@inproceedings{b5a2f16290cd4553a7ecb6ef72951c61,
title = "A Voice Controlled and Vision based Smart Wheel Chair for Paralyzed People",
abstract = "There are 144 million disabled people who use a wheel chair in 32 developed countries, accounting for 1.82 percent of the global population. Furthermore, lots of people suffer from diseases that cause them to be unable to produce coordinated movement in any of their limbs or even their heads. So using the Raspberry Pi, we devised a new way to provide paralyzed people with an eyeball-based and voice-controlled wheel chair access. The movement of the eye ball is tracked using the camera module, and the motor driver controls the direction of the wheel chair based on pupil location. The voice module receives user feedback through a cell phone. When an ultrasonic sensor senses an obstacle, the wheel chair will come to a halt. In the event of an emergency, people may send a message to their guardian through voice command via the message module.",
keywords = "Eye controlled, Message module, Motor driver, Raspberry pi, Smart wheelchair, Voice module",
author = "R. Priyatharshini and {Muthu Selvam}, S. and {Kausic Narayanan}, {M. N.} and Kumar, {M. Ajai}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd Global Conference for Advancement in Technology, GCAT 2021 ; Conference date: 01-10-2021 Through 03-10-2021",
year = "2021",
month = oct,
day = "1",
doi = "10.1109/GCAT52182.2021.9587726",
language = "English",
series = "2021 2nd Global Conference for Advancement in Technology, GCAT 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 2nd Global Conference for Advancement in Technology, GCAT 2021",
}