TY - JOUR
T1 - Cyber-Enabled Well-Being Oriented Daily Living Support Based on Personal Data Analysis
AU - Kasuya, Seiji
AU - Zhou, Xiaokang
AU - Tago, Kiichi
AU - Nishimura, Shoji
AU - Jin, Qun
N1 - Funding Information:
The work was supported in part by 2016 and 2017 Waseda University Grants for Special Research Projects No. 2016B-233 and No. 2017B-302, and 2016-2018 Masaru Ibuka Foundation Research Project on Oriental Medicine.
Publisher Copyright:
© 2013 IEEE.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
KW - Personal data analytics
KW - cyber-enabled application
KW - data-driven behavior analysis
KW - well-being oriented living support
UR - http://www.scopus.com/inward/record.url?scp=85032257198&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032257198&partnerID=8YFLogxK
U2 - 10.1109/TETC.2017.2763966
DO - 10.1109/TETC.2017.2763966
M3 - Article
AN - SCOPUS:85032257198
SN - 2168-6750
VL - 8
SP - 493
EP - 502
JO - IEEE Transactions on Emerging Topics in Computing
JF - IEEE Transactions on Emerging Topics in Computing
IS - 2
M1 - 8070361
ER -