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From Sports Videos to Immersive Training: Augmenting Human Motion to Enrich Basketball Training E...

Talkat UIST 2025 · 2025-09-28..10-01· [webxr]
name:Yihong Wu
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name:Xiao Xie
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name:Hui Zhang
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Pipeline reconstructs 3D player and ball motion from broadcast video using computer-vision tools (object detection, trajectory fitting, 4D Humans, EasyMocap), turns shots into an MR one-on-one with fouls and jump-triggered defender reactions, and exposes KPIs like arm swing, release angle, and release height. Two studies (pairs defending three fake/three real shots; 12 shooters — 6 high, 6 amateur) show improved defensive timing and intuition, but MR pressure lowers accuracy for skilled players.

AI-written summary · about

  1. 0:00Introduction and overview
  2. 0:45Challenges with sports video training
  3. 2:53Research goals and framework
  4. 3:57Motion data extraction process
  5. 4:40Immersive visualization design
  6. 5:22One-on-one interactive training
  7. 6:46User study results and findings
  8. 8:53Limitations and future work
  9. 9:19Q&A session
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