Nvidia Corporation

Ben Goska

Ryan Kelsey Albright

Jordan Levy

Kiril Stoynov

Manoj Khanal

Marc E Davis

Mike Gemelke

Siddardha Naraharisetti

Ankita Garg

While one type of input, either a mouse input or a joystick input, may be preferred for one type of a game, it may not be preferred, or even compatible, for another type of a game. Introduced herein is a game controller that employs a dedicated input, which is capable of the absolute accuracy of a mouse input or trackball input, but is also capable of measuring how far off center the input is (e.g., how far off center it has moved), and can also return to center when released, as is present in a joystick input. The introduced game controller integrates a touch sensing trackball to enjoy the benefits of both the mouse type input and joystick type input, in a single dedicated input, providing a user freedom to play any type of game without worrying about the compatibility of their game controllers.

Using touch sensing to make a trackball behave like a joystick

Haptic effects have long been provided to enhance content, such as by providing vibrations, rumbles, etc. in a remote controller or other device being used by a user while watching or listening to the content. To date, haptic effects have either been provided by programming controls for the haptic effects within the content itself, or by providing an interface to audio that simply maps certain haptic effects with certain audio frequencies. The present disclosure provides a haptic control interface that intelligently induces haptic effects for content, in particular by using machine learning to detect specific features in content and then induce certain haptic effects for those features.

Haptic control interface for detecting content features using machine learning to induce haptic effects

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Santa Clara, CA, United States of America

Ben Goska