Remote Elderly Assisted Living System-A preliminary research, development and evaluation

This paper describes the idea and preliminary results for a Remote Elderly Assisted Living (REAL) system. This system is designed to assist monitoring the increasing numbers of elderly and vulnerable people living on their own. The proposed system aims to monitor the normal activities of the elderly without intrusion into a person's normal living environment. If the system detects some deviation in the baseline of the observed habits such as less energy consumption, it could be an indicator that the observed person has difficulties and the system can trigger an event. In this paper we describe the methodology of the system designed to work based on multisensory information for remotely monitoring the activities of elderly and present a set of preliminary collected results from the proof of concept implementation.

[1]  Sakuko Otake,et al.  Long term remote behavioral monitoring of elderly by using sensors installed in ordinary houses , 2002, 2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578).

[2]  James Fogarty,et al.  Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition , 2006, UIST.

[3]  Youzhi Xu,et al.  An Elderly Health Care System Using Wireless Sensor Networks at Home , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[4]  François Brémond,et al.  An Activity Monitoring System for Real Elderly at Home: Validation Study , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[5]  L. Nachman,et al.  PIPENET: A Wireless Sensor Network for Pipeline Monitoring , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[6]  Carles Gomez,et al.  Wireless home automation networks: A survey of architectures and technologies , 2010, IEEE Communications Magazine.

[7]  Mani B. Srivastava,et al.  NAWMS: nonintrusive autonomous water monitoring system , 2008, SenSys '08.

[8]  Xiang Wang,et al.  Remote Monitoring of Mobility Changes of the Elderly at Home Using Frequency Rank Order Statistics , 2006 .

[9]  Ching-Chiang Chen,et al.  An Empirical Studies on Mobile Phone Dependency Syndrome , 2009, 2009 Eighth International Conference on Mobile Business.

[10]  Sydney Katz.  Assessing Self‐maintenance: Activities of Daily Living, Mobility, and Instrumental Activities of Daily Living , 1983, Journal of the American Geriatrics Society.

[11]  K. Chintalapudi,et al.  Structural damage detection and localization using NETSHM , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.