TY  - CONF
AV  - none
PB  - IEEE Computer Society
CY  - Kuala Lumpur
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350430&doi=10.1109%2fICIAS.2014.6869485&partnerID=40&md5=db89a6ea0cb7c3d77d640b244d88b995
N1  - 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
A1  - Awais, M.
A1  - Badruddin, N.
A1  - Drieberg, M.
ID  - scholars4920
Y1  - 2014///
KW  - Frequency bands; Maps; Time domain analysis
KW  -  Continuous observation; Driver drowsiness; Drowsiness; Electroencephalographic signals; Physiological signals; Relative band power; Spectral variation; Time-domain signal
KW  -  Electroencephalography
TI  - A simulator based study to evaluate driver drowsiness using electroencephalogram
N2  - 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.
SN  - 9781479946549
ER  -