Technological and computing innovations are rapidly transforming the tools we employ for recording, measuring, collating and interpreting body dimension and composition assessments. Three-dimensional body scanning systems integrated with other imaging modalities to create multi-faceted digital human profiles, and artificial intelligence techniques such as deep learning and artificial neural networks, are set to revolutionise the physique assessment landscape over the coming decade. Dual-energy X-ray absorptiometry is regarded as the current gold standard for determining body fat percentage and lean mass. Leveraging computer vision techniques, it is now possible to register an individual’s dual-energy X-ray absorptiometry-derived body composition with the mesh exported by the same individual’s three-dimensional body scan.
|Title of host publication||Best Practice Protocols for Physique Assessment in Sport|
|Editors||Patria A. Hume, Deborah A. Kerr, Timothy R. Ackland|
|Place of Publication||Singapore|
|Number of pages||7|
|Publication status||Published - 2018|
Alderson, J. A. (2018). Imaging method: Technological and computing innovations. In P. A. Hume, D. A. Kerr, & T. R. Ackland (Eds.), Best Practice Protocols for Physique Assessment in Sport (pp. 169-175). Singapore: Springer. https://doi.org/10.1007/978-981-10-5418-1_14