TY - GEN
T1 - A framework of personal data analytics for well-being oriented life support
AU - Kasuya, Seiji
AU - Zhou, Xiaokang
AU - Nishimura, Shoji
AU - Jin, Qun
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Big data analysis
KW - Personal data
KW - Well-Being oriented life support
UR - http://www.scopus.com/inward/record.url?scp=84947280902&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947280902&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-47895-0_53
DO - 10.1007/978-3-662-47895-0_53
M3 - Conference contribution
AN - SCOPUS:84947280902
SN - 9783662478943
VL - 354
T3 - Lecture Notes in Electrical Engineering
SP - 443
EP - 449
BT - Lecture Notes in Electrical Engineering
PB - Springer Verlag
T2 - 10th International Conference on Future Information Technology, FutureTech 2015
Y2 - 18 May 2015 through 20 May 2015
ER -