Processing of Geo-Spatial Athletics Sensor Data

• US 20150265876A1
• Filed: 03/19/2014
• Published: 09/24/2015
• Est. Priority Date: 03/19/2014
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Abraham, Torsten, Foebel, Florian, Gruschko, Boris, Kazmaier, Gerrit Simon, Lahmer, Christian, Licht, Nico, Lieberenz, Marcus, Volker, Lars
• Granted Patent: US 9,645,224 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01S 19/19 Sporting applications
• CPC Class Codes: G01S 5/0027 of actual mobile position, i.e. position determined on mobile

Abstract

Correlated and processed data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes a series of time-stamped frames for each of the sensors. Subsequently, events of interest are identified, in real-time, based on relative positions of the sources within the zone of interest prior to the data being written to a data storage application. Data can then be provided (e.g., loaded, stored, displayed, transmitted, etc.), in real-time, that characterize the events of interest. Related apparatus, systems, techniques and articles are also described.

Claims

1. A method comprising:

receiving correlated and processed data derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest, the data comprising a series of time-stamped frames for each of the sensors;

identifying, in real-time, events of interest based on relative positions of the sources within the zone of interest prior to the data being written to a data storage application; and

providing data, in real-time, characterizing the events of interest.

2. A method as in claim 1, wherein the sources comprises athletes and at least one athletic equipment item.

3. A method as in claim 2, wherein the at least one athletic equipment item comprises a ball.

4. A method as in claim 2 further comprising:

determining, among a plurality of balls, an active ball.

5. A method as in claim 3 further comprising:

determining which of two or more teams has possession of the ball.

6. A method as in claim 1, wherein the events of interest comprise goals.

7. A method as in claim 1, wherein the events of interest comprises kicks on goal.

8. A method as in claim 1, wherein the events of interest comprise passes from a first player to a second player.

9. A method as in claim 8, wherein the events of interest comprise an interception of a ball from a player from a first team by a player from a second team.

10. A method as in claim 1, wherein the events of interest comprise a first player on a first team covering a second player on a second team.

11. A method as in claim 10 further comprising:

determining an outer boundary of coverage of the first player in relation to the second player.

12. A method as in claim 1, wherein the data storage application comprises an in-memory database.

13. A method as in claim 12, wherein the in-memory database comprises a columnar data store storing data in a columnwise-fashion.

14. A method as in claim 1, wherein the receiving, identifying, and processing, are implemented by at least one data processor forming part of at least one computing system.

15. A method as in claim 1, wherein the events of interest comprise scoring events in an athletic events and relative positions of among the sources.

16. A non-transitory computer program product storing instructions which, when executed by at least one data processor forming part of at least one computing system, result in operations comprising:

receiving correlated and processed data derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest, the data comprising a series of time-stamped frames for each of the sensors;

identifying, in real-time, events of interest based on relative positions of the sources within the zone of interest prior to the data being written to a data storage application; and

providing data, in real-time, characterizing the events of interest.

17. A computer program product as in claim 16, wherein:

the sources comprises athletes and at least one athletic equipment item.

the at least one athletic equipment item comprises a ball;

the method further comprises;

determining, among a plurality of balls, an active ball.

determining which of two or more teams has possession of the ball.

18. A computer program product as in claim 16, wherein the events of interest comprise goals.

19. A computer program product as in claim 16, wherein the events of interest comprises kicks on goal.

20. A system comprising:

an in-memory database comprising a columnar data store storing data in a columnwise-fashion;

at least one data processor; and

memory storing instructions which, when executed by the at least one data processor, result in operations comprising;

receiving correlated and processed data derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest, the data comprising a series of time-stamped frames for each of the sensors;

identifying, in real-time, events of interest based on relative positions of the sources within the zone of interest prior to the data being written to in-memory database; and

providing data, in real-time, characterizing the events of interest.