Selective filtering of mobile device movement data

• US 9,854,401 B1
• Filed: 01/20/2017
• Issued: 12/26/2017
• Est. Priority Date: 01/20/2017
• Status: Expired due to Fees

• Current Assignee: DoorDash, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: DeLuca, Lisa Seacat, Greenberger, Jeremy A.
• Primary Examiner(s): Shaheed, Khalid
• Application Number:
  US15/410,900
• Time in Patent Office: 340 Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/901 Indexing; Data structures therefor; Storage structures for retrieval from the web G06F16/951
• CPC Class Codes: G06Q 30/0613 Third-party assisted
• CPC Class Codes: H04M 1/72457 according to geographic location
• 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 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/33 for indoor environments, e.g. buildings

Abstract

Processes for searching and identifying mobile devices of interest are provided based, at least in part, on movement of the multiple mobile devices. The process includes, for instance, obtaining movement data of multiple mobile devices, and receiving a specified movement pattern of interest. The movement data of the multiple mobile devices is compared against the specified movement pattern of interest, and based on the comparing, a data structure is generated at least identifying one or more mobile devices of the multiple mobile devices with a movement data closest to the specified movement pattern of interest. In enhanced embodiments, the movement pattern of interest may be a user-specified travel path or a user-specified pattern of zone movements, for instance, within a venue or within a geographic region.

Claims

1. A computer-implemented method comprising:

obtaining movement data of multiple mobile devices within a venue, including obtaining time related data associated with the movements of the multiple mobile devices within the venue, the time-related data being selected from a group consisting of;

times of day associated with movements of the multiple mobile devices within the venue and dwell times associated with movements of the multiple mobile devices within the venue;

receiving a specified movement pattern of interest through the venue, the specified movement pattern of interest being a venue-specified movement pattern of interest;

comparing, by a processor, the movement data of the multiple mobile devices within the venue against the specified movement pattern of interest through the venue; and

based on the comparing, generating for the venue a data structure at least identifying one or more mobile devices of the multiple mobile devices with movement data within the venue closest to the specified movement pattern of interest through the venue.

2. The computer-implemented method of claim 1, wherein the venue-specified movement pattern is specified via a display interface to a system facilitating performing the computer-implemented method.

3. The computer-implemented method of claim 1, wherein the specified movement pattern of interest comprises a venue-specified travel path through the venue, or a venue-specified pattern of zone movements through the venue.

4. The computer-implemented method of claim 1, further comprising displaying a map including the specified movement pattern of interest and also at least part of the obtained movement data of the multiple mobile devices within the venue.

5. The computer-implemented method of claim 1, further comprising displaying a map including the specified movement pattern of interest and also the movement data of the one or more mobile devices within the venue.

6. The computer-implemented method of claim 1, wherein the generating comprises including within the data structure any mobile device of the multiple mobile devices with movement data matching the specified movement pattern of interest through the venue within a set tolerance.

7. The computer-implemented method of claim 1, wherein the generating includes prioritizing within the data structure the one or more mobile devices based on closeness of the respective movement data to the specified movement pattern of interest within the venue.

8. A system comprising;

a memory; and

a processing unit communicatively coupled to the memory, wherein the system performs a method comprising;

obtaining movement data of multiple mobile devices within a venue, including obtaining time related data associated with the movements of the multiple mobile devices within the venue, the time-related data being selected from a group consisting of;

times of day associated with movements of the multiple mobile devices within the venue and dwell times associated with movements of the multiple mobile devices within the venue;

receiving a specified movement pattern of interest through the venue, the specified movement pattern of interest being a venue-specified movement pattern of interest;

comparing, by a processor, the movement data of the multiple mobile devices within the venue against the specified movement pattern of interest through the venue; and

based on the comparing, generating for the venue a data structure at least identifying one or more mobile devices of the multiple mobile devices with movement data within the venue closest to the specified movement pattern of interest through the venue.

9. The system of claim 8, wherein the venue-specified movement pattern is specified via a display interface of the system.

10. The system of claim 8, wherein the specified movement data pattern of interest comprises a venue-specified travel path through the venue, or a venue-specified pattern of zone movements through the venue.

11. The system of claim 8, further comprising a display showing a map including the specified movement pattern of interest and at least part of the obtained movement data of the multiple mobile devices within the venue.

12. They system of claim 8, wherein the generating comprises including within the data structure any mobile device of the multiple mobile devices with movement data matching the specified movement pattern of interest through the venue within a set tolerance.

13. They system of claim 8, wherein the generating includes prioritizing within the data structure the one or more mobile devices based on closeness of the respective movement data to the specified movement pattern of interest within the venue.

14. A computer program product for filtering mobile device movement data, the computer-program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code being executable by a processor to perform a method comprising;

obtaining movement data of multiple mobile devices within a venue, including obtaining time related data associated with the movements of the multiple mobile devices within the venue, the time-related data being selected from a group consisting of;

times of day associated with movements of the multiple mobile devices within the venue and dwell times associated with movements of the multiple mobile devices within the venue;

receiving a specified movement pattern of interest through the venue, the specified movement pattern of interest being a venue-specified movement pattern of interest;

comparing, by a processor, the movement data of the multiple mobile devices within the venue against the specified movement pattern of interest through the venue; and

based on the comparing, generating for the venue a data structure at least identifying one or more mobile devices of the multiple mobile devices with movement data within the venue closest to the specified movement pattern of interest through the venue.