The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 09, 2024
Filed:
Apr. 29, 2022
Google Llc, Mountain View, CA (US);
Jung Ook Hong, Sunnyvale, CA (US);
Patrick M. Amihood, Palo Alto, CA (US);
John David Jacobs, San Diego, CA (US);
Abel Seleshi Mengistu, Mountain View, CA (US);
Leonardo Giusti, San Francisco, CA (US);
Vignesh Sachidanandam, Redwood City, CA (US);
Devon James O'Reilley Stern, Oakland, CA (US);
Ivan Poupyrev, Los Altos, CA (US);
Brandon Barbello, Mountain View, CA (US);
Tyler Reed Kugler, Palo Alto, CA (US);
Johan Prag, Mountain View, CA (US);
Artur Tsurkan, San Francisco, CA (US);
Alok Chandel, Mountain View, CA (US);
Lucas Dupin Moreira Costa, Mountain View, CA (US);
Selim Flavio Cinek, Los Angeles, CA (US);
Abstract
Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.