Browse > Article

Hallym Jikimi: A Remote Monitoring System for Daily Activities of Elders Living Alone  

Lee, Seon-Woo (한림대학교 전자공학과)
Kim, Yong-Joong (한림대학교 전자공학과)
Lee, Gi-Sup (한림대학교 전자공학과)
Kim, Byung-Jung (한림대학교 전자공학과)
Abstract
This paper describes a remote system to monitor the circadian behavioral patterns of elders who live alone. The proposed system was designed and implemented to provide more conveniently and reliably the required functionalities of a remote monitoring system for elders based on the development of first phase prototype[2]. The developed system is composed of an in-house sensing system and a server system. The in-house sensing system is a set of wireless sensor nodes which have pyroelectric infrared (PIR) sensor to detect a motion of elder. Each sensing node sends its detection signal to a home gateway via wireless link. The home gateway stores the received signals into a remote database. The server system is composed of a database server and a web server, which provides web-based monitoring system to caregivers (friends, family and social workers) for more cost effective intelligent care service. The improved second phase system can provide 'automatic diagnosis', 'going out detection', and enhanced user interface functionalities. We have evaluated the first and second phase monitoring systems from real field experiments of 3/4 months continuous operation with installation of 9/15 elders' houses, respectively. The experimental results show the promising possibilities to estimate the behavioral patterns and the current status of elder even though the simplicity of sensing capability.
Keywords
Home healthcare system; behavioral pattern detection; remote monitoring system; elders living alone; wireless sensor network;
Citations & Related Records
연도 인용수 순위
  • Reference
1 E. Dishman, "Inventing Wellness Systems for Aging in Place," IEEE Computer Magazine, pp. 34-41, May 2004   DOI   ScienceOn
2 지경용 외, "유비쿼터스 시대의 보건 의료", 진한엠엔비, 2005
3 G. Virone, et al., "Behavioral Patterns of Older Adults in Assisted Living," IEEE Trans. Info. Tech. in Biomedicine, Vol.12, No.3, pp. 387-398, May 2008   DOI   ScienceOn
4 G. Virone, N. Noury, and J. Demongeot, "A System for Automatic Measurement of Circadian Activity Deviations in Telemedicine," IEEE Trans. on Biomedical Engineering, Vol.49, No.12, pp. 1463-1469, Dec. 2002   DOI   ScienceOn
5 M. Alwan et. al. "Impact of Monitoring Techno-logy in Assisted Living: Outcome Pilot," IEEE Trans. Information Tech. in Biomedicine, Vol.10, No.1, pp. 192-198, Jan. 2006   DOI   ScienceOn
6 Seon-Woo Lee et. al. "A Remote Behavioral Monitoring System for Elders Living Alone," Int'l Conf. on Control, Auto., and Sys., pp. 2725-2730, Seoul Korea Oct. 2007
7 T.S. Barger, D. E. Brown, and M. Alwan, "Health-Status Monitoring Through Analysis of Behavioral Patterns," IEEE Trans. on Sys. Man and Cyb.-Part A, Vol.35, No.1, pp.22-27, Jan. 2005   DOI   ScienceOn