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

Seiji Kasuya, Xiaokang Zhou, Shoji Nishimura, Qun Jin

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

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    PublisherSpringer Verlag
    Pages443-449
    Number of pages7
    Volume354
    ISBN (Print)9783662478943
    DOIs
    Publication statusPublished - 2016
    Event10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
    Duration: 2015 May 182015 May 20

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume354
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Other

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

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    Data privacy

    Keywords

    • Big data analysis
    • Personal data
    • Well-Being oriented life support

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

    Cite this

    Kasuya, S., Zhou, X., Nishimura, S., & Jin, Q. (2016). A framework of personal data analytics for well-being oriented life support. In Lecture Notes in Electrical Engineering (Vol. 354, pp. 443-449). (Lecture Notes in Electrical Engineering; Vol. 354). Springer Verlag. https://doi.org/10.1007/978-3-662-47895-0_53

    A framework of personal data analytics for well-being oriented life support. / Kasuya, Seiji; Zhou, Xiaokang; Nishimura, Shoji; Jin, Qun.

    Lecture Notes in Electrical Engineering. Vol. 354 Springer Verlag, 2016. p. 443-449 (Lecture Notes in Electrical Engineering; Vol. 354).

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

    Kasuya, S, Zhou, X, Nishimura, S & Jin, Q 2016, A framework of personal data analytics for well-being oriented life support. in Lecture Notes in Electrical Engineering. vol. 354, Lecture Notes in Electrical Engineering, vol. 354, Springer Verlag, pp. 443-449, 10th International Conference on Future Information Technology, FutureTech 2015, Hanoi, Viet Nam, 15/5/18. https://doi.org/10.1007/978-3-662-47895-0_53
    Kasuya S, Zhou X, Nishimura S, Jin Q. A framework of personal data analytics for well-being oriented life support. In Lecture Notes in Electrical Engineering. Vol. 354. Springer Verlag. 2016. p. 443-449. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-3-662-47895-0_53
    Kasuya, Seiji ; Zhou, Xiaokang ; Nishimura, Shoji ; Jin, Qun. / A framework of personal data analytics for well-being oriented life support. Lecture Notes in Electrical Engineering. Vol. 354 Springer Verlag, 2016. pp. 443-449 (Lecture Notes in Electrical Engineering).
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