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Classifying Sports Gesture Using Event-Based Matching in a Multimedia E-learning System

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2 Author(s)
Takano, K. ; Dept. of Comput. & Inf. Sci., Kanagawa Inst. of Technol., Atsugi, Japan ; Kin Fun Li

Computer-based multimedia instructional systems are ideal for e-learning in many domains. For applications such as sport instruction, the central issue is to capture motions accurately and correctly for further processing. A Web-based tennis instruction system is under investigation and being designed and developed. To capture the motion of a tennis swing, the Nintendo Wii Remote is used as the input device. The current focus of the project is the various issues associated with motion-sensing input data: capturing, cleansing, classification and clustering of some basic tennis swings, and the subsequent swing matching and identification which can then be used to index into a multimedia database for instructional purpose. In this work, classification of a tennis swing using event-based matching is presented and illustrated with examples. Results from experiments with 50 people are analyzed. The accuracy and the suitability of the matching algorithms are evaluated and discussed.

Published in:

Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on

Date of Conference:

26-29 March 2012