Activity recognition using temporal evidence theory

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dc.contributor.author McKeever, Susan
dc.contributor.author Ye, Juan
dc.contributor.author Coyle, Lorcan
dc.contributor.author Bleakley, Chris
dc.contributor.author Dobson, Simon
dc.date.accessioned 2011-05-24T11:15:56Z
dc.date.available 2011-05-24T11:15:56Z
dc.date.copyright 2010 IOS Press and the authors. en
dc.date.issued 2010
dc.identifier.citation Journal of Ambient Intelligence and Smart Environments en
dc.identifier.issn 1876-1364 (Print)
dc.identifier.issn 1876-1372 (Online)
dc.identifier.uri http://hdl.handle.net/10197/2947
dc.description.abstract The ability to identify the behavior of people in a home is at the core of Smart Home functionality. Such environments are equipped with sensors that unobtrusively capture information about the occupants. Reasoning mechanisms transform the technical, frequently noisy data of sensors into meaningful interpretations of occupant activities. Time is a natural human way to reason about activities. People's activities in the home often have an identifiable routine; activities place at distinct times throughout the day and last for predicable lengths of time. However, the inclusion of temporal information is still limited in the domain of activity recognition. Evidence theory is gaining increasing interest in the field of activity recognition, and is suited to the incorporation of time related domain knowledge into the reasoning process. In this paper, an evidential reasoning framework that incorporates temporal knowledge is presented. We evaluate the effectiveness of the framework using a third party published smart home dataset. An improvement in activity recognition of 70% is achieved when time patterns and activity durations are included in activity recognition. We also compare our approach with Naïve Bayes classifier and J48 Decision Tree, with temporal evidence theory achieving higher accuracies than both classifiers. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 1206772 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IOS Press en
dc.relation.requires CLARITY Research Collection en
dc.rights All rights reserved en
dc.subject Smart home dataset en
dc.subject Time en
dc.subject Context reasoning en
dc.subject Activity recognition en
dc.subject Evidence theory en
dc.subject Dempster-shafer theory en
dc.subject Temporal en
dc.subject.lcsh Case-based reasoning en
dc.subject.lcsh Human activity recognition en
dc.subject.lcsh Dempster-Shafer theory en
dc.subject.lcsh Home automation en
dc.title Activity recognition using temporal evidence theory en
dc.type Journal Article en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://dx.doi.org/10.3233/AIS-2010-0071 en
dc.status Peer reviewed en
dc.identifier.volume 2 en
dc.identifier.issue 3 en
dc.identifier.startpage 253 en
dc.identifier.endpage 269 en
dc.identifier.doi 10.3233/AIS-2010-0071
dc.neeo.contributor McKeever|Susan|aut| en
dc.neeo.contributor Ye|Juan|aut| en
dc.neeo.contributor Coyle|Lorcan|aut| en
dc.neeo.contributor Bleakley|Chris|aut| en
dc.neeo.contributor Dobson|Simon|aut| en


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