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Driver Activity Recognition from Sitting Postures

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dc.contributor.authorRiener, Andreas
dc.contributor.authorFerscha, Alois
dc.contributor.editorThilo Paul-Stuevede_DE
dc.date.accessioned2017-11-22T14:51:27Z
dc.date.available2017-11-22T14:51:27Z
dc.date.issued2007
dc.description.abstractAutomatically adapting vehicle settings due to activities of the driver has crucial impact to safety in road traffic, intelligent driver assistance and vehicle control systems as well as driving comfort. Distraction continues to increase by reason of technology growth (classical office- and home electronics like entertainment and navigation systems, televisions, Email and internet-clients, multimedia player, on-board computers, multi-function dashboards, game consoles, etc. are now built-in in cars). We study the possibilities of identifying typical drivers activities inside the car by evaluating pressure patterns collected from force sensor arrays, invisibly and unobtrusively integrated into the fabric of the driver seat and backrest. Along this key task, algorithms are developed for sitting posture recognition and empirical studies are performed to assess the reliability of activity recognition from sitting postures.de_DE
dc.identifier.isbn978-3-86068-319-4en_US
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/7477
dc.language.isoende_DE
dc.publisherVerlag der Bauhaus-Universität Weimarde_DE
dc.relation.ispartofMensch & Computer 2007 Workshopbandde_DE
dc.titleDriver Activity Recognition from Sitting Posturesde_DE
dc.typeText/Conference Paperde_DE
gi.citation.endPage62
gi.citation.publisherPlaceWeimarde_DE
gi.citation.startPage55de_DE
gi.conference.sessiontitleAutomotive User Interfacesde_DE
gi.document.qualitydigidocde_DE

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