A prosthetic hand system based on neural network theory

Many researchers focus on providing approximate manipulation ability of a human hand to that of a prosthetic hand in order to improve the life quality of amputees. In this paper, force sensors are used to sense tendon motion.According to neural network algorithms,a computer receives and processes data of tendon motion,a proportional multifinger prosthesis is able to work depending on the output. Why it is important is because most prosthetics hands today, though expensive, provide only 1 DOF gripping. Finally, the resultant prosthetic hand motion and the tendon forces produced are given and results are discussed.