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Journal: International Journal of Electrical Engineering and Technology (IJEET) (Vol.11, No. 3)

Publication Date:

Authors : ; ;

Page : 231-237

Keywords : Eye Monitored System; Image Processing; MEMS; Accelerometer;

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According to the latest report prepared by the World Health Organization and the World Bank, 15 percent of the world's population is disabled [2]. The use of powerdriven wheelchairs with high navigational intelligence is a great step to integrate severely handicapped and mentally ill people. Different systems are being developed, allowing the end-user to perform safe movements and accomplish some daily life important tasks [4]. The notion is to create an Eye Monitored System that allows wheelchair navigation depending on the movement of the eyes. We have built a device where a patient sits in a Wheel Chair looking directly at the camera; can move in a direction just by looking in that direction. Our Robotic wheelchair uses the image processing system to control the wheelchair. The user's eye movements are turned to a screen position using a camera, without any direct contact. In addition, we can give more independence to the disabled person to communicate with the devices in a room, for example: a light, a fan. This communication is done using a MEMS Accelerometer. Using this, the person can handle various devices easily.

Last modified: 2021-03-03 19:47:17