A medium-density EMG system for real-time proportional and simultaneous neuroprosthetic hand control using lightweight neural networks
Objective. Restoring intuitive and natural hand control remains a key challenge in neuroprosthetics. A promising approach is to decode continuous finger-joint angles from electromyography (EMG) signals, enabling dexterous interaction. Deep neural networks show strong potential for this task, but are often too computati...