Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.021203
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 12, 2011.
Abstract: Autonomous Eye Based Electric Wheel Chair: EBEWC control system which allows handicap person (user) to control their EWC with their eyes only is proposed. Using EBEWC, user can move to anywhere they want on a same floor in a hospital autonomously with obstacle avoidance with visible camera and ultrasonic sensor. User also can control EBEWC by their eyes. The most appropriate route has to be determined with avoiding obstacles and then autonomous real time control has to be done. Such these processing time and autonomous obstacle avoidance together with the most appropriate route determination are important for the proposed EBEWC. All the required performances are evaluated and validated. Obstacles can be avoided using acquired images with forward looking camera. The proposed EBEWC system allows creation of floor layout map that contains obstacles locations in a real time basis. The created and updated maps can be share by the electric wheel chairs on a same floor of a hospital. Experimental data show that the system allows computer input (more than 80 keys) almost perfectly and electric wheel chair can be controlled with human eyes-only safely.
Kohei Arai and Ronny Mardiyanto, “Autonomous Control of Eye Based Electric Wheel Chair with Obstacle Avoidance and Shortest Path Findings Based on Dijkstra Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 2(12), 2011. http://dx.doi.org/10.14569/IJACSA.2011.021203