EMG-based human-machine interface system

The paper presents an electromyographic based (EMG based) human-machine interface system. To retain a constraint-free user environment, EMG sensing is limited to three arm muscles. EMG signals are processed to attain parameters that are related to the muscles´ temporal activities. Using these parameters, a unique signature is constructed for each particular gesture. The problem of gesture classification is carried out in a framework of statistical pattern recognition. Experimental investigation was carried out to examine the system´s reliability in recognizing 12 arm gestures. The results show that the system can recognize the 12 gestures with a success rate of 96%