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has been cited by the following article:

• TITLE: Robot Control System Based on Electrooculography and Electromyogram

  AUTHORS: Minoru Sasaki, Muhammad Syaiful Amri Bin Suhaimi, Kojiro Matsushita, Satoshi Ito, Muhammad Ilhamdi Rusydi

  KEYWORDS: EOG, EMG, Man-Machine Interface, Robot Control

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.11, November 19, 2015

  ABSTRACT: This paper describes a man-machine interface system using EOG and EMG. A manipulator control system using EOG and EMG is developed according to EOG and EMG. With the eye movement, the system enabled us to control a manipulator. EOG is using for moving the robot joint angles and EMG is using for object grasping. The EOG and EMG discrimination method is used to control the robot. The robot arm joint movements are determined by the EOG discrimination method where the polarity of eye gaze motion signals in each Ch1 and Ch2. The EMG discrimination method is used to control arm gripper to grasp and release the target object. In the robot control experiment, we are successfully control the uArmTM robot by using both EOG and EMG discrimination method as the control input. This control system brings the feasibility of man-machine interface for elderly person and handicapped person.