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dc.contributor.authorChen, Limingen
dc.contributor.authorNugent, Chrisen
dc.contributor.authorWang, H.en
dc.date.accessioned2018-06-26T14:37:22Z
dc.date.available2018-06-26T14:37:22Z
dc.date.issued2012-06
dc.identifier.citationChen, L., Nugent, C.D., Wang, H. (2012) A Knowledge-Driven Approach to Activity Recognition in Smart Homes, IEEE Transactions on Knowledge and Data Engineering, 24(6), pp.961-974.en
dc.identifier.issn1041-4347
dc.identifier.urihttp://hdl.handle.net/2086/16298
dc.description.abstractThis paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyond the traditional data-centric methods for activity recognition in three ways. First, it makes extensive use of domain knowledge in the life cycle of activity recognition. Second, it uses ontologies for explicit context and activity modeling and representation. Third and finally, it exploits semantic reasoning and classification for activity inferencing, thus enabling both coarse-grained and fine-grained activity recognition. In this paper, we analyze the characteristics of smart homes and Activities of Daily Living (ADL) upon which we built both context and ADL ontologies. We present a generic system architecture for the proposed knowledge-driven approach and describe the underlying ontology-based recognition process. Special emphasis is placed on semantic subsumption reasoning algorithms for activity recognition. The proposed approach has been implemented in a function-rich software system, which was deployed in a smart home research laboratory. We evaluated the proposed approach and the developed system through extensive experiments involving a number of various ADL use scenarios. An average activity recognition rate of 94.44 percent was achieved and the average recognition runtime per recognition operation was measured as 2.5 seconds.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectContexten
dc.subjectContext modelingen
dc.subjectOntologiesen
dc.subjectData modelsen
dc.subjectCognitionen
dc.subjectMonitoringen
dc.subjectSemanticsen
dc.titleA Knowledge-Driven Approach to Activity Recognition in Smart Homesen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1109/tkde.2011.51
dc.researchgroupCIIRGen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2011-02-10en
dc.researchinstituteCyber Technology Institute (CTI)en


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