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Validation of ball spin estimates in tennis from multi-camera tracking data.

Authors :
Cant, Olivia
Kovalchik, Stephanie
Cross, Rod
Reid, Machar
Source :
Journal of Sports Sciences. Feb2020, Vol. 38 Issue 3, p296-303. 8p. 1 Diagram, 4 Charts, 4 Graphs.
Publication Year :
2020

Abstract

The purpose of this study was to examine the accuracy of methods to estimate ball spin rate and spin axis direction using multi-camera tracking technology. The method implemented by Hawk-Eye and a theoretical ball trajectory model were assessed for their accuracy against high speed-vision. A theoretical ball trajectory model was found to estimate ball spin rate and the spin axis direction more accurately than the method used by Hawk-Eye. The superior performance of the ball trajectory model was indicated by a lower mean bias and standard deviation (2.92 ± 222.76) than Hawk-Eye (−100.01 ± 542.44), as well as narrower limits of agreement and a 327.63 RPM lower RMSE. Spin rates less than 4500 RPM were estimated with the highest accuracy, but neither method was able to consistently and accurately estimate spin rates >4500 RPM. The application of a trajectory model to multi-camera ball tracking data provides a practical and non-invasive method to accurately estimate the spin imparted when hitting, allowing for large-scale collection of spin rates during matches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02640414
Volume :
38
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Sports Sciences
Publication Type :
Academic Journal
Accession number :
141133744
Full Text :
https://doi.org/10.1080/02640414.2019.1697189