Abstract
The bionic hand prosthesis is a typical biomechatronic system. Current prosthetic hand can be controlled by the biological signals, but there is no feedback of the contact status between the prosthetic hand and the grasped object to the human body. This paper presents bidirectional human-machine interaction system for bionic prosthetic hand in order to solve the problem of lack of sensory feedback. In this paper, dual microprocessors based distributed control system hardware of the bionic hand is built. Force sensory resistor (FSR) array is used to detect pressure distribution signals in the human body forearm. Decoding of multiple motion modes for the human hand is achieved by means of building pressure distributed map (PDM), principal component analysis (PCA) based feature contraction and K -nearest neighbor (KNN) classi cation. Sensory feedback of the hand is realized by means of electrical stimulation method. Experimental results verify that PDM based motion mode recognition method has high successful rate and bilateral human-machine interaction system is useful to improve grasping capability of the prosthetic hand.
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