Performing control of the DC motor shaft using embedded systems

Processing biomedical signals applications as scientific and industrial have popular domain, most popular signals are EMG signals. These signals are electrical potentials of nerve and muscle signals. There are applications and studies at many fields by using these signals. At these studies doing some preprocessing and using by applying attribute extraction methods as proposing in the literature because EMG signals's amplitude being low and noisy. The accuracy is increased by using classification methods. In this study, processes EMG signals as hand opening and hand closing at single handed, classified with Artificial Neural Networks (ANN) and fuzzy logic classification methods. The categorized signals transferred to the wiper mechanism by computer and checked operation of the mechanism by hand opening and hand closing movements.