IP Library Granted Patent US 12,257,508
Granted Patent B2
US 12,257,508 · App. 18/527,995 · Granted Mar 25, 2025

Mixed reality competitions involving real and virtual participants

Inventors: Christian B. Tureaud (Sherman Oaks, CA); James M. Fazio (West Palm Beach, FL)
Assignee: The Generational Project, LLC
A63F13/65A63F13/812G06T13/40G06T19/006
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Quick Facts
Patent No.
US 12,257,508
App. No.
18/527,995
Granted
Mar 25, 2025
Kind
B2
Abstract

A method and system to identify first data associated with a participant, where the first data includes at least one of a height, a weight, or performance data of the participant. A selection of a competitor from a set of competitors is received. Based on historical performance data associated with one or more competitions involving the competitor, second data associated with a computer-generated representation of the competitor is generated. Based on the first data and the second data, a simulation of a competition involving the participant and the computer-generated representation of the competitor is generated. An indication of a winner of the simulation of the competition is generated.

Claims (37)

1. A method comprising:

identifying, by a processing device, first data associated with a participant, wherein the first data comprises at least one of a height, a weight, or performance data of the participant;

receiving a selection of a competitor from a set of competitors;

generating, based on historical performance data associated with one or more competitions involving the competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the participant and the computer-generated visual representation of the competitor engaged in a competition; and

generating an indication of a winner of the simulation of the competition.

2. The method of claim 1 , further comprising providing, to a third-party system, the indication of the winner of the simulation of the competition.

3. The method of claim 1 , further comprising receiving, from one or more sensor devices, activity data associated with the participant.

4. The method of claim 3 , wherein the simulation is generated at least in part on the activity data associated with the participant.

5. The method of claim 1 , further comprising executing a model to predict one or more actions of the competitor.

6. The method of claim 1 , further comprising publishing the indication of the winner of the simulation to one or more computing devices.

7. The method of claim 1 , further comprising processing video content comprising the participant, wherein the simulation of the competition is based at least in part on the video content comprising the participant.

8. A system comprising:

a memory comprising instructions; and

a processing device coupled to the memory, the processing device to execute the instructions to perform operations comprising:

identifying first data associated with a participant, wherein the first data comprises at least one of a height, a weight, or performance data of the participant;

receiving a selection of a competitor from a set of competitors;

generating, based on historical performance data associated with one or more competitions involving the competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the participant and the computer-generated visual representation of the competitor engaged in a competition; and

generating an indication of a winner of the simulation of the competition.

9. The system of claim 8 , the operations further comprising providing, to a third-party system, the indication of the winner of the simulation of the competition.

10. The system of claim 8 , the operations further comprising receiving, from one or more sensor devices, activity data associated with the participant.

11. The system of claim 10 , wherein the simulation is generated at least in part on the activity data associated with the participant.

12. The system of claim 8 , the operations further comprising executing a model to predict one or more actions of the competitor.

13. The system of claim 8 , the operations further comprising publishing the indication of the winner of the simulation to one or more computing devices.

14. The system of claim 8 , the operations further comprising processing video content comprising the participant, wherein the simulation of the competition is based at least in part on the video content comprising the participant.

15. A non-transitory machine-readable storage medium storing instructions which, when executed, cause a processing device to perform operations comprising:

identifying first data associated with a participant, wherein the first data comprises at least one of a height, a weight, or performance data of the participant;

receiving a selection of a competitor from a set of competitors;

generating, based on historical performance data associated with one or more competitions involving the competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the participant of a competition involving the participant and the computer-generated visual representation of the competitor engaged in a competition; and

generating an indication of a winner of the simulation of the competition.

16. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising providing, to a third-party system, the indication of the winner of the simulation of the competition.

17. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising receiving, from one or more sensor devices, activity data associated with the participant.

18. The non-transitory machine-readable storage medium of claim 17 , wherein the simulation is generated at least in part on the activity data associated with the participant.

19. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising executing a model to predict one or more actions of the competitor.

20. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising processing video content comprising the participant, wherein the simulation of the competition is based at least in part on the video content comprising the participant.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 5, 2023
From: TUREAUD, CHRISTIAN B.; FAZIO, JAMES M.
To: THE GENERATIONAL PROJECT, LLC
Reel/Frame 065787/0913 →
Continuity (4)
Continuation 17941494 · Sep 9, 2022
Continuation 17136916 · Dec 29, 2020
Provisional Application 63011044 · Apr 16, 2020
Related Publication 20240100438A1 · Mar 28, 2024
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