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Multi-sensor classification of tennis strokes

Connaghan, Damien and Kelly, Philip and O'Connor, Noel E. (2011) Multi-sensor classification of tennis strokes. In: IEEE Sensors 2011, 28-31 Oct, Limerick, Ireland.

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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.

Item Type:Conference or Workshop Item (Lecture)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:inertial measuring unit; sensors; sport
Subjects:Computer Science > Machine learning
Engineering > Signal processing
Engineering > Electronic engineering
Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:This work is supported by Science Foundation Ireland under grant 07/CE/I1147 and the National Access Program.
ID Code:16476
Deposited On:02 Nov 2011 14:36 by Damien Connaghan. Last Modified 02 Nov 2011 14:36

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