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A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data

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dc.contributor.authorKundinger, Thomas
dc.contributor.authorRiener, Andreas
dc.contributor.authorSofra, Nikoletta
dc.contributor.editorBurghardt, Manuel
dc.contributor.editorWimmer, Raphael
dc.contributor.editorWolff, Christian
dc.contributor.editorWomser-Hacker, Christa
dc.date.accessioned2017-08-09T20:56:45Z
dc.date.available2017-08-09T20:56:45Z
dc.date.issued2017
dc.description.abstractDriver drowsiness is one of the main causes of fatal traffic accidents. Current driver assistance systems often use parameters related to driving behavior for detecting drowsiness. However, the ongoing automation of the driving task diminishes the availability of driving behavior parameters, therefore reducing the scope of such detection methods. The driver’s role as the sole operator changes; the driver must supplement, supervise or serve as a fallback part of a highly assisted/automated system. Reliably monitoring the driver’s state, especially the risk factor drowsiness, becomes more and more important for future automated driver systems. Numerous approaches, utilizing vehicle-based, behavioral and physiological based metrics, exist. This paper summarizes and discusses prevailing research questions related to drowsiness modeling and detection within the automotive context. Focus is placed on the utilization of driver vital data measured by wearable and other in-car sensors.en
dc.identifier.doi10.18420/muc2017-ws09-0307
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/3210
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2017 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectDriver Drowsiness Detection
dc.subjectDriver Monitoring
dc.subjectWearables
dc.subjectAutomated Driving
dc.subjectAdvanced Driver Assistance Systems
dc.titleA Robust Drowsiness Detection Method based on Vehicle and Driver Vital Dataen
dc.typeText/Conference Paper
gi.citation.publisherPlaceRegensburg
gi.conference.date10.-13. September 2017
gi.conference.locationRegensburg
gi.conference.sessiontitleMCI-WS09: 6th Workshop “Automotive HMI”: Vehicles in the Transition from Manual to Automated Driving
gi.document.qualitydigidoc

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