Imaging method: Technological and computing innovations

Jacqueline Anne Alderson

doi:10.1007/978-981-10-5418-1_14

Imaging method: Technological and computing innovations

Jacqueline Anne Alderson

School of Human Sciences

Research output: Chapter in Book/Conference paper › Chapter › peer-review

Abstract

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.

Original language	English
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
Publisher	Springer
Chapter	14
Pages	169-175
Number of pages	7
ISBN (Electronic)	9789811054181
ISBN (Print)	9789811054174
DOIs	https://doi.org/10.1007/978-981-10-5418-1_14
Publication status	Published - 21 Dec 2017

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10.1007/978-981-10-5418-1_14

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abstract = "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{\textquoteright}s dual-energy X-ray absorptiometry-derived body composition with the mesh exported by the same individual{\textquoteright}s three-dimensional body scan.",

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AB - 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.

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A2 - Kerr, Deborah A.

A2 - Ackland, Timothy R.

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ER -

Imaging method: Technological and computing innovations

Abstract

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