Personalizing prediction of performance using data and body-pose for analysis of sporting performance

Patent metadata

Field	Value
Publication number	US-12364903-B2
Application number	US-202318336474-A
Country	US
Kind code	B2
Filing date	Jun 16, 2023
Priority date	Mar 1, 2019
Publication date	Jul 22, 2025
Grant date	Jul 22, 2025

Abstract

A method of generating a player prediction is disclosed herein. A computing system retrieves data from a data store. The computing system generates a predictive model using an artificial neural network. The artificial neural network generates one or more personalized embeddings that include player-specific information based on historical performance. The computing system selects, from the data, one or more features related to each shot attempt captured in the data. The artificial neural network learns an outcome of each shot attempt based at least on the one or more personalized embeddings and the one or more features related to each shot attempt.

First claim

What is claimed:

1. A method comprising:
receiving, by a processor of a computing system, real-time tracking data from a tracking system for a sporting event between a first team and a second team,
wherein the tracking system comprises:
a processor;
a memory having programming instructions stored thereon;
an optically-based system using a plurality of cameras, and
wherein the tracking system records motion of one or more players or one or more objects associated with the sporting event;
identifying, by the processor of the computing system, a scoring attempt event in the real-time tracking data for the sporting event;
determining, by the computing system, a set of players involved in the scoring attempt event, the set of players comprising a defensive player defending the scoring attempt event and an offensive player initiating the scoring attempt event;
identifying, by the processor of the computing system, personalized embeddings corresponding to the defensive player;
extracting, by the processor of the computing system, one or more features related to the scoring attempt event, the one or more features comprising a first set of location coordinates corresponding to an origination location of the offensive player initiating the scoring attempt event, second set of location coordinates corresponding to an initial position of the defensive player when the offensive player initiated the scoring attempt event, and body pose information of the offensive player;
predicting, by the processor of the computing system, a likely outcome of the scoring attempt event based on the personalized embeddings of the defensive player and the one or more features related to the scoring attempt event; and
outputting, by the processor of the computing system, a graphical representation of the likely outcome of the scoring attempt for visual depiction via a display.

2. The method of claim 1 , wherein extracting, by the computing system, the one or more features related to the scoring attempt event comprises:
identifying one or more geometric features corresponding to the scoring attempt event based on the one or more features, the one or more geometric features comprising one or more of an angle between the offensive player and the defensive player, a first distance from the offensive player to a center of a goal, or a second distance from the defensive player to the center of the goal.

3. The method of claim 1 , wherein extracting, by the computing system, the one or more features related to the scoring attempt event comprises:
identifying the body pose information of the offensive player initiating the scoring attempt event based on the one or more features, wherein the body pose information includes offensive player start position, angle, run type, or shot initiation.

4. The method of claim 1 , further comprising:
identifying, by the computing system, a second defensive player; and
predicting, by the computing system, a second likely outcome of the scoring attempt event by replacing the defensive player with the second defensive player.

5. The method of claim 4 , further comprising:
generating, by the computing system, a graphical representation comparing the likely outcome of the scoring attempt event with the defensive player to the second likely outcome of the scoring attempt event with the second defensive player.

6. The method of claim 1 , further comprising:
identifying, by the computing system, a second offensive player; and
predicting, by the computing system, a second likely outcome of the scoring attempt event by replacing the offensive player with the second offensive player.

7. The method of claim 6 , further comprising:
generating, by the computing system, a graphical representation comparing the likely outcome of the scoring attempt event with the offensive player to the second likely outcome of the scoring attempt event with the second offensive player.

8. A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by a processor, causes a computing system to perform operations comprising:
receiving, by the processor of the computing system, real-time tracking data from a tracking system for a sporting event between a first team and a second team;
identifying, by the computing system, a scoring attempt event in the tracking data for the sporting event,
wherein the tracking system comprises:
a processor;
a memory having programming instructions stored thereon;
an optically-based system using a plurality of cameras, and
wherein the tracking system records motion of one or more players or one or more objects associated with the sporting event;
determining, by the processor of the computing system, a set of players involved in the scoring attempt event, the set of players comprising a defensive player defending the scoring attempt event and an offensive player initiating the scoring attempt event;
identifying, by the processor of the computing system, personalized embeddings corresponding to the defensive player;
extracting, by the processor of the computing system, one or more features related to the scoring attempt event, the one or more features comprising a first set of location coordinates corresponding to an origination location of the offensive player initiating the scoring attempt event, second set of location coordinates corresponding to an initial position of the defensive player when the offensive player initiated the scoring attempt event, and body pose information of the offensive player;
predicting, by the processor of the computing system, a likely outcome of the scoring attempt event based on the personalized embeddings of the defensive player and the one or more features related to the scoring attempt event; and
outputting, by the processor of the computing system, a graphical representation of the likely outcome of the scoring attempt for visual depiction via a display.

9. The non-transitory computer readable medium of claim 8 , wherein extracting, by the computing system, the one or more features related to the scoring attempt event comprises:
identifying one or more geometric features corresponding to the scoring attempt event based on the one or more features, the one or more geometric features comprising one or more of an angle between the offensive player and the defensive player, a first distance from the offensive player to a center of a goal, or a second distance from the defensive player to the center of the goal.

10. The non-transitory computer readable medium of claim 8 , wherein extracting, by the computing system, the one or more features related to the scoring attempt event comprises:
identifying the body pose information of the offensive player initiating the scoring attempt event based on the one or more features, wherein the body pose information includes offensive player start position, angle, run type, or shot initiation.

11. The non-transitory computer readable medium of claim 8 , further comprising:
identifying, by the computing system, a second defensive player; and
predicting, by the computing system, a second likely outcome of the scoring attempt event by replacing the defensive player with the second defensive player.

12. The non-transitory computer readable medium of claim 11 , further comprising:
generating, by the computing system, a graphical representation comparing the likely outcome of the scoring attempt event with the defensive player to the second likely outcome of the scoring attempt event with the second defensive player.

13. The non-transitory computer readable medium of claim 8 , further comprising:
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Assignees

• Stats Llc

Inventors

• Power Paul David
• Cherukumudi Aditya
• Ganguly Sujoy
• Wei Xinyu
• Sha Long
• Hobbs Jennifer
• Ruiz Hector
• Lucey Patrick Joseph

Classifications

• G06N3/09

  Supervised learning · CPC title

• G06N3/0499

  Feedforward networks · CPC title

• G06N20/00

  Machine learning · CPC title

• A63B24/0062

  Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance · CPC title

• A63B24/0021

  Tracking a path or terminating locations · CPC title