Personal data analytics for well-being oriented life support: Experiment and feasibility study

Seiji Kasuya, Xiaokang Zhou, Shoji Nishimura, Qun Jin

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

    2 Citations (Scopus)

    Abstract

    In this study, we concentrate on a feasibility study on personal data analysis for well-being oriented life support. We introduce our basic concept and model to describe the personal data collected from people's daily life, and discuss how to utilize the personal analysis to provide users with the individualized services in their daily lives. Finally, we present the experimental analysis based on people's daily activity data, to demonstrate the feasibility of our proposed approach.

    Original languageEnglish
    Title of host publicationFrontiers in Artificial Intelligence and Applications
    PublisherIOS Press
    Pages172-179
    Number of pages8
    Volume282
    ISBN (Print)9781614996361
    DOIs
    Publication statusPublished - 2016
    Event7th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2016 - Keelung, Taiwan, Province of China
    Duration: 2016 Mar 292016 Mar 31

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    Volume282
    ISSN (Print)09226389

    Other

    Other7th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2016
    CountryTaiwan, Province of China
    CityKeelung
    Period16/3/2916/3/31

    Keywords

    • Data analytics
    • Personal data
    • Well-being oriented life support

    ASJC Scopus subject areas

    • Artificial Intelligence

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  • Cite this

    Kasuya, S., Zhou, X., Nishimura, S., & Jin, Q. (2016). Personal data analytics for well-being oriented life support: Experiment and feasibility study. In Frontiers in Artificial Intelligence and Applications (Vol. 282, pp. 172-179). (Frontiers in Artificial Intelligence and Applications; Vol. 282). IOS Press. https://doi.org/10.3233/978-1-61499-637-8-172