Advanced EEG Processing for the Detection of Drowsiness in Drivers

Griet Goovaerts, Ad Denissen, Milica Milosevic, Geert van Boxtel, Sabine Van Huffel

2014

Abstract

Drowsiness is a serious problem for drivers which causes many accidents every day. It is estimated that drowsiness is the cause of four deaths and 100 injuries per day in the United States. In this paper two methods have been developed to detect drowsiness based on features of ocular artifacts in EEG signals. The ocular artifacts are derived from the EEG signals by using Canonical Correlation Analysis (BSS-CCA). Wavelet transforms are used to automatically select components containing eye blinks. Sixteen features are then calculated from the eye blink and used for drowsiness detection. The first method is based on linear regression, the second on fuzzy detection. For the first method, the drowsiness level is correctly detected in 72% of the epochs. The second method uses fuzzy detection and detects the drowsiness correctly in 65% of the epochs. The best results are obtained when using one single eye blink feature.

Paper Citation

in Harvard Style

Goovaerts G., Denissen A., Milosevic M., van Boxtel G. and Van Huffel S. (2014). Advanced EEG Processing for the Detection of Drowsiness in Drivers . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 205-212. DOI: 10.5220/0004800102050212

in Bibtex Style

@conference{biosignals14,
author={Griet Goovaerts and Ad Denissen and Milica Milosevic and Geert van Boxtel and Sabine Van Huffel},
title={Advanced EEG Processing for the Detection of Drowsiness in Drivers},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={205-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004800102050212},
isbn={978-989-758-011-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Advanced EEG Processing for the Detection of Drowsiness in Drivers
SN - 978-989-758-011-6
AU - Goovaerts G.
AU - Denissen A.
AU - Milosevic M.
AU - van Boxtel G.
AU - Van Huffel S.
PY - 2014
SP - 205
EP - 212
DO - 10.5220/0004800102050212