公开(公告)号：US20220229650A1

公开(公告)日：2022-07-21

申请号：US17154654

申请日：2021-01-21

Applicant: Nvidia Corporation

Inventor： Ryan Albright ,  William Andrew Mecham ,  Michael Thompson ,  Aaron Richard Carkin ,  William Ryan Weese ,  Benjamin Goska

IPC: G06F8/65 ,  G06F1/26

Abstract: Devices and methods to update semiconductor components are disclosed. In at least one embodiment, a device updates semiconductor components independent of a semiconductor component operational state.

公开(公告)号：US11364434B2

公开(公告)日：2022-06-21

申请号：US16513040

申请日：2019-07-16

Applicant: Nvidia Corporation

Inventor： Ryan Albright ,  Ben Goska ,  Manoj Khanal ,  Kiril Stoynov ,  Jordan Levy

IPC: A63F13/24 ,  G06F3/0354 ,  G06F3/03 ,  G06F3/0338 ,  A63F13/214 ,  A63F13/22 ,  G06F3/02

Abstract: 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.

公开(公告)号：US20210090410A1

公开(公告)日：2021-03-25

申请号：US16581046

申请日：2019-09-24

Applicant: NVIDIA Corporation

Inventor： Ryan Albright ,  Mike Gemelke ,  Jordan Levy ,  Ben Goska ,  Marc Davis ,  Siddardha Naraharisetti ,  Ankita Garg

IPC: G08B6/00 ,  G06N3/08 ,  G06K9/62

Abstract: 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.