A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis.

The purpose of this study was to develop an automated method for identifying and classifying change of direction (COD) movements in professional tennis using tracking data. Three sport science and strength and conditioning experts coded match-play footage of nineteen professional tennis players (9 m...

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Publicado en:Journal of Sports Sciences Vol. 38; no. 1; pp. 106 - 114
Autores principales: Giles, Brandon, Kovalchik, Stephanie, Reid, Machar
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2020
Acceso en línea:Ver este registro en EBSCOhost