DSCAttenEMG: A Lightweight sEMG-Based Hand Gesture Recognition Model via Depthwise Separable Convolution and Multi-Head Attention
The implementation of surface electromyography (sEMG)-based hand gesture recognition on mobile and wearable systems is frequently restricted by the finite computing, memory, and battery capabilities of edge devices. Even though a low-density sEMG setup is a feasible hardware implementation, achieving robust recognition...