Eye-Controlled Wheelchair by Eye Coordinates Extraction

This project deals with a motorized wheelchair designed for those who cannot move their limbs. The project aims to motorize a wheelchair, control the wheelchair's speed, interface a camera module to micro-controller and assign controls to the wheelchair corresponding to the movement of eyeballs. Here the motion of the wheelchair is based on tracking of eyeballs. The camera captures the eyeball movement and is correspondingly coded, so that the wheelchair is moved. This method replaces the joystick mechanism, which cannot be used by paralyzed people. First, the code is tested using Python language using the Open-CV library on Anaconda IDE. Later, it will be tested on the Raspberry Pi module

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-05
DOI
https://doi.org/10.64388/irev9i8-1714539
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
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article

Eye-Controlled Wheelchair by Eye Coordinates Extraction

Saranya R, Adarsh Ajayan
Iconic Research and Engineering Journals
Gaze Tracking and Assistive Technology
article

Eye-Controlled Wheelchair by Eye Coordinates Extraction

Saranya R, Adarsh Ajayan
article en

Abstract

This project deals with a motorized wheelchair designed for those who cannot move their limbs. The project aims to motorize a wheelchair, control the wheelchair's speed, interface a camera module to micro-controller and assign controls to the wheelchair corresponding to the movement of eyeballs. Here the motion of the wheelchair is based on tracking of eyeballs. The camera captures the eyeball movement and is correspondingly coded, so that the wheelchair is moved. This method replaces the joystick mechanism, which cannot be used by paralyzed people. First, the code is tested using Python language using the Open-CV library on Anaconda IDE. Later, it will be tested on the Raspberry Pi module

Iconic Research and Engineering JournalsVol. 9(8)
Openalex Percentile: Top 40%
Gaze Tracking and Assistive Technology
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