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:
Feb. 25, 2020

Filed:

Aug. 03, 2017
Applicant:

Facebook Technologies, Llc, Menlo Park, CA (US);

Inventors:

Elliot Saba, Redmond, WA (US);

Robert Y. Wang, Kirkland, WA (US);

Christopher David Twigg, San Francisco, CA (US);

Ravish Mehra, Redmond, WA (US);

Assignee:

Facebook Technologies, LLC, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G02B 27/01 (2006.01); G01N 29/12 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G01N 29/12 (2013.01); G02B 27/0149 (2013.01); G06N 20/00 (2019.01); G02B 2027/0138 (2013.01);
Abstract

A head-mounted display (HMD) tracks a user's hand positions, orientations, and gestures using an ultrasound sensor coupled to the HMD. The ultrasound sensor emits ultrasound signals that reflect off the hands of the user, even if a hand of the user is obstructed by the other hand. The ultrasound sensor identifies features used to train a machine learning model based on detecting reflected ultrasound signals. For example, one of the features is the time delay between consecutive reflected ultrasound signals detected by the ultrasound sensor. The machine learning model learns to determine poses and gestures of the user's hands. The HMD optionally includes a camera that generates image data of the user's hands. The image data can also be used to train the machine learning model. The HMD may perform a calibration process to avoid detecting other objects and surfaces such as a wall next to the user.


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