Body Composition and Measurement Improvements from Size Stream 3D Mobile Scanning - 26.04
Title:
Body Composition and Measurement Improvements from Size Stream 3D Mobile Scanning
Authors:
Steven C. HAUSER, Matthew S. GILMER, David BRUNER
Size Stream LLC, Cary NC, USA
Keywords:
3D body scanning, machine learning, mobile scanning, body fat measurement, body composition
Abstract:
Accurate body composition measurements are essential for assessing health risks and providing optimal health care outcomes. Key measurements include total body fat percentage and the mass of visceral adipose tissue, which are both associated with a wide range of metabolic and cardiovascular pathologies. Despite their importance, it is quite difficult to obtain reliable measurements for these quantities. Gold standard techniques such as dual energy X ray absorptiometry (DXA) require clinical visits, expose patients to ionizing radiation, and remain costly, limiting their accessibility. Consumer bioimpedance devices offer a more convenient alternative, but typically suffer from either limited accuracy or high cost, and are entirely unable to estimate key metrics such as visceral fat or bone density. Recently, mobile 3D body scanning has begun to gain traction in measuring these critical quantities, providing a low-cost and at-home method to estimate both body composition and external measures. With Size Stream’s latest improvements to our technology, we demonstrate enhanced capability in representing and predicting 3D body shapes, using both silhouettes and RGB color images. We also show improvements in predicting key metrics of visceral fat and appendicular lean mass, achieving high accuracy compared to DXA scanners. The study highlights the continuing promise of 3D mobile scanning as an easily accessible and much lower cost alternative to DXA scans for assessing body composition and measurements.
Full paper:
Presentation:
Full video will be available here in Q3.2027; it is already availble in the proceedings (purchase order).
How to Cite (MLA):
Hauser, Steven C. et al., "Body Composition and Measurement Improvements from Size Stream 3D Mobile Scanning", Proceedings of 3DBODY.TECH 2026 - 17th International Conference and Expo on 3D/4D Body Technologies, Lugano, Switzerland, 20-21 Oct. 2026, #04, https://doi.org/10.15221/26.04
Details:
Proceedings: 3DBODY.TECH 2026, 20-21 Oct. 2026, Lugano, Switzerland
Paper/Presentation: #04
DOI: https://doi.org/10.15221/26.04
License/Copyright notice
Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.
Note: click the + on the top left of the page to open/close the menu.