Body composition and anthropometrics in Military Personnel: Validation of a 3D scanner for field dep
Abstract
This project will develop algorithms to estimate body composition using a non-invasive, portable, and cost-effective 3D body scanner,. The algorithms and 3D body scanner will produce a repeatable methodology for determining body composition that can be implemented, with minimal training and low skill requirements at multiple military training locations. This aim of the project will support an e,xisting US DoD funded research project where data collection of body composition will not be possible using DEXA due to the remote l,ocations. Project Outcomes1.Validate the use of 3D body scans for estimating body composition against DEXA data to enable a low-cost, and portable body-composition measurement tool,2.Use body composition and body segment data, estimated from 3D body scans, to contr,ibute to physiological and biomechanical modelling for injury and performance monitoring;3.Develop understanding of the effects of m,ilitary field exercises on body composition.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 08, 2022
- Source ID
- N000142212452
Entities
People
- Tim Doyle
Organizations
- Macquarie University
- Office of Naval Research
- United States Navy