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.