A review of ECG data acquisition for driver drowsiness detection

Nor Shahrudin, Nur Shahirah and Sidek, Khairul Azami (2020) A review of ECG data acquisition for driver drowsiness detection. COMPUSOFT: An International Journal of Advanced Computer Technology, 9 (7). pp. 3749-3754. ISSN 2320-0790

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Abstract

Over the years, cases related to road accidents and road fatalities keeps increasing. Both cases have potential to put life of a person at risk. One of the factors that leads to accidents are drowsiness. However, several lives can be saved with accurate and reliable drowsiness detection system. Thus, many researchers take this issue seriously by developing drowsiness detection mechanism in reducing cases related to driver drowsiness. As drowsiness is strongly correlated with the heart activities,hence bio-signal is the most preferable indicator to measure the drowsiness level. Reflection of electrical signal in the human body known as Electrocardiogram (ECG) are widely used in monitoring human action and reaction to prevent the occurrence of these devastating incidents. Thus, this paper will review the drowsiness detection technique focusing in ECG data acquisition for driver drowsiness detection. As the first step plays an important role for the whole system, this paper discussed on some open issues in drowsiness mechanism. We hope that this review will support and give some ideas to the future researchers in increasing the reliability of ECG measures towards driver drowsiness detection in reducing accident cases.

Item Type:	Article (Journal)
Additional Information:	4698/81977
Uncontrolled Keywords:	Drowsiness, electrocardiogram, data acquisition, bio-signal, steering wheel, technology
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	05 Aug 2020 15:18
Last Modified:	05 Aug 2020 15:18
URI:	http://irep.iium.edu.my/id/eprint/81977

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