with a third person relative to the second person .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (signal representative) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (signal representative) based on historical travel data .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (signal representative) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (signal representative) in real time .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval selection .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (security service) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	CA2662606A1 CLAIM 1 . A computer-implemented method comprising : receiving a first communication indicative of an initiation of a security period associated with a personal security service (first persons) subscriber ; receiving a personalized message provided by the subscriber ; maintaining the personalized message in an escrow storage during the security period ; and delivering the personalized message to one or more recipients upon determining an occurrence of a security event during the security period associated with the subscriber .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (security service) , or when the second person becomes infected and then is a new first person in subsequent travel .	CA2662606A1 CLAIM 1 . A computer-implemented method comprising : receiving a first communication indicative of an initiation of a security period associated with a personal security service (first persons) subscriber ; receiving a personalized message provided by the subscriber ; maintaining the personalized message in an escrow storage during the security period ; and delivering the personalized message to one or more recipients upon determining an occurrence of a security event during the security period associated with the subscriber .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (security service) to the new first person .	CA2662606A1 CLAIM 1 . A computer-implemented method comprising : receiving a first communication indicative of an initiation of a security period associated with a personal security service (first persons) subscriber ; receiving a personalized message provided by the subscriber ; maintaining the personalized message in an escrow storage during the security period ; and delivering the personalized message to one or more recipients upon determining an occurrence of a security event during the security period associated with the subscriber .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (time interval) at a second time (timer expires) ; determining whether the first location is within a proximity distance (n times) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (signal representative) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CA2662606A1 CLAIM 4 . The computer-implemented method of claim 1 , wherein receiving the first communication comprises : receiving a signal representative (proximity relationship) of a time interval (second location) selection . CA2662606A1 CLAIM 8 . The computer-implemented method of claim 6 , further comprising : prior to the expiration of the subscriber-specified timer , delivering a warning notification to prompt the subscriber to terminate the security period ; and delivering the personalized message to the one or more predetermined recipients if the user-specified timer expires (second time) prior to a receipt of a second communication indicative of a termination of the security period associated with the subscriber . CA2662606A1 CLAIM 10 . The computer-implemented method of claim 1 , further comprising : identifying each of a plurality of prespecified check in times (proximity distance) as a respective security event trigger ; and delivering the personalized message to the one or more predetermined recipients upon detecting a violation of at least one of the plurality of security event triggers .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN101545897A Filed: 2009-04-14 Issued: 2009-09-30 基于ZigBee技术的气体监控系统 (Original Assignee) 汤雄汤雄
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person (特定事件, 的状态) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (特定事件, 的状态) does not have the contagion prior to the proximity relationship being positive .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (特定事件, 的状态) .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights (网络中) on the predicted travel route .	CN101545897A CLAIM 5 . 如权利要求4所述的气体监控系统，其特征在于：所述的数据管理软件是指基于PC机平台的应用软件，为用户提供所述的测量数据访问界面，并能够通过主设备（2)访问ZigBee气体监控网络中 (traffic lights) 所有无线检测节点的测量数据，并将数据保存，为用户提供数据查询、分析或报表生成服务。
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (特定事件, 的状态) becomes infected and then is a new first person in subsequent travel .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (特定事件, 的状态) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person (特定事件, 的状态) at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN101545897A CLAIM 7 . 如权利要求6所述的气体监控系统，其特征在于：所述的唤醒是指设备响应的特定事件 (second person) ，从休眠状态恢复到正常运行状态的过程，被唤醒之后设备重新回到休眠之前的状态 (second person) 继续运行，可以正常接收、发送或处理数据，并且设备内部的数据不会因为休眠而丢失或更改。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	WO2010111833A1 Filed: 2009-04-01 Issued: 2010-10-07 Point of interest search along a route with return (Original Assignee) Decarta Inc. Richard F. Poppen, Weidong Tang
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (satellite system) .	WO2010111833A1 CLAIM 4 . A system for providing routing to a point of interest , comprising : a database storing point of interest data ; a global navigation satellite system (travel data) radio , adapted to determine a current location of a user ; a routing engine , coupled to the GPS module and the database , adapted to : identify a first set of points of interest , each point of interest in the first set reachable from a planned navigation route with a cost less than a first threshold cost ; identify a second set of points of interest , the planned navigation route reachable from each point of interest in the second set with a cost less than a second threshold cost ; determine a third set of points of interest , the third set including only the points of interest in both the first and second set ; determine a fourth set of points of interest , the fourth set including only the points of interest in the third set wherein a cost to reach the point of interest from the route plus a cost to return to the route from the point of interest is less than a third threshold cost ; and a user interface module , coupled to the routing engine , adapted to display one or more indicia of the distance to the point of interest .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (first threshold) relationship based on historical travel data (satellite system) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	WO2010111833A1 CLAIM 1 . A method for providing routing to a point of interest , the method comprising : identifying a first set of points of interest , each point of interest in the first set reachable from a planned navigation route with a cost less than a first threshold (negative proximity) cost ; identifying a second set of points of interest , the planned navigation route reachable from each point of interest in the second set with a cost less than a second threshold cost ; determining a third set of points of interest , the third set including only the points of interest in both the first and second set ; determining a fourth set of points of interest , the fourth set including only the points of interest in the third set wherein a cost to reach the point of interest from the route plus a cost to return to the route from the point of interest is less than a third threshold cost ; and displaying the fourth set of points of interest in a user interface of a navigation device . WO2010111833A1 CLAIM 4 . A system for providing routing to a point of interest , comprising : a database storing point of interest data ; a global navigation satellite system (travel data) radio , adapted to determine a current location of a user ; a routing engine , coupled to the GPS module and the database , adapted to : identify a first set of points of interest , each point of interest in the first set reachable from a planned navigation route with a cost less than a first threshold cost ; identify a second set of points of interest , the planned navigation route reachable from each point of interest in the second set with a cost less than a second threshold cost ; determine a third set of points of interest , the third set including only the points of interest in both the first and second set ; determine a fourth set of points of interest , the fourth set including only the points of interest in the third set wherein a cost to reach the point of interest from the route plus a cost to return to the route from the point of interest is less than a third threshold cost ; and a user interface module , coupled to the routing engine , adapted to display one or more indicia of the distance to the point of interest .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (satellite system) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	WO2010111833A1 CLAIM 4 . A system for providing routing to a point of interest , comprising : a database storing point of interest data ; a global navigation satellite system (travel data) radio , adapted to determine a current location of a user ; a routing engine , coupled to the GPS module and the database , adapted to : identify a first set of points of interest , each point of interest in the first set reachable from a planned navigation route with a cost less than a first threshold cost ; identify a second set of points of interest , the planned navigation route reachable from each point of interest in the second set with a cost less than a second threshold cost ; determine a third set of points of interest , the third set including only the points of interest in both the first and second set ; determine a fourth set of points of interest , the fourth set including only the points of interest in the third set wherein a cost to reach the point of interest from the route plus a cost to return to the route from the point of interest is less than a third threshold cost ; and a user interface module , coupled to the routing engine , adapted to display one or more indicia of the distance to the point of interest .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (satellite system) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	WO2010111833A1 CLAIM 4 . A system for providing routing to a point of interest , comprising : a database storing point of interest data ; a global navigation satellite system (travel data) radio , adapted to determine a current location of a user ; a routing engine , coupled to the GPS module and the database , adapted to : identify a first set of points of interest , each point of interest in the first set reachable from a planned navigation route with a cost less than a first threshold cost ; identify a second set of points of interest , the planned navigation route reachable from each point of interest in the second set with a cost less than a second threshold cost ; determine a third set of points of interest , the third set including only the points of interest in both the first and second set ; determine a fourth set of points of interest , the fourth set including only the points of interest in the third set wherein a cost to reach the point of interest from the route plus a cost to return to the route from the point of interest is less than a third threshold cost ; and a user interface module , coupled to the routing engine , adapted to display one or more indicia of the distance to the point of interest .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100250305A1 Filed: 2009-03-31 Issued: 2010-09-30 Methods and apparatus to monitor shoppers in a retail environment (Original Assignee) Nielsen Company US LLC (Current Assignee) Nielsen Company US LLC Morris Lee, Arun Ramaswamy
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (light beam) regarding a first person (first person) at a first location (first location) at a first time (first time) , wherein the first person has a contagion ; receiving second data (light beam) regarding a second person (second person) at a second location (second location) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person (first person) detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones . US20100250305A1 CLAIM 27 . An apparatus , comprising : a comparator to compare a first time (first time) stamp associated with a first location (first location) datum of a measured path of travel of a person through a monitored environment to a second time (second time) stamp associated with a person detection event indicative that the person moved proximate to a detector at a time indicated by the second timestamp ; a data interface to identify a zone of the monitored environment in which the detector is located in response to determining that the first timestamp substantially matches the second timestamp ; and a location data modifier to change a second location (second location) datum of the measured path of travel to represent a location in the identified zone . US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (light beam) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first location) is within a first contagious zone of a first signal (first signal) tracking device .	US20100250305A1 CLAIM 27 . An apparatus , comprising : a comparator to compare a first timestamp associated with a first location (first location) datum of a measured path of travel of a person through a monitored environment to a second timestamp associated with a person detection event indicative that the person moved proximate to a detector at a time indicated by the second timestamp ; a data interface to identify a zone of the monitored environment in which the detector is located in response to determining that the first timestamp substantially matches the second timestamp ; and a location data modifier to change a second location datum of the measured path of travel to represent a location in the identified zone . US20100250305A1 CLAIM 37 . A system , comprising : a tag to emit signals at a first signal (first signal) emission rate and a second signal emission rate as the tag is moved through a monitored environment , wherein the second signal emission rate is relatively faster than the first signal emission rate , and wherein the tag is configured to emit some of the signals at the second signal emission rate when the tag is located proximate to an entrance or an exit of one of a plurality of zones of the monitored environment ; a data collector to generate location information based on the signals to form a measured path of travel of the tag through the monitored environment , the data collector further to collect person detection event information indicative of the tag moving proximate to entrances and exits of the plurality of zones ; and a location data modifier to generate an adjusted path of travel based on the location information of the measured path of travel and the person detection event information . US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (light beam) and second data are real time data or historical data .	