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dc.contributor.authorSanchez, Veralia Gabriela
dc.contributor.authorLysaker, Ola Marius
dc.contributor.authorSkeie, Nils-Olav
dc.date.accessioned2020-04-22T07:52:29Z
dc.date.available2020-04-22T07:52:29Z
dc.date.created2019-11-18T17:53:17Z
dc.date.issued2019
dc.identifier.citationPattern Recognition Letters. 2019, .en_US
dc.identifier.issn0167-8655
dc.identifier.urihttps://hdl.handle.net/11250/2651989
dc.description.abstractHuman behaviour modelling for welfare technology is the task of recognizing a person's behaviour patterns in order to construct a safe environment for that person. It is useful in building environments for older adults or to help any person in his or her daily life. The aim of this study is to model the behaviour of a person living in a smart house environment in order to detect abnormal behaviour and assist the person if help is needed. Hidden Markov models, location of the person in the house, posture of the person, and time frame rules are implemented using a real-world, open-source dataset for training and testing. The proposed model presented in this study models the normal behaviour of a person and detects anomalies in the usual pattern. The model shows good results in the identification of abnormal behaviour when tested.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHuman behaviour modelling for welfare technology using hidden Markov modelsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber9en_US
dc.source.journalPattern Recognition Lettersen_US
dc.identifier.doi10.1016/j.patrec.2019.09.022
dc.identifier.cristin1749064
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal