Finger Motion Recognition by Skin Surface Vibration Patterns

Recently, the development of prosthetic hand systems for hand amputees has attracted wide research interests. otion-related myoelectric potentials measured from the surface of upper part of forearms were mostly employed to construct the interface between amputees and prostheses However, finger motions could not be recognized from surface EMG (Electromyogram) signals. the basic idea of this study is to use motion-related surface vibration, to detect independent finger motions without using EMG signals. In this research, a finger tapping experiment used accelerometers was conducted to collect the finger motion related mechanical vibration patterns. The results with a wave form template matching method showed that the finger motion identification is possible by analyzing the vibration patterns.