IoT技術を取り入れた筋電義手の制御

抄録

Up to now, a lot of research related with the control method of a myoelectric prosthetic hand has been conducted. However, we seem to have limitations in controlling the hand only using myoelectric signals. In this study, we have tried to improve these limitations based on latest sensor network technologies for the Internet of Things. The sensor data and the history of prosthetic control are recorded in a log file and all processes including EMG pattern recognition are conducted on a server computer. Thus, the sensor imformation and properties embedded objects provides us new control abilities. This paper explains development of the sensor network system and the control method of the prosthetic hand, and shows the operation examples.