公开(公告)号：US20230065288A1

公开(公告)日：2023-03-02

申请号：US17865194

申请日：2022-07-14

Applicant: Apple Inc.

Inventor： Gopal Valsan ,  Thilaka S. Sumanaweera ,  Liliana I. Keats ,  David J. Feathers ,  Pavan Kumar Anasosalu Vasu

IPC: A61B5/00 ,  G06T7/00 ,  G06T7/521 ,  G16H30/40

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.

公开(公告)号：US12257028B2

公开(公告)日：2025-03-25

申请号：US17865194

申请日：2022-07-14

Applicant: Apple Inc.

Inventor： Gopal Valsan ,  Thilaka S Sumanaweera ,  Liliana I Keats ,  David J Feathers ,  Pavan Kumar Anasosalu Vasu

IPC: A61B5/00 ,  A61B90/50 ,  G06T7/00 ,  G06T7/521 ,  G16H30/40

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.

公开(公告)号：US20240268713A1

公开(公告)日：2024-08-15

申请号：US18422923

申请日：2024-01-25

Applicant: Apple Inc.

Inventor： Thilaka S. Sumanaweera ,  Anirban Chatterjee ,  Gopal Valsan

IPC: A61B5/113 ,  A61B5/00 ,  A61B5/08 ,  A61B5/107 ,  A61B5/11

CPC classification number: A61B5/1135 ,  A61B5/0816 ,  A61B5/1079 ,  A61B5/1128 ,  A61B5/7405 ,  A61B5/742

Abstract: Embodiments include a system for analyzing breathing parameters of a user. The system can include an optical sensing unit configured to detect movement of a torso of the user and output one or more signals indicative of the movement of the torso. The system can also include an electronic device configured to request for the user to breathe according to a breathing profile during a time period. The system can include a processing unit configured to receive the one or more signals generated by the optical sensing unit during the time period and determine an adherence metric using the one or more signals and the breathing profile, where the adherence metric indicating a correspondence between movement of the torso and the breathing profile requested during the time period.

公开(公告)号：US20230263424A1

公开(公告)日：2023-08-24

申请号：US18108326

申请日：2023-02-10

Applicant: Apple Inc.

Inventor： Anirban Chatterjee ,  Gopal Valsan ,  Thilaka S. Sumanaweera

IPC: A61B5/08 ,  A61B5/113 ,  A61B5/11 ,  A61B5/00

CPC classification number: A61B5/0816 ,  A61B5/1135 ,  A61B5/1126 ,  A61B5/742 ,  A61B5/741

Abstract: Embodiments include a system for measuring respiratory function of a user. The system can include an optical sensing unit configured to detect movement of a torso of the user. The system can include an electronic device configured to provide a first request for the user to breathe at a first rate during a first time period and a second request for the user to breathe at a second rate during a second time period. The system can include a processing unit configured to determine a first respiration parameter based on the movement of the torso during the first time period and determine a second respiration parameter based on the movement of the torso during the second time period. The processing unit can determine a level of respiratory function based on the first respiration parameter and the second respiration parameter.