A multivariable ANFIS model for sEMG based remote control system

The sEMG (Surface Electromyogram) is a kind of physiological signal corresponding to the muscle action. The analysis of sEMG signal can obtain the charateristics of the motion information. In this paper, a remote control system based on sEMG was developed. The system consists of host and client computer. A sEMG signal recording device was designed. The recorded data was transit by Zigbee wireless communication technique to a host computer. The obtained data was analysed based on a developed multivariable ANFIS model in order to recognize the corresponding hand movement. The recognition result was shown on a client computer by a local area network. The developed control system mimics the remote clinical diagnosis circumstance, which was realizable for real application.

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