A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis
Download
Full text for this resource is not available from the Research Repository.
Export
Giles, Brandon, Kovalchik, Stephanie and Reid, Machar (2019) A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis. Journal of Sports Sciences, 38 (1). pp. 106-113. ISSN 0264-0414
Dimensions Badge
Altmetric Badge
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/40292 |
DOI | 10.1080/02640414.2019.1684132 |
Official URL | https://www.tandfonline.com/doi/full/10.1080/02640... |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 1106 Human Movement and Sports Science Current > Division/Research > Institute for Health and Sport |
Keywords | change of direction; tennis; tennis players; tracking data; Australian Open; automatic classifier; algorithm |
Citations in Scopus | 20 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)