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:
Sep. 20, 2022

Filed:

Jul. 23, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Charles Maalouf, Seattle, WA (US);

Shawn R. Scully, Seattle, WA (US);

Christopher B. Fleizach, Gilroy, CA (US);

Tu K. Nguyen, San Jose, CA (US);

Lilian H. Liang, Kenmore, WA (US);

Warren J. Seto, Sunnyvale, CA (US);

Julian Quintana, San Jose, CA (US);

Michael J. Beyhs, San Francisco, CA (US);

Hojjat Seyed Mousavi, Santa Clara, CA (US);

Behrooz Shahsavari, Hayward, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06F 3/04883 (2022.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/015 (2013.01); G06F 3/017 (2013.01); G06F 3/04883 (2013.01); G06K 9/6259 (2013.01); G06N 3/08 (2013.01);
Abstract

A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.


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