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

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.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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.

Item Type:Article
Impact Factor:cited By 0
Uncontrolled 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
Departments / MOR / COE:Research Institutes > Institute for Health Analytics
ID Code:21717
Deposited By: Ahmad Suhairi
Deposited On:01 Aug 2018 02:07
Last Modified:16 Nov 2018 08:25

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