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

Patent metadata

Field	Value
Publication number	US-9839809-B2
Application number	US-201615396110-A
Country	US
Kind code	B2
Filing date	Dec 30, 2016
Priority date	Jun 6, 2013
Publication date	Dec 12, 2017
Grant date	Dec 12, 2017

Abstract

Systems, methods, apparatuses, and computer readable media are disclosed for determining events and outputting events based on real-time data for location and movement of objects and audio data. In one embodiment, a method is provided for a method of determining play events that at least includes receiving audio data, wherein the audio data is received from at least one of a memory or a sensor; determining an event probability based on comparing the audio data to an audio profile; and generating an event based on the event probability satisfying a predetermined threshold.

First claim

That which is claimed:

1. A method comprising:
determining, using a processor, tag location data based on blink data and time measurements, the blink data generated by a plurality of location tags carried by participants, the blink data received at a plurality of receivers disposed about a monitored area including the location tags;
synchronizing, using the processor, the tag location data and audio data, the audio data generated by a sensor in the monitored area;
determining, using the processor, an event probability based on both the audio data and the tag location data by:
identifying a status of a play based on the audio data, wherein the status of the play is one or more of play starting, play in progress, or play ended; and
identifying a type of movement of participants based on the tag location data; and

generating, using the processor, an event based on the event probability satisfying a threshold.

2. A method as defined in claim 1 , wherein the sensor is affixed to a particular participant, and further comprising requiring the audio data to be received from the sensor affixed to the particular participant.

3. A method as defined in claim 1 , wherein identifying the status of the play based on the audio data comprises comparing the audio data to a quarterback cadence profile.

4. A method as defined in claim 1 , wherein identifying the status of the play based on the audio data comprises comparing the audio data to a whistle profile.

5. A method as defined in claim 1 , wherein identifying the status of the play based on the audio data comprises comparing the audio data to an impact noise profile.

6. A method as defined in claim 1 , wherein synchronizing the audio data and the tag location data comprises:
associating the tag location data with the audio data; and
associating the time data with the tag location data.

7. A method as defined in claim 1 , wherein identifying the type of movement of participants based on the tag location data comprises comparing the tag location data to event models.

8. A method as defined in claim 1 , wherein the audio data is associated with an official and the tag location data is associated with players.

9. A computer program product for determining events, the computer program product comprising a non-transitory computer readable storage medium and computer program instructions stored thereon, the computer program instructions comprising program instructions at least configured to:
determine tag location data based on blink data and time measurements, the blink data generated by a plurality of location tags carried by participants, the blink data received at a plurality of receivers disposed about a monitored area including the location tags;
synchronize the tag location data and audio data, the audio data generated by a sensor in the monitored area;
determine an event probability based on both the audio data and the tag location data by:
identifying a status of a play based on the audio data, wherein the status of the play is one or more of play starting, play in progress, or play ended; and
identifying a type of movement of participants based on the tag location data; and

generate an event based on the event probability satisfying a threshold.

10. A computer program product as defined in claim 9 , wherein the sensor is affixed to a particular participant, and the audio data is required to be received from the sensor affixed to the particular participant.

11. A computer program product as defined in claim 9 , wherein the computer program instructions are configured to identify the status of the play based on the audio data by comparing the audio data to a quarterback cadence profile.

12. A computer program product as defined in claim 9 , wherein the computer program instructions are configured to identify the status of the play based on the audio data by comparing the audio data to a whistle profile.

13. A computer program product as defined in claim 9 , wherein the computer program instructions are configured to identify the status of the play based on the audio data by comparing the audio data to an impact noise profile.

14. A computer program product as defined in claim 9 , wherein the computer program instructions are configured to synchronize the audio data and the tag location data by:
associating the tag location data with the audio data; and
associating the time data with the tag location data.

15. A computer program product as defined in claim 9 , wherein the computer program instructions are configured to identify the type of movement of participants based on the tag location data by comparing the tag location data to event models.

16. A computer program product as defined in claim 9 , wherein the audio data is associated with an official and the tag location data is associated with players.

17. An apparatus for determining events comprising at least one processor and at least one memory including computer instructions configured to, in cooperation with the at least one processor, cause the apparatus to:
determine tag location data based on blink data and time measurements, the blink data generated by a plurality of location tags carried by participants, the blink data received at a plurality of receivers disposed about a monitored area including the location tags;
synchronize the tag location data and audio data, the audio data generated by a sensor in the monitored area;
determine an event probability based on both the audio data and the tag location data by:
identifying a status of a play based on the audio data, wherein the status of the play is one or more of play starting, play in progress, or play ended; and
identifying a type of movement of participants based on the tag location data; and

generate an event based on the event probability satisfying a threshold.

18. An apparatus as defined in claim 17 , wherein the sensor is affixed to a particular participant, and the audio data is required to be received from the sensor affixed to the particular participant.

19. An apparatus as defined in claim 17 , the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to identify the status of the play based on the audio data by comparing the audio data to a quarterback cadence profile.

20. An apparatus as defined in claim 17 , wherein the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to identify the status of the play based on the audio data by comparing the audio data to a whistle profile.

21. An apparatus as defined in claim 17 , the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to identify the status of the play based on the audio data by comparing the audio data to an impact noise profile.

22. An apparatus as defined in claim 17 , the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to synchronize the audio data and the tag location data by:
associating the tag location data with the audio data; and
associating the time data with the tag location data.

23. An apparatus as defined in claim 17 , the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor

Assignees

• Zih Corp

Inventors

• Wohl Michael A
• Traeger Cynthia
• O'Hagan James J

Classifications

• G06N7/01

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

• G06F16/9554

  by using bar codes · CPC title

• G06N5/02

  Knowledge representation; Symbolic representation · CPC title

• H04B1/71635

  Transmitter aspects (H04B1/7174 takes precedence) · CPC title

• H04B1/719

  Interference-related aspects · CPC title