eprintid: 10459
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/04/59
datestamp: 2023-11-09 16:37:04
lastmod: 2023-11-09 16:37:04
status_changed: 2023-11-09 16:31:27
type: article
metadata_visibility: show
creators_name: Balandong, R.P.
creators_name: Ahmad, R.F.
creators_name: Mohamad Saad, M.N.
creators_name: Malik, A.S.
title: A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
ispublished: pub
keywords: Accident prevention; Accidents; Brain; Brain computer interface; Classification (of information); Electric discharges; Electric power measurement; Electrodes; Electrophysiology; Electrostatic devices; Electrostatic discharge; Fatigue of materials; Interfaces (computer); Vehicles, circadian; countermeasure; homeostasis; Multi-modal approach; Sleep; sleepiness, Electroencephalography
note: cited By 95
abstract: 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. © 2013 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042864044&doi=10.1109%2fACCESS.2018.2811723&partnerID=40&md5=9db3dd7392e683802732c7b80f4665b3
id_number: 10.1109/ACCESS.2018.2811723
full_text_status: none
publication: IEEE Access
volume: 6
pagerange: 22908-22919
refereed: TRUE
issn: 21693536
citation:   Balandong, R.P. and Ahmad, R.F. and Mohamad Saad, M.N. and Malik, A.S.  (2018) A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver.  IEEE Access, 6.  pp. 22908-22919.  ISSN 21693536