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Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation

by Karanraj Churiwala, Raoul Lopes, Aditya Shah, Neepa Shah
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 6
Year of Publication: 2012
Authors: Karanraj Churiwala, Raoul Lopes, Aditya Shah, Neepa Shah
10.5120/ijais12-450368

Karanraj Churiwala, Raoul Lopes, Aditya Shah, Neepa Shah . Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation. International Journal of Applied Information Systems. 2, 6 ( May 2012), 45-49. DOI=10.5120/ijais12-450368

@article{ 10.5120/ijais12-450368,
author = { Karanraj Churiwala, Raoul Lopes, Aditya Shah, Neepa Shah },
title = { Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2012 },
volume = { 2 },
number = { 6 },
month = { May },
year = { 2012 },
issn = { 2249-0868 },
pages = { 45-49 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number6/172-0368/ },
doi = { 10.5120/ijais12-450368 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:43:45.647034+05:30
%A Karanraj Churiwala
%A Raoul Lopes
%A Aditya Shah
%A Neepa Shah
%T Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 6
%P 45-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Research shows that driver fatigue is one of the major reasons of road accidents. In this paper, we discuss our system which can be used to measure the level of alertness of the driver based on some critical physiological parameters. The system will analyze these parameters and accordingly issue an audio warning to the driver in case significant drowsiness is detected. The system is a software prototype of this system in vehicles, where images that are captured will be processed using image processing techniques and accordingly issue warning. The overall goal of the system is to reduce the number of accidents, and therefore improve the worsening road conditions.

References
  1. The Financial Express:- India suffers from the highest number of road accidents: WHO http://www. financialexpress. com/news/india-suffers-from-the-highest-number-of-road-accidents-who/786419/
  2. The Royal Society for Prevention of Accidents, "Driver Fatigue and Road Accidents, A Literature Review and Position Paper, February 2001"
  3. Mercedes-Benz TecDay Special Feature: Attention Assist, Blind Spot Assist And Distronic Plus / Brake Assist PLUS: http://www. emercedesbenz. com/Nov08/12_001506_Mercedes_Benz_TecDay_Special_Feature_Attention_Assist_Blind_Spot_Assist_And_Distronic_Plus_Brake_Assist_Plus. html
  4. Volvo Driver Alert Control: http://www. volvocars. com/us/top/yourvolvo/volvoownersinstructionalvideos/Pages/Volvo-DriverAlertControl. aspx
  5. Ford's wake-up call for Europe's Sleepy Drivers: http://media. ford. com/article_print. cfm?article_id=34562
  6. Danghui Liu, Peng Sun, YanQing Xiao, Yunxia Yin, "Drowsiness Detection Based on Eyelid Movement", Space Equipment Department, Beijing, China.
  7. Shabnam Abtahi, Behnoosh Hariri, Shervin Shirmohammadi, "Driver Drowsiness Monitoring Based on Yawning Detection", Distributed Collaborative Virtual Environment Research Laboratory, University of Ottawa, Canada
  8. Phillip Ian Wilson, Dr. John Fernandez,"Facial Feature Detection using Haar Classifiers", Texas A&M University, Corpus Christi.
  9. OpenCV: http://opencv. willowgarage. com/wiki/
Index Terms

Computer Science
Information Sciences

Keywords

Drowsiness Face Detection Eye Blink Rate Yawn Detection Head Rotation

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