A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver

Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of ESDS research are to estimate and produce a timely warning to prevent declines in performance efficiency and to...

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Main Authors:	Rodney Petrus Balandong, Rana Fayyaz Ahmad, Mohamad Naufal Mohamad Saad, Aamir Saeed Malik
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Sleepiness fatigue countermeasure accident prevention alertness monitoring classification
Online Access:	https://ieeexplore.ieee.org/document/8306377/

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spelling	doaj-a844157ba2904dd38fab892b2e89ecd12021-03-29T20:44:07ZengIEEEIEEE Access2169-35362018-01-016229082291910.1109/ACCESS.2018.28117238306377A Review on EEG-Based Automatic Sleepiness Detection Systems for DriverRodney Petrus Balandong0https://orcid.org/0000-0003-2567-9745Rana Fayyaz Ahmad1https://orcid.org/0000-0001-8197-8403Mohamad Naufal Mohamad Saad2Aamir Saeed Malik3Department of Electrical and Electronics Engineering, Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Electrical and Electronics Engineering, Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Electrical and Electronics Engineering, Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Electrical and Electronics Engineering, Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaElectroencephalography-based sleepiness detection system (ESDS) is a brain-computer interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of ESDS research are to estimate and produce a timely warning to prevent declines in performance efficiency and to inhibit sleepiness-related accidents. We first, review different types of measures used in sleepiness detection systems (SDSs) and presents their advantages and drawbacks. Second, the review includes several techniques proposed in ESDSs to optimize the number of EEG electrodes, increasing the sleepiness level resolution and incorporation of circadian information. Finally, the review discusses future direction that can be considered in the development of ESDS.https://ieeexplore.ieee.org/document/8306377/Sleepinessfatiguecountermeasureaccident preventionalertness monitoringclassification
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Rodney Petrus Balandong Rana Fayyaz Ahmad Mohamad Naufal Mohamad Saad Aamir Saeed Malik
spellingShingle	Rodney Petrus Balandong Rana Fayyaz Ahmad Mohamad Naufal Mohamad Saad Aamir Saeed Malik A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver IEEE Access Sleepiness fatigue countermeasure accident prevention alertness monitoring classification
author_facet	Rodney Petrus Balandong Rana Fayyaz Ahmad Mohamad Naufal Mohamad Saad Aamir Saeed Malik
author_sort	Rodney Petrus Balandong
title	A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
title_short	A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
title_full	A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
title_fullStr	A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
title_full_unstemmed	A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
title_sort	review on eeg-based automatic sleepiness detection systems for driver
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2018-01-01
description	Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of ESDS research are to estimate and produce a timely warning to prevent declines in performance efficiency and to inhibit sleepiness-related accidents. We first, review different types of measures used in sleepiness detection systems (SDSs) and presents their advantages and drawbacks. Second, the review includes several techniques proposed in ESDSs to optimize the number of EEG electrodes, increasing the sleepiness level resolution and incorporation of circadian information. Finally, the review discusses future direction that can be considered in the development of ESDS.
topic	Sleepiness fatigue countermeasure accident prevention alertness monitoring classification
url	https://ieeexplore.ieee.org/document/8306377/
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A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver

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