The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 09, 2024

Filed:

Nov. 02, 2021
Applicant:

Take-two Interactive Software, Inc., New York, NY (US);

Inventors:

James Stuart Miller, New York, NY (US);

Gustavo Eggert Boehs, Oakville, CA;

Cory John Alderman, New York, NY (US);

Adam De Oliveira, Westbury, NY (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63F 13/212 (2014.01); A63F 13/52 (2014.01); G06F 3/01 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/60 (2017.01); G06T 7/70 (2017.01); G06T 13/40 (2011.01); G06T 15/00 (2011.01); G06V 10/94 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
A63F 13/212 (2014.09); A63F 13/52 (2014.09); G06F 3/014 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06T 13/40 (2013.01); G06T 15/00 (2013.01); G06V 10/95 (2022.01); G06V 40/107 (2022.01); A63F 2300/1012 (2013.01); A63F 2300/66 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30204 (2013.01);
Abstract

A system and method for motion capture to efficiently render in-game objects, including characters, and controlling animation of characters and non-player characters. In some embodiments, the motion capture includes a machine learning model that can take as inputs information about the hand pose of a person from multiple sensors over a period of time and generates a highly probable hand pose prediction from that information, based on what it learns from a previously captured dataset of high quality sample motion captures. The systems and methods described herein overcome the imprecision conventional optical marker pipelines for the case of finger movement, where the slightest imprecision yields results that are not good enough for production.


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