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dc.contributor.authorNassabi, Mohammad Hosseinde_DE
dc.contributor.authorop den Akker, Harmde_DE
dc.contributor.authorVollenbroek-Hutten, Miriamde_DE
dc.contributor.editorButz, Andreasde_DE
dc.contributor.editorKoch, Michaelde_DE
dc.contributor.editorSchlichter, Johannde_DE
dc.date.accessioned2017-11-22T15:08:53Z
dc.date.available2017-11-22T15:08:53Z
dc.date.issued2014
dc.identifier.isbn978-3-11-034450-9de_DE
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/8167
dc.description.abstractThe increasing ageing population and the prevalence of chronic diseases have introduced new challenges to healthcare systems motivating researchers to use telemonitoring solutions for providing care. In some solutions, a special focus has been given to promoting physical activity as it can decrease the risk of becoming frail and prevents further health complications. The focus of this research is to keep seniors physically active by designing and developing an intelligent system that recommends exercises tailored to an individual’s health status, goals and preferences hence aiming for an adaptive personalized solution.de_DE
dc.language.isoende_DE
dc.publisherDe Gruyter Oldenbourgde_DE
dc.relation.ispartofMensch & Computer 2014 - Workshopbandde_DE
dc.subjectabisde_DE
dc.subjecthcide_DE
dc.subjectpersonalizationde_DE
dc.subjectuser modelingde_DE
dc.titleAn ontology-based recommender system to promote physical activity for pre-frail elderlyde_DE
dc.typeworkshopde_DE
dc.pubPlaceBerlinde_DE
mci.document.qualitydigidocde_DE
mci.reference.pages181-184de_DE
mci.conference.sessiontitleInternational Workshop on Adaptivity and User Modeling (ABIS)de_DE


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