Abstract
In this paper, recognition of finger operations via surface EMG is discussed. We have developed a myoelectric prosthetic hand with thumb and index finger, so far. In order to control each finger of the developed myoelectric prosthetic hand independently, using the neural network, identifier which classifies four finger operations, namely flexion and extension of the thumb in metacarpophalangeal (MP) joint and flexion and extension of the index finger in MP joint, was constructed. The recognition of each finger operation was performed using the four patterns of the neural network based identifiers in which the recognition method of finger operations is different each other, and the results were compared.
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