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Assist Home Training Table Tennis Skill Acquisition via Immersive Learning and Web Technologies
Conference paper

Assist Home Training Table Tennis Skill Acquisition via Immersive Learning and Web Technologies

Jian-Jia Weng, Yu-Hsin Wang, Calvin Ku, Dong-Xian Wu, Yi-Min Lau, Wan-Lun Tsai, Tse-Yu Pan, Min-Chun Hu, Hung-Kuo Chu and Te-Cheng Wu
Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022, pp.804-805
2022
DOI: https://doi.org/10.1109/VRW55335.2022.00253

Abstract

Activity centered design Human-centered computing Interaction design Interaction design process and methods Visualization Visualization systems and tools Visualization toolkits Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Human-Computer Interaction Media Technology Modeling and Simulation
Sports applications in Virtual Reality (VR) have become immensely popular for training skill-based sports like table tennis. However, the existing researches do not focus on designing an intuitive system for efficient communication between the trainee and the coach. We developed a VR table tennis training system for table tennis skill acquisition that focuses on helping coaches to convey a trainee's mistake clearly. Our system consists of a VR training system where trainees can learn a skill gradually and a web-based feedback annotative tool for coaches. Trainees can examine their mistakes through a tablet or an immersive VR world.

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