A study on a sensing system for artificial arm's control

In this paper, a sensing system for artificial arm's control is studied. The sensing system is consisted of 3 main parts. First part is a sensor system. It can measure how flexed the muscle is. So we use flex sensor. To get flexion signal, first sensor is attached the biceps brachii muscle. And other sensor is attached the triceps brachii muscle or other muscle in the left arm. The two signals that output from the sensor are passed to the amplification that has gain of 50~100 times and low pass filter of cut off frequency of 200[Hz]. And then arm's movement is classified 4 motions - flexion and extension, pronation and supination by the sensing system. Finally, to verify the validity of the proposed sensing system we would be experiment to healthy people in their late twenties to middle thirties with different muscular movements in their arms were selected as participants

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