US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20100250305A1 CLAIM 27 . An apparatus , comprising : a comparator to compare a first time (first time) stamp associated with a first location datum of a measured path of travel of a person through a monitored environment to a second time (second time) stamp associated with a person detection event indicative that the person moved proximate to a detector at a time indicated by the second timestamp ; a data interface to identify a zone of the monitored environment in which the detector is located in response to determining that the first timestamp substantially matches the second timestamp ; and a location data modifier to change a second location datum of the measured path of travel to represent a location in the identified zone .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first location) is one or more of : within a strong proximity zone of a first signal (first signal) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20100250305A1 CLAIM 27 . An apparatus , comprising : a comparator to compare a first timestamp associated with a first location (first location) datum of a measured path of travel of a person through a monitored environment to a second timestamp associated with a person detection event indicative that the person moved proximate to a detector at a time indicated by the second timestamp ; a data interface to identify a zone of the monitored environment in which the detector is located in response to determining that the first timestamp substantially matches the second timestamp ; and a location data modifier to change a second location datum of the measured path of travel to represent a location in the identified zone . US20100250305A1 CLAIM 37 . A system , comprising : a tag to emit signals at a first signal (first signal) emission rate and a second signal emission rate as the tag is moved through a monitored environment , wherein the second signal emission rate is relatively faster than the first signal emission rate , and wherein the tag is configured to emit some of the signals at the second signal emission rate when the tag is located proximate to an entrance or an exit of one of a plurality of zones of the monitored environment ; a data collector to generate location information based on the signals to form a measured path of travel of the tag through the monitored environment , the data collector further to collect person detection event information indicative of the tag moving proximate to entrances and exits of the plurality of zones ; and a location data modifier to generate an adjusted path of travel based on the location information of the measured path of travel and the person detection event information . US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (second person) does not have the contagion prior to the proximity relationship being positive .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (second person) .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (location information) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100250305A1 CLAIM 8 . An apparatus , comprising : a data interface to : receive location information (negative proximity) indicative of a measured path of travel of a person through a monitored environment ; receive person detection event information associated with a plurality of zones in the monitored environment , wherein the person detection event information is indicative of detections of the person in each of the zones ; and a path segment analyzer to determine an adjusted path of travel of the person through the monitored environment based on the location information indicative of the measured path of travel and the person detection event information .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person (second person) becomes infected and then is a new first person (first person) in subsequent travel .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person (first person) detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person (second person) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person (first person) ; and providing travel data to a place for contaminated first persons to the new first person .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person (first person) detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (light beam) regarding a first person (first person) at a first location (first location) at a first time (first time) , wherein the first person is at a first event ; receiving second data (light beam) regarding a second person (second person) at a second location (second location) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100250305A1 CLAIM 11 . An apparatus as defined in claim 8 , wherein the path segment analyzer is to determine the adjusted path of travel by identifying a path segment of the measured path of travel between a first person (first person) detection event indicating that the person entered a first one of the zones and a second person (second person) detection event indicating that the person exited the first one of the zones , and wherein the apparatus further comprises a location data modifier to change a location datum in the path segment indicating a deviation into a second one of the zones . US20100250305A1 CLAIM 27 . An apparatus , comprising : a comparator to compare a first time (first time) stamp associated with a first location (first location) datum of a measured path of travel of a person through a monitored environment to a second time (second time) stamp associated with a person detection event indicative that the person moved proximate to a detector at a time indicated by the second timestamp ; a data interface to identify a zone of the monitored environment in which the detector is located in response to determining that the first timestamp substantially matches the second timestamp ; and a location data modifier to change a second location (second location) datum of the measured path of travel to represent a location in the identified zone . US20100250305A1 CLAIM 40 . A system as defined in claim 39 , wherein each of the people detectors includes a light transmitter and a light receiver , and wherein each of the people detectors detects when the tag moves proximate to a respective one of the entrances or a respective one of the exits when a light beam (first data, first signal tracking device, receiving first data, receiving second data) emitted between the light transmitter and the light receiver is interrupted by a person .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN201314243Y Filed: 2008-12-31 Issued: 2009-09-23 基于射频技术的瓦斯含量检测无线发射接收装置 (Original Assignee) 黑龙江科技学院秦宪礼, 吴强, 沈斌, 张克春, 刘新蕾, 张石磊, 朱辉, 王洪粱
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (第一输出) regarding a second person at a second location at a second time (第一输出) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN201314243Y CLAIM 9、根据权利要求1或3所述的基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于供电控制模块(6)包括稳压电路(61)、供电控制电路(62)、交/直流供电控制模块(63)、外部交流电源(64)、本质安全型电源(65)和电池过充放保护电路(66)，供电控制电斷62)的第一输出 (second data, second time) 端与稳压电路(61)的输入端相连，供电控制电路(62)的第二输出端与电池过充放保护电路(66)的输入端相连，电池过充放保护电路(66)的输出端与本质安全型电源(65)的输入端相连，本质安全型电源(65)的输出端与供电控制电路(62)的第一输入端相连，外部交流电源(64)的输出端与交/直流供电控制模块(63)的输入端相连，交/直流供电控制模块(63)的输出端与供电控制电路(62)的第二输入端相连。
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data (第一输出) is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	CN201314243Y CLAIM 9、根据权利要求1或3所述的基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于供电控制模块(6)包括稳压电路(61)、供电控制电路(62)、交/直流供电控制模块(63)、外部交流电源(64)、本质安全型电源(65)和电池过充放保护电路(66)，供电控制电斷62)的第一输出 (second data, second time) 端与稳压电路(61)的输入端相连，供电控制电路(62)的第二输出端与电池过充放保护电路(66)的输入端相连，电池过充放保护电路(66)的输出端与本质安全型电源(65)的输入端相连，本质安全型电源(65)的输出端与供电控制电路(62)的第一输入端相连，外部交流电源(64)的输出端与交/直流供电控制模块(63)的输入端相连，交/直流供电控制模块(63)的输出端与供电控制电路(62)的第二输入端相连。
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data and second data (第一输出) are real time data or historical data .	CN201314243Y CLAIM 9、根据权利要求1或3所述的基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于供电控制模块(6)包括稳压电路(61)、供电控制电路(62)、交/直流供电控制模块(63)、外部交流电源(64)、本质安全型电源(65)和电池过充放保护电路(66)，供电控制电斷62)的第一输出 (second data, second time) 端与稳压电路(61)的输入端相连，供电控制电路(62)的第二输出端与电池过充放保护电路(66)的输入端相连，电池过充放保护电路(66)的输出端与本质安全型电源(65)的输入端相连，本质安全型电源(65)的输出端与供电控制电路(62)的第一输入端相连，外部交流电源(64)的输出端与交/直流供电控制模块(63)的输入端相连，交/直流供电控制模块(63)的输出端与供电控制电路(62)的第二输入端相连。
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (第一输出) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	CN201314243Y CLAIM 9、根据权利要求1或3所述的基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于供电控制模块(6)包括稳压电路(61)、供电控制电路(62)、交/直流供电控制模块(63)、外部交流电源(64)、本质安全型电源(65)和电池过充放保护电路(66)，供电控制电斷62)的第一输出 (second data, second time) 端与稳压电路(61)的输入端相连，供电控制电路(62)的第二输出端与电池过充放保护电路(66)的输入端相连，电池过充放保护电路(66)的输出端与本质安全型电源(65)的输入端相连，本质安全型电源(65)的输出端与供电控制电路(62)的第一输入端相连，外部交流电源(64)的输出端与交/直流供电控制模块(63)的输入端相连，交/直流供电控制模块(63)的输出端与供电控制电路(62)的第二输入端相连。
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (的发射) or other communicable entity .	CN201314243Y CLAIM 1、基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于它的发射 (radiation emitter) 装置包括瓦斯浓度检测仪(1)、无线发射模块(2)和数据存储电路(8)，瓦斯浓度检测仪(1)的输出端与无线发射模块(2)的输入端相连，瓦斯浓度检测仪(1)的输入输出端与数据存储电路(8)的输入输出端相连，无线发射模块(2)包括第一无线射频芯片(21)、第一SPI接口(22)、第一GFSK调制解调器(23)和发射天线电路(24)，第一SPI接口(22)的信号输出端与第一无线射频芯片(21)的输入端相连，第一无线射频芯片(21)的输入输出端与第一GFSK调制解调器(23)的输入输出端相连，第一无线射频芯片(21)的输出端与发射天线电路(24)的信号输入端相连，发射天线电路(24)的信号输出端与发射天线相连，它的接收装置是固定在井下与发射装置直线方向距离150米以内的装置，所述接收装置包括无线接收模块(3)、单片机控制模块(4)、通信接口模块(5)和供电控制模块(6)，无线接收模块(3)的信号接收端与接收天线相连，无线接收模块(3)的信号输出端与单片机控制模块(4)的输入端相连，单片机控制模块(4)的电源端口与供电控制模块(6)的输出端相连，单片机控制模块(4)的输出端与通信接口模块(5)的输入端相连。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one or more of the following : providing travel instructions (的接收装置) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights (的信号) on the predicted travel route .	CN201314243Y CLAIM 1、基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于它的发射装置包括瓦斯浓度检测仪(1)、无线发射模块(2)和数据存储电路(8)，瓦斯浓度检测仪(1)的输出端与无线发射模块(2)的输入端相连，瓦斯浓度检测仪(1)的输入输出端与数据存储电路(8)的输入输出端相连，无线发射模块(2)包括第一无线射频芯片(21)、第一SPI接口(22)、第一GFSK调制解调器(23)和发射天线电路(24)，第一SPI接口(22)的信号 (modulating traffic lights) 输出端与第一无线射频芯片(21)的输入端相连，第一无线射频芯片(21)的输入输出端与第一GFSK调制解调器(23)的输入输出端相连，第一无线射频芯片(21)的输出端与发射天线电路(24)的信号输入端相连，发射天线电路(24)的信号输出端与发射天线相连，它的接收装置 (providing travel instructions) 是固定在井下与发射装置直线方向距离150米以内的装置，所述接收装置包括无线接收模块(3)、单片机控制模块(4)、通信接口模块(5)和供电控制模块(6)，无线接收模块(3)的信号接收端与接收天线相连，无线接收模块(3)的信号输出端与单片机控制模块(4)的输入端相连，单片机控制模块(4)的电源端口与供电控制模块(6)的输出端相连，单片机控制模块(4)的输出端与通信接口模块(5)的输入端相连。
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (第一输出) regarding a second person at a second location at a second time (第一输出) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN201314243Y CLAIM 9、根据权利要求1或3所述的基于射频技术的瓦斯含量检测无线发射接收装置，其特征在于供电控制模块(6)包括稳压电路(61)、供电控制电路(62)、交/直流供电控制模块(63)、外部交流电源(64)、本质安全型电源(65)和电池过充放保护电路(66)，供电控制电斷62)的第一输出 (second data, second time) 端与稳压电路(61)的输入端相连，供电控制电路(62)的第二输出端与电池过充放保护电路(66)的输入端相连，电池过充放保护电路(66)的输出端与本质安全型电源(65)的输入端相连，本质安全型电源(65)的输出端与供电控制电路(62)的第一输入端相连，外部交流电源(64)的输出端与交/直流供电控制模块(63)的输入端相连，交/直流供电控制模块(63)的输出端与供电控制电路(62)的第二输入端相连。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	CN201340646Y Filed: 2008-12-15 Issued: 2009-11-04 远距离瓦斯监控报警装置 (Original Assignee) 邓新文; 陈鑫邓新文, 陈鑫
US10198779B2 CLAIM 1 . A method of determining proximity relationships (连接关系) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (远距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (连接关系) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	CN201340646Y CLAIM 1、一种远距离 (proximity distance) 瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (射频放大器) tracking device .	CN201340646Y CLAIM 3、根据权利要求2所述的远距离瓦斯监控报警装置，其特征在于：所述无线收发器模组包括天线、功率放大器、射频收发器、微处理器和晶体振荡器，功率放大器、射频收发器、微处理器依次电连接，并可双向传送数据信号，所述双向传送，是指信号从功率放大器传送到微处理器，亦可从微处理器传送到功率放大器，微处理器的另一端与主控制器电连接，天线与功率放大器电连接接收信号再发射，天线亦与功率放大器电连接送进信号，晶体振荡器A与射频放大器 (first signal) 电连接，晶体振荡器B与微处理器电连接。
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (射频放大器) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	CN201340646Y CLAIM 3、根据权利要求2所述的远距离瓦斯监控报警装置，其特征在于：所述无线收发器模组包括天线、功率放大器、射频收发器、微处理器和晶体振荡器，功率放大器、射频收发器、微处理器依次电连接，并可双向传送数据信号，所述双向传送，是指信号从功率放大器传送到微处理器，亦可从微处理器传送到功率放大器，微处理器的另一端与主控制器电连接，天线与功率放大器电连接接收信号再发射，天线亦与功率放大器电连接送进信号，晶体振荡器A与射频放大器 (first signal) 电连接，晶体振荡器B与微处理器电连接。
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (连接关系) being positive .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (连接关系) is positive , performing the method with a third person relative to the second person .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (连接关系) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (连接关系) based on historical travel data .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (连接关系) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (连接关系) in real time .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships (连接关系) of a plurality of second persons relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	CN201340646Y CLAIM 1、一种远距离瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。
US10198779B2 CLAIM 19 . A method of determining proximity relationships (连接关系) , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event (线收发器) ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (远距离) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (连接关系) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	CN201340646Y CLAIM 1、一种远距离 (proximity distance) 瓦斯监控报警装置，包括瓦斯传感器，其特征在于：还包括有无线收发终端、传送节点、电力线，它们之间的连接关系 (proximity relationships, proximity relationship, proximity relationship database, negative proximity relationship) 为瓦斯传感器与无线收发终端A电连接，信源信宿C、无线收发终端A、传送节点1、电力线1、传送节点2、传送节点3、电力线2、传送节点4、无线收发终端B、信源信宿D依次电连接。 CN201340646Y CLAIM 2、根据权利要求l所述的远距离瓦斯监控报警装置，其特征在于：所述传送节点包括天线、无线收发器 (first event) 模组、主控制器、双宽带高输出电流放大器、电线标准界面耦合器、电力线，它们依次电连接，并可双向传送数据信号，所述双向传送，是指信号从天线传送到电力线，亦可从电力线传送到天线。
US10198779B2 CLAIM 20 . The method of claim 19 , wherein the first event (线收发器) is a natural disaster , terrorist event , catastrophe , or other event .	CN201340646Y CLAIM 2、根据权利要求l所述的远距离瓦斯监控报警装置，其特征在于：所述传送节点包括天线、无线收发器 (first event) 模组、主控制器、双宽带高输出电流放大器、电线标准界面耦合器、电力线，它们依次电连接，并可双向传送数据信号，所述双向传送，是指信号从天线传送到电力线，亦可从电力线传送到天线。

