User-customized flat computer simulation controller

Patent metadata

Field	Value
Publication number	US-12533580-B2
Application number	US-202218060550-A
Country	US
Kind code	B2
Filing date	Nov 30, 2022
Priority date	Nov 30, 2022
Publication date	Jan 27, 2026
Grant date	Jan 27, 2026

Abstract

A parallelepiped-shaped body has a flat top surface on which a user draws computer simulation controller buttons with a layout and spacing best fitting the user's physical needs. The user connects wires in the body to random GPIOs and maps the drawn buttons to desired game controller functions using an off-the-shelf controller connected to an MCU by pressing drawn buttons on the body along with corresponding buttons on the off-the-shelf controller, establishing which drawn button has which game controller function.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
providing a prompt for a player to interact with a controller for a video game system, wherein the prompt instructs the player to press and hold a button; receiving data representing interactions of the player with the controller in response to the prompt, wherein the interactions of the player with the controller include the player pressing and holding the button; determining, using the received data, a characterization of a dexterity of the player, the characterization of the dexterity of the player including a presence or absence of a tremor, wherein presence of the tremor is determined based on receiving a series of rapid signals from the controller while the player is pressing and holding the button; providing a representation of the characterization of the dexterity of the player to a generative model that is trained to generate designs for custom controllers for players based on ground truth data that includes (i) different designs for custom controllers and (i) one or more respective labels for each different design that indicates one or more characterizations of dexterity; receiving a particular design for a custom controller from the generative model; and associating the particular design with the player.

2 . The method of claim 1 , wherein the ground truth data associates different button sizes with different characterizations of dexterity.

3 . The method of claim 1 , comprising training the generative model using the ground truth data.

4 . The method of claim 1 , wherein the ground truth data associates different button spacings with different characterizations of dexterity.

5 . The method of claim 1 , wherein the ground truth data associates different controller layouts with different characterizations of dexterity.

6 . A non-transitory computer-readable medium storing instructions which, when executed, cause a computer processor to perform operations comprising:
providing a prompt for a player to interact with a controller for a video game system, wherein the prompt instructs the player to press and hold a button; receiving data representing interactions of the player with the controller in response to the prompt, wherein the interactions of the player with the controller include the player pressing and holding the button; determining, using the received data, a characterization of a dexterity of the player, the characterization of the dexterity of the player including a presence or absence of a tremor, wherein presence of the tremor is determined based on receiving a series of rapid signals from the controller while the player is pressing and holding the button; providing a representation of the characterization of the dexterity of the player to a generative model that is trained to generate designs for custom controllers for players based on ground truth data that includes (i) different designs for custom controllers and (i) one or more respective labels for each different design that indicates one or more characterizations of dexterity; receiving a particular design for a custom controller from the generative model; and associating the particular design with the player.

7 . The medium of claim 6 , wherein the ground truth data associates different button sizes with different characterizations of dexterity.

8 . The medium of claim 6 , wherein the operations comprise training the generative model using the ground truth data.

9 . The medium of claim 6 , wherein the ground truth data associates different button spacings with different characterizations of dexterity.

10 . The medium of claim 6 , wherein the ground truth data associates different controller layouts with different characterizations of dexterity.

11 . A system comprising:
a computer processor; and a non-transitory computer-readable medium storing instructions which, when executed, cause a computer processor to perform operations comprising:
providing a prompt for a player to interact with a controller for a video game system, wherein the prompt instructs the player to press and hold a button;
receiving data representing interactions of the player with the controller in response to the prompt, wherein the interactions of the player with the controller include the player pressing and holding the button;
determining, using the received data, a characterization of a dexterity of the player, the characterization of the dexterity of the player including a presence or absence of a tremor, wherein presence of the tremor is determined based on receiving a series of rapid signals from the controller while the player is pressing and holding the button;
providing a representation of the characterization of the dexterity of the player to a generative model that is trained to generate designs for custom controllers for players based on ground truth data that includes (i) different designs for custom controllers and (i) one or more respective labels for each different design that indicates one or more characterizations of dexterity;
receiving a particular design for a custom controller from the generative model; and
associating the particular design with the player.

12 . The system of claim 11 , wherein the ground truth data associates different button sizes with different characterizations of dexterity.

13 . The system of claim 11 , wherein the operations comprise training the generative model using the ground truth data.

14 . The system of claim 11 , wherein the ground truth data associates different button spacings with different characterizations of dexterity.

Assignees

• Sony Interactive Entertainment Inc

Inventors

• Bean Celeste
• Fortuna Ellana
• Chen Yvette
• Luizello Alessandra
• Perrine Andrew
• Ambers Jeremy
• Osborne Elizabeth
• Barrera Marvin

Classifications

• A63F13/24

  Constructional details thereof, e.g. game controllers with detachable joystick handles · CPC title

• A63F13/22 Primary

  Setup operations, e.g. calibration, key configuration or button assignment · CPC title

• A63F13/42 Primary

  by mapping the input signals into game commands, e.g. mapping the displacement of a stylus on a touch screen to the steering angle of a virtual vehicle · CPC title