Authors: Kosuke Takano; Kin Fun Li
Addresses: Department of Information and Computer Sciences, Kanagawa Institute of Technology, 1030 Shimo-ogino Atsugi, Kanagawa 243-0292, Japan ' Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 3P6, Canada
Abstract: Advances in data acquisition, human computer interface, and artificial intelligence have enabled the development of e-learning systems for educational and instructional purposes. Sport instruction, in particular, is a very attractive domain for computer-based learning as compared to the traditional human coaching approach, potentially saving space, time, and cost. A tennis instruction system has been designed and developed. In order to have a practical sport instructional system, motion-sensed input data must be accurately captured, cleansed, clustered, and classified, before further processing can be performed. This work presents the tennis instruction prototype and the issues associated with motion capture and identification.
Keywords: motion data acquisition; signal normalisation; motion tracking; motion data clustering; motion classification; gesture recognition; multimedia instruction systems; sport e-learning; web-based instruction; tennis coaching; tennis swings; electronic learning; online learning; sports technology; sport instruction; motion capture.
International Journal of Space-Based and Situated Computing, 2013 Vol.3 No.3, pp.155 - 168
Accepted: 25 Jul 2013
Published online: 13 Sep 2013 *