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100081411A1 Filed: 2008-09-29 Issued: 2010-04-01 Multifunctional telemetry alert safety system (MTASS) (Original Assignee) John Mathew Montenero, III John Mathew Montenero
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (comparison signal) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100081411A1 CLAIM 4 . The system of the present invention MTASS is also unique in its integrated wireless personal area network (WPAN) module technology as being programmable to adaptively integrate with various OEM wireless body area network (WBAN) or wireless 802 . 15 . 4 (Bluetooth) peripherals . WBAN peripherals are dedicated by assignment to each portable device by way of customizable coded transmissions that prevent “cross-talk” between other peripherals of other nearby portable devices . Each portable device WPAN module' ; s firmware chip set is reprogrammable by way of portable device Infra Red (IR) port to computer USB port cable connectivity and software . Certain wireless peripheral devices have a transmitter with a signal emitter generating devices which generates an identification signal that is characteristic of the transmitter . This unique numeric ID of a peripheral' ; s transmitter is programmed into the the system of the present invention' ; s WPAN module' ; s bios firmware chip set . The data signal and identification signal are received and tested by a receiver in the portable device' ; s WPAN module . If the identification signal matches (recognized) an identification comparison signal (receiving first data) stored in the monitoring portable device via its WPAN programmable firmware , data is accepted and processed through the interface boards controller unit and sent through the wireless network interface module over the local network to base stations that then use the signal to monitor status and locate/track the signal emitter . Unlike other systems , the system of the present invention' ; s flexible bios firmware technology architecture allows for the system of the present invention' ; s adaptability to any SCBA having a two-stage air system interfaced with an OEM air tank transmitter (see FIG . 10 a/b) .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (base station) or other communicable entity .	US20100081411A1 CLAIM 4 . The system of the present invention MTASS is also unique in its integrated wireless personal area network (WPAN) module technology as being programmable to adaptively integrate with various OEM wireless body area network (WBAN) or wireless 802 . 15 . 4 (Bluetooth) peripherals . WBAN peripherals are dedicated by assignment to each portable device by way of customizable coded transmissions that prevent “cross-talk” between other peripherals of other nearby portable devices . Each portable device WPAN module' ; s firmware chip set is reprogrammable by way of portable device Infra Red (IR) port to computer USB port cable connectivity and software . Certain wireless peripheral devices have a transmitter with a signal emitter generating devices which generates an identification signal that is characteristic of the transmitter . This unique numeric ID of a peripheral' ; s transmitter is programmed into the the system of the present invention' ; s WPAN module' ; s bios firmware chip set . The data signal and identification signal are received and tested by a receiver in the portable device' ; s WPAN module . If the identification signal matches (recognized) an identification comparison signal stored in the monitoring portable device via its WPAN programmable firmware , data is accepted and processed through the interface boards controller unit and sent through the wireless network interface module over the local network to base station (radiation emitter) s that then use the signal to monitor status and locate/track the signal emitter . Unlike other systems , the system of the present invention' ; s flexible bios firmware technology architecture allows for the system of the present invention' ; s adaptability to any SCBA having a two-stage air system interfaced with an OEM air tank transmitter (see FIG . 10 a/b) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (fixed wall) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100081411A1 CLAIM 9 . The system of the present invention MTASS is also unique in its application of a rechargeable internal prismatic Li-Ion battery design (see FIGS . 2 , 4 , 6 , 15) and an automatic on/off power function integrated with the battery charger function , wherein each MTASS portable device is automatically powered off whenever the battery charger plug is inserted into an MTASS portable device and automatically powered on whenever the charger plug is removed . From the front view of the MTASS portable device , the power/charger port is located on the lower left hand side and protected by a port access flap of the integrated silicone grip band (see FIG . 3) . The power/charger control plug makes end-to-end contact with the power pressure switch post to activate the power function of the MTASS portable device and a battery charger connector for interfacing with the charging port of the MTASS portable device . The integrated auto-power/charger port mates up with either the MTASS system fixed wall (performing one) or vehicle-mounted charging station , or portable charger case station accessories (FIG . 15) . It should be understood that while we have described certain embodiments of the invention , we do not intend to be restricted thereto , but rather intend to cover all variations , improvements and modifications which come within the spirit of the invention , which is limited only by the claims that are appended hereto and by the breadth of interpretation allowed by law .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel (wireless mesh network) .	US20100081411A1 CLAIM 3 . The network adaptation of claim 2 , wherein the system of the present invention MTASS is also unique in its reconfigurable wireless modular adaptability to a variety of OEM 802 . 11 radio and 3G-cellular wireless mesh network (subsequent travel) infrastructures by way of the system of the present invention MTASS' ; s modular and reprogrammable technology . Modularity in form factor design of the network interface card configuration and the onboard custom programmable bios firmware provides for customization of wireless network interfacing to adapt to a variety of mesh network applications . (see FIGS . 4 , 14 a - b)
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (comparison signal) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100081411A1 CLAIM 4 . The system of the present invention MTASS is also unique in its integrated wireless personal area network (WPAN) module technology as being programmable to adaptively integrate with various OEM wireless body area network (WBAN) or wireless 802 . 15 . 4 (Bluetooth) peripherals . WBAN peripherals are dedicated by assignment to each portable device by way of customizable coded transmissions that prevent “cross-talk” between other peripherals of other nearby portable devices . Each portable device WPAN module' ; s firmware chip set is reprogrammable by way of portable device Infra Red (IR) port to computer USB port cable connectivity and software . Certain wireless peripheral devices have a transmitter with a signal emitter generating devices which generates an identification signal that is characteristic of the transmitter . This unique numeric ID of a peripheral' ; s transmitter is programmed into the the system of the present invention' ; s WPAN module' ; s bios firmware chip set . The data signal and identification signal are received and tested by a receiver in the portable device' ; s WPAN module . If the identification signal matches (recognized) an identification comparison signal (receiving first data) stored in the monitoring portable device via its WPAN programmable firmware , data is accepted and processed through the interface boards controller unit and sent through the wireless network interface module over the local network to base stations that then use the signal to monitor status and locate/track the signal emitter . Unlike other systems , the system of the present invention' ; s flexible bios firmware technology architecture allows for the system of the present invention' ; s adaptability to any SCBA having a two-stage air system interfaced with an OEM air tank transmitter (see FIG . 10 a/b) .

