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paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

Cross-view Multimodal Vision-Based Assessment Framework for Traditional Chinese Medicine Rehabilitation Training

Vision-based assessment can provide convenient and cost-effective evaluation in Traditional Chinese Medicine (TCM) rehabilitation training, where action quality assessment (AQA) from computer vision offers a promising solution. Existing automatic AQA frameworks for physical therapy typically rely on skeletal data captured from a single viewpoint, which is inefficient for TCM techniques such as acupuncture or Tuina that involve dense hand self-occlusion and complex hand-object interactions. To address these challenges, we propose CME-AQA, a cross-view, multimodal vision-based assessment framewo

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  • FuzzySimilar title/name (fuzzy) · 59%VioletVision-3B

    Fuzzy title match (0.73): “Cross-view Multimodal Vision-Based Assessment Framework for ” ≈ “VioletVision-3B”

  • FuzzySimilar title/name (fuzzy) · 84%pytorch/vision

    Fuzzy title match (0.92): “Cross-view Multimodal Vision-Based Assessment Framework for ” ≈ “pytorch/vision”

  • FuzzySimilar title/name (fuzzy) · 59%jeinlee1991/chinese-llm-benchmark

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