IP Library Granted Patent US 12,569,752
Granted Patent B2
US 12,569,752 · App. 18/296,091 · Granted Mar 10, 2026

Gesture translation with modification based on game context

Inventors: Celeste Bean (San Francisco, CA); Glenn Black (San Mateo, CA); Victoria Dorn (Hayward, CA)
Assignee: Sony Interactive Entertainment Inc.
A63F13/212A63F13/245A63F13/67A63F13/87
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Quick Facts
Patent No.
US 12,569,752
App. No.
18/296,091
Granted
Mar 10, 2026
Kind
B2
Abstract

A method is provided for facilitating communication between players in a video game, including the following operations: receiving video of a first player during gameplay of the video game; analyzing the video to identify gestures made by the first player; responsive to identifying the gestures, then translating the gestures into a text communication, wherein translating the gestures uses a context of the video game to determine content of the text communication; presenting the text communication through an in-game chat of the video game, for viewing by a second player during the gameplay of the video game.

Claims (41)

1 . A computer-implemented method comprising:

receiving video of a first player during gameplay of a video game;

analyzing the video to identify one or more gestures made by the first player during the gameplay of the video game;

generating a base textual transcription of the one or more gestures made by the first player during the gameplay of the video game;

determining a current game state of the video game, wherein determining the current game state comprises analyzing in-game chat text using a natural language processor;

selecting a communication modification template that is associated with the current game state of the video game;

generating a modified textual transcription of the one or more gestures made by the first player during the gameplay of the video game using the selected communication modification template that is associated with the current game state; and

providing the modified textual transcription to an in-game chat logic of the video game.

2 . The method of claim 1 , wherein the base textual transcription is generated by one or more machine learning models that are trained using a dataset of known gestures and corresponding text transcriptions.

3 . The method of claim 1 , wherein determining the current game state comprises determining that the current game state reflects a tense in-game situation.

4 . The method of claim 1 , wherein determining the current game state comprises determining that the current game state reflects an in-game combat situation.

5 . The method of claim 1 , wherein determining the current game state comprises determining that the current game state reflects a relaxing in-game situation.

6 . The method of claim 1 , wherein determining the current game state comprises determining current game scores for different players.

7 . The method of claim 1 , wherein determining the current game state comprises determining whether the current game state reflects adversarial or cooperative in-game states.

8 . The method of claim 1 , wherein the communication modification template is selected from among multiple candidate communication modification templates that a developer of the video game has customized for different game states of the video game.

9 . The method of claim 1 , wherein the communication modification template is selected from among multiple candidate communication modification templates for different game states that have been customized by the first player.

10 . The method of claim 1 , wherein the communication modification template is implemented as part of a software development kit (SDK) of a game engine platform associated with the video game.

11 . The method of claim 1 , wherein the communication modification template specifies different modifications that are associated with different current game states.

12 . The method of claim 1 , wherein the current game state comprises a characteristic of the video game that varies based on game intensity throughout the gameplay.

13 . One or more non-transitory computer-readable medium that store instructions which, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:

receiving video of a first player during gameplay of a video game;

analyzing the video to identify one or more gestures made by the first player during the gameplay of the video game;

generating a base textual transcription of the one or more gestures made by the first player during the gameplay of the video game;

determining a current game state of the video game, wherein determining the current game state comprises analyzing in-game chat text using a natural language processor;

selecting a communication modification template that is associated with the current game state of the video game;

generating a modified textual transcription of the one or more gestures made by the first player during the gameplay of the video game using the selected communication modification template that is associated with the current game state; and

providing the modified textual transcription to an in-game chat logic of the video game.

14 . The medium of claim 13 , wherein the base textual transcription is generated by one or more machine learning models that are trained using a dataset of known gestures and corresponding text transcriptions.

15 . The medium of claim 13 , wherein determining the current game state comprises determining that the current game state reflects a tense in-game situation.

16 . The medium of claim 13 , wherein determining the current game state comprises determining that the current game state reflects an in-game combat situation.

17 . The medium of claim 13 , wherein determining the current game state comprises determining that the current game state reflects a relaxing in-game situation.

18 . A system comprising:

one or more computer processors; and

one or more non-transitory computer-readable medium that store instructions which, when executed by the one or more computer processors, cause the one or more computer processors to perform operations comprising:

receiving video of a first player during gameplay of a video game;

analyzing the video to identify one or more gestures made by the first player during the gameplay of the video game;

generating a base textual transcription of the one or more gestures made by the first player during the gameplay of the video game;

determining a current game state of the video game, wherein determining the current game state comprises analyzing in-game chat text using a natural language processor;

selecting a communication modification template that is associated with the current game state of the video game;

generating a modified textual transcription of the one or more gestures made by the first player during the gameplay of the video game using the selected communication modification template that is associated with the current game state; and

providing the modified textual transcription to an in-game chat logic of the video game.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2023
From: BEAN, CELESTE; BLACK, GLENN; DORN, VICTORIA
To: SONY INTERACTIVE ENTERTAINMENT INC.
Reel/Frame 063235/0718 →
Continuity (1)
Related Publication 20240335737A1 · Oct 10, 2024
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