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dc.contributor.authorAzkune, Gorkaen
dc.contributor.authorAlmeida, A.en
dc.contributor.authorLopez-de-Ipina, Diegoen
dc.contributor.authorChen, Limingen
dc.date.accessioned2017-03-15T15:09:30Z
dc.date.available2017-03-15T15:09:30Z
dc.date.issued2015-04-08
dc.identifier.citationAzkune, G. et al. (2015) Combining Users' Activity Survey and Simulators to Evaluate Human Activity Recognition Systems. Sensors, 15 (4), pp. 8192-8213en
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/2086/13615
dc.descriptionOpen Access articleen
dc.description.abstractEvaluating human activity recognition systems usually implies following expensive and time-consuming methodologies,where experiments with humans are run with the consequent ethical and legal issues. We propose a novel evaluation methodology to overcome the enumerated problems, which is based on surveys for users and a synthetic dataset generator tool. Surveys allow capturing how different users perform activities of daily living, while the synthetic dataset generator is used to create properly labelled activity datasets modelled with the information extracted from surveys. Important aspects, such as sensor noise, varying time lapses and user erratic behaviour, can also be simulated using the tool. The proposed methodology is shown to have very important advantages that allow researchers to carry out their work more efficiently. To evaluate the approach, a syntheticdatasetgeneratedfollowingtheproposedmethodologyiscomparedtoarealdataset computing the similarity between sensor occurrence frequencies. It is concluded that the similarity between both datasets is more than significant.en
dc.publisherSensorsen
dc.subjectevaluation methodologyen
dc.subjectactivity recognitionen
dc.subjectsynthetic dataset generatoren
dc.subjectactivity surveyen
dc.titleCombining Users' Activity Survey and Simulators to Evaluate Human Activity Recognition Systemsen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.3390/s150408192
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC BYen
dc.date.acceptance2015-03-27en
dc.exception.reasonopen access articleen
dc.researchinstituteCyber Technology Institute (CTI)en


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