Study On Control System For Multi-degree Intelligent Artificial Hand

Multi-degree intelligent artificial hand is a type of dynamic artificial hand and the model "man-machine system", which is controlled by biological electricity. Its principle is to utilize the change of biological electricity that is regarded as control signal, to control the movement of artificial hand. On the other hand, the grip of artificial hand is adjusted by touch signal and slip signal from sensor that is fixed on the front of artificial hand.These days, there are two factors influencing the development of multi-degree intelligent artificial hand. First, it is highly difficult to identify to biological electricity. So it is highly difficult to judge accurately the motion of artificial hand by collecting biological electricity. It results in a bad precision on the motion of artificial hand. So it faces the matter for clinical application. On the other hand collecting signal isn't of enough information and cann't adapt to the development of artificial hand. For improving the precision of motion, in this paper a kind of control model is devised after summing up and studying other works in this field, which is based on BP algorithm. In this paper touch signal and slip signal are detected by PVDF, which is used for adjusting grip of artifiial hand. It seems artificial hand is of "feel", and it can pick up not only a glass but also a heavy object. Although EMG is of many benefits as the control signal of artificial hand, there is not enough information utilized to control artificial if patient has lost his entire upper limb. Therefore, author study deeply EEG and study other works in this field. By these preparative, author analyses the feasibility of control artificial with EEG and devises a control model controlling artificial hand with EEG.Some experiments demonstrate that the control system of three-degree intelligent artificial hand with EMG achieves anticipant aim. It is reliable and steady to hold objection. By analyzing on experiments, it is feasible to control artificial hand with EEG. The control model that is mentioned to control artificial hand with EEG in this paper need be proved to its validity by a large numbers of experiments. From the grope on EEG in this paper, there is a good foreground for controlling artificial with EEG, but it needs researchers' more effort for achieving really to clinical application.