Open access
Sep 2026
Physics-Informed Neural Network Design Toward Interpretable and Efficient Joint Moment Prediction
Data-driven approaches are increasingly being adopted in human motion analysis research. Joint moment estimation plays a crucial role in providing valuable insights for robotic design and rehabilitation-related applications. Estimating joint moments using surface electromyography (sEMG) offers the advantages of being n...
Ting-Han Xu, Yuan-Hao Liang, Lin Feng et al.
· IEEE transactions on neural... · 0 citations