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Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment

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Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment

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dc.contributor.author Shirali, Mohsen es_ES
dc.contributor.author Bayo-Monton, Jose Luis es_ES
dc.contributor.author Fernández Llatas, Carlos es_ES
dc.contributor.author Ghassemian, Mona es_ES
dc.contributor.author Traver Salcedo, Vicente es_ES
dc.date.accessioned 2021-05-27T03:33:29Z
dc.date.available 2021-05-27T03:33:29Z
dc.date.issued 2020-12 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166821
dc.description.abstract [EN] Aging population increase demands for solutions to help the solo-resident elderly live independently. Unobtrusive data collection in a smart home environment can monitor and assess elderly residents' health state based on changes in their mobility patterns. In this paper, a smart home system testbed setup for a solo-resident house is discussed and evaluated. We use paired Passive infra-red (PIR) sensors at each entry of a house and capture the resident's activities to model mobility patterns. We present the required testbed implementation phases, i.e., deployment, post-deployment analysis, re-deployment, and conduct behavioural data analysis to highlight the usability of collected data from a smart home. The main contribution of this work is to apply intelligence from a post-deployment process mining technique (namely, the parallel activity log inference algorithm (PALIA)) to find the best configuration for data collection in order to minimise the errors. Based on the post-deployment analysis, a re-deployment phase is performed, and results show the improvement of collected data accuracy in re-deployment phase from 81.57% to 95.53%. To complete our analysis, we apply the well-known CASAS project dataset as a reference to conduct a comparison with our collected results which shows a similar pattern. The collected data further is processed to use the level of activity of the solo-resident for a behaviour assessment. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Smart home es_ES
dc.subject Testbed es_ES
dc.subject Process mining es_ES
dc.subject Human mobility pattern monitoring es_ES
dc.subject Behaviour assessment es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20247167 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Shirali, M.; Bayo-Monton, JL.; Fernández Llatas, C.; Ghassemian, M.; Traver Salcedo, V. (2020). Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment. Sensors. 20(24):1-25. https://doi.org/10.3390/s20247167 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20247167 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 24 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 33327534 es_ES
dc.identifier.pmcid PMC7765022 es_ES
dc.relation.pasarela S\434048 es_ES
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