DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS

Driver drowsiness is considered to be a very critical issue causing many fatal accidents, injuries and property damages. Therefore it has been an area of intensive research during recent years. In this study, a driver drowsiness detection system is proposed, that integrates Electrocardiogram (ECG...

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Main Author: ,, MUHAMMAD AWAIS
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21214 /
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/21214/1/2014-ELECTRICAL%20AND%20ENGINEERING-DRIVER%20DROWNSINESS%20DETECTION%20USING%20PHYSIOLOGICAL%20SIGNALS-%20MUHAMMAD%20AWAIS-%20MASTER%20OF%20SCIENCE.pdf
http://utpedia.utp.edu.my/21214/
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spelling utp-utpedia.212142021-09-16T12:37:57Z http://utpedia.utp.edu.my/21214/ DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS ,, MUHAMMAD AWAIS TK Electrical engineering. Electronics Nuclear engineering Driver drowsiness is considered to be a very critical issue causing many fatal accidents, injuries and property damages. Therefore it has been an area of intensive research during recent years. In this study, a driver drowsiness detection system is proposed, that integrates Electrocardiogram (ECG) and Electroencephalogram (EEG) features to detect drowsiness. The proposed system is based upon the idea to observe the physiological variations that occurs from alert to drowsy state. For physiological data acquisition, a driving simulator based study was conducted in a monotonous driving environment to get the driver drowsy naturally. Twenty two healthy university students voluntarily participated in the experiment after strict inclusion criteria. Features extracted from the EEG signal were absolute power, relative power, and coherence in alert and drowsy state. 2014-07 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21214/1/2014-ELECTRICAL%20AND%20ENGINEERING-DRIVER%20DROWNSINESS%20DETECTION%20USING%20PHYSIOLOGICAL%20SIGNALS-%20MUHAMMAD%20AWAIS-%20MASTER%20OF%20SCIENCE.pdf ,, MUHAMMAD AWAIS (2014) DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
,, MUHAMMAD AWAIS
DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
description Driver drowsiness is considered to be a very critical issue causing many fatal accidents, injuries and property damages. Therefore it has been an area of intensive research during recent years. In this study, a driver drowsiness detection system is proposed, that integrates Electrocardiogram (ECG) and Electroencephalogram (EEG) features to detect drowsiness. The proposed system is based upon the idea to observe the physiological variations that occurs from alert to drowsy state. For physiological data acquisition, a driving simulator based study was conducted in a monotonous driving environment to get the driver drowsy naturally. Twenty two healthy university students voluntarily participated in the experiment after strict inclusion criteria. Features extracted from the EEG signal were absolute power, relative power, and coherence in alert and drowsy state.
format Thesis
author ,, MUHAMMAD AWAIS
author_sort ,, MUHAMMAD AWAIS
title DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
title_short DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
title_full DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
title_fullStr DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
title_full_unstemmed DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS
title_sort driver drowsiness detection using physiological signals
publishDate 2014
url http://utpedia.utp.edu.my/21214/1/2014-ELECTRICAL%20AND%20ENGINEERING-DRIVER%20DROWNSINESS%20DETECTION%20USING%20PHYSIOLOGICAL%20SIGNALS-%20MUHAMMAD%20AWAIS-%20MASTER%20OF%20SCIENCE.pdf
http://utpedia.utp.edu.my/21214/
_version_ 1741195720134754304
score 11.62408

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