Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection
An energy-efficient framework for muscle fatigue detection based on Spiking Neural Networks (SNNs), which exploit sparse, event-driven computation and temporal modeling is proposed and a quantization-compatible training scheme (SDH) is introduced that combines multiple regularization terms to improve robustness under n...