System and method for predicting future meetings of wireless users

• US 9,019,077 B2
• Filed: 02/19/2010
• Issued: 04/28/2015
• Est. Priority Date: 02/22/2009
• Status: Active Grant

• Current Assignee: Cognyte Technologies Israel Ltd. (Cognyte Software Ltd.)
• Original Assignee: Verint Systems Limited (Verint Systems Incorporated)
• Inventors: Hazzani, Gideon
• Primary Examiner(s): Lieu, Julie
• Assistant Examiner(s): BURGDORF, STEPHEN R
• Application Number:
  US12/708,558
• Publication Number:
  US 20100214117A1
• Time in Patent Office: 1,894 Days
• Field of Search: 340/3.1, 340/3.3, 340/3.32, 340/3.4, 340/3.41, 340/8.1, 340/FOR.437, 342450-465, 4554561-463, 455/404.2, 455440-441, 701200-205, 701/210, 701/214, 701/217, 701/302, 706/21
• US Class Current: 340/8.1
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Methods and system for predicting a future location of users of wireless communications terminals. Location information indicating respective locations of multiple wireless communication terminals may be received and processed so as to predict a future meeting among respective users of the wireless communication terminals. An action may be taken with respect to the predicted future meeting. The location information may be received from a wireless communication network to obtain a Point-of-Interest (POI) that is related to one or more of the users from a characteristic location profile of the one or more users. The POI may be indicated as the likely location of the future meeting.

Claims

1. A method executable on a monitoring center system which comprises an interface for communication with a wireless communication network and a processor, the method comprising:

identifying, by the monitoring center system, relationships among multiple wireless communication terminals based on communications within a wireless communication network;

receiving, by the monitoring center system, location records each associated with a respective wireless communication terminal of the multiple wireless communication terminals, wherein each location record comprises an identity number identifying the respective wireless communication terminal and a vector having two to three dimensions which indicates the current geographic location of the respective wireless communication terminal;

identifying, by the monitoring center system, a subgroup of the multiple wireless communication terminals, whose meetings between members of the subgroup are of interest to operators of the monitoring center system based on the identified relationships;

analyzing the location records of the wireless communication terminals in the subgroup and producing, for each wireless communication terminal in the subgroup, current location data and current movement data, wherein the data comprises a two- or three-dimensional vector representing two or three Cartesian coordinates of the wireless communication terminals;

predicting, by the monitoring center system, a likelihood of a future meeting occurring among the respective users of the wireless communication terminals in the subgroup by determining future location coordinates for each wireless communication terminal in the subgroup which indicate where each of the wireless communications terminals in the subgroup is expected to be located at a given time in accordance with its respective current location data and respective current movement data, wherein the future location coordinates define a geographic convergence area that indicates the likelihood of the future meeting occurring based on the relative size of the defined geographic convergence area; and

producing, by the monitoring center system, predicted meeting records for each predicted meeting and presenting the predicted meeting records to the operators of the monitoring center system.

2. The method according to claim 1, wherein the location information received was produced by the wireless communication network.

3. The method according to claim 1, further comprising calculating a likely location of the future meeting.

4. The method according to claim 3, wherein calculating the likely location comprises obtaining a Point-of-Interest (POI) related to one or more of the users from a characteristic location profile of the one or more users, identifying that the POI is within the defined convergence area, and indicating the POI as the likely location of the future meeting.

5. The method according to claim 1, wherein each of the predicted meeting records comprises the expected meeting participants, the likelihood of the future meeting occurring, a time range at which the future meeting is expected to occur, and the likely location of the predicted meeting.

9. The method according to claim 1, wherein each of the predicted meeting records comprises the expected meeting participants, the likelihood of the future meeting occurring, a time range at which the future meeting is expected to occur, and the likely location of the predicted meeting.

6. A monitoring center system, comprising:

an interface that receives location records each associated with a respective wireless communication terminal of multiple wireless communication terminals that communicate within a wireless communication network, wherein each location record comprises an identity number identifying the respective wireless communication terminal and a vector having two or three dimensions which indicates the current geographic location of the respective wireless communication terminal; and

a processor that;

identifies relationships among the multiple wireless communication terminals based on communications within a wireless communication network;

identifies a subgroup of the multiple wireless communication terminals, whose meetings between members of the subgroup are of interest to operators of the monitoring center system based on the identified relationships;

analyzes the location records of the wireless communication terminals in the subgroup and produces, for each wireless communication terminal in the subgroup, current location data and current movement data, wherein the data comprises a two- or three-dimensional vector representing two or three Cartesian coordinates of the wireless communication terminals;

predicts a likelihood of a future meeting occurring among the respective users of the wireless communication terminals in the subgroup and a likely location for the predicted future meetings, by determining future location coordinates for each wireless communication terminal in the subgroup which indicates where each wireless communications terminal in the subgroup is expected to be located at a given time in accordance with its respective current location data and respective current movement data, wherein the future location coordinates define a geographic convergence area that indicates the likelihood of the future meeting occurring based on the relative size of the defined geographic convergence area, and wherein the likely location of the predicted future meeting lies within the defined geographic convergence area; and

produces predicted meeting records for each predicted meeting and presents the predicted meeting records to the operators of the monitoring center system.

7. The monitory center system according to claim 6, wherein the processor calculates a likely location of the future meeting.

8. The monitoring center system according to claim 7, wherein the processor calculates the likely location of the future meeting by at least obtaining a Point-of-Interest (POI) related to one or more of the users from a characteristic location profile of the one or more users, identifying whether the POI is within the defined geographic convergence area, and indicating the POI as the likely location of the future meeting.