Real-time estimation of human motion intention for a hand rehabilitation robot with forearm EMG signals

Abstract

We are developing a hand rehabilitation robot for post-stroke patients. To control the robot according to the human motion intention, we introduce a real-time classification method to extract motion intention of hand flexion and extension out of forearm EMG signals, that is known to have cross talk between each other during hand motion.