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The purpose of this study is to estimate a validity of control signal through a design of Exoskeleton Robot Arm`s capable of intelligent recognition as a human arm`s motion by using realtime processed data of generated EMG signals. By an intelligent algorithm, the EMG output value of human biceps and triceps muscles contraction can be recognized and used for the control over exoskeleton arm corresponding to human`s recognition and judgement. The EMG sensing data of muscles contraction and relaxation are used as the input signal from human`s body to operate the Exoskeleton Robot Arm thus copying human arm motion. An intelligent control of Exoskeleton Robot Arm is to design the analog control circuit which processes the input data, and then to manufacture an integrated control board. And then abstracted signal is passed by DSP signal processing, Fuzzy logic algorithm is designed for a accurate prediction of weight or load through the intelligent algorithm, and design an Exoskeleton Robot Arm to express a human`s intention.

The Implementation of the Intelligent Exoskeleton Robot Arm Using ElectroMiogram(EMG) vital Signal