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:
Nov. 24, 2020

Filed:

Aug. 30, 2019
Applicant:

Facebook Technologies, Llc, 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 provided for training an inference model used to generate a musculoskeletal representation. One such system includes a processor programmed to: determine, based on information obtained from at least one image, position information describing a spatial relationship between two or more connected musculoskeletal segments of a user; determine, based on a plurality of neuromuscular signals, force information; associate the position information with the force information; train an inference model to output a musculoskeletal representation consistent with the position information and/or the force information when neuromuscular input signals provided to the inference model have at least one predetermined characteristic, to produce an updated inference model; and cause the updated inference model to be stored in a memory.


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