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:
Jul. 18, 2023

Filed:

Jul. 23, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Keith P. Avery, Seattle, WA (US);

Jamil Dhanani, San Francisco, CA (US);

Harveen Kaur, Santa Clara, CA (US);

Varun Maudgalya, Sunnyvale, CA (US);

Timothy S. Paek, Mercer Island, WA (US);

Dmytro Rudchenko, Bellevue, WA (US);

Brandt M. Westing, Seattle, WA (US);

Minwoo Jeong, Sammamish, WA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0488 (2022.01); G06F 3/01 (2006.01); G06F 3/0481 (2022.01); G06N 20/00 (2019.01); G06F 3/04883 (2022.01); H04R 3/04 (2006.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/011 (2013.01); G06F 3/017 (2013.01); G06F 3/04883 (2013.01); H04R 3/04 (2013.01); G06N 3/08 (2013.01); H04R 2430/01 (2013.01);
Abstract

The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides 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 touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.


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