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dc.contributor.authorSynnott, J.en
dc.contributor.authorChen, Limingen
dc.contributor.authorNugent, Chrisen
dc.contributor.authorMoore, G.en
dc.date.accessioned2018-03-08T10:29:49Z
dc.date.available2018-03-08T10:29:49Z
dc.date.issued2011-08-30
dc.identifier.citationSynnott, J., Chen, L., Nugent, C.D., Moore, G. (2011) WiiPD - An Approach for the Objective Home Assessment of Parkinson's Disease. In: the Proc. of the 33rd International IEEE Conference on Engineering in Medicine and Biology Society EMBS, Boston, August - September 2011, pp.2388-2391.en
dc.identifier.isbn9781424441211
dc.identifier.urihttp://hdl.handle.net/2086/15390
dc.description.abstractActivity modelling and discovery plays a critical role in smart home based assisted living. Existing approaches to pattern recognition using data-intensive analysis suffers from various drawbacks. To address these shortcomings, this paper introduces a novel ontology-based approach to activity modelling, activity discovery and evolution. In this approach, activity modelling is undertaken through ontological engineering by leveraging domain knowledge and heuristics. The generated activity models evolve from the initial “seed” activity models through continuous activity discovery and learning. Activity discovery is performed through ontological reasoning. The paper describes the approach in the context of smart home with special emphases placed on activity discovery algorithms and evolution mechanism. The approach has been implemented in a feature-rich assistive living system in which new daily activities can be detected and further used to evolve the underlying activity models.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectOntologiesen
dc.subjectAdaptation modelsen
dc.subjectPattern recognitionen
dc.subjectCognitionen
dc.subjectSmart homesen
dc.subjectHumansen
dc.titleWiiPD - An Approach for the Objective Home Assessment of Parkinson's Diseaseen
dc.typeConferenceen
dc.identifier.doihttps://doi.org/10.1109/iembs.2011.6090666
dc.researchgroupCIIRGen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2011-08-30en
dc.researchinstituteCyber Technology Institute (CTI)en


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