Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
Data retrieval for location-dependent queries in a multi-cell wireless environment
Mobile Information Systems
A Context-aware Reminding System for Daily Activities of Dementia Patients
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Smart Home Mobile RFID-Based Internet-of-Things Systems and Services
ICACTE '08 Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering
Mobile service oriented architectures for NN-queries
Journal of Network and Computer Applications
Improving sensing accuracy in cognitive PANs through modulation of sensing probability
Mobile Information Systems - Advances in Mobile Communications and Computing
SmartDrawer: RFID-based smart medicine drawer for assistive environments
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
A semantic approach for accessible services delivery in a smart environment
International Journal of Web and Grid Services
Learning situation models in a smart home
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Sensor relocation for emergent data acquisition in sparse mobile sensor networks
Mobile Information Systems
A standard ontology for smart spaces
International Journal of Web and Grid Services
Fault reconnaissance agent for sensor networks
Mobile Information Systems
RFID-based human behavior modeling and anomaly detection for elderly care
Mobile Information Systems
Prototypical implementation of location-aware services based on super-distributed RFID tags
ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
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In this paper, we present a reminder system that sends a reminder list to the user's mobile device based on the history data collected from the same user and the events in the user's calendar on that day. The system provides an individualized service. The list is to remind the user with objects he/she might have forgotten at home. The objects that the user brings along with are detected by passive RFID technology. Objects are classified into three different levels based on their frequencies in the history data. Rules of the three levels are then followed to decide if a certain object should be in the reminder list or not. A feedback mechanism is also designed