Abstract: Technology has seen major change in last decade, because of rapid growth in the automation sector. We have to provide access to technology to all sorts of people. It is observed that healthy normal people are easily able to take good advantage of upcoming technology. But it is the poor, the disabled who are not able to take advantage of the upcoming technologies. So it is our motive to provide access to new technologies to the poor, handicapped, disabled etc. It can be done by introducing technologies into daily objects they use or work with. So we decided to introduce a new technological development which is used by handicap person. Designing a Motion Controlled wheelchair for handicap person is our major objective. The head movement of the user along the x-y axis will now drive the wheelchair. We are controlling the wheelchair movements using Microcontroller Atmega8 as it is easily available and very popular in the market. The primary sensor we are going to use is the accelerometer who’s output will be the microcontroller’s input which will drive the motor-driver circuit so as to drive the motors to move the wheelchair. Various methods have been proposed for allowing disabled persons, including a quadriplegic to control a motorized wheelchair. There are proposed methodologies in recent times which involve various gestures like hand gesture, accelerometer & voice controlled, EEG based system etc. A. Head Gesture In this paper, they utilized the acceleration data to recognize the hand gestures and then transfer the gesture information which indicates certain motion commands into the wheelchair's smooth motions. It's a trial method to realize the natural interaction for the older and handicapped with the wheelchair through the hand gestures [4]. B. Accelerometer and Voice Controlled This work describes a wheelchair for physically disabled people & developed it using voice recognition kit and MEMS motion sensor. A user dependent voice recognition system had been integrated in the wheelchair. In this way they had obtained a wheelchair which can be driven using both motion and voice commands [5]. C. EEG System This system proposes two control modes: Use of the gyroscope Emotive EPOC headset in order to detect head movements.
Title: Microcontroller Based Wheelchair
Author: BHAURAO PATIL, DISHA THARVAL, RAJENDRA PAWAR, ADITYA DATAR, AKANKSHA BHARGAWA
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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