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:
Mar. 11, 2025

Filed:

May. 24, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Eran Chencinski, Giv'at Shmuel, IL;

Shoham Dekel, Nes Ziona, IL;

Shmuel Kaufman-Fridman, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06F 3/0346 (2013.01); G06F 3/044 (2006.01); G06F 3/16 (2006.01); H04R 1/10 (2006.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G06F 3/012 (2013.01); G06F 3/016 (2013.01); G06F 3/0346 (2013.01); G06F 3/044 (2013.01); G06F 3/165 (2013.01); H04R 1/1041 (2013.01);
Abstract

A head-wearable audio device has a motion sensor that outputs motion parameter values based on a detected motion gesture. A gesture type is recognized by comparing the motion parameter values and per-user per-gesture-type recognition parameter values. An action is selected based on the selected gesture type and is executed by the head-wearable audio device or an application in a remote computing device. The head-wearable audio device may also include a capacitive touch sensor that detects capacitive touch events and outputs capacitive touch parameter values. A gesture type may be recognized by comparing both of detected motion parameter values and detected capacitive touch parameter values with per-user per-gesture-type recognition parameter values. The per-user per-gesture-type recognition parameter values are improved over time using machine learning and/or automated logic based on historical detected motion or capacitive touch parameters and corresponding selected gestures, or user profile data.


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