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Recognition of tennis strokes using key postures

Connaghan, Damien and Ó Conaire, Ciarán and Kelly, Philip and O'Connor, Noel E. (2010) Recognition of tennis strokes using key postures. In: ISSC 2010 - 21st IET Irish Signals and Systems Conference, 23-24 June 2010, Cork, Ireland. (In Press)

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In this paper we describe an approach for automatic recognition of tennis strokes using a single low cost camera. Professional tennis is played at high speed so the ability to classify tennis strokes on camera is hindered by the rapid movement of the players. We have developed an accurate recognition system which can automatically index tennis strokes from video footage. We aim to evolve this system so that meta data, such as time codes and descriptions of the strokes played, can be automatically indexed for a training session or a match. This level of indexing would provide an excellent foundation for the development of next generation sports coaching systems. The aim of this paper is to coarsely classify the main stokes played in tennis, i.e. a serve, forehand or backhand. The proposed approach is evaluated against a real-world dataset, obtained from elite players in a competitive training match.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institution of Engineering and Technology
Official URL:
Copyright Information:Copyright the authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1147
ID Code:15428
Deposited On:25 Jun 2010 14:18 by Philip Kelly. Last Modified 25 Jun 2010 14:18

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