US20100036807A1

Filed: 2008-08-05 Issued: 2010-02-11

Systems and Methods to Sort Information Related to Entities Having Different Locations

(Original Assignee) YellowPages com LLC (Current Assignee) Thryv Inc

Jay H. Lieske, JR., Stephen Chappell

US10198779B2
CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (search result) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ;

providing travel instructions to a safe zone ;

modulating traffic lights on the predicted travel route .

US20100036807A1
CLAIM 9 . The method of claim 8 , wherein the first , second and third geographic areas are separated by concentric circles centered at the location indicated in the search result (negative proximity relationship) .

US10198779B2
CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (telephone number) relative to one or more first persons ;

and modeling spread of the contagion based on facts of the contagion and the proximity relationships .

US20100036807A1
CLAIM 18 . The method of claim 15 , wherein the plurality of listings comprises telephone number (second persons) s of a plurality of entities and at least one advertisement of the plurality of entities .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20100023515A1 Filed: 2008-07-28 Issued: 2010-01-28 Data clustering engine (Original Assignee) Andreas Marx Andreas Marx
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20100023515A1 CLAIM 13 . A computer-readable medium carrying computer processing instructions which , when executed by a computer , cause the computer to perform the following steps (second time, performing one) : determine a match signature for one record of a plurality of records by evaluating a deterministic cluster definition against the one record , each said record of the plurality of records comprising a plurality of fields , the deterministic cluster definition comprising a logical association of the fields and defining at least one data cluster of the plurality of the data records ; search a match table for a table entry matching the match signature , the match table comprising at least one previously-entered match signature , each said previously-entered match signature being unique within the match table and being determined by evaluating the deterministic cluster definition against another one of the records of the plurality of records , each said another one record being associated with a respective one of the previously-entered match signatures via the deterministic cluster definition ; and determine membership of the one record in the cluster , the membership determining comprising updating the match table with the match signature for the one record upon the match table search locating no previously-entered match signature in the match table matching the match signature for the one record .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time is designated to be within a contagion timeframe , and the second time (following steps) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20100023515A1 CLAIM 13 . A computer-readable medium carrying computer processing instructions which , when executed by a computer , cause the computer to perform the following steps (second time, performing one) : determine a match signature for one record of a plurality of records by evaluating a deterministic cluster definition against the one record , each said record of the plurality of records comprising a plurality of fields , the deterministic cluster definition comprising a logical association of the fields and defining at least one data cluster of the plurality of the data records ; search a match table for a table entry matching the match signature , the match table comprising at least one previously-entered match signature , each said previously-entered match signature being unique within the match table and being determined by evaluating the deterministic cluster definition against another one of the records of the plurality of records , each said another one record being associated with a respective one of the previously-entered match signatures via the deterministic cluster definition ; and determine membership of the one record in the cluster , the membership determining comprising updating the match table with the match signature for the one record upon the match table search locating no previously-entered match signature in the match table matching the match signature for the one record .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (following steps) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20100023515A1 CLAIM 13 . A computer-readable medium carrying computer processing instructions which , when executed by a computer , cause the computer to perform the following steps (second time, performing one) : determine a match signature for one record of a plurality of records by evaluating a deterministic cluster definition against the one record , each said record of the plurality of records comprising a plurality of fields , the deterministic cluster definition comprising a logical association of the fields and defining at least one data cluster of the plurality of the data records ; search a match table for a table entry matching the match signature , the match table comprising at least one previously-entered match signature , each said previously-entered match signature being unique within the match table and being determined by evaluating the deterministic cluster definition against another one of the records of the plurality of records , each said another one record being associated with a respective one of the previously-entered match signatures via the deterministic cluster definition ; and determine membership of the one record in the cluster , the membership determining comprising updating the match table with the match signature for the one record upon the match table search locating no previously-entered match signature in the match table matching the match signature for the one record .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (one cluster) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20100023515A1 CLAIM 17 . A method of managing a plurality of records , each said record comprising a plurality of fields , the method comprising : determining a match signature for each said record of the plurality of records by evaluating a deterministic cluster definition against each said record , the deterministic cluster definition comprising a logical association of the fields and defining at least one cluster (providing travel data) of the plurality of the records ; and identifying the data clusters amongst the plurality of records by populating a match table with the match signatures , each said match signature being unique within the match table , each said record of the plurality of records being associated with a respective one of the match signatures populated in the match table .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20100023515A1 CLAIM 13 . A computer-readable medium carrying computer processing instructions which , when executed by a computer , cause the computer to perform the following steps (second time, performing one) : determine a match signature for one record of a plurality of records by evaluating a deterministic cluster definition against the one record , each said record of the plurality of records comprising a plurality of fields , the deterministic cluster definition comprising a logical association of the fields and defining at least one data cluster of the plurality of the data records ; search a match table for a table entry matching the match signature , the match table comprising at least one previously-entered match signature , each said previously-entered match signature being unique within the match table and being determined by evaluating the deterministic cluster definition against another one of the records of the plurality of records , each said another one record being associated with a respective one of the previously-entered match signatures via the deterministic cluster definition ; and determine membership of the one record in the cluster , the membership determining comprising updating the match table with the match signature for the one record upon the match table search locating no previously-entered match signature in the match table matching the match signature for the one record .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080280565A1 Filed: 2008-03-28 Issued: 2008-11-13 Indoor coverage estimation and intelligent network planning (Original Assignee) inCode Telecom Group Inc (Current Assignee) inCode Telecom Group Inc Vladan Jevremovic, Arash Vakili-Moghaddam, Serge Legris
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (node b) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (node b) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (node b) being positive .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (node b) is positive , performing the method with a third person relative to the second person .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (node b) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (node b) based on historical travel data .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (outer wall) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20080280565A1 CLAIM 6 . The method of claim 1 wherein said calculating further comprises approximating inner walls within said building with concentric contours fit within a shape of said building' ; s outer wall (negative proximity, negative proximity relationship) . US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (node b) in real time .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance (node b) to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (node b) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080280565A1 CLAIM 11 . A method , comprising : planning , by processing software program code on a computer , node upgrades to a wireless networking service , said planning including : calculating outdoor node cost as a function of in building wireless network service coverage ; calculating indoor node cost as a function of in building wireless network coverage ; identifying an in building wireless network coverage value where said outdoor node cost equals said indoor node cost ; recommending addition of an outdoor node b (proximity distance, proximity relationship) ecause current coverage is less than said value ; and , recommending addition of an indoor node because current coverage is greater than said value .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20090231198A1 Filed: 2008-03-17 Issued: 2009-09-17 Active player tracking (Original Assignee) Disney Enterprises Inc (Current Assignee) Disney Enterprises Inc Peter M. Walsh, Jeffrey W. Weisenburger, Kenneth Demers, Anthony J. Bailey, David L. Casamona
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20090231198A1 CLAIM 1 . A method for tracking sports objects in a playing area , comprising : (a) selecting a first radio receiver group , the first radio receiver group comprising a first subset of at least three radio receivers selected from a totality of radio receivers , the totality of radio receivers distributed about the playing area , wherein each region of the playing area is within a radio reception range of at least three radio receivers ; (b) selecting a second radio receiver group , the second radio receiver group comprising a second subset of at least three radio receivers selected from the totality of radio receivers , the second subset being different from the first subset ; (c) the first radio receiver group receiving signals from one or more transmitter tags attached to a sports object ; (d) the second radio receiver group receiving signals from the one or more transmitter tags attached to the sports object ; (e) estimating a position of the sports object in response to the signals received by both the first radio receiver group and the second radio receiver group ; and (f) repeatedly performing steps (a)-(e) to track movement of the sports object in the playing area over a time interval (second location) .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (predetermined threshold) relationship based on historical travel data , and performing one or more of the following : providing travel instructions (corresponding signals, first radio) to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20090231198A1 CLAIM 1 . A method for tracking sports objects in a playing area , comprising : (a) selecting a first radio (providing travel instructions, providing travel data) receiver group , the first radio receiver group comprising a first subset of at least three radio receivers selected from a totality of radio receivers , the totality of radio receivers distributed about the playing area , wherein each region of the playing area is within a radio reception range of at least three radio receivers ; (b) selecting a second radio receiver group , the second radio receiver group comprising a second subset of at least three radio receivers selected from the totality of radio receivers , the second subset being different from the first subset ; (c) the first radio receiver group receiving signals from one or more transmitter tags attached to a sports object ; (d) the second radio receiver group receiving signals from the one or more transmitter tags attached to the sports object ; (e) estimating a position of the sports object in response to the signals received by both the first radio receiver group and the second radio receiver group ; and (f) repeatedly performing steps (a)-(e) to track movement of the sports object in the playing area over a time interval . US20090231198A1 CLAIM 9 . The method claimed in claim 5 , wherein the step of estimating the position of the sports object in response to a plurality of data points omits data points corresponding to signals detected at a time longer ago than a predetermined threshold (negative proximity) age but includes data points corresponding to signals detected at a time more recent than the predetermined threshold age . US20090231198A1 CLAIM 10 . The method claimed in claim 9 , wherein : the one or more transmitter tags attached to a sports object comprise a plurality of transmitter tags attached the sports object , and each transmitter tag of the plurality is attached to a different portion of the sports object ; all data points corresponding to detections of signals received from a first transmitter tag are omitted if the position of the sports object was estimated in response to any data points for which the corresponding signals (providing travel instructions, providing travel data) were detected at a time longer ago than the predetermined threshold age ; and all data points corresponding to detections of signals received from a second transmitter tag are included if the position of the sports object was estimated in response to only data points for which the corresponding signals were detected at a time more recent than the predetermined threshold age .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (corresponding signals, first radio) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20090231198A1 CLAIM 1 . A method for tracking sports objects in a playing area , comprising : (a) selecting a first radio (providing travel instructions, providing travel data) receiver group , the first radio receiver group comprising a first subset of at least three radio receivers selected from a totality of radio receivers , the totality of radio receivers distributed about the playing area , wherein each region of the playing area is within a radio reception range of at least three radio receivers ; (b) selecting a second radio receiver group , the second radio receiver group comprising a second subset of at least three radio receivers selected from the totality of radio receivers , the second subset being different from the first subset ; (c) the first radio receiver group receiving signals from one or more transmitter tags attached to a sports object ; (d) the second radio receiver group receiving signals from the one or more transmitter tags attached to the sports object ; (e) estimating a position of the sports object in response to the signals received by both the first radio receiver group and the second radio receiver group ; and (f) repeatedly performing steps (a)-(e) to track movement of the sports object in the playing area over a time interval . US20090231198A1 CLAIM 10 . The method claimed in claim 9 , wherein : the one or more transmitter tags attached to a sports object comprise a plurality of transmitter tags attached the sports object , and each transmitter tag of the plurality is attached to a different portion of the sports object ; all data points corresponding to detections of signals received from a first transmitter tag are omitted if the position of the sports object was estimated in response to any data points for which the corresponding signals (providing travel instructions, providing travel data) were detected at a time longer ago than the predetermined threshold age ; and all data points corresponding to detections of signals received from a second transmitter tag are included if the position of the sports object was estimated in response to only data points for which the corresponding signals were detected at a time more recent than the predetermined threshold age .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20090231198A1 CLAIM 1 . A method for tracking sports objects in a playing area , comprising : (a) selecting a first radio receiver group , the first radio receiver group comprising a first subset of at least three radio receivers selected from a totality of radio receivers , the totality of radio receivers distributed about the playing area , wherein each region of the playing area is within a radio reception range of at least three radio receivers ; (b) selecting a second radio receiver group , the second radio receiver group comprising a second subset of at least three radio receivers selected from the totality of radio receivers , the second subset being different from the first subset ; (c) the first radio receiver group receiving signals from one or more transmitter tags attached to a sports object ; (d) the second radio receiver group receiving signals from the one or more transmitter tags attached to the sports object ; (e) estimating a position of the sports object in response to the signals received by both the first radio receiver group and the second radio receiver group ; and (f) repeatedly performing steps (a)-(e) to track movement of the sports object in the playing area over a time interval (second location) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20090153364A1 Filed: 2007-12-17 Issued: 2009-06-18 Method and apparatus for vehicle traffic time calculation (Original Assignee) Motorola Solutions Inc (Current Assignee) Motorola Solutions Inc John E. Buchalo, Paul M. Bocci, Richard H. Noens, Scott J. Propp
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (geographical locations) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship (MAC address) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations (second location) . US20090153364A1 CLAIM 11 . A method for calculating a vehicle travel time , the method comprising : receiving , by a first WLAN signal detection device of a plurality of WLAN signal detection devices , a first WLAN signal transmitted from a wireless device ; said first WLAN detection device having a first geographic location ; extracting from the first WLAN signal , a unique identifier of the wireless device ; creating a first transmission packet , by the first WLAN signal detection device , said first transmission packet comprising the unique identifier and a first time (first time) stamp representing a time when the first WLAN signal was received by the first WLAN signal detection device ; transmitting , by the first WLAN signal detection device , the first transmission packet to a central server ; storing the first transmission packet in a database in the central server ; receiving , by a second WLAN signal detection device of a plurality of WLAN signal detection devices , a second WLAN signal transmitted from the wireless device ; said second WLAN detection device having a second geographic location ; extracting from the second WLAN signal , the unique identifier of the wireless device ; creating a second transmission packet , by the second WLAN signal detection device , said second transmission packet comprising the unique identifier and a second time (second time) stamp representing a time when the second WLAN signal was received by the second WLAN signal detection device ; transmitting , by the second WLAN signal detection device , the second transmission packet to the central server ; storing the second transmission packet in the database in the central server ; performing a matching operation of the unique identifier in the first transmission packet with the unique identifier in the second transmission packet ; calculating a difference in time between the first time stamp and the second time stamp when the unique identifier of the first transmission packet and the unique identifier of the second transmission packet match .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (first signal) tracking device .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address from said first WLAN signal , a first signal (first signal) received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (first time) is designated to be within a contagion timeframe , and the second time (second time) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20090153364A1 CLAIM 11 . A method for calculating a vehicle travel time , the method comprising : receiving , by a first WLAN signal detection device of a plurality of WLAN signal detection devices , a first WLAN signal transmitted from a wireless device ; said first WLAN detection device having a first geographic location ; extracting from the first WLAN signal , a unique identifier of the wireless device ; creating a first transmission packet , by the first WLAN signal detection device , said first transmission packet comprising the unique identifier and a first time (first time) stamp representing a time when the first WLAN signal was received by the first WLAN signal detection device ; transmitting , by the first WLAN signal detection device , the first transmission packet to a central server ; storing the first transmission packet in a database in the central server ; receiving , by a second WLAN signal detection device of a plurality of WLAN signal detection devices , a second WLAN signal transmitted from the wireless device ; said second WLAN detection device having a second geographic location ; extracting from the second WLAN signal , the unique identifier of the wireless device ; creating a second transmission packet , by the second WLAN signal detection device , said second transmission packet comprising the unique identifier and a second time (second time) stamp representing a time when the second WLAN signal was received by the second WLAN signal detection device ; transmitting , by the second WLAN signal detection device , the second transmission packet to the central server ; storing the second transmission packet in the database in the central server ; performing a matching operation of the unique identifier in the first transmission packet with the unique identifier in the second transmission packet ; calculating a difference in time between the first time stamp and the second time stamp when the unique identifier of the first transmission packet and the unique identifier of the second transmission packet match .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (first signal) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address from said first WLAN signal , a first signal (first signal) received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person does not have the contagion prior to the proximity relationship (MAC address) being positive .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship (MAC address) is positive , performing the method with a third person relative to the second person .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship (MAC address) being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship (MAC address) based on historical travel data .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship (MAC address) based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship (MAC address) in real time .