Microcontroller Based EOG Guided Wheelchair
Authors: Jobby K. Chacko, Deepu Oommen, Kevin K. Mathew, Noble Sunny, N. Babu
Abstract:
A new cost effective, eye controlled method was introduced to guide and control a wheel chair for disable people, based on Electrooculography (EOG). The guidance and control is effected by eye ball movements within the socket. The system consists of a standard electric wheelchair with an on-board microcontroller system attached. EOG is a new technology to sense the eye signals for eye movements and these signals are captured using electrodes, signal processed such as amplification, noise filtering, and then given to microcontroller which drives the motors attached with wheel chair for propulsion. This technique could be very useful in applications such as mobility for handicapped and paralyzed persons.
Keywords: Electrooculography, Microcontroller, Signal processing, Wheelchair.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1336500
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[1] Schilling, K., Roth, H., Lieb, R. and Stützle, H. "Sensors to improve thesafety for wheelchair users, in: I. Placencia Porrero and E. Ballabio (eds)”, Improving the Quality for the European Citizen, IOS Press, 1998.
[2] Yanco, H. A., Hazel, A., Peacock, A., Smith, S., and Wintermute, H. "Initial report on wheelesley: A robotic wheelchair system, in: Proc. of the Workshop on Developing AI Applications for the Disabled”, Internat. Joint Conf. on Artificial Intelligence, Montreal, Canada, August 1995.
[3] Joseph A. Lahoud and Dixon Cleveland. "The Eyegaze Eyetracking System". LC Technologies, Inc. 4th Anual IEEE Dual-Use Technologies and Aplications Conference.
[4] Holly. A.Yanco, Wheelesley. "A robotic wheelchair system: Indoor navigation and user interface, Assistive Technology and Artificial Intelligence”, 1998, Volume 1458/1998, 256-268,
[5] Robert J.K. Jacob. "Eye Movement-Based Human-Computer Interaction Techniques: Toward Non- Command Interfaces". Human-Computer Interaction Lab. Naval Research Laboratory. Washington, D.C. 1995.
[6] Barea R, Boquete L, Mazo M, L´opez E, and Bergasa L.M, "E.o.g guidance of a wheelchair using neural networks,” in Proceedings of International Conference on Pattern Recognition (ICPR’00), Spain, September 2000, pp. 668–671.
[7] Naoaki Itakura, K. Sakamoto. "A new method for calculating eye movement displacement from AC coupled electro-oculographic signals in head mounted eye–gaze input interfaces, Biomedical signal processing and control” 2010, 5(2), 142-146.
[8] Yutaka satoh,and Katsuhiko sakaue, "An Omnidirectional Stereo Vision Based Smart Wheelchair”, EURASIP Journal on Image and Video Processing 2007, Article ID 87646, 1-11.
[9] Barea R, Boquete L, Mazo M, López E. "Guidance of a wheelchair using electrooculography". Proceedings of the 3rd IMACS International Multiconference on Circuits, Systems, Communications and Computers (CSCC'99). July 1999. Greece.
[10] Barea R, Boquete L, Mazo M, López E, L.M. "Bergasa. "Help to the mobility and the communication by means of ocular movements". Proceeding of TELEC´2000. Santiago de cuba. Cuba. July 2000.
[11] Barea R, Boquete L, Mazo M, López E, "EOG technique to guide a wheelchair”. Procceding of 16th IMACS World Congress.Laussana, Switzerland. August 2000.
[12] North, A. W. "Accuracy and precision of electrooculographic recording”, Invest. Ophthalmol. (1965), 4 , 343–348.
[13] Barea R, Boquete L, Mazo M and López E, "Wheelchair Guidance Strategies Using EOG”, Journal of Intelligent and Robotic Systems, 2002, 34, 279–299.
[14] Levine SP, Bell DA, Jaros LA, Simpson RC, Koren Y, Borenstein J. "The NavChair assistive wheelchair navigation system”, IEEE Trans Rehabil Eng. 1999, 7(4), 443–51.
[15] Borgolte U, Hoyer H, Buehler C, Heck H, Hoelper R. "Architectural concepts of a semi-autonomous wheelchair”, J Intell Robotic Syst. 1998; 22(3/4),233–53.
[16] Prassler E, Scholz J, Fiorini P. "A robotic wheelchair for crowded public environments”, IEEE Robot Autom Mag. 2001,8(1),38–45.
[17] Simpson RC, LoPresti EF, Hayashi S, Nourbakhsh IR, Miller DP. "The smart wheelchair component system”. J Rehabil Res Dev. 2004, 41(3B), 429–42.
[18] Richard C. Simpson, "Smart wheelchairs: A literature review”, Journal of Rehabilitation Research & Development, 2005, 42(4), 423–436.