1A1-V06 Hand gesture identification using forearm surface EMG signals(Cooperation between Human and Machine(1))

Abstract

This study proposed robust EMG measurement technology, and examined the motion identification based on the AIEMG feature from a subject's forearm surface EMG. Several subject's motion identification experiment was conducted, and it was confined that the form of fingers could be identified with the probability of 90% or more.