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time (first time) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (geographical locations) at a second time (second time) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship (MAC address) for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20090153364A1 CLAIM 1 . A system for calculating vehicle travel times between at least two geographic locations , said system comprising : a first WLAN detection device located at a first geographical location , said first WLAN detection device receives a first WLAN signal from a WLAN device associated with a automobile when said automobile is proximate to said first geographical location , said first WLAN detection device comprises a first network protocol analyzer that creates a first packet comprising a MAC address (proximity relationship) from said first WLAN signal , a first signal received time stamp provided by said first WLAN detection device , and a first unique location identifier ; a second WLAN detection device located at a second geographical location that is a predetermined distance from said first geographical location , said second WLAN detection device receives a second WLAN signal from said WLAN device when said automobile is proximate to said second geographical location , said second WLAN detection device comprises a second network protocol analyzer that creates a second packet comprising said MAC address from said second WLAN signal , a second signal received time stamp provided by said second WLAN detection device , and a second unique location identifier ; a central server in electronic communication with said first WLAN detection device and said second WLAN detection device , said central server receives said first packet and said second packet , said central server further uses an algorithm to determine a travel time of said automobile between said first and said second geographical locations (second location) . US20090153364A1 CLAIM 11 . A method for calculating a vehicle travel time , the method comprising : receiving , by a first WLAN signal detection device of a plurality of WLAN signal detection devices , a first WLAN signal transmitted from a wireless device ; said first WLAN detection device having a first geographic location ; extracting from the first WLAN signal , a unique identifier of the wireless device ; creating a first transmission packet , by the first WLAN signal detection device , said first transmission packet comprising the unique identifier and a first time (first time) stamp representing a time when the first WLAN signal was received by the first WLAN signal detection device ; transmitting , by the first WLAN signal detection device , the first transmission packet to a central server ; storing the first transmission packet in a database in the central server ; receiving , by a second WLAN signal detection device of a plurality of WLAN signal detection devices , a second WLAN signal transmitted from the wireless device ; said second WLAN detection device having a second geographic location ; extracting from the second WLAN signal , the unique identifier of the wireless device ; creating a second transmission packet , by the second WLAN signal detection device , said second transmission packet comprising the unique identifier and a second time (second time) stamp representing a time when the second WLAN signal was received by the second WLAN signal detection device ; transmitting , by the second WLAN signal detection device , the second transmission packet to the central server ; storing the second transmission packet in the database in the central server ; performing a matching operation of the unique identifier in the first transmission packet with the unique identifier in the second transmission packet ; calculating a difference in time between the first time stamp and the second time stamp when the unique identifier of the first transmission packet and the unique identifier of the second transmission packet match .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20090119222A1 Filed: 2007-10-26 Issued: 2009-05-07 E-Bazaar featuring personal information security (Original Assignee) CYVA RESEARCH Corp (Current Assignee) CYVA RESEARCH HOLDINGS LLC Kevin P. O'Neil, Glenn R. Seidman
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (more product) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20090119222A1 CLAIM 1 . An electronic bazaar operating on a distributed , electronic network , comprising : an advertiser personal information agent (PIA) , accessible to a seller by way of a networked device , configured to advertise one or more product (first data) s or services for trade , the advertiser PIA also configured to send over the network one or more items of personal information regarding the seller and one or more rules governing processing of the seller' ; s personal information items ; a buyer PIA , accessible to a buyer by way of a networked device , configured to shop for the products or services for trade , the buyer PIA also configured to send over the network one or more items of personal information regarding the buyer and one or more rules governing processing of the buyer' ; s personal information items ; a product database for storing product information concerning the products or services for trade , the product database being accessible to the buyer and advertiser PIAs ; and an electronic broker computer program , residing on at least one networked server connected to the network , for providing trusted processing of one or more trade interactions between the buyer and advertiser PIAs where the trade interactions involve an exchange of personal information items between the buyer and advertiser PIAs , the electronic broker computer program including : means for maintaining the privacy and integrity of the personal information and rules provided by the buyer and advertiser PIAs , and means for allowing only a trusted process to securely access the personal information and rules from the buyer and advertiser PIAs to ensure that the rules are satisfied before the trade interactions for the products or services for trade are processed .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (more product) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20090119222A1 CLAIM 1 . An electronic bazaar operating on a distributed , electronic network , comprising : an advertiser personal information agent (PIA) , accessible to a seller by way of a networked device , configured to advertise one or more product (first data) s or services for trade , the advertiser PIA also configured to send over the network one or more items of personal information regarding the seller and one or more rules governing processing of the seller' ; s personal information items ; a buyer PIA , accessible to a buyer by way of a networked device , configured to shop for the products or services for trade , the buyer PIA also configured to send over the network one or more items of personal information regarding the buyer and one or more rules governing processing of the buyer' ; s personal information items ; a product database for storing product information concerning the products or services for trade , the product database being accessible to the buyer and advertiser PIAs ; and an electronic broker computer program , residing on at least one networked server connected to the network , for providing trusted processing of one or more trade interactions between the buyer and advertiser PIAs where the trade interactions involve an exchange of personal information items between the buyer and advertiser PIAs , the electronic broker computer program including : means for maintaining the privacy and integrity of the personal information and rules provided by the buyer and advertiser PIAs , and means for allowing only a trusted process to securely access the personal information and rules from the buyer and advertiser PIAs to ensure that the rules are satisfied before the trade interactions for the products or services for trade are processed .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (more product) and second data are real time data or historical data .	US20090119222A1 CLAIM 1 . An electronic bazaar operating on a distributed , electronic network , comprising : an advertiser personal information agent (PIA) , accessible to a seller by way of a networked device , configured to advertise one or more product (first data) s or services for trade , the advertiser PIA also configured to send over the network one or more items of personal information regarding the seller and one or more rules governing processing of the seller' ; s personal information items ; a buyer PIA , accessible to a buyer by way of a networked device , configured to shop for the products or services for trade , the buyer PIA also configured to send over the network one or more items of personal information regarding the buyer and one or more rules governing processing of the buyer' ; s personal information items ; a product database for storing product information concerning the products or services for trade , the product database being accessible to the buyer and advertiser PIAs ; and an electronic broker computer program , residing on at least one networked server connected to the network , for providing trusted processing of one or more trade interactions between the buyer and advertiser PIAs where the trade interactions involve an exchange of personal information items between the buyer and advertiser PIAs , the electronic broker computer program including : means for maintaining the privacy and integrity of the personal information and rules provided by the buyer and advertiser PIAs , and means for allowing only a trusted process to securely access the personal information and rules from the buyer and advertiser PIAs to ensure that the rules are satisfied before the trade interactions for the products or services for trade are processed .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (information item) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20090119222A1 CLAIM 1 . An electronic bazaar operating on a distributed , electronic network , comprising : an advertiser personal information agent (PIA) , accessible to a seller by way of a networked device , configured to advertise one or more products or services for trade , the advertiser PIA also configured to send over the network one or more items of personal information regarding the seller and one or more rules governing processing of the seller' ; s personal information item (performing one) s ; a buyer PIA , accessible to a buyer by way of a networked device , configured to shop for the products or services for trade , the buyer PIA also configured to send over the network one or more items of personal information regarding the buyer and one or more rules governing processing of the buyer' ; s personal information items ; a product database for storing product information concerning the products or services for trade , the product database being accessible to the buyer and advertiser PIAs ; and an electronic broker computer program , residing on at least one networked server connected to the network , for providing trusted processing of one or more trade interactions between the buyer and advertiser PIAs where the trade interactions involve an exchange of personal information items between the buyer and advertiser PIAs , the electronic broker computer program including : means for maintaining the privacy and integrity of the personal information and rules provided by the buyer and advertiser PIAs , and means for allowing only a trusted process to securely access the personal information and rules from the buyer and advertiser PIAs to ensure that the rules are satisfied before the trade interactions for the products or services for trade are processed .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (more product) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20090119222A1 CLAIM 1 . An electronic bazaar operating on a distributed , electronic network , comprising : an advertiser personal information agent (PIA) , accessible to a seller by way of a networked device , configured to advertise one or more product (first data) s or services for trade , the advertiser PIA also configured to send over the network one or more items of personal information regarding the seller and one or more rules governing processing of the seller' ; s personal information items ; a buyer PIA , accessible to a buyer by way of a networked device , configured to shop for the products or services for trade , the buyer PIA also configured to send over the network one or more items of personal information regarding the buyer and one or more rules governing processing of the buyer' ; s personal information items ; a product database for storing product information concerning the products or services for trade , the product database being accessible to the buyer and advertiser PIAs ; and an electronic broker computer program , residing on at least one networked server connected to the network , for providing trusted processing of one or more trade interactions between the buyer and advertiser PIAs where the trade interactions involve an exchange of personal information items between the buyer and advertiser PIAs , the electronic broker computer program including : means for maintaining the privacy and integrity of the personal information and rules provided by the buyer and advertiser PIAs , and means for allowing only a trusted process to securely access the personal information and rules from the buyer and advertiser PIAs to ensure that the rules are satisfied before the trade interactions for the products or services for trade are processed .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080266174A1 Filed: 2007-10-11 Issued: 2008-10-30 Location method and system and locatable portable device (Original Assignee) NAVENTO Tech SL (Current Assignee) NAVENTO TECHNOLOGIES SL ; SAP SE ; NAVENTO Tech SL Miguel Angel Medina Herrero
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data (satellite system, said time) regarding a second person (satellite system, said time) at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change . US20080266174A1 CLAIM 12 . A method according to claim 1 , in which if the device begins to move after having been stopped and with the A-GPS positioning module and transmission/receiving module hibernated , the following steps (second time, performing one) occur : turning on the A-GPS positioning module , turning on the transmission/receiving module , informing the server that said modules have been turned on and that they are trying to obtain GPS coverage .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data (satellite system, said time) is data from a signal of a mobile computing device (said position) (MCD) obtained by a signal tracking device (motion sensor) that has been provided to a server computing system .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 2 . A method according to claim 1 , in which the step of hibernating said modules and said microprocessor is carried out by the portable device itself according to at least the information obtained from motion sensor (signal tracking device) means which can detect the motion of said device . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change . US20080266174A1 CLAIM 29 . A portable device comprising : A-GPS global positioning means configured to receive a GPS signal from a network of GPS satellites ; transmission/receiving means configured to connect with a wireless communication network and to receive therethrough , from a server , at least GPS assistance information and location requests ; in which said portable device can calculate its position from said GPS assistance information and from said GPS signal and to send said position (mobile computing device) to said server ; wherein the portable device comprises motion sensor means which can capture information that can be used for hibernating or interrupting the hibernation of said A-GPS positioning module and transmission/receiving module , according to the absence or presence of motion of the portable device .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (motion sensor) .	US20080266174A1 CLAIM 2 . A method according to claim 1 , in which the step of hibernating said modules and said microprocessor is carried out by the portable device itself according to at least the information obtained from motion sensor (signal tracking device) means which can detect the motion of said device . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data (satellite system, said time) are real time data or historical data .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time (following steps) is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change . US20080266174A1 CLAIM 12 . A method according to claim 1 , in which if the device begins to move after having been stopped and with the A-GPS positioning module and transmission/receiving module hibernated , the following steps (second time, performing one) occur : turning on the A-GPS positioning module , turning on the transmission/receiving module , informing the server that said modules have been turned on and that they are trying to obtain GPS coverage .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (motion sensor) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20080266174A1 CLAIM 2 . A method according to claim 1 , in which the step of hibernating said modules and said microprocessor is carried out by the portable device itself according to at least the information obtained from motion sensor (signal tracking device) means which can detect the motion of said device . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change .
US10198779B2 CLAIM 9 . The method of claim 1 , wherein the second person (satellite system, said time) does not have the contagion prior to the proximity relationship being positive .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person relative to the second person (satellite system, said time) .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (satellite system, said time) .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data (satellite system, said time) , and performing one (following steps) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server . US20080266174A1 CLAIM 12 . A method according to claim 1 , in which if the device begins to move after having been stopped and with the A-GPS positioning module and transmission/receiving module hibernated , the following steps (second time, performing one) occur : turning on the A-GPS positioning module , turning on the transmission/receiving module , informing the server that said modules have been turned on and that they are trying to obtain GPS coverage .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (satellite system, said time) for a plurality of first persons , or when the second person (satellite system, said time) becomes infected and then is a new first person in subsequent travel .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (satellite system, said time) to safe location to the second person (satellite system, said time) ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data (satellite system, said time) regarding a second person (satellite system, said time) at a second location at a second time (following steps) ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080266174A1 CLAIM 1 . A location method for locating a portable device (from a server configured to communicate with said portable device through a wireless communication network , in which the method comprises the steps of : sending GPS assistance information from the server to the portable device through said wireless communication network ; obtaining in an A-GPS positioning module of the portable device a GPS signal from a satellite system (travel data, second data, second person) ; calculating in said portable device a location of the device itself from said GPS signal and from the GPS assistance information sent by the server ; sending said location to the server ; wherein the method comprises the step of : when the portable device stops , hibernating the A-GPS positioning module the transmission/receiving module and a microprocessor of said portable device managing said modules such that the battery is saved and the autonomy of the portable device is thus increased . US20080266174A1 CLAIM 6 . A method according to claim 1 , in which said calculation and sending of the location of said device is carried out in a tracking mode , i . e . it is periodically repeated , provided that there is GPS coverage , every certain time period , upon request of a user who determines said time (travel data, second data, second person) period , through said server . US20080266174A1 CLAIM 10 . A method according to claim 8 , in which every time t (first data, first time, first signal) he device connects with the server through said wireless communication network , it checks if in said server there is a request demanded by a user for changing from the tracking mode to the on demand mode , or vice versa , and if that is the case , it performs said change . US20080266174A1 CLAIM 12 . A method according to claim 1 , in which if the device begins to move after having been stopped and with the A-GPS positioning module and transmission/receiving module hibernated , the following steps (second time, performing one) occur : turning on the A-GPS positioning module , turning on the transmission/receiving module , informing the server that said modules have been turned on and that they are trying to obtain GPS coverage .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	KR20090032349A Filed: 2007-09-27 Issued: 2009-04-01 무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템및 서비스 제공방법 (Original Assignee) 재단법인 아산사회복지재단 이상욱, 이재호
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (상황이) .	KR20090032349A CLAIM 4 RFID 카드(100)를 발급받은 환자 측면에 있어서 , RFID 카드(100)를 보유한 환자가 게이트 허브(200) 내의 각 게이트(① , ② , ③ , . . . n)를 통과하는 단계(A1) ; 입출관계 확인 및 관리를 위한 게이트 신호가 검출되어 서버(400)에 전송되는 단계(A2) ; 데이터베이스(600)를 통하여 환자에 대한 정보를 호출하여 환자의 게이트 입출 허용 여부가 체크되는 단계(A3) ; 상기 환자의 게이트 입출이 불허로 판명되는 경우 경보프로세스가 실행되는 단계(AP) ; 환자의 게이트 입출이 허용으로 판명되는 경우나 상기 경보프로세스가 종료된 경우 입출환자에 대한 호출정보가 있는 지를 체크하는 단계(A4) ; 호출정보가 있는 경우 이를 환자가 인식할 수 있도록 게이트 내에서 방송출력되는 단계(A6) ; 환자의 이탈이나 외부로부터 입장하여 위치파악이 곤란한 경우를 포함하여 이를 호출자에게 통지하는 단계(A7) ; 상기 호출자에게 통지하는 단계(A7) 수행 이후 , 또는 상기 호출정보 체크 단계(A4)에서 호출정보가 없는 경우 일련의 상황을 데이터베이스(600)에 저장하는 단계(A5) ; 및 상황이 (server computing system) 종료되는 단계(A8)로 이루어지는 것을 특징으로 하는 무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템의 서비스 제공방법 .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (식별을) relative to the second person .	KR20090032349A CLAIM 1 병원 내 환자 관리 시스템에 있어서 , 환자관리를 위한 카드를 발급하기 위해 정보를 입력하거나 기존에 입력된 카드 발급 환자에 대한 조회를 지원하기 위한 입력단(310)과 이를 서버와 정보교환을 위한 통신모듈(320)이 포함되는 직원 또는 관리자 단의 클라이언트 단말기(300) ; 상기 단말기를 통하여 카드의 식별을 (third person) 위한 고유 태그번호가 부여되고 환자의 인적정보에 해당하는 등록번호 이름 나이 성별 등이 입력된 정보가 포함되어 제작되는 비접촉 방식의 무선 주파수 식별(RFID) 카드(100) ; 병원의 각 검사실이나 진료실 및 병실에 설치되어 상기 RFID 카드를 소지한 환자가 이동시에 출입 상태에 따른 신호를 검출하고 이를 서버 단에 송출하는 복수의 게이트로 이루어지는 게이트 허브(200) ; 상기 게이트 허브(200)를 통하여 전달되는 RFID 카드(100)의 태그번호를 분석하여 환자의 이동경로 상에서의 위험 요소 분석과 통보 제어를 담당하는 서버(400) ; 상기 서버의 프로세서 실행에 조건을 제공하고 이를 저장 관리하는 데이터베이스(600) ; 를 포함하여 이루어지는 것을 특징으로 하는 무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템 .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (상황이) , which is stored as either positive or negative .	KR20090032349A CLAIM 4 RFID 카드(100)를 발급받은 환자 측면에 있어서 , RFID 카드(100)를 보유한 환자가 게이트 허브(200) 내의 각 게이트(① , ② , ③ , . . . n)를 통과하는 단계(A1) ; 입출관계 확인 및 관리를 위한 게이트 신호가 검출되어 서버(400)에 전송되는 단계(A2) ; 데이터베이스(600)를 통하여 환자에 대한 정보를 호출하여 환자의 게이트 입출 허용 여부가 체크되는 단계(A3) ; 상기 환자의 게이트 입출이 불허로 판명되는 경우 경보프로세스가 실행되는 단계(AP) ; 환자의 게이트 입출이 허용으로 판명되는 경우나 상기 경보프로세스가 종료된 경우 입출환자에 대한 호출정보가 있는 지를 체크하는 단계(A4) ; 호출정보가 있는 경우 이를 환자가 인식할 수 있도록 게이트 내에서 방송출력되는 단계(A6) ; 환자의 이탈이나 외부로부터 입장하여 위치파악이 곤란한 경우를 포함하여 이를 호출자에게 통지하는 단계(A7) ; 상기 호출자에게 통지하는 단계(A7) 수행 이후 , 또는 상기 호출정보 체크 단계(A4)에서 호출정보가 없는 경우 일련의 상황을 데이터베이스(600)에 저장하는 단계(A5) ; 및 상황이 (server computing system) 종료되는 단계(A8)로 이루어지는 것을 특징으로 하는 무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템의 서비스 제공방법 .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data , and performing one (경우를) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	KR20090032349A CLAIM 4 RFID 카드(100)를 발급받은 환자 측면에 있어서 , RFID 카드(100)를 보유한 환자가 게이트 허브(200) 내의 각 게이트(① , ② , ③ , . . . n)를 통과하는 단계(A1) ; 입출관계 확인 및 관리를 위한 게이트 신호가 검출되어 서버(400)에 전송되는 단계(A2) ; 데이터베이스(600)를 통하여 환자에 대한 정보를 호출하여 환자의 게이트 입출 허용 여부가 체크되는 단계(A3) ; 상기 환자의 게이트 입출이 불허로 판명되는 경우 경보프로세스가 실행되는 단계(AP) ; 환자의 게이트 입출이 허용으로 판명되는 경우나 상기 경보프로세스가 종료된 경우 입출환자에 대한 호출정보가 있는 지를 체크하는 단계(A4) ; 호출정보가 있는 경우 이를 환자가 인식할 수 있도록 게이트 내에서 방송출력되는 단계(A6) ; 환자의 이탈이나 외부로부터 입장하여 위치파악이 곤란한 경우를 (performing one) 포함하여 이를 호출자에게 통지하는 단계(A7) ; 상기 호출자에게 통지하는 단계(A7) 수행 이후 , 또는 상기 호출정보 체크 단계(A4)에서 호출정보가 없는 경우 일련의 상황을 데이터베이스(600)에 저장하는 단계(A5) ; 및 상황이 종료되는 단계(A8)로 이루어지는 것을 특징으로 하는 무선 주파수 식별 카드를 통한 병원 내 환자 관리 시스템의 서비스 제공방법 .

