The active badge location system
ACM Transactions on Information Systems (TOIS)
The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
A Study of Ubiquitous Monitor with RFID in an Elderly Nursing Home
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
An Intelligent RFID System for Improving Elderly Daily Life Independent in Indoor Environment
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Identifying RFID-embedded objects in pervasive healthcare applications
Decision Support Systems
Design of an RFID-based Healthcare Management System using an Information System Design Theory
Information Systems Frontiers
An Improvised Localization Scheme Using Active RFID for Accurate Tracking in Smart Homes
UKSIM '10 Proceedings of the 2010 12th International Conference on Computer Modelling and Simulation
Pervasive intelligence system to enable safety and assistance in kitchen for home-alone elderly
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Agent societies and social networks for ubiquitous computing
Personal and Ubiquitous Computing
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In recent years, the number of elderly people living alone has grown rapidly. This increases the need for indoor healthcare services that help elderly residents live a safe and independent life. There has been increasing interest in indoor ubiquitous healthcare (U-Healthcare) applications that monitor the elderly unobtrusively via sensors and that warn them or healthcare providers of abnormal conditions. In U-Healthcare applications, automatically locating and tracking users who move around a building is a fundamental feature. Outdoor location sensing technologies such as the global positioning systems are not suitable for use in indoor environments, such as "smart home" applications, because their indoor-based location sensing lacks accuracy. This paper proposes an indoor U-Healthcare system that uses radio-frequency identification technology to accurately locate and track the elderly. The proposed system provides real-time monitoring of elderly people's whereabouts. In addition, it analyzes their locations in association with time slots and the length of time they stay in the same place, thus inferring information such as movement patterns, ranges, and frequencies. This information is used to determine elderly people's well-being and to warn family or healthcare workers of any potential problems. The proposed indoor U-Healthcare system improves the quality and convenience of care delivered to elderly people.