Interface based on electrooculography for velocity control of a robot arm

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.

[1]  Yoshiyuki Sankai,et al.  Leading Edge of Cybernics: Robot Suit HAL , 2006, 2006 SICE-ICASE International Joint Conference.

[2]  Iñaki Iturrate,et al.  A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation , 2009, IEEE Transactions on Robotics.

[3]  Fabio Babiloni,et al.  On the Use of Electrooculogram for Efficient Human Computer Interfaces , 2009, Comput. Intell. Neurosci..

[4]  Jong Oh Park,et al.  A wearable robotic arm with high force-reflection capability , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).

[5]  Xuan Zhang,et al.  Evaluating Eye Tracking with ISO 9241 - Part 9 , 2007, HCI.

[6]  Rubén V. Rial,et al.  Manual de técnicas en electrofisiología clínica , 1995 .

[7]  José del R. Millán,et al.  Brain-actuated interaction , 2004, Artif. Intell..

[8]  Worthy N. Martin,et al.  Human-computer interaction using eye-gaze input , 1989, IEEE Trans. Syst. Man Cybern..

[9]  Wyatt S. Newman,et al.  A human-robot interface based on electrooculography , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[10]  Gheorghe Mogan,et al.  Using Eye Blinking for EOG-Based Robot Control , 2010, DoCEIS.

[11]  Robert J. K. Jacob,et al.  Evaluation of eye gaze interaction , 2000, CHI.

[12]  Fred Stentiford,et al.  Eye tracking — A new interface for visual exploration , 2006 .

[13]  Manuel Mazo,et al.  Electro-Oculographic Guidance of a Wheelchair Using Eye Movements Codification , 2003, Int. J. Robotics Res..

[14]  Manuel Mazo,et al.  Wheelchair Guidance Strategies Using EOG , 2002, J. Intell. Robotic Syst..