A simulator based study to evaluate driver drowsiness using electroencephalogram

Awais, Muhammad ORCID: https://orcid.org/0000-0001-6421-9245, Badruddin, Nasreen and Drieberg, Micheal (2014) A simulator based study to evaluate driver drowsiness using electroencephalogram. In: 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS). The Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781479946532

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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.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Depositing User:	LivePure Connector
Date Deposited:	17 Oct 2023 00:49
Last Modified:	10 Dec 2024 01:13
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93338
DOI:	10.1109/icias.2014.6869485

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