Developing a Mobile Wellness Management System for Healthy Lifestyle by Analyzing Daily Living Activities
It is important to protect health and improve quality of life for people, without causing them inconvenience in todays world. Since most people are living a busy life dealing with various activities at work, school, or home, there is a need for systematic analysis of their life patterns. However, since persons life patterns could change depending on ambient environmental factors, an effective management scheme to specify ones state is required. We propose a method, in this paper, to support and enhance the personal healthy life patterns by analyzing the daily life data that has been continuously recorded by wearable sensors, such as activity trackers. We implement a mobile wellness management system by learning RNN-based users lifestyle model, and developing behavior recommendation using greedy policy. We also consider user context and feedback to personalize each users lifestyle.
Health promotion Life Style:Fitness Tracker
Chae-Gyun Lim Zae Myung Kim Ho-Jin Choi
School of Computing,KAIST,291 Daehak-ro,Yuseong-gu,Daejeon 34141,Korea
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
146-150
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）