Paper Title

Eyeball motion and joystick controlled wheelchair with obstacle detection

Authors

Chandrakant Patil , Mosam sangole , Mahesh kakulte , Shubham bhayade

Keywords

Eye tracking technology, intelligent wheelchair, IR module, Accelerometer sensor, IR proximity sensor (Obstacle detection sensor).

Abstract

This project presents the ‘eyeball Motion Controlled Wheelchair using IR Sensors for the elderly and differently abled people. In this eye tracking-based technology, two Proximity Infrared (IR) sensor modules are mounted on an eye frame to trace the movement of the iris. Since, IR sensors detect only white objects; a unique sequence of digital bits is generated corresponding to each eye movement. These signals are then processed via a micro controller IC (AVR328) to control the motors of the wheelchair. The potential and efficiency of previously developed rehabilitation systems that use head motion, voice recognition variedly have also been explored in detail. They were found to be inconvenient as they served either limited usability or non-affordability. This design consists of very minimal numbers of instruments used in order to make it cost-effective and it is also assisted with accelerometer sensor for handling properly.

How To Cite

"Eyeball motion and joystick controlled wheelchair with obstacle detection", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.662 - 666, May-2018, Available :https://ijsdr.org/papers/IJSDR1805101.pdf

Issue

Volume 3 Issue 5, May-2018

Pages : 662 - 666

Other Publication Details

Paper Reg. ID: IJSDR_180199

Published Paper Id: IJSDR1805101

Downloads: 000347223

Research Area: Engineering

Country: nashik, maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805101

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805101

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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