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. 25, 2022

Filed:

Jun. 29, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

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

Jaime Lien, Mountain View, CA (US);

Patrick M. Amihood, Palo Alto, CA (US);

Ivan Poupyrev, Los Altos, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G01S 7/41 (2006.01); G01S 13/56 (2006.01); G01S 13/86 (2006.01); H04Q 9/00 (2006.01); G06K 9/62 (2022.01); G01S 13/88 (2006.01); G06F 21/32 (2013.01); G06F 3/04815 (2022.01); G01S 7/40 (2006.01); H04W 4/80 (2018.01); G06N 20/00 (2019.01); H04W 16/28 (2009.01); G01S 13/90 (2006.01); G06V 20/64 (2022.01); G06V 40/20 (2022.01); G06F 16/245 (2019.01); G06F 21/62 (2013.01); A63F 13/21 (2014.01); A63F 13/24 (2014.01); G01S 13/66 (2006.01); G08C 17/02 (2006.01); G06T 7/73 (2017.01); G01S 13/931 (2020.01); G06F 1/16 (2006.01); G06F 3/0484 (2022.01); G01S 19/42 (2010.01); G06F 3/0346 (2013.01); G06F 3/16 (2006.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); A63F 13/21 (2014.09); A63F 13/24 (2014.09); G01S 7/4004 (2013.01); G01S 7/41 (2013.01); G01S 7/412 (2013.01); G01S 7/415 (2013.01); G01S 13/56 (2013.01); G01S 13/66 (2013.01); G01S 13/86 (2013.01); G01S 13/867 (2013.01); G01S 13/88 (2013.01); G01S 13/888 (2013.01); G01S 13/90 (2013.01); G01S 13/904 (2019.05); G06F 3/011 (2013.01); G06F 3/04815 (2013.01); G06F 16/245 (2019.01); G06F 21/32 (2013.01); G06F 21/6245 (2013.01); G06K 9/629 (2013.01); G06K 9/6254 (2013.01); G06K 9/6255 (2013.01); G06K 9/6262 (2013.01); G06K 9/6288 (2013.01); G06N 20/00 (2019.01); G06V 20/64 (2022.01); G06V 40/28 (2022.01); H04Q 9/00 (2013.01); H04W 4/80 (2018.02); H04W 16/28 (2013.01); A63F 2300/8082 (2013.01); G01S 13/865 (2013.01); G01S 13/931 (2013.01); G01S 19/42 (2013.01); G01S 2013/9322 (2020.01); G06F 1/163 (2013.01); G06F 3/0346 (2013.01); G06F 3/0484 (2013.01); G06F 3/165 (2013.01); G06F 2203/0384 (2013.01); G06F 2221/2105 (2013.01); G06T 7/75 (2017.01); G08C 17/02 (2013.01); G08C 2201/93 (2013.01); H04Q 2209/883 (2013.01);
Abstract

Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.


Find Patent Forward Citations

Loading…