US20090036148A1

Filed: 2007-08-01 Issued: 2009-02-05

Mapping an event location via a calendar application

(Original Assignee) Research in Motion Ltd (Current Assignee) BlackBerry Ltd

David Yach

US10198779B2
CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one (home address) or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ;

providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ;

providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .

US20090036148A1
CLAIM 6 . The method as claimed in claim 4 further comprising a step of configuring the calendar application to automatically select a work address associated with the contact if an event time lies within specified work hours and to automatically select a home address (application performs one) associated with the contact if the event time lies outside specified work hours .

US20090036148A1
CLAIM 1 . A method of determining a location of an event that is scheduled in a calendar application , the method comprising steps of : identifying a contact associated with the event ;
determining location information (negative proximity) associated with the contact ;
and presenting the location information to a user of the calendar application as indicative of the location of the event .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080157961A1 Filed: 2007-07-30 Issued: 2008-07-03 System, method and medium tracking action history of user (Original Assignee) Samsung Electronics Co Ltd (Current Assignee) Samsung Electronics Co Ltd Tae-suh Park, Yong-beom Lee
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (location sensor) that has been provided to a server computing system (Global Positioning) .	US20080157961A1 CLAIM 1 . A system for tracking an action history of a user , comprising : a location sensor (signal tracking device, performing one) to sense a location of a user ; an action sensor to sense an action of the user ; an action-recognition unit to recognize the sensed action as a predetermined indicator action ; an action-history storage unit to store the sensed location and the recognized indicator action as the action history of the user ; and an information-supply unit to supply the user with the stored action history upon request . US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (location sensor) .	US20080157961A1 CLAIM 1 . A system for tracking an action history of a user , comprising : a location sensor (signal tracking device, performing one) to sense a location of a user ; an action sensor to sense an action of the user ; an action-recognition unit to recognize the sensed action as a predetermined indicator action ; an action-history storage unit to store the sensed location and the recognized indicator action as the action history of the user ; and an information-supply unit to supply the user with the stored action history upon request .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (location sensor) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20080157961A1 CLAIM 1 . A system for tracking an action history of a user , comprising : a location sensor (signal tracking device, performing one) to sense a location of a user ; an action sensor to sense an action of the user ; an action-recognition unit to recognize the sensed action as a predetermined indicator action ; an action-history storage unit to store the sensed location and the recognized indicator action as the action history of the user ; and an information-supply unit to supply the user with the stored action history upon request .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one (supply unit) or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning) , which is stored as either positive or negative .	US20080157961A1 CLAIM 1 . A system for tracking an action history of a user , comprising : a location sensor to sense a location of a user ; an action sensor to sense an action of the user ; an action-recognition unit to recognize the sensed action as a predetermined indicator action ; an action-history storage unit to store the sensed location and the recognized indicator action as the action history of the user ; and an information-supply unit (application performs one) to supply the user with the stored action history upon request . US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning) .	US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data (Global Positioning) , and performing one (location sensor) or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20080157961A1 CLAIM 1 . A system for tracking an action history of a user , comprising : a location sensor (signal tracking device, performing one) to sense a location of a user ; an action sensor to sense an action of the user ; an action-recognition unit to recognize the sensed action as a predetermined indicator action ; an action-history storage unit to store the sensed location and the recognized indicator action as the action history of the user ; and an information-supply unit to supply the user with the stored action history upon request . US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20080157961A1 CLAIM 2 . The system of claim 1 , wherein the location sensor senses the location using at least one of a GPS (Global Positioning (server computing system, travel data) System) and an indoor GPS .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US7663359B2 Filed: 2007-03-06 Issued: 2010-02-16 Testing mechanism for casings (Original Assignee) Shenzhen Futaihong Precision Industry Co Ltd; FIH Hong Kong Ltd (Current Assignee) Shenzhen Futaihong Precision Industry Co Ltd ; FIH Hong Kong Ltd Lei Li, Ping Chen, Wen-Quan Xu, Zhi Cheng, Chang-Fa Sun, Xue-Liang Zhai, Lin-Sen Dong
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device (one position) that has been provided to a server computing system .	US7663359B2 CLAIM 9 . The testing mechanism as claimed in claim 1 , wherein the testing module further comprises at least one position (signal tracking device) ing module , the positioning module includes a supporting pole , a positioning cylinder , a second elastic member , and a block , a bottom end of the supporting pole is mounted to the main board , the positioning cylinder is mounted on an opposite top end of the supporting pole , the block is mounted in a cavity of the positioning cylinder and is mounted on the top end of the supporting pole , and the second elastic member is mounted between the positioning cylinder and the main board .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal tracking device (one position) .	US7663359B2 CLAIM 9 . The testing mechanism as claimed in claim 1 , wherein the testing module further comprises at least one position (signal tracking device) ing module , the positioning module includes a supporting pole , a positioning cylinder , a second elastic member , and a block , a bottom end of the supporting pole is mounted to the main board , the positioning cylinder is mounted on an opposite top end of the supporting pole , the block is mounted in a cavity of the positioning cylinder and is mounted on the top end of the supporting pole , and the second elastic member is mounted between the positioning cylinder and the main board .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal tracking device (one position) , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone (cylindrical barrel) of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US7663359B2 CLAIM 6 . The testing mechanism as claimed in claim 5 , wherein the testing module further comprises a base block mounted on the main board , and a cylindrical barrel (medium proximity zone) is mounted on the base block and is configured for receiving the other opposite end of the driving pole . US7663359B2 CLAIM 9 . The testing mechanism as claimed in claim 1 , wherein the testing module further comprises at least one position (signal tracking device) ing module , the positioning module includes a supporting pole , a positioning cylinder , a second elastic member , and a block , a bottom end of the supporting pole is mounted to the main board , the positioning cylinder is mounted on an opposite top end of the supporting pole , the block is mounted in a cavity of the positioning cylinder and is mounted on the top end of the supporting pole , and the second elastic member is mounted between the positioning cylinder and the main board .
US10198779B2 CLAIM 10 . The method of claim 1 , wherein when the proximity relationship is positive , performing the method with a third person (top board) relative to the second person .	US7663359B2 CLAIM 1 . A testing mechanism for testing for a sufficiency of a casing , the testing mechanism comprising : a framework including a base board , a top board (third person) and a pillar , one end of the pillar being mounted on the base board , the top board being mounted on the other opposite end of the pillar ; a testing module including a main board and at least one testing pin , the main board being slidably mounted on the pillar , a bottom end of the testing pin being slidably mounted on the main board , a top end of the testing pin being adjacent to the base board , and the at least one testing pin being located in a position corresponding to at least one mounting hole of a sufficient casing ; and a driving module mounted on the top board and configured for driving the main board to slide relative to the base board .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel (elastic member) .	US7663359B2 CLAIM 8 . The testing mechanism as claimed in claim 7 , wherein the testing module further comprises a stopper and a first elastic member (subsequent travel) , the stopper is mounted on the top end of the testing pin , the pointed projection extends through the stopper , and the first elastic member is mounted between the stopper and the main board .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080059050A1 Filed: 2007-02-28 Issued: 2008-03-06 Road congestion detection by distributed vehicle-to-vehicle communication systems (Original Assignee) Hitachi Ltd (Current Assignee) Hitachi Ltd Lan Lin, Tatsuaki Osafune
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080059050A1 CLAIM 3 . Method according to claim 1 or 2 , wherein the position data of the other vehicle (2 , 3 , 4) is discarded when the time interval (second location) between the timestamp of the other vehicle (2 , 3 , 4) and the actual time is larger than a predetermined period .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity (reply message) relationship based on historical travel data , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20080059050A1 CLAIM 8 . Method according to at least one of the preceding claims , wherein the other vehicle (2 , 3 , 4) broadcasts a voting reply message (negative proximity) as response to the voting request message of the host vehicle (1) .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location (time interval) at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080059050A1 CLAIM 3 . Method according to claim 1 or 2 , wherein the position data of the other vehicle (2 , 3 , 4) is discarded when the time interval (second location) between the timestamp of the other vehicle (2 , 3 , 4) and the actual time is larger than a predetermined period .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US8034290B1 Filed: 2007-01-29 Issued: 2011-10-11 Reigniting flame in volatile organic compound device (Original Assignee) LDARtools Inc (Current Assignee) LDARtools Inc Leo Skiba, Rex Moses, Keith Adams, Jack Clark, Bradley O'Keefe, Kevin Moses, Andrew Reiter
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (first signal, one second) regarding a first person at a first location (first signal, one second) at a first time , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (first signal, one second) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location (first signal, one second) is within a first contagious zone of a first signal (first signal, one second) tracking device .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (first signal, one second) and second data are real time data or historical data .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location (first signal, one second) is one or more of : within a strong proximity zone of a first signal (first signal, one second) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one (error signal) or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system , which is stored as either positive or negative .	US8034290B1 CLAIM 18 . A volatile chemical (VOC) detection system , comprising : a VOC detector ; a handheld personal computer in communication with the VOC detector , the handheld personal computer being configured to control an operation of the VOC detector ; a wireless device in communication with the VOC detector and the handheld personal computer , the wireless device being configured to facilitate communication between the VOC detector and the handheld personal computer ; and a signal inverter coupled to the VOC detector and to ground , wherein the handheld personal computer is configured to send a first command to the signal inverter to ground a first port of the VOC detector for a first predetermined amount of time and stop the grounding of the first port after the first predetermined amount of time has lapsed , thereby clearing an error signal (application performs one) in the VOC detector .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (first signal, one second) regarding a first person at a first location (first signal, one second) at a first time , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US8034290B1 CLAIM 1 . A method for igniting a flame in a volatile organic compound (VOC) detector , comprising : transmitting a first signal (first signal, first data, first location, first signal tracking device) to the VOC detector through a wireless device , wherein the first signal is configured to clear an error message in the VOC detector by (i) grounding a first port on the VOC detector and (ii) applying a positive voltage on the first port ; and transmitting a second signal to the VOC detector through the wireless device , wherein the second signal is configured to ignite a flame in the VOC detector by (i) grounding a second port on the VOC detector and (ii) applying a positive voltage on the second port , thereby igniting the flame . US8034290B1 CLAIM 14 . The method of claim 13 , wherein the first predetermined amount of time ranges from about one second (first signal, first data, first location, first signal tracking device) to about three seconds .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080140233A1 Filed: 2006-12-12 Issued: 2008-06-12 Determining team effectiveness through sporting events (Original Assignee) International Business Machines Corp (Current Assignee) International Business Machines Corp Lisa A. Seacat
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person has a contagion ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (time t) and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (time t) tracking device .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (time t) and second data are real time data or historical data .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (time t) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (time t) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons relative to one or more first persons (computer readable program) ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20080140233A1 CLAIM 15 . A computer program product comprising a computer useable medium including a computer readable program (first persons) , wherein the computer readable program when executed on a computer causes the computer to : generate location data by tracking a location for at least some players in the sports team during the ongoing sports game ; and process the location data in real time in a computer to determine a team effectiveness for the sports team .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons (computer readable program) , or when the second person becomes infected and then is a new first person in subsequent travel .	US20080140233A1 CLAIM 15 . A computer program product comprising a computer useable medium including a computer readable program (first persons) , wherein the computer readable program when executed on a computer causes the computer to : generate location data by tracking a location for at least some players in the sports team during the ongoing sports game ; and process the location data in real time in a computer to determine a team effectiveness for the sports team .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons (computer readable program) to the new first person .	US20080140233A1 CLAIM 15 . A computer program product comprising a computer useable medium including a computer readable program (first persons) , wherein the computer readable program when executed on a computer causes the computer to : generate location data by tracking a location for at least some players in the sports team during the ongoing sports game ; and process the location data in real time in a computer to determine a team effectiveness for the sports team .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (time t) regarding a first person at a first location at a first time (time t) , wherein the first person is at a first event ; receiving second data regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080140233A1 CLAIM 13 . The method of claim 1 , further including : transmitting the location data in real time t (first data, first time, first signal) o a public accessible network for further processing .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20070073841A1 Filed: 2006-11-29 Issued: 2007-03-29 Weather information delivery systems and methods providing planning functionality and navigational tools (Original Assignee) Weather Co LLC (Current Assignee) DTN LLC Mark Ryan, Jody Fennell, Joe Pearson
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route (second navigation) of an MCD or a person having a positive proximity relationship based on historical travel data (second navigation) .	US20070073841A1 CLAIM 12 . A method of permitting navigation through a weather site on the Internet , comprising : allowing a consumer to select from any one or a combination of a plurality of navigational modes available at the weather site , the navigation modes including at least two from the group comprising : navigating through a geographical architecture provided by the weather site in which weather information is arranged in a hierarchical manner ; navigating through a categorical architecture in which weather information is grouped by category ; navigating through a contextual architecture in which information is organized into contextually-related groups of pages ; navigating through a temporal architecture in which information is interrelated chronologically ; receiving a first request from the consumer through one of the navigation modes , the request including a first constraint for allowing the consumer to move within a selected one of the architectures ; delivering a first set of information to the consumer in response to the request and the first constraint ; permitting the consumer to switch to a second navigation (travel route, travel data, providing travel data) mode ; receiving a second request from the consumer through the second navigation mode , the second request including a second constraint for allowing the consumer to move within the second architecture ; and delivering a second of information to the consumer in response to the second request ; wherein the second set of information delivered to the consumer is selected based on both the first constraint and the second constraint .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route (second navigation) of an MCD or a person having a negative proximity relationship based on historical travel data (second navigation) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20070073841A1 CLAIM 12 . A method of permitting navigation through a weather site on the Internet , comprising : allowing a consumer to select from any one or a combination of a plurality of navigational modes available at the weather site , the navigation modes including at least two from the group comprising : navigating through a geographical architecture provided by the weather site in which weather information is arranged in a hierarchical manner ; navigating through a categorical architecture in which weather information is grouped by category ; navigating through a contextual architecture in which information is organized into contextually-related groups of pages ; navigating through a temporal architecture in which information is interrelated chronologically ; receiving a first request from the consumer through one of the navigation modes , the request including a first constraint for allowing the consumer to move within a selected one of the architectures ; delivering a first set of information to the consumer in response to the request and the first constraint ; permitting the consumer to switch to a second navigation (travel route, travel data, providing travel data) mode ; receiving a second request from the consumer through the second navigation mode , the second request including a second constraint for allowing the consumer to move within the second architecture ; and delivering a second of information to the consumer in response to the second request ; wherein the second set of information delivered to the consumer is selected based on both the first constraint and the second constraint .
