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.

Date of Patent:
Oct. 11, 2022

Filed:

Sep. 27, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Vignesh Sachidanandam, Redwood City, CA (US);

Ivan Poupyrev, Los Altos, CA (US);

Leonardo Giusti, San Francisco, CA (US);

Devon James O'Reilley Stern, Oakland, 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);

Brandon Barbello, Mountain View, CA (US);

Tyler Reed Kugler, Palo Alto, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G01S 13/06 (2006.01); G01S 7/41 (2006.01); H04M 1/72454 (2021.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G01S 7/415 (2013.01); G01S 13/06 (2013.01); G06F 3/011 (2013.01); H04M 1/72454 (2021.01);
Abstract

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor () and/or a movement sensor () produces a context of a user equipment (). The techniques and systems enable the user equipment () to recognize contexts when a radar system () can be unreliable and should not be used for gesture-recognition, enabling the user equipment () to automatically disable or 'gate' the output from the radar system () according to context. The user equipment () prevents the radar system () from transitioning to a high-power state () to perform gesture-recognition in contexts where radar data detected by the radar system () is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.


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