eprintid: 4920
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/49/20
datestamp: 2023-11-09 16:16:37
lastmod: 2023-11-09 16:16:37
status_changed: 2023-11-09 15:59:54
type: conference_item
metadata_visibility: show
creators_name: Awais, M.
creators_name: Badruddin, N.
creators_name: Drieberg, M.
title: A simulator based study to evaluate driver drowsiness using electroencephalogram
ispublished: pub
keywords: Frequency bands; Maps; Time domain analysis, Continuous observation; Driver drowsiness; Drowsiness; Electroencephalographic signals; Physiological signals; Relative band power; Spectral variation; Time-domain signal, Electroencephalography
note: cited By 4; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
abstract: Preventing accidents due to drowsiness at the wheel has been an area of extensive research in the past few years because of the severity of the problem. For this purpose, continuous observation of physiological signals of the driver provides the possibility of detecting drowsiness. A simulator based study is conducted to evaluate driver drowsiness using electroencephalographic (EEG) signal. Twenty two healthy subjects voluntarily participated in the experiment. Relative power of each EEG frequency band is computed by taking the FFT of time domain signal using Welch's method to observe the spectral variation from alert to drowsy state. Topographic maps are used to visualize the spectral changes that occur in each power band. Results show that the relative power of theta and alpha bands exhibit significant changes in drowsy state and these changes are more dominant in the occipital and parietal regions of the brain. © 2014 IEEE.
date: 2014
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350430&doi=10.1109%2fICIAS.2014.6869485&partnerID=40&md5=db89a6ea0cb7c3d77d640b244d88b995
id_number: 10.1109/ICIAS.2014.6869485
full_text_status: none
publication: 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781479946549
citation:   Awais, M. and Badruddin, N. and Drieberg, M.  (2014) A simulator based study to evaluate driver drowsiness using electroencephalogram.  In: UNSPECIFIED.