Personal Data Analytics for Well-Being Oriented Life Support: Experiment and Feasibility Study
Seiji Kasuya, Xiaokang Zhou, Shoji Nishimura, Qun Jin · Frontiers in artificial intelligence and applications · 2016
In this study, we concentrate on a feasibility study on personal data analysis for well-being oriented life support. We introduce our basic concept and model to describe the personal data collected from people's daily life, and discuss how to utilize the personal analysis to provide users with the individualized services in their daily lives. Finally, we present the experimental analysis based on people's daily activity data, to demonstrate the feasibility of our proposed approach.