Validation of a remote monitoring system for the elderly: Application to mobility measurements
Technology and Health Care
Computers in Biology and Medicine
POSTECH's U-Health Smart Home for elderly monitoring and support
WOWMOM '10 Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
IEEE Transactions on Information Technology in Biomedicine
Elderly activities recognition and classification for applications in assisted living
Expert Systems with Applications: An International Journal
Forecasting the behavior of an elderly using wireless sensors data in a smart home
Engineering Applications of Artificial Intelligence
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Public health monitoring for solitary elderly people must be implemented in a particularly economic way because of their low-income status. The aim of this paper is to propose a model-based method combined with conventional reasoning methods such as multiple regression and the boosting strategy. The role of model-based reasoning is to generate secondary situational information from activity data gathered at home. Current health condition information is then provided as part of an activity-based smart management system for health monitoring. Only one activity sensor per house is considered. In this paper, we also discuss how the Korean government has actually applied this method in smart-care services for more than ten thousand solitary elderly people. The experiments are conducted based on the u-care system, which is composed of an activity sensor connected to a remote server using a wireless sensor network. The remote server includes multi-agents which analyze and diagnose current health conditions.