Bio-robotic system using bio-metric signals

Using bio-metric signals such as muscle and neuron signals through intelligent control systems to mimic human behavior, recovery of human organ function and rehabilitation in health care or remove human beings from hard or dangerous working condition has been an active research area especially in recent decades. This research attempts to develop a cost effective bio-driving robotic system for hand amputees more precisely for wrist disarticulation. The system aims to use the Electromyography (EMG) signals from amputee´s arm to realize a few commonly used finger and hand movements. So far the research is able to obtain the desired EMG signals through a specific data acquisition and signal processing procedure. A specially designed finger unit has been designed and the test model is able to function as expected. Further research is still in process. It is hoped that the entire system will be able to be driven by the amputees using their EMG signals and realize the finger and hand functions that they use in their everyday life.