Body Fat Percentage Extracted from 3-D Scans for Sports and Medical Science - 11.249

J. Balzulat et al., "Body Fat Percentage Extracted from 3-D Scans for Sports & Medical Science", in Proc. of 2nd Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2011, pp. 249-254, https://doi.org/10.15221/11.249.

Title:

Body Fat Percentage Extracted from 3-D Scans for Sports & Medical Science

Authors:

Jochen BALZULAT 1, Ulrich BOTZENHARDT 1, Norbert BACHL 2, Arnold BACA 2, Mario HELLER 2

1 Human Solutions GmbH, Kaiserslautern, Germany;
2 Zentrum für Sportwissenschaft und Universitätssport an der Universität Wien, Austria

Abstract:

Body scanning technologies are used in many applications, from anthropometric research to garment technology to biomechanics. While capturing a subject's body shape and measurements is often the primary objective, 3-D body scan systems can potentially add more value in some applications by determining additional body characteristics. In sports and medical science those are body mass, body surface, or overall body fat percentage.
To develop algorithms capable of calculating such values, an extensive survey was conducted in which subjects were scanned in various positions to develop a stable and practicable process that considers process-inherent perturbations. Also, additional values were collected and interviews conducted to correlate subjects' diet and activity with body characteristics.
As a result, a new method was developed that allows estimating overall body fat percentage based on 3-D scans. The new method was evaluated against widely used methodologies such as infrared interactance, skin fold measurements, and body impedance.

Keywords:

3-D body scanning, body fat percentage, densitometry, body volume, body mass

Details:

Full paper: 11.249.pdf
Proceedings: 3DBST 2011, 25-26 Oct. 2011, Lugano, Switzerland
Pages: 249-254
DOI: https://doi.org/10.15221/11.249

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.

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