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. 25, 2025

Filed:

Jul. 14, 2022
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Gopal Valsan, Gilroy, CA (US);

Thilaka S Sumanaweera, San Jose, CA (US);

Liliana I Keats, Cupertino, CA (US);

David J Feathers, Williamsville, NY (US);

Pavan Kumar Anasosalu Vasu, Sunnyvale, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 90/50 (2016.01); G06T 7/00 (2017.01); G06T 7/521 (2017.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
A61B 5/0077 (2013.01); A61B 5/0075 (2013.01); A61B 5/4872 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); G06T 7/0012 (2013.01); G06T 7/521 (2017.01); G16H 30/40 (2018.01); A61B 2090/502 (2016.02); A61B 2576/02 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

An electronic device may include body composition analysis circuitry that estimates body composition based on captured images of a face, neck, and/or body (e.g., depth map images captured by a depth sensor, visible light and infrared images captured by image sensors, and/or other suitable images). The body composition analysis circuitry may analyze the image data and may extract portions of the image data that strongly correlate with body composition, such as portions of the cheeks, neck, waist, etc. The body composition analysis circuitry may encode the image data into a latent space. The latent space may be based on a deep learning model that accounts for facial expression and neck pose in face/neck images and that accounts for breathing and body pose in body images. The body composition analysis circuitry may output an estimated body composition based on the image data and based on user demographic information.


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