公开(公告)号：US20240148321A1

公开(公告)日：2024-05-09

申请号：US18548911

申请日：2022-03-24

Applicant: Bodygram, Inc.

Inventor： Subas Chhatkuli ,  Kyohei Kamiyama ,  Chong Jin Koh

IPC: A61B5/00 ,  A61B5/107 ,  G06V10/82 ,  G06V40/16 ,  G16H10/60

CPC classification number: A61B5/4869 ,  A61B5/1072 ,  A61B5/1079 ,  G06V10/82 ,  G06V40/168 ,  G16H10/60 ,  G06V2201/03

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.

公开(公告)号：US12138073B2

公开(公告)日：2024-11-12

申请号：US18548911

申请日：2022-03-24

Applicant: Bodygram, Inc.

Inventor： Subas Chhatkuli ,  Kyohei Kamiyama ,  Chong Jin Koh

IPC: A61B5/00 ,  A61B5/107 ,  G06V10/82 ,  G06V40/16 ,  G16H10/60

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.

公开(公告)号：US20250064395A1

公开(公告)日：2025-02-27

申请号：US18941419

申请日：2024-11-08

Applicant: Bodygram, Inc.

Inventor： Subas Chhatkuli ,  Kyohei Kamiyama ,  Chong Jin Koh

IPC: A61B5/00 ,  A61B5/107 ,  G06V10/82 ,  G06V40/16 ,  G16H10/60

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.