Identification of finger operation using support vector machine and control of myoelectric prosthetic hand based on integrated electromyogram

In this paper, we discuss the identification of finger operation and control of the fingers of a myoelectric prosthetic hand. In our proposed design, finger operation is categorized as one of the six types of motion, and on the basis of integrated electromyography (IEMG), the identification of finger operation is performed using a support vector machine-based classifier. In addition, we describe a new method for controlling a myoelectric prosthetic hand with IEMG. It has been reported that the IEMG represents the amount of the activity of a muscle. Experiments were performed to verify the proposed methods.