Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification

Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers +1

Accurate decoding of surface electromyography (sEMG) is pivotal for muscle-to-machine-interfaces (MMI) and their application for e.g. rehabilitation therapy. sEMG signals have high…