Method, apparatus, and computer program product for performance analytics determining play models and outputting events based on real-time data for proximity and movement of objects

Patent metadata

Field	Value
Publication number	US-10778268-B2
Application number	US-201514725350-A
Country	US
Kind code	B2
Filing date	May 29, 2015
Priority date	Jun 6, 2013
Publication date	Sep 15, 2020
Grant date	Sep 15, 2020

Abstract

Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics using real time data on movement and proximity of tagged objects for determining play models and outputting events. In one embodiment, a method is provided for determining play data that at least includes correlating at least one tag to a participant; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; determining participant location data based on the comparing the tag location data to the participant dynamics/kinetics models.

First claim

That which is claimed:

1. A method comprising:
receiving blink data transmitted by a plurality of tags;
determining, via a processor, tag location data based on the blink data;
receiving participant role data including first participant role data associated with a first one of the plurality of tags carried by a first participant and second participant role data associated with a second one of the plurality of tags carried by a second participant;
comparing, via the processor, the tag location data to participant dynamics/kinetics models;
determining, via the processor, participant location data based on the comparing the tag location data to the participant dynamics/kinetics models;
generating, via the processor, role-weighted participant location data by (1) weighting a first subset of the participant location data based on the first participant role data and (2) weighting a second subset of the participant location data based on the second participant role data, wherein the first subset is weighted differently than the second subset;
comparing, via the processor, the role-weighted participant location data to formation models; and
determining, via the processor, formation data based on the comparing the role-weighted participant location data to the formation models.

2. The method of claim 1 further comprising:
receiving field data; and
using the field data for the comparing of the role-weighted participant location data to the formation models.

3. The method of claim 1 further comprising determining play data based on comparing the formation data to play models.

4. The method of claim 1 , further comprising generating a probable play ranked list based on comparing the formation data to play models.

5. The method of claim 3 further comprising updating the play models based on the determined play data.

6. The method of claim 3 further comprising determining output events based at least in part on the participant location data, the formation data, or the play data.

7. The method of claim 6 further comprising providing at least one of the output events to one or more analytics systems or control systems.

8. An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and computer program code configured to, with the processor, cause the apparatus to at least:
receive blink data transmitted by a plurality of tags;
determine tag location data based on the blink data;
receive participant role data including first participant role data associated with a first one of the plurality of tags carried by a first participant and second participant role data associated with a second one of the plurality of tags carried by a second participant;
compare the tag location data to participant dynamics/kinetics models;
determine participant location data based on the comparing the tag location data to the participant dynamics/kinetics models;
generate role-weighted participant location data by (1) weighting a first subset of the participant location data based on the first participant role data and (2) weighting a second subset of the participant location data based on the second participant role data, wherein the first subset is weighted differently than the second subset;
comparing the role-weighted participant location data to formation models; and
determining formation data based on the comparing the role-weighted participant location data to the formation models.

9. The apparatus of claim 8 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
receive field data; and
use the field data for the comparing of the role-weighted participant location data to the formation models.

10. The apparatus of claim 8 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to determine play data based on comparing the formation data to play models.

11. The apparatus of claim 8 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to generate a probable play ranked list based on comparing the formation data to play models.

12. The apparatus of claim 10 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to update the play models based on the determined play data.

13. The apparatus of claim 10 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to determine output events based at least in part on the participant location data, the formation data, or the play data.

14. The apparatus of claim 13 , wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to provide at least one of the output events to one or more analytics systems or control systems.

15. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code portions stored therein, the computer-executable program code portions comprising program code instructions configured to:
receive blink data transmitted by a plurality of tags;
determine tag location data based on the blink data;
receive participant role data including first participant role data associated with a first one of the plurality of tags carried by a first participant and second participant role data associated with a second one of the plurality of tags carried by a second participant;
compare the tag location data to participant dynamics/kinetics models;
determine participant location data based on the comparing the tag location data to the participant dynamics/kinetics models;
generate role-weighted participant location data by (1) weighting a first subset of the participant location data based on the first participant role data and (2) weighting a second subset of the participant location data based on the second participant role data, wherein the first subset is weighted differently than the second subset;
compare the role-weighted participant location data to formation models; and
determine formation data based on the comparing the role-weighted participant location to the formation models.

16. The computer program product of claim 15 , wherein the computer-executable program code portions further comprise program code instructions configured to:
receive field data; and
use the field data for the comparing of the role-weighted participant location data to the formation models.

17. The computer program product of claim 15 , wherein the computer-executable program code portions further comprise program code instructions configured to determine play data based on comparing the formation data to play models.

18. The computer program product of claim 15 , wherein the computer-executable program code portions further comprise program code instructions configured to generate a probable play ranked list based on comparing the formation data to play models.

19. The computer program product of claim 17 , wherein the computer-executable program code portions further comprise program code instructions configured to update the play models based on the determined play data.

20. The computer program product of claim 17 , wherein the computer-executable program code portions further comprise program cod

Assignees

• Zebra Tech Corp

Inventors

• Wohl Michael A
• O'Hagan James J
• Brown Anthony R
• Lodwig Dean

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• H04B1/1036 Primary

  with automatic suppression of narrow band noise or interference, e.g. by using tuneable notch filters (H04B1/123 takes precedence; filter circuits H03H) · CPC title

• G06V40/23

  Recognition of whole body movements, e.g. for sport training · CPC title

• H04W4/02 Primary

  Services making use of location information · CPC title

• G16H40/67

  for remote operation · CPC title