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Eye Controlled Wheel Chair Using EOG

Alex Dev

Abstract


People suffering from various kinds of diseases such as Lou Gehrig’s, Muscular dystrophy or pseudocoma are unable to communicate because most of their voluntary muscles are inhibited. However, they are still conscious and have clear thought. Often, the only muscles that are still under voluntary control are those responsible for eye movements. This paper describes an eye-control method, based on Electro Ocular Graph (EOG), for guiding and controlling a wheelchair for disabled people; the control is actually affected by eye movements within the socket. The acquired EOG signals are amplified, filtered and sent into the microcontroller. The microcontroller interprets the voltage levels and makes the relays to switch on and off.

Keywords


Bio Signal, Electrodes, Electrooculography

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References


Rafael Barea, Luciano Boquete, Manuel Mazo, Elena López, L.M. Bergasa. ‘E.O.G. guidance of a wheelchair using neural networks’

R. Barea 1, L. Boquete, M. Mazo, E. López. A. García-Lledó. ‘EOG technique to guide a wheelchair’

Wei-Chung Cheng ‘An Electro-Oculography Circuit for Detecting Eye Movements for Low-PowervDisplays’

Chern-Sheng Lin, Chien-Wa Ho, Wen-Chen Chen, Chuan-chien chiu, Mau-Shiun Yeh ‘Powered wheel Chair controlled by eye tracking system’

Manuel Merino, Octavio Rivera, Isabel Gómez, Alberto Molina, Enrique Dorronzoro. ‘A Method of EOG Signal Processing to Detect the Direction of Eye Movements’

M. Mazo, F.J. Rodríguez,J.L. Lázaro, J. Ureña, J.C. García, E. Santiso, P.A. Revenga ‘Electronic control of a wheelchair guided by voice commands’.

EOG-based eye movements codification for human computer interaction’ R. Barea ⇑, L. Boquete, S. Ortega, E. López, J.M. Rodríguez-Ascariz


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