Motion Tracking and Processing for Multimedia Sport E-Learning

Abstract

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. Many gesture capturing techniques, including light, video and motion tracking, are employed in commercial products, research systems, and the game industry. A tennis e-learning system is under study and being designed. To capture the motion of a tennis swing, the Nintendo Wii Remote is used as the input device. This work examines the various issues associated with motion-sensing input data: capturing, cleansing, classification and clustering. Results from the classification and clustering of some basic tennis swings, and the subsequent swing matching and identification are presented.