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Using the eServices Platform for Detecting Behavior Patterns Deviation in the Elderly Assisted Living: A Case Study

2015Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMarcelino, Isabel
dc.contributor.authorLopes, David
dc.contributor.authorReis, Michael
dc.contributor.authorSilva, Fernando
dc.contributor.authorLaza, Rosalía
dc.contributor.authorPereira, António
dc.date.accessioned2025-10-28T11:32:01Z
dc.date.available2025-10-28T11:32:01Z
dc.date.issued2015
dc.descriptionThis article is part of Special Issue: Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics
dc.descriptionArticle number - 530828
dc.description.abstractWorld’s aging population is rising and the elderly are increasingly isolated socially and geographically. As a consequence, in many situations, they need assistance that is not granted in time. In this paper, we present a solution that follows the CRISP-DM methodology to detect the elderly’s behavior pattern deviations that may indicate possible risk situations. To obtain these patterns, many variables are aggregated to ensure the alert system reliability and minimize eventual false positive alert situations. These variables comprehend information provided by body area network (BAN), by environment sensors, and also by the elderly’s interaction in a service provider platform, called eServices—Elderly Support Service Platform. eServices is a scalable platform aggregating a service ecosystem developed specially for elderly people. This pattern recognition will further activate the adequate response. With the system evolution, it will learn to predict potential danger situations for a specified user, acting preventively and ensuring the elderly’s safety and well-being. As the eServices platform is still in development, synthetic data, based on real data sample and empiric knowledge, is being used to populate the initial dataset. The presented work is a proof of concept of knowledge extraction using the eServices platform information. Regardless of not using real data, this work proves to be an asset, achieving a good performance in preventing alert situations.eng
dc.description.sponsorshipThis work was partially funded by the Platform of Integration of Intelligent Techniques for Analysis of Biomedical Information project (TIN2013-47153-C3-3-R) from the Spanish Ministry of Economy and Competitiveness. This work was partially funded by the [14VI05] Contract-Programme from the University of Vigo. This work has been partially supported by The Innovation Network of the Central Region, Portugal (RICE) Project, cofunded by Portuguese Program MaisCentro (SAICT); Body Area Networks for Elder’s Support (BodyNet), project funded by Polytechnic Institute of Leiria; and the +Social Platform (+Social), project funded by INOV INESC Innovation-Institute for New Technologies. In addition, a special thank you goes to Memoria nursing home collaboration and all the elderly that are tested and give their opinion making our work possible.
dc.identifier.citationMarcelino, Isabel & Lopes, David & Reis, Michael & Silva, Fernando & Laza, Rosal'ia & Pereira, António. (2015). Using the eServices Platform for Detecting Behavior Patterns Deviation in the Elderly Assisted Living: A Case Study. BioMed Research International. 2015. 10.1155/2015/530828.
dc.identifier.doi10.1155/2015/530828
dc.identifier.issn2314-6133
dc.identifier.issn2314-6141
dc.identifier.urihttp://hdl.handle.net/10400.8/14405
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relation"TIN2013-47153-C3-3-R"
dc.relation.hasversionhttps://onlinelibrary.wiley.com/doi/10.1155/2015/530828
dc.relation.ispartofBioMed Research International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecteServices Platform
dc.subjectCRISP-DM methodology
dc.subjectelderly’s behavior pattern deviations
dc.titleUsing the eServices Platform for Detecting Behavior Patterns Deviation in the Elderly Assisted Living: A Case Studyeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleBioMed Research International
oaire.citation.volume2015
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMarcelino
person.familyNameSilva
person.familyNamePereira
person.givenNameIsabel
person.givenNameFernando
person.givenNameAntónio
person.identifier.ciencia-id9D19-84F9-F1CA
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.orcid0000-0002-3766-8907
person.identifier.orcid0000-0001-9335-1851
person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id24402946400
person.identifier.scopus-author-id7402230199
relation.isAuthorOfPublication376ecbe9-c315-4108-97c4-0b2651b3708d
relation.isAuthorOfPublication2db213d9-a071-4f43-9544-1295ebb6ffde
relation.isAuthorOfPublication6320b167-2323-4699-bf04-9288d3f603c0
relation.isAuthorOfPublication.latestForDiscovery376ecbe9-c315-4108-97c4-0b2651b3708d

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