A framework of personal data analytics for well-being oriented life support

Seiji Kasuya*, Xiaokang Zhou, Shoji Nishimura, Qun Jin

*この研究の対応する著者

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Nowadays, we are living in a well-suited social environment with a variety of lifestyles and values. Life support has become important in such a diversified society. Along with continuously collecting the tremendous amount of personal big data generated in the social environment, it is possible for us to provide the life support based on personal data analytics. Moreover, analyzing such a kind of data can facilitate deep understanding of individual life. In this study, we focus on personal data analytics to support well-being oriented life. Three categories of personal data are classified from the collection of individuals’ daily life data, and a framework of well-being oriented personal data analysis is proposed, which can provide people with suggestions and advices to improve their living life.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Electrical Engineering
    出版社Springer Verlag
    ページ443-449
    ページ数7
    354
    ISBN(印刷版)9783662478943
    DOI
    出版ステータスPublished - 2016
    イベント10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
    継続期間: 2015 5 182015 5 20

    出版物シリーズ

    名前Lecture Notes in Electrical Engineering
    354
    ISSN(印刷版)18761100
    ISSN(電子版)18761119

    Other

    Other10th International Conference on Future Information Technology, FutureTech 2015
    国/地域Viet Nam
    CityHanoi
    Period15/5/1815/5/20

    ASJC Scopus subject areas

    • 産業および生産工学

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