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2017 | OriginalPaper | Chapter

Implementation of Driver Drowsiness Detection Application in Mauritius

Authors : Karishma Ramodhine, Shireen Panchoo

Published in: Emerging Trends in Electrical, Electronic and Communications Engineering

Publisher: Springer International Publishing

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Abstract

Driver drowsiness has become a major cause of traffic accidents. As a matter of fact, studies show that around one quarter of all serious motorway accidents are attributable to sleepy driver. One of the common ways to detect sleepy driver is by tracking the eye region since the major symptoms of fatigue such as frequent eye blinks and difficulty keeping eyes open, are visible through the driver’s eyes. Hence, it has become a necessity to proffer an investigation about the development of a mobile application system to detect the driver’s tiredness through Real-Time Eye. Naïve Bayes classifier algorithm and an alarm system have been implemented to proactively predict if there is any sign of drowsiness symptoms. The assessment of a population of 25 people were assessed which shows young people are mostly vulnerable to falling asleep on the wheel and that the notification alarm has also proved to be effective.

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Metadata
Title
Implementation of Driver Drowsiness Detection Application in Mauritius
Authors
Karishma Ramodhine
Shireen Panchoo
Copyright Year
2017
Book
Emerging Trends in Electrical, Electronic and Communications Engineering

Print ISBN: 978-3-319-52170-1

Electronic ISBN: 978-3-319-52171-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52171-8_29