Computer vision-based human body segmentation and posture estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Evaluation of Baseball Pitching Form by Ground Reaction Force Measurement and Video Analysis
Journal of Visualization
Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf
Journal of Ambient Intelligence and Smart Environments
Mobile terminal-based tennis instruction support system for beginners
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf
Journal of Ambient Intelligence and Smart Environments
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This study describes a method for the measurement of sports form. The data obtained can be used for quantitative sports-skill evaluation. Here, we focus on the golf-driver-swing form, which is difficult to measure and also difficult to improve. The measurement method presented was derived by kinematical human-body model analysis. The system was developed using three-dimensional (3-D) rate gyro sensors set at positions on the body that express the 3-D rotations and translations during the golf swing. The system accurately measures the golf-driver-swing form of golfers. Data obtained by this system can be related quantitatively to skill criteria as expressed in respected golf lesson textbooks. Quantitative data for criteria geared toward a novice golfer and a midlevel player are equally useful