MIS Lab

An Immersive Serve Type Recognition Skill Training System for Table Tennis Beginners

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黃霈昕

Pei-Hsin Huang
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景璞

Pu Ching

Learning to identify serve spin is a fundamental yet challenging skill for table tennis beginners because the relevant motion cues are subtle and often difficult to observe in traditional training settings. We present an immersive system that reconstructs realistic serve motions from multi-view videos and provides flexible viewpoints, self-directed practice, and visualization tools that reveal essential spatiotemporal cues. The system enables learners to explore serve motions interactively within a virtual environment. A study with novice participants illustrates the promise of this approach for supporting early-stage perceptual learning in table tennis training.

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BibTeX

@INPROCEEDINGS{11489726,
  author={Huang, Pei-Hsin and Ching, Pu and Wu, Szu-Han and Liu, Shang-Ching and Tsai, Tsung-Hsun and Ku, Calvin and Chang, Tang Chen and Lin, Hsueh-Yi and Chu, Hung-Kuo and Hu, Min-Chun},
  booktitle={2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
  title={An Immersive Serve Type Recognition Skill Training System for Table Tennis Beginners},
  year={2026},
  volume={},
  number={},
  pages={1041-1042},
  keywords={Feeds;Broadcasting;Broadcast technology;Contacts;Feedback;System-on-chip;Circuits;Circuits and systems;Videos;Protocols;Sports;Visual Design;Immersive Learning},
  doi={10.1109/VRW70859.2026.00195}}

Paper IEEE link