首页|'Head-Mounted Device With Tension Adjustment' in Patent Application Approval Process (USPTO 20240045220)

'Head-Mounted Device With Tension Adjustment' in Patent Application Approval Process (USPTO 20240045220)

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A patent application by the inventors Kalinowski, David A. (San Francisco, CA, US); Lee, Jae Hwang (Los Gatos, CA, US); Mulliken, Grant H. (Sunnyvale, CA, US); Neale, Brandon R. (Fremont, CA, US); Schmuck, David A. (Mountain View, CA, US); Vergo, Eric N. (San Jose, CA, US), filed on October 17, 2023, was made available online on February 8, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background information supplied by the inventors: "Head-mounted devices that display computer-generated reality content include display devices and optics that guide light from the display devices to a user's eyes. A support structure holds the device in place with respect to the user's head." In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors' summary information for this patent application: "One aspect of the disclosure is a head-mounted device. The head-mounted device includes a device housing, a support structure that is connected to the device housing to support the device housing with respect to a user, a display device that is connected to the device housing to display content, an optical system that is associated with the display device, and sensors that generate sensor output signals. The head-mounted device also includes a tension controller that determines a tensioning command based on the sensor output signals, and a tension adjuster that applies tension to the user according to the tensioning command in order to restrain motion of the device housing with respect to the user.

CyborgsEmerging TechnologiesMachine LearningPatent Application

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.28)