Title: Various approaches to driver fatigue detection: A review
Authors: Štork, Milan
Skála, Jiří
Weissar, Petr
Holota, Radek
Kubík, Zdeněk
Citation: 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.239-244.
Issue Date: 2015
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/35130
ISBN: 978-80-261-0385-1 (Print)
978-80-261-0386-8 (Online)
ISSN: 1803-7232 (Print)
1805-9597 (Online)
Keywords: vozidla;vizualizace;biomedicínské měření;únava;extrakce funkcí;kolo;monitoring
Keywords in different language: vehicles;visualisation;biomedical measurement;fatigue;feature extraction;wheels;monitoring
Abstract in different language: Drowsy driving is considered one of the most serious causes of fatal traffic accidents, especially for long distance drivers who struggle significantly during monotonous driving conditions. As a result, various types of warning systems have been proposed among other preventive measure against drowsy driving. These systems issue a warning upon detecting a decline in driving performance as indicated by a significant lane departure or fluctuation in headway distance, or upon detecting unsafe driver behavior such as prolonged eye closure time, or increased head sway, among other signs. Because these systems usually detect such behavior after drivers have already become drowsy, they may not provide sufficient active safety performance, and may not contribute significantly in decreasing related fatalities. Therefore, there is a need to pursue alternative ways for an earlier detection of drowsy driving. The main contribution of this work is the development of a new method for appropriate prediction of drowsy driving. The proposed method combines different approach... e.g. seismocardiography, adaptive driver's model etc.
Rights: © University of West Bohemia
Appears in Collections:Články / Articles (KAE)
Applied Electronics 2015
Applied Electronics 2015

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