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. 12, 2024

Filed:

Mar. 24, 2022
Applicant:

Bodygram, Inc., New York, NY (US);

Inventors:

Subas Chhatkuli, Tokyo, JP;

Kyohei Kamiyama, Tokyo, JP;

Chong Jin Koh, Las Vegas, NV (US);

Assignee:

Bodygram, Inc., Dover, DE (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/107 (2006.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
A61B 5/4869 (2013.01); A61B 5/1072 (2013.01); A61B 5/1079 (2013.01); G06V 10/82 (2022.01); G06V 40/168 (2022.01); G16H 10/60 (2018.01); G06V 2201/03 (2022.01);
Abstract

Systems and methods for generating a prediction of a body composition of a user using an image capturing device are disclosed. The systems and methods can be used to predict body compositions such as body fat percentage, water content percentage, muscle mass, bone mass, and so on, from a single user image. The methods include the steps of receiving one or more user images and one or more user parameters, generating one or more key points based on the one or more user images, and generating a prediction of the body composition of the user based on the one or more key points and the one or more user parameters, using a body composition deep learning network (DLN). In one embodiment, the body composition DLN comprises a face image DLN, a body feature DLN, and an output DLN.


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