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September 5, 2025Scientific ReportsOpen Access

AI-Driven Tai Chi mastery using deep learning framework for movement assessment and personalized training

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The system achieves 42% faster skill acquisition in tai chi training compared to traditional methods.
Validation experiments demonstrate a 28.5% greater improvement in movement quality from the AI-driven approach.
The use of deep learning for movement assessment enables accurate evaluation and personalized feedback.
User satisfaction ratings were high across all experience levels, emphasizing the effectiveness of the approach.

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This framework optimizes tai chi techniques in 120 participants, highlighting significant movement quality improvements.

Xun Zhao (2025) studied this question.

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