US10198779B2 CLAIM 15 . The method of claim 1 , further comprising monitoring a travel route (second navigation) of a MCD or a person having a negative or positive proximity relationship in real time .	US20070073841A1 CLAIM 12 . A method of permitting navigation through a weather site on the Internet , comprising : allowing a consumer to select from any one or a combination of a plurality of navigational modes available at the weather site , the navigation modes including at least two from the group comprising : navigating through a geographical architecture provided by the weather site in which weather information is arranged in a hierarchical manner ; navigating through a categorical architecture in which weather information is grouped by category ; navigating through a contextual architecture in which information is organized into contextually-related groups of pages ; navigating through a temporal architecture in which information is interrelated chronologically ; receiving a first request from the consumer through one of the navigation modes , the request including a first constraint for allowing the consumer to move within a selected one of the architectures ; delivering a first set of information to the consumer in response to the request and the first constraint ; permitting the consumer to switch to a second navigation (travel route, travel data, providing travel data) mode ; receiving a second request from the consumer through the second navigation mode , the second request including a second constraint for allowing the consumer to move within the second architecture ; and delivering a second of information to the consumer in response to the second request ; wherein the second set of information delivered to the consumer is selected based on both the first constraint and the second constraint .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (selected category) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20070073841A1 CLAIM 20 . A method of providing weather-related information over a network comprising : providing a user interface to a user , wherein the user interface comprises a what/where navigation tool comprising (i) a what-choice for the user to select a selected category (second persons) of information , (ii) a where-choice for the user to select a selected geographic region , and (iii) a submit-choice for the user to submit a request for weather-related information corresponding to the selected category of information and the selected geographic region ; receiving the request from the user , wherein the request identifies the selected category of information and the selected geographic region ; in response to receiving the request , retrieving weather-related information corresponding to the selected category of information and the selected geographic region ; and providing the weather-related information to the user over the network .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (second navigation) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20070073841A1 CLAIM 12 . A method of permitting navigation through a weather site on the Internet , comprising : allowing a consumer to select from any one or a combination of a plurality of navigational modes available at the weather site , the navigation modes including at least two from the group comprising : navigating through a geographical architecture provided by the weather site in which weather information is arranged in a hierarchical manner ; navigating through a categorical architecture in which weather information is grouped by category ; navigating through a contextual architecture in which information is organized into contextually-related groups of pages ; navigating through a temporal architecture in which information is interrelated chronologically ; receiving a first request from the consumer through one of the navigation modes , the request including a first constraint for allowing the consumer to move within a selected one of the architectures ; delivering a first set of information to the consumer in response to the request and the first constraint ; permitting the consumer to switch to a second navigation (travel route, travel data, providing travel data) mode ; receiving a second request from the consumer through the second navigation mode , the second request including a second constraint for allowing the consumer to move within the second architecture ; and delivering a second of information to the consumer in response to the second request ; wherein the second set of information delivered to the consumer is selected based on both the first constraint and the second constraint .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (second navigation) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20070073841A1 CLAIM 12 . A method of permitting navigation through a weather site on the Internet , comprising : allowing a consumer to select from any one or a combination of a plurality of navigational modes available at the weather site , the navigation modes including at least two from the group comprising : navigating through a geographical architecture provided by the weather site in which weather information is arranged in a hierarchical manner ; navigating through a categorical architecture in which weather information is grouped by category ; navigating through a contextual architecture in which information is organized into contextually-related groups of pages ; navigating through a temporal architecture in which information is interrelated chronologically ; receiving a first request from the consumer through one of the navigation modes , the request including a first constraint for allowing the consumer to move within a selected one of the architectures ; delivering a first set of information to the consumer in response to the request and the first constraint ; permitting the consumer to switch to a second navigation (travel route, travel data, providing travel data) mode ; receiving a second request from the consumer through the second navigation mode , the second request including a second constraint for allowing the consumer to move within the second architecture ; and delivering a second of information to the consumer in response to the second request ; wherein the second set of information delivered to the consumer is selected based on both the first constraint and the second constraint .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20080109404A1 Filed: 2006-11-03 Issued: 2008-05-08 Location dependent music search (Original Assignee) Sony Mobile Communications AB (Current Assignee) Sony Mobile Communications AB Anders O. HOLM
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (Global Positioning, remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system (Global Positioning, remote device) .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 8 . The method of claim 1 , wherein the contagion is any virus or microbe or organism or chemical or radiation emitter (signal receiver, base station) or other communicable entity .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning System (GPS) satellites or one or more base station (radiation emitter) s ; and determining the location information based on the received signals . US20080109404A1 CLAIM 6 . A portable electronic device comprising : a position signal receiver (radiation emitter) for determining location information that identifies a location of the portable electronic device ; one or more processors configured to : submit a query to a database , the query including the location information ; accept a list of music sources associated with the location information from the database as a result of the query submitted to the database ; and select a music source from the list , wherein the portable electronic device produces an audio signal associated with the selected music source when the music source is selected from the list .
US10198779B2 CLAIM 12 . The method of claim 11 , wherein the opted-in application performs one or more of : pushing travel instructions to the MCD based on its proximity relationship being positive or negative ; providing contagion information about the contagion to the MCD upon determination of an epidemic of the contagion ; providing the proximity relationship to a proximity relationship database on a server computing system (Global Positioning, remote device) , which is stored as either positive or negative .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 13 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data (Global Positioning, remote device) .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 14 . The method of claim 1 , further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data (Global Positioning, remote device) , and performing one or more of the following : providing travel instructions to travel away from a contagion zone ; providing travel instructions to a safe zone ; modulating traffic lights on the predicted travel route .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 17 . The method of claim 1 , further comprising modeling spread of the contagion based on historical travel data (Global Positioning, remote device) for a plurality of first persons , or when the second person becomes infected and then is a new first person in subsequent travel .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 18 . The method of claim 1 , further comprising : providing travel data (Global Positioning, remote device) to safe location to the second person ; determining that the second person has been exposed to the contagion and labeling the second person as a new first person ; and providing travel data to a place for contaminated first persons to the new first person .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (Global Positioning, remote device) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20080109404A1 CLAIM 2 . The method as in claim 1 , wherein determining location information includes : receiving signals from Global Positioning (server computing system, travel data, receiving second data) System (GPS) satellites or one or more base stations ; and determining the location information based on the received signals . US20080109404A1 CLAIM 18 . A device comprising . means for determining location information that identifies a location of the device ; means for submitting a request that includes the location information of the device to a remote device (server computing system, travel data, receiving second data) ; means for accepting records of metadata about music sources associated with the location information from the remote device based on the request ; means for selecting a music source whose record is among the accepted records ; and means for generating an acoustic signal associated with the selected music source .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US8045954B2 Filed: 2006-08-21 Issued: 2011-10-25 Wireless emergency-reporting system (Original Assignee) University of South Florida (Current Assignee) University of South Florida Sean J. Barbeau, Philip L. Winters, Rafael Perez, Miguel Labrador, Nevine Georggi
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US8045954B2 CLAIM 6 . The computer system of claim 1 , wherein the mobile device is contacted with a phone call (receiving second data) .
US10198779B2 CLAIM 3 . The method of claim 1 , wherein the first location is within a first contagious zone of a first signal (software instructions) tracking device .	US8045954B2 CLAIM 1 . A computer system for processing messages indicative of an emergency received from a mobile device , comprising : a processor ; and a tangible memory storage including software instructions (first signal) that cause the computer system to perform : receiving a transmission , containing the mobile device' ; s position information , and at least one emergency identifier , from the mobile device , displaying a geographic map , having user-selectable modes , on a graphical user interface , wherein the user-selectable modes include a map mode , a satellite mode , and a hybrid mode , displaying a marker on the geographic map indicating the mobile device' ; s position information , rendering the received emergency identifier as a thumbnail , displaying the thumbnail on the graphical user interface in correlation with the mobile device' ; s position information , responsive to selection of the marker , receiving a user selection of an area on the geographic map , and contacting the mobile device if the mobile device is located within the selected area , wherein the computer processes messages indicative of an emergency received from the mobile device .
US10198779B2 CLAIM 6 . The method of claim 1 , wherein the first location is one or more of : within a strong proximity zone of a first signal (software instructions) tracking device , the strong proximity zone being defined by an area where the contagion is highly contagious ; within a medium proximity zone of the first signal tracking device , the medium proximity zone being defined by an area where the contagion is moderately contagious ; within a weak proximity zone of the first signal tracking device , the weak proximity zone being defined by an area where the contagion is weakly contagious ; and outside of a weak proximity zone of the first signal tracking device , where being outside of the weak proximity zone is defined by an area where the contagion is not contagious .	US8045954B2 CLAIM 1 . A computer system for processing messages indicative of an emergency received from a mobile device , comprising : a processor ; and a tangible memory storage including software instructions (first signal) that cause the computer system to perform : receiving a transmission , containing the mobile device' ; s position information , and at least one emergency identifier , from the mobile device , displaying a geographic map , having user-selectable modes , on a graphical user interface , wherein the user-selectable modes include a map mode , a satellite mode , and a hybrid mode , displaying a marker on the geographic map indicating the mobile device' ; s position information , rendering the received emergency identifier as a thumbnail , displaying the thumbnail on the graphical user interface in correlation with the mobile device' ; s position information , responsive to selection of the marker , receiving a user selection of an area on the geographic map , and contacting the mobile device if the mobile device is located within the selected area , wherein the computer processes messages indicative of an emergency received from the mobile device .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (phone call) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US8045954B2 CLAIM 6 . The computer system of claim 1 , wherein the mobile device is contacted with a phone call (receiving second data) .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20070298812A1 Filed: 2006-06-21 Issued: 2007-12-27 System and method for naming a location based on user-specific information (Original Assignee) EKTIMISI HOLDINGS LLC; EKTIMISI SEMIOTICS HOLDINGS LLC (Current Assignee) SCENERA MOBILE TECHNOLOGIES LLC Munindar P. Singh, Mona Singh
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time (graphical information) , wherein the first person has a contagion ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20070298812A1 CLAIM 1 . A system for naming a location , the system comprising : a mobile communication device associated with a user comprising a position locator system configured to identify a location of the mobile communication device ; a first data (first data) store for storing general information relating to the location , wherein the general information is managed by or for an entity other than the user ; a second data (second data) store for storing user-specific information that is managed by or for the user ; and a name generation module configured to receive the location of the mobile communication device , to retrieve from the first data store general information relating to the location , and to generate a name for the location based on an atemporal correlation between the general information relating to the location and the user-specific information . US20070298812A1 CLAIM 2 . The system of claim 1 wherein the first data store includes geographical information (first time, proximity time) that maps the location to an address , and at least one directory that maps an address to address-specific information including at least one of a telephone number , electronic message address , name , and business name .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (first data) and second data (second data) is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20070298812A1 CLAIM 1 . A system for naming a location , the system comprising : a mobile communication device associated with a user comprising a position locator system configured to identify a location of the mobile communication device ; a first data (first data) store for storing general information relating to the location , wherein the general information is managed by or for an entity other than the user ; a second data (second data) store for storing user-specific information that is managed by or for the user ; and a name generation module configured to receive the location of the mobile communication device , to retrieve from the first data store general information relating to the location , and to generate a name for the location based on an atemporal correlation between the general information relating to the location and the user-specific information .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (first data) and second data (second data) are real time data or historical data .	US20070298812A1 CLAIM 1 . A system for naming a location , the system comprising : a mobile communication device associated with a user comprising a position locator system configured to identify a location of the mobile communication device ; a first data (first data) store for storing general information relating to the location , wherein the general information is managed by or for an entity other than the user ; a second data (second data) store for storing user-specific information that is managed by or for the user ; and a name generation module configured to receive the location of the mobile communication device , to retrieve from the first data store general information relating to the location , and to generate a name for the location based on an atemporal correlation between the general information relating to the location and the user-specific information .
US10198779B2 CLAIM 5 . The method of claim 1 , wherein the first time (graphical information) is designated to be within a contagion timeframe , and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time .	US20070298812A1 CLAIM 2 . The system of claim 1 wherein the first data store includes geographical information (first time, proximity time) that maps the location to an address , and at least one directory that maps an address to address-specific information including at least one of a telephone number , electronic message address , name , and business name .
US10198779B2 CLAIM 7 . The method of claim 1 , wherein the proximity time (graphical information) period is one or more of : within a short timeframe , the short timeframe being defined as within a highly contagious timeframe ; within a medium timeframe , the medium timeframe being defined as within a moderately contagious timeframe ; within a long timeframe , the long timeframe being defined as within a minimally contagious timeframe ; and within a long timeframe , the long timeframe being defined as a non-contagious timeframe .	US20070298812A1 CLAIM 2 . The system of claim 1 wherein the first data store includes geographical information (first time, proximity time) that maps the location to an address , and at least one directory that maps an address to address-specific information including at least one of a telephone number , electronic message address , name , and business name .
US10198779B2 CLAIM 16 . The method of claim 1 , further comprising : obtaining the proximity relationships of a plurality of second persons (telephone number) relative to one or more first persons ; and modeling spread of the contagion based on facts of the contagion and the proximity relationships .	US20070298812A1 CLAIM 2 . The system of claim 1 wherein the first data store includes geographical information that maps the location to an address , and at least one directory that maps an address to address-specific information including at least one of a telephone number (second persons) , electronic message address , name , and business name .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time (graphical information) , wherein the first person is at a first event ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time (graphical information) period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20070298812A1 CLAIM 1 . A system for naming a location , the system comprising : a mobile communication device associated with a user comprising a position locator system configured to identify a location of the mobile communication device ; a first data (first data) store for storing general information relating to the location , wherein the general information is managed by or for an entity other than the user ; a second data (second data) store for storing user-specific information that is managed by or for the user ; and a name generation module configured to receive the location of the mobile communication device , to retrieve from the first data store general information relating to the location , and to generate a name for the location based on an atemporal correlation between the general information relating to the location and the user-specific information . US20070298812A1 CLAIM 2 . The system of claim 1 wherein the first data store includes geographical information (first time, proximity time) that maps the location to an address , and at least one directory that maps an address to address-specific information including at least one of a telephone number , electronic message address , name , and business name .

