Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Wheelchair Guidance Strategies Using EOG
Journal of Intelligent and Robotic Systems
Artificial Intelligence
Eye tracking -- A new interface for visual exploration
BT Technology Journal
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
On the use of electrooculogram for efficient human computer interfaces
Computational Intelligence and Neuroscience - Special issue on processing of brain signals by using hemodynamic and neuroelectromagnetic modalities
Evaluating eye tracking with ISO 9241 - part 9
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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This paper describes a technique based on electrooculography to control a robot arm. This technique detects the movement of the eyes, measuring the difference of potential between the cornea and the retina by placing electrodes around the ocular area. The processing algorithm developed to obtain the position of the eye at the blink of the user is explained. The output of the processing algorithm offers, apart from the direction, four different values zero to three to control the velocity of the robot arm according to how much the user is looking in one direction. This allows controlling two degrees of freedom of a robot arm with the eyes movement. The blink has been used to mark some targets in tests. In this paper, the experimental results obtained with a real robot arm are shown.