Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance

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Cust, Emily ORCID: 0000-0001-6927-6329, Sweeting, Alice ORCID: 0000-0002-9185-6773, Ball, Kevin ORCID: 0000-0001-5661-9388 and Robertson, Samuel ORCID: 0000-0002-8330-0011 (2019) Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance. Journal of Sports Sciences, 37 (5). pp. 568-600. ISSN 0264-0414 (In Press)

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This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Sports Sciences in March 2018, and available online.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/37960
DOI https://doi.org/10.1080/02640414.2018.1521769
Official URL https://www.tandfonline.com/doi/full/10.1080/02640...
Subjects Current > FOR Classification > 1106 Human Movement and Sports Science
Current > Division/Research > Institute for Health and Sport
Keywords sport performance analysis; human activity recognition; inertial measurement units; machine learning; computer vision
Citations in Scopus 38 - View on Scopus
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