A blinking measurement method for driver drowsiness detection

Belhassen Akrout; Walid Mahdi

doi:10.1007/978-3-319-00969-8_64

A blinking measurement method for driver drowsiness detection

Belhassen Akrout, Walid Mahdi

University of Sfax

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Scopus citations

Abstract

The increasing number of accidents is attributed to several factors, among which is the lack of concentration caused by fatigue. In This paper, we describe the approach developed to detect the driver's drowsiness state from a video-based system to alert him and also reduce the number of accidents. Our approach uses a noninvasive method which excludes any human related elements. The latter calculates geometric descriptors. We analyze the signal extracted from the previous step by combining the two methods EMD (Empirical Mode Decomposition) and BP (Band Power). This analysis is confirmed by the SVM (Support Vector Machine) to classify the state of alertness of the driver.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
Publisher	Springer Verlag
Pages	651-660
Number of pages	10
ISBN (Print)	9783319009681
DOIs	https://doi.org/10.1007/978-3-319-00969-8_64
State	Published - 2013
Externally published	Yes

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	226
ISSN (Print)	2194-5357

UN SDGs

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10.1007/978-3-319-00969-8_64

Cite this

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abstract = "The increasing number of accidents is attributed to several factors, among which is the lack of concentration caused by fatigue. In This paper, we describe the approach developed to detect the driver's drowsiness state from a video-based system to alert him and also reduce the number of accidents. Our approach uses a noninvasive method which excludes any human related elements. The latter calculates geometric descriptors. We analyze the signal extracted from the previous step by combining the two methods EMD (Empirical Mode Decomposition) and BP (Band Power). This analysis is confirmed by the SVM (Support Vector Machine) to classify the state of alertness of the driver.",

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A blinking measurement method for driver drowsiness detection. / Akrout, Belhassen; Mahdi, Walid.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Springer Verlag, 2013. p. 651-660 (Advances in Intelligent Systems and Computing; Vol. 226).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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A blinking measurement method for driver drowsiness detection

Abstract

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