Multi-sensor classification of tennis strokes

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Date
2011-10-31
Authors
Connaghan, Damien
Kelly, Philip
O'Connor, Noel E.
Gaffney, Mark
Ó Mathúna, S. Cian
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IEEE
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Abstract
In this work, we investigate tennis stroke recognition using a single inertial measuring unit attached to a player’s forearm during a competitive match. This paper evaluates the best approach for stroke detection using either accelerometers, gyroscopes or magnetometers, which are embedded into the inertial measuring unit. This work concludes what is the optimal training data set for stroke classification and proves that classifiers can perform well when tested on players who were not used to train the classifier. This work provides a significant step forward for our overall goal, which is to develop next generation sports coaching tools using both inertial and visual sensors in an instrumented indoor sporting environment.
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Keywords
Wireless inertial measuring unit (WIMU) , Sensors , Sport , Tennis stroke , Stroke classification
Citation
Connaghan, D., Kelly, P., Connor, N. E. O., Gaffney, M., Walsh, M. and Ó Mathuna, S. C. (2011) 'Multi-sensor classification of tennis strokes'. SENSORS, 2011 IEEE, Limerick, Ireland 28-31 October, pp. 1437-1440. doi: 10.1109/ICSENS.2011.6127084
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(c) 2011, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.