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dc.contributor.advisorMcCallum, Simon
dc.contributor.advisorHjelsvold, Rune
dc.contributor.authorSomby, Christer Peltoperæ
dc.date.accessioned2018-06-21T14:00:29Z
dc.date.available2018-06-21T14:00:29Z
dc.date.created2018-06-01
dc.date.issued2018
dc.identifierntnudaim:20017
dc.identifier.urihttp://hdl.handle.net/11250/2502557
dc.description.abstractThe goal of this master project was to implement and run experiments on gesturerecognition using template matching and particle filtering in virtual reality. Exper-iments were done using the gesture recognition software written to test certainresearch questions. The main observation from the research is that users do nothave the same mindset when forming gestures and that users can indeed take sim-ple instructions and form gestures. Thresholds are not specific to users, but they arespecific to gestures, unless you improve the system as mentioned in future work.And finally, it is fully possible to create a real-time gesture recognition system thatworks quite well with high accuracy.
dc.languageeng
dc.publisherNTNU
dc.subjectApplied Computer Science
dc.titleGesture Recognition Using Template Matching in VR
dc.typeMaster thesis


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