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dc.contributor.authorŠtork, Milan
dc.contributor.authorSkála, Jiří
dc.contributor.authorWeissar, Petr
dc.contributor.authorHolota, Radek
dc.contributor.authorKubík, Zdeněk
dc.date.accessioned2019-09-25T06:41:45Z-
dc.date.available2019-09-25T06:41:45Z-
dc.date.issued2015
dc.identifier.citation2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.239-244.en
dc.identifier.isbn978-80-261-0385-1 (Print)
dc.identifier.isbn978-80-261-0386-8 (Online)
dc.identifier.issn1803-7232 (Print)
dc.identifier.issn1805-9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35130
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© University of West Bohemiaen
dc.subjectvozidlacs
dc.subjectvizualizacecs
dc.subjectbiomedicínské měřenícs
dc.subjectúnavacs
dc.subjectextrakce funkcícs
dc.subjectkolocs
dc.subjectmonitoringcs
dc.titleVarious approaches to driver fatigue detection: A reviewen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedDrowsy 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.en
dc.subject.translatedvehiclesen
dc.subject.translatedvisualisationen
dc.subject.translatedbiomedical measurementen
dc.subject.translatedfatigueen
dc.subject.translatedfeature extractionen
dc.subject.translatedwheelsen
dc.subject.translatedmonitoringen
dc.type.statusPeer-revieweden
Appears in Collections:Články / Articles (KAE)
Applied Electronics 2015
Applied Electronics 2015

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