An ontology-based recommender system to promote physical activity for pre-frail elderly

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    1 Citation (Scopus)
    103 Downloads (Pure)

    Abstract

    The 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.
    Original languageEnglish
    Title of host publicationProceedings ABIS 2014
    Subtitle of host publication20th International Workshop on Adaptivity and User Modeling held at Mensch & Computer 2014
    Place of PublicationGermany
    PublisherOldenbourg Wissenschaftsverlag
    Pages181-184
    Number of pages3
    ISBN (Print)978-3-11034-450-9
    DOIs
    Publication statusPublished - 1 Sep 2014
    Event20th International Workshop on Adaptivity and User Modeling, ABIS 2014 - Munich, Germany
    Duration: 1 Sep 20141 Sep 2014
    Conference number: 20
    https://sigabis.wordpress.com/proceedings-abis-2014/

    Publication series

    NameMensch & Computer 2014
    PublisherOldenbourg Wissenschaftsverlag
    Volume14. Fachübergreifende Konferenz für Interaktive und Kooperative

    Workshop

    Workshop20th International Workshop on Adaptivity and User Modeling, ABIS 2014
    Abbreviated titleABIS
    CountryGermany
    CityMunich
    Period1/09/141/09/14
    Internet address

    Keywords

    • BSS-Biomechatronics and rehabilitation technology
    • CR-J
    • EWI-25040
    • Frailty
    • METIS-306017
    • EHealth
    • Physical Exercise
    • Telemonitoring
    • IR-91768
    • Recommender Systems

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