VisMimic: Integrating Motion Chain in Feedback Video Generation for Motor Coaching
summary
VisMimic builds an authoring pipeline that automatically extracts key poses by detecting extrema in joint trajectories, converts motions into a motion chain with angular/positional/temporal kinematic constraints, and synthesizes animated feedback using PoseFix, a diffusion-based avatar generator, and fallback full-body IK. A 3D fitness dataset powers constraint-weighting across a parent–child joint hierarchy and greedy decoding to rank feedback candidates. User studies report positive ratings, SUS in the acceptable range, and no significant difference versus expert videos, while reconstruction accuracy and object interactions remain limitations.
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chapters (6)
- 0:00Introduction and motivation
- 2:32Literature review and design
- 6:05System interface and demo
- 8:54User studies and results
- 9:57Limitations and future work
- 10:19Q&A session
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