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dc.contributor.authorLaack, Alexander van
dc.contributor.authorKirsch, Oliver
dc.contributor.authorTuzar, Gert-Dieter
dc.contributor.authorBlessing, Judy
dc.contributor.editorWeyers, Benjamin
dc.contributor.editorDittmar, Anke
dc.date.accessioned2017-06-17T20:19:11Z
dc.date.available2017-06-17T20:19:11Z
dc.date.issued2016
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/296
dc.description.abstractAs vehicles become more context sensitive with sensors providing detailed information about the exterior, understanding the context and state of the driver becomes crucial as well. This paper presents an approach to develop a system to recognize human gestures in the automotive cockpit. It provides an overview of the proposed technology and discusses the advantages and disadvantages of certain systems. Qualitative user research studies highlight recommendations for future implementations.
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 – Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleControlling vehicle functions with natural body language
dc.typeworkshop
dc.pubPlaceAachen
mci.document.qualitydigidocde_DE
mci.conference.sessiontitleAutomotive HMI
mci.conference.locationAachen
mci.conference.date4.-7. September 2016
dc.identifier.doi10.18420/muc2016-ws08-0001


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