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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| Additional Information | 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 | 10.1080/02640414.2018.1521769 |
| Official URL | https://www.tandfonline.com/doi/full/10.1080/02640... |
| Subjects | Historical > 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 | 129 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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