Author : Tejaswini 1
Date of Publication :7th May 2016
Abstract: Eye gesture controlled wheelchair is an attempt to make the lives of people simpler, who are suffering from physical disorder. It an initiative to make their livelihood self-reliant, which will thereby reinstate their confidence and their happiness. The eye monitored system controls the movement of the patients wheelchair depending on the eye movement. The device supports a patient sitting on the Wheel Chair assembly looking directly at the camera and can be able to move in the desired path just by looking in that specified direction. The camera signals are monitored by a MATLAB script, which will then guide the motors wired to the Microcontroller over the ZIGBEE to move in a particular direction. The system is cost effective and thus can be used by patients spread over a large economy range. The features provided are sufficiently affordable for middle class people and ultimately has been a contribution to the society.
- S. Tameemsultana and N. Kali Saranya, Implementation of Head and Finger Movement Based Automatic Wheel Chair, Bonfring International Journal of Power Systems and Integrated Circuits, vol. 1, Special Issue, pp 48-51, December 2011.
- Manuel Mazo, Francisco J. Rodriguez, Jose L, Lazaro, Jesus Urena, Juan C. Garcia, Enrique Santiso, Pedro Revenga and J. Jesus Garcia, Wheel chair for Physically Disabled People with Voice, Ultrasonic and Infrared Sensor Control , Autonomous Robots, vol.2, no. 3, pp. 203- 224 ,Sep 1995
- Tabasum Shaikh, Naseem Farheen Sayyed, Shaheen Pathan, Review of Multilevel Controlled Wheel chair, 4th National Conference On Electronic Technologies, pp. 275- 279, April 2013.
- Chung-Hsien Kuo, Yi-Chang Chan, Hung-Chyun Chou, and Jia-Wun Siao, ”Eye-glasses based electrooculography human-wheelchair interface,” Proceedings of the IEEE 2009 International Conference on Systems, Man and Cybernetics, San Antonio, Texas, Oct 2009.
- S.Yathunanthan, L.D.R. Chandrasena, A. Umakanthan, V. Vasuki and S.R. Munasinghe, ”Controlling a wheelchair by use of EOG signal,” Proceedings of 4th IEEE International Conference on Information and Automation for Sustainability, Colombo, Srilanka, 2008
- Chen Y, Newman W A human-robot interface based on electrooculography. In: Robotics and Automation, 2004. Proceedings. ICRA ’04. 2004 IEEE International Conference on volume 1, 243 248 Vol.1, 2004  Sarangi, P., Grassi, V., Kumar, V., Okamoto, J.: Integrating Human Input with autonomous behaviors on an Intelligent Wheelchair Platform, Journal of IEEE Intelligent System, 22, 2, 33-41, .
- Barea, R., Boquete, L., Mazo, M., Lopez, E.: System for Assisted Mobility using Eye Movements based on Electrooculography, IEEE Transaction on Neural System and Rehabilitation Engineering, 10, 4,209-218, 
- Implementation of Wheelchair Controller using Eyeball Movement for Paralytic People, A.kamaraj, April -2013.
- Matt Bailey, ET. Al, Development of Vision Based Navigation for a Robotic Wheelchair, in Proceedings of 2007 IEEE 10th International conference on rehabilitation robotics