Affiliations: [a] Department of Computer Science and Engineering, Korea University, Seoul, Korea | [b] Department of Information Technology, The Cyber University of Korea, Seoul, Korea | [c] Department of Computer Science & Engineering, Sun Moon University, Asan, Korea
Correspondence:
[*]
Corresponding author: Jeong-Dong Kim, Department of Computer Science and Engineering, Korea University, Seoul, Korea. E-mail:kjdvhu@gmail.com
Abstract: As the focus of personal healthcare shifts from patient
treatment to early detection and prevention, it is becoming increasingly
important to manage personal wellness in our daily lives. Personal health
monitoring of physical activities and status can be used to show users the
distribution of their daily activities, making it easier for people to
assess their health, adopt better lifestyles, and potentially decrease the
occurrence of chronic diseases. In this paper, we propose a
CA5W1HOnto-based life data monitoring model that provides basic
monitored information from various devices and ensures preventive and
proactive service for personalized healthcare. Additionally, we propose a
life data analysis method to correlate the self-monitoring of activities
with the status of the human body.
Keywords: Life data monitoring, life data analysis, personalized healthcare, self-monitoring, ontological concept, CA5W1HOnto
