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Conference Paper
Health Monitoring System based on Lifelog Analysis
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- Authors
- Yongjin Kwon, Kyuchang Kang, Changseok Bae
- Issue Date
- 2013-10
- Citation
- Translational Bioinformatics Conference (TBC) 2013, pp.1-6
- Language
- English
- Type
- Conference Paper
- Abstract
- Health status is closely related to daily routines. To monitor a patient’s health status, it is important to track and interpret routine data continuously. Despite the effectiveness of everyday activity information, however, both collecting and analyzing the routine data are a difficult task. To collect and analyze routine data in a seamless and accurate way, it is required to build a system that incorporates a variety of sensors, data management techniques, lifelog analysis algorithm, and summarization techniques. This paper introduces a health monitoring system based on lifelog analysis. Triaxial acceleration and angular velocity data are considered as lifelog data, which are measured by the accelerometer in smartphones. A smartphone collects lifelog data continuously and transfers them into a server in a secure and reliable way. The lifelog data are interpreted by our activity recognition engine in the server, and the results are used as routine information to help practitioners or other vendors provide enhanced services.
- KSP Keywords
- Activity Recognition, Angular Velocity, Daily routine, Data Management, Enhanced services, Everyday activity, Health Monitoring System(HMS), Health status, Lifelog data, Management techniques, routine data