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

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


研究成果: Article査読

26 被引用数 (Scopus)


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 analysis. 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 advices to improve the living quality of an individual. Finally, we report a feasibility study with an application scenario by using personal and environmental data.

ジャーナルIEEE Transactions on Emerging Topics in Computing
出版ステータスPublished - 2020 4月 1

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 情報システム
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用


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