One of the issues in healthcare systems or medical information systems is the reduction of medical errors to ensure patient safety. Inside an assistive environment, we apply RFID tags to monitor drug taking pattern and its consequences are reported to the care giver. This paper talks about an application which tracks the medicine intake pattern for the elderly using RFID readers and tags, motion sensors, and a wireless sensor mote. With the adoption of this ambient assistive technology in healthcare systems, the concept of heterogeneous sensor data management becomes an issue. In this paper, using a Web Based Caregiver Module makes the process of monitoring medicine intake for health-related matters of the elderly living alone simpler and easier. We also propose to use an energy efficient technique by using multiple sensor devices which employ a sequence of innetwork data fusion as needed.
Continuous location tracking in an assistive environment is considered to be the fundamental step for most of the monitoring applications, as it provides a very good indication about different ongoing activities. But, tracking in a multi-person environment, such as hospitals, requires simultaneous identification and localization mechanisms, which makes the system extremely complex. In this paper, we describe a system that uses RFID and other passive sensors deployed at various locations of the environment to continuously track and identify a person in a multi-person assistive environment. Given, sensor activations at different time points, the proposed system considers location uncertainties of each person and applies the nearest neighbor algorithm to update the location of a person.
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