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Machine Learning for Tennis Movement Analysis by especializacaoufmg is a document available to read on EtoBox.
What is Machine Learning for Tennis Movement Analysis about?
This study presents a machine learning method for the automatic detection and classification of changes of direction (COD) in professional tennis using player tracking data. By analyzing match footage of 19 players, the researchers identified 1,494 COD instances and trained various classifiers, with a random forest algorithm achieving the best performance. The findings offer a novel approach to enhance understanding of COD movements in tennis and provide empirical data for training applications.
- Author
- especializacaoufmg
- Language
- EN