36 citations · 36 across the 3 of their papers we have counts for
3 papers
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★ 36 cited
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…
cs.LG2023
The bionic neural network for external simulation of human locomotor system
Yue Shi, Shuhao Ma, Yihui Zhao
Muscle forces and joint kinematics estimated with musculoskeletal (MSK) modeling techniques offer useful metrics describing movement quality. Model-based computational MSK models c…