2A2-P17 A Development of the robot arm control system by using SEMG(Non-contact Sensing)
Yuuma Hiramatsu, Kenshiro Nakata, Tsubasa Seto, Kazusige MAGATANI · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2013
In this study we used SEMG that can be derived from the skin surface. It is well known that any kind of hand motions can be identified by analyzing forearm SEMG patterns, and the results of this identification are used in order to control some devices. In this study, a robot hand control system that has a feedback loop of power was developed and assessed.