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dc.contributor.advisorKofod-Petersen, Andersnb_NO
dc.contributor.authorFosstveit, Håvar Aambønb_NO
dc.date.accessioned2014-12-19T13:38:34Z
dc.date.available2014-12-19T13:38:34Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier565852nb_NO
dc.identifierntnudaim:6187nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/252880
dc.description.abstractYou can see sliding doors everywhere, be it at the grocery store or the hospital. These doors are today mostly based on naive, motion sensing, and hence not very intelligent in deciding to open or not. I propose a solution by replacing the traditional sensor with the more sophisticated Microsoft Kinect depth mapping sensor allowing for skeletal tracking and feature extraction. I have applied hidden markov models to the behavioural features to understand the human intentions. Combined with a few simple rules, this solution proved to be accurate in 4 out of 5 times in understanding the user's intention in a controlled laboratory test.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:6187no_NO
dc.subjectMTDT datateknikkno_NO
dc.subjectIntelligente systemerno_NO
dc.titleIntelligent Sliding Doorsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber64nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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