SYSTEMS AND METHODS FOR ESTIMATING BODY COMPOSITION

• US 20130261470A1
• Filed: 12/09/2011
• Published: 10/03/2013
• Est. Priority Date: 12/09/2010
• Status: Abandoned Application

• Current Assignee: UAB Research Foundation (University of Alabama System)
• Original Assignee: UAB Research Foundation (University of Alabama System)
• Inventors: Allison, David, Thomas, Olivia, Zhang, Chengcui
• Application Number:
  US13/992,070
• Publication Number:
  US 20130261470A1
• Time in Patent Office: Days
• US Class Current: 600/476
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1073 Measuring volume, e.g. of limbs
• CPC Class Codes: A61B 5/1077 Measuring of profiles
• CPC Class Codes: A61B 5/1079 using optical or photographic means
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/4869 Determining body composition
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: G06T 17/00 Three dimensional [3D] modelling, e.g. data description of 3D objects
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

In one embodiment, a system and method for estimating body composition relate to constructing a three-dimensional model of a subject based upon captured images of the subject, estimating the body volume of the subject using the three-dimensional model, and estimating the body composition of the subject based in part upon the estimated volume.

Claims

1. A method for estimating body composition of a subject, the method comprising:

capturing images of the subject;

constructing a three-dimensional model of the subject based upon the images;

estimating the body volume of the subject using the three-dimensional model; and

estimating the body composition of the subject based in part upon the estimated volume.

2. The method of claim 1, wherein capturing images comprises capturing digital images of the subject.

3. The method of claim 1, wherein capturing images comprises capturing a profile image and at least one of a front image or a back image of the subject.

4. The method of claim 1, wherein estimating the body volume of the subject comprises dividing the three-dimensional model into discrete elliptical segments, calculating the volume of each elliptical segment, and summing the volumes of all elliptical segments to obtain a total volume.

5. The method of claim 1, wherein estimating the body volume of the subject comprises dividing the three-dimensional model into discrete segments whose shape is based upon the contours of an actual cross-dissection of a human body, calculating the volume of each segment, and summing the volumes of all segments to obtain a total volume.

6. The method of claim 1, wherein estimating body composition of the subject comprises estimating body density of the subject from the estimated body volume and the mass of the subject.

7. The method of claim 6, wherein estimating body composition of the subject further comprises calculating the subject'"'"'s body fat percentage using a relation that directly relates body fat percentage to body density.

8. The method of claim 1, wherein estimating body composition of the subject comprises estimating fat mass of the subject from the estimated body volume and the weight of the subject, and then calculating the subject'"'"'s body fat percentage using relation that directly relates body fat percentage to fat mass and total mass of the subject.

9. The method of claim 1, further comprising analyzing the images to identify visual cues indicative of the subject'"'"'s body composition.

10. The method of claim 9, further comprising adjusting the body composition estimate based upon the visual cues.

11. A system for estimating body composition of a subject, the system comprising:

a processor; and

memory that stores a body composition analysis system, the system being configured to receive images of a subject, to construct a three-dimensional model of the subject based upon the images, to estimate the body volume of the subject using the three-dimensional model, and to estimate the body composition of the subject based in part upon the estimated volume.

12. The system of claim 11, wherein the system is embodied by an image capture device that further comprises image capturing apparatus.

13. The system of claim 11, wherein the system is embodied by a computer.

14. The system of claim 11, wherein the body composition analysis system is configured to estimate the body volume of the subject by dividing the three-dimensional model into discrete elliptical segments, calculating the volume of each elliptical segment, and summing the volumes of all elliptical segments to obtain a total volume.

15. The system of claim 11, wherein the body composition analysis system is configured to estimate the body volume of the subject by dividing the three-dimensional model into discrete segments whose shape is based upon the contours of an actual cross-dissection of a human body, calculating the volume of each segment, and summing the volumes of all segments to obtain a total volume.

16. The system of claim 11, wherein the body composition analysis system is configured to estimate body composition of the subject by estimating body density of the subject from the estimated body volume and the mass of the subject.

17. The system of claim 16, wherein the body composition analysis system if further configured to estimate body composition of the subject by calculating the subject'"'"'s body fat percentage using a relation that directly relates body fat percentage to body density.

18. The system of claim 11, wherein the body composition analysis system is configured to estimate body composition of the subject by estimating fat mass of the subject from the estimated body volume and the weight of the subject, and then calculating the subject'"'"'s body fat percentage using relation that directly relates body fat percentage to fat mass and total mass of the subject.

20. The system of claim 11, wherein the body composition analysis system is further configured to analyze the images to identify visual cues indicative of the subject'"'"'s body composition.

21. The system of claim 20, wherein the body composition analysis system is further configured to adjust the body composition estimate based upon the visual cues.

22. An image capture device, comprising:

image capturing apparatus;

a processor; and

memory that stores a body composition analysis system, the system being configured to receive images of a subject, to construct a three-dimensional model of the subject based upon the images, to estimate the body volume of the subject using the three-dimensional model, and to estimate the body composition of the subject based upon the estimated volume.