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.
Highlights
Machine and robot technology has progress rapidly, improving human live and making human work become easier
The robot arm joint movements are determined by the EOG discrimination method where the polarity of eye gaze motion signals in each channel 1 (Ch1) and channel 2 (Ch2)
4 electrodes are used in the experiment, the electrode of Ch1 and Ch2 are specialize to detect and record EOG and electrode Ch3 and Ch4 are specialize for EMG
Summary
Machine and robot technology has progress rapidly, improving human live and making human work become easier. In Japan alone, based on year 2009 report, the people who are with disabilities and need supports are about 4,690,000 For those aged people and people with disabilities, the ever growing machine and robot technology seem unfeasible to make use of it. As for aged people, the human aging is closely related to the decrease of the mass and the voluntary contractile of muscle and this condition often causes a disability condition among older people. To overcome this problem with the machine and robot control system, human machine interface technology has being research
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