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. 02, 2021

Filed:

Aug. 30, 2019
Applicant:

Facebook Technologies, Menlo Park, CA (US);

Inventors:

Adam Berenzweig, Brooklyn, NY (US);

Thomas Reardon, New York, NY (US);

Christopher Osborn, Brooklyn, NY (US);

Patrick Kaifosh, New York, NY (US);

Brett Jurman, New York, NY (US);

Daniel Wetmore, Brooklyn, NY (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/0488 (2006.01); G06F 3/01 (2006.01); A61B 5/00 (2006.01); A61B 90/00 (2016.01); A61B 5/04 (2006.01); G06T 7/70 (2017.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 5/04 (2006.01); G06T 19/00 (2011.01); A61B 5/11 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0488 (2013.01); A61B 5/04001 (2013.01); A61B 5/04004 (2013.01); A61B 5/04012 (2013.01); A61B 5/6824 (2013.01); A61B 90/361 (2016.02); G06F 3/011 (2013.01); G06F 3/015 (2013.01); G06K 9/00355 (2013.01); G06K 9/6215 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); A61B 5/1107 (2013.01); A61B 5/681 (2013.01); A61B 5/7267 (2013.01); A61B 2562/0219 (2013.01); G06F 3/016 (2013.01); G06F 3/017 (2013.01); G06T 19/006 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are described for providing dynamically-updated musculoskeletal information. One such system includes a processor is programmed to: provide, as an input to a trained inference model, information based on a plurality of neuromuscular signals from a user and information based on at least one image of the user; determine, based on an output of the trained inference model, position information describing a spatial relationship between two or more connected musculoskeletal segments of the user and/or force information describing a force exerted by at least one musculoskeletal segment of the user; and output the position information and/or the force information.


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