FAST-TCN: A Frequency-Aware Spatio-Temporal Network for sEMG-Based Continuous Motion Prediction in Upper Limb Rehabilitation Robotics
Practical sEMG-based motion prediction for rehabilitation robotics faces two critical challenges: low robustness caused by inter-subject variability and signal non-stationarity, and mechanical safety hazards due to jittery control signals. Conventional Temporal Convolutional Network(TCN)-based methods often prioritize...