3D Body Scanning
Mobile Fit scans to predict body composition
Objective: The study investigates the reproducibility and validity of using smartphone-based digital anthropometry, specifically the Mobile Fit app, for predicting body composition in youth soccer players. The aim was to assess how well the app compares to the gold standard Dual-Energy X-ray Absorptiometry (DXA) in estimating body fat percentage and appendicular lean mass.
Implications: ​The Mobile Fit app can be a reliable tool for monitoring body composition changes but requires further refinement for precise fat and lean mass quantifications, especially for females.
Marco A. Minetto, Angelo Pietrobelli, Andrea Ferraris, Chiara Busso, Massimo Magistrali, Chiara Vignati, Breck Sieglinger, David Bruner, John A. Shepherd, & Steven B. Heymsfield (November 2023) "Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players". Nature.com - Scientific Reports
Newly developed formulas for estimating body fat
Objective: This paper presents and validates new formulas for estimating human body fat content, developed by Size Stream, using data from their SS20 3D body scanner and manual measurements.
Implications: ​The formulas offer a high level of accuracy and practicality, balancing statistical robustness with ease of application.
David Bruner, Ph.D., Size Stream CTO and Breck Sieglinger, Ph.D., Data Scientist (June 2020) "Body F.A.T. - Formulas of Adipose Tissue". Nature.com - Scientific Reports
Using 4C model criterion to calibrate 3DO imaging to estimate body composition
Objective: Develop and validate a new method for estimating body fat percentage (BF%) using anthropometric data obtained through 3-dimensional optical imaging (3DO) and a gold-standard 4-component (4C) body composition model.
Implications: ​Provide a robust, scalable approach for accurate body fat estimation in diverse populations using accessible technology.
Patrick S. Harty, Breck Sieglinger, Steven B. Heymsfield, John A. Shepherd, David Bruner, Matthew T. Stratton, Grant M. Tinsley, (May 2020) "Novel Body Fat Estimation Using Machine Learning and 3 Dimensional Optical Imaging". National Library of Medicine - National Center for Biotechnical Information