US10198779B2 Filed: 2016-06-03 Issued: 2019-02-05 Tracking proximity relationships and uses thereof (Original Assignee) Blyncsy Inc (Current Assignee) Blyncsy Inc Mark Eric Pittman, Chris Robison, Justin Cosmano, Patrick Barry Brown, David Jacques Sacharny	US20070285426A1 Filed: 2006-06-08 Issued: 2007-12-13 Graph with zoom operated clustering functions (Original Assignee) Matina Nicholas A Nicholas A. Matina
US10198779B2 CLAIM 1 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time , wherein the first person has a contagion ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the contagion ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the contagion ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being contaminated by the contagion ; in response to the proximity relationship being negative , labeling the second person as being uncontaminated by the contagion ; and saving the label of the second person relative to whether being contaminated or uncontaminated .	US20070285426A1 CLAIM 8 . A system having a first computer programmed to : (1) present a first display of a plurality of data points in an at least two-dimensional graph using a first data (first data) point per scale resolution ; (2) allow a user to zoom within the first display within a range that is characterized by at least one of a predetermined minimum and maximum of data points per scale in at least one dimension of the first display ; and (3) present a second display of the plurality of data points in an at least two-dimensional graph using a second data (second data) point per scale resolution once the user zooms outside the range .
US10198779B2 CLAIM 2 . The method of claim 1 , wherein the first data (first data) and second data (second data) is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system .	US20070285426A1 CLAIM 8 . A system having a first computer programmed to : (1) present a first display of a plurality of data points in an at least two-dimensional graph using a first data (first data) point per scale resolution ; (2) allow a user to zoom within the first display within a range that is characterized by at least one of a predetermined minimum and maximum of data points per scale in at least one dimension of the first display ; and (3) present a second display of the plurality of data points in an at least two-dimensional graph using a second data (second data) point per scale resolution once the user zooms outside the range .
US10198779B2 CLAIM 4 . The method of claim 1 , wherein the first data (first data) and second data (second data) are real time data or historical data .	US20070285426A1 CLAIM 8 . A system having a first computer programmed to : (1) present a first display of a plurality of data points in an at least two-dimensional graph using a first data (first data) point per scale resolution ; (2) allow a user to zoom within the first display within a range that is characterized by at least one of a predetermined minimum and maximum of data points per scale in at least one dimension of the first display ; and (3) present a second display of the plurality of data points in an at least two-dimensional graph using a second data (second data) point per scale resolution once the user zooms outside the range .
US10198779B2 CLAIM 19 . A method of determining proximity relationships , comprising : receiving first data (first data) regarding a first person at a first location at a first time , wherein the first person is at a first event ; receiving second data (second data) regarding a second person at a second location at a second time ; determining whether the first location is within a proximity distance to the second location , wherein the proximity distance has a predetermined value , wherein the predetermined value of the proximity distance is defined by the first event ; determining whether the first time is within a proximity time period with the second time , wherein the proximity time period has a predetermined value , wherein the predetermined value of the proximity time is defined by the first event ; defining a proximity relationship for the second person relative to the first person , wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period , or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period ; in response to the proximity relationship being positive , labeling the second person as being exposed to the first event ; in response to the proximity relationship being negative , labeling the second person as being not exposed to the first event ; and saving the label of the second person relative to whether being exposed or unexposed .	US20070285426A1 CLAIM 8 . A system having a first computer programmed to : (1) present a first display of a plurality of data points in an at least two-dimensional graph using a first data (first data) point per scale resolution ; (2) allow a user to zoom within the first display within a range that is characterized by at least one of a predetermined minimum and maximum of data points per scale in at least one dimension of the first display ; and (3) present a second display of the plurality of data points in an at least two-dimensional graph using a second data (second data) point per scale resolution once the user zooms outside the range .