Jun Zhang

Real-time gesture classification via spike trains and multi-scale temporal features from sEMG signals

Classical gesture classification based on surface electromyographic (sEMG) signals often suffers from the cross-talk problem. To solve this, we propose a lightweight deep learning framework that integrates multi-scale temporal features from spike trains to improve the accuracy, stability, and real-time applicability....