A machine learning approach relating 3D body scans to body composition in humans.

ABSTRACT: A long-standing question in nutrition and obesity research involves quantifying the relationship between body fat and anthropometry. To date, the mathematical formulation of these relationships has relied on pairing easily obtained anthropometric measurements such as the body mass index (BMI), waist circumference, or hip circumference to body fat. Recent advances in 3D body shape imaging technology provides a new opportunity for quickly and accurately obtaining hundreds of anthropometric measurements within seconds, however, there does not yet exist a large diverse database that pairs these measurements to body fat. Herein, we leverage 3D scanned anthropometry obtained from a population of United States Army basic training recruits to derive four subpopulations of homogenous body shape arc

SUBMITTER: Pleuss JD 

PROVIDER: S-EPMC8108117 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature