Cyber-Enabled Well-Being Oriented Daily Living Support Based on Personal Data Analytics

Seiji Kasuya, Xiaokang Zhou, Kiichi Tago, Shoji Nishimura, Qun Jin

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    We are living in a cyber-physical-social environment with a variety of lifestyles and values. Living support has become important in such a diverse society. Owing to the ability to collect a large amount of personal data or life logs in the cyber-physical-social environment, it is now possible for us to provide living support based on personal data analysis. Moreover, analyzing such data can facilitate a deep understanding of an individual. In this study, we focus on the provision of cyber-enabled well-being oriented daily living support for an individual based on personal data analytics. Three categories of personal data are identified from an individual's daily life data. In this paper, we discuss the basic concept, model, and framework for well-being oriented personal data analysis in order to offer suggestions and advice to improve the living quality of an individual. Finally, we report a feasibility study with an application scenario by using personal and environmental data.

    Original languageEnglish
    JournalIEEE Transactions on Emerging Topics in Computing
    DOIs
    Publication statusAccepted/In press - 2017 Oct 16

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    Keywords

    • Algorithm design and analysis
    • Collaboration
    • Cyber-Enabled Application
    • Data analysis
    • Data mining
    • Data-Driven User Behavior Analysis
    • Feature extraction
    • Personal Data Analytics
    • Prediction algorithms
    • Sensors
    • Well-Being Oriented Living Support

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Information Systems
    • Human-Computer Interaction
    • Computer Science Applications

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