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:
Dec. 03, 2024

Filed:

Oct. 20, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Michal Matuszak, Sunnyvale, CA (US);

Abel Seleshi Mengistu, Mountain View, CA (US);

Nicholas Edward Gillian, Palo Alto, CA (US);

Abhijit Aroon Shah, Foster City, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G01S 13/06 (2006.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G01S 13/06 (2013.01); G06F 3/011 (2013.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 40/28 (2022.01);
Abstract

Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing gesture recognition using a space time neural network. The space time neural network employs machine learning to recognize a user's gesture based on complex radar data. The space time neural network is implemented using a multi-stage machine-learning architecture, which enables the radar system to conserve power and recognize the user's gesture in real time (e.g., as the gesture is performed). The space time neural network is also adaptable and can be expanded to recognize multiple types of gestures, such as a swipe gesture and a reach gesture, without significantly increasing size, computational requirements, or latency.


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