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dc.contributor.authorBeier, Felix
dc.contributor.authorBaumann, Stephan
dc.contributor.authorBetz, Heiko
dc.contributor.authorHagedorn, Stefan
dc.contributor.authorWagner, Timo
dc.contributor.editorMarkl, Volker
dc.contributor.editorSaake, Gunter
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHackenbroich, Gregor
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorHärder, Theo
dc.contributor.editorKöppen, Veit
dc.date.accessioned2018-10-24T09:56:26Z
dc.date.available2018-10-24T09:56:26Z
dc.date.issued2013
dc.identifier.isbn978-3-88579-608-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/17345
dc.description.abstractMotion sensing devices like Microsoft's Kinect offer an alternative to traditional computer input devices like keyboards and mouses. Graph databases can naturally make use of gesture control as traversing graphs can easily be described by swiping or pointing gestures. In our demo we traverse the Internet Movie Database (IMDB) using a Kinect interface with the control logic in our data stream engine AnduIN. The gesture detection is done based on AnduIN's complex event processing functionality.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW) 2047
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-214
dc.titleGesture-based navigation in graph databases - the kevin bacon gameen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages511-514
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationMagdeburg
mci.conference.date13.-15. März 2013


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