Combining users’ activity survey and simulators to evaluate human activity recognition systems

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dc.contributor.authorAzkune Galparsoro, Gorka
dc.contributor.authorAlmeida, Aitor
dc.contributor.authorLópez de Ipiña González de Artaza, Diego
dc.contributor.authorChen, Liming
dc.date.accessioned2026-02-13T11:19:20Z
dc.date.available2026-02-13T11:19:20Z
dc.date.issued2015-04-08
dc.date.updated2026-02-13T11:19:20Z
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 synthetic dataset generated following the proposed methodology is compared to a real dataset computing the similarity between sensor occurrence frequencies. It is concluded that the similarity between both datasets is more than significant.en
dc.description.sponsorshipThis work has been supported by the Spanish Government under the FRASEWAREProject: TIN2013-47152-C3-3-R. It has been also supported by the Sonopa Project thanks to the European Union and the Spanish Government: AAL-2012-5-187 and AAL-010000-2013-12en
dc.identifier.citationAzkune, G., Almeida, A., López-de-Ipiña, D., & Chen, L. (2015). Combining users’ activity survey and simulators to evaluate human activity recognition systems. Sensors (Switzerland), 15(4), 8192-8213. https://doi.org/10.3390/S150408192
dc.identifier.doi10.3390/S150408192
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5113
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2015 by the authors
dc.subject.otherEvaluation methodology
dc.subject.otherActivity recognition
dc.subject.otherSynthetic dataset generator
dc.subject.otherActivity survey
dc.titleCombining users’ activity survey and simulators to evaluate human activity recognition systemsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage8213
oaire.citation.issue4
oaire.citation.startPage8192
oaire.citation.titleSensors (Switzerland)
oaire.citation.volume15
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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