3 papers
cs.LG2025
Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics
Shuhao Ma, Zeyi Huang, Yu Cao +4
Time-efficient estimation of muscle activations and forces across multi-joint systems is critical for clinical assessment and assistive device control. However, conventional approa…
eess.SP2024
Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics
Shuhao Ma, Yu Cao, Ian D. Robertson +3
Accurate understanding of muscle activation and muscle forces plays an essential role in neuro-rehabilitation and musculoskeletal disorder treatments. Computational musculoskeletal…
cs.LG2024
Physics-informed Deep Learning for Muscle Force Prediction with Unlabeled sEMG Signals
Shuhao Ma, Jie Zhang, Chaoyang Shi +3
Computational biomechanical analysis plays a pivotal role in understanding and improving human movements and physical functions. Although physics-based modeling methods can interpr…