Muscle activity is fundamental to human movement, and understanding its patterns is critical for injury prevention and rehabilitation. Conventional muscle activity monitoring relies on specialized sensors such as surface electromyography, which limits its practicality for long-term real-world use. Existing studies sugg...
Yue-Peng Chen, Jie-Hong Shi, Kai-Li Zheng et al.· 0 citations
FitAQA is introduced, a systematic benchmark for evaluating MLLMs in fitness AQA, containing 2,219 videos and 5,512 QA instances across 30 bodyweight exercises and a unified form error taxonomy is developed that defines 38 recurring form errors within six complementary quality dimensions.
Kai-Li Zheng, Kai-Wen Wang, Xun Zhu et al.· 1 citation
The effectiveness of tokenized sEMG representations as a compact, generalizable, and physiologically meaningful feature space for applications in rehabilitation, human-machine interaction, and motor function analysis is highlighted.
Yue-Peng Chen, Kai-Li Zheng, Ji Wu et al.· Expert systems with applicat...· 0 citations
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