Abstract
Many people are suffering from the disease called Quadriplegia which means the forelimbs of those people do not work. Some People cannot walk, and they can?t even move because of major accidents. The number of persons suffering from Quadriplegia is increasing with increase in the population of the world. For such people, the main source for movement is the Wheelchair. It is very helpful for the people if those wheel chairs are automated. Some systems have already come into existence such as voice controlled wheel chair, gesture controlled wheel chair. But these systems have some drawbacks as they cannot be used by the persons who cannot move their hands, and voice controlled systems are vulnerable to noise. Therefore, to overcome those, we propose Eye ball movement Based Wheel chair control system which moves in the desired direction that the person wants to move. Here we are counting the eye blinks. Based on the blinks count we are going to monitor the eye ball movement. We use eye detection, processing of the captured images and interfacing the raspberry pi with motor drivers to control the wheelchair. We also include IR sensors for obstacle detection in left, right, forward direction.
Keywords
Eye blink, Eye ball movement, IR(infrared) sensor, Quadriplegia, Raspberry pi
Citations
IRE Journals:
M.Vasantha Lakshmi , N. V. Srinivas , M. Lakshminadh , N. Sathish Kumar , M. Hareesh Teja
"Eyeball Movement Based Wheel Chair Control System" Iconic Research And Engineering Journals Volume 3 Issue 9 2020 Page 191-195
IEEE:
M.Vasantha Lakshmi , N. V. Srinivas , M. Lakshminadh , N. Sathish Kumar , M. Hareesh Teja
"Eyeball Movement Based Wheel Chair Control System" Iconic Research And Engineering Journals, 3(9)
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