Open access
Oct 2026
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....
Chuang Lin, Zi-Wei Cui, Wen-Bin Wang et al.
· Scientific Reports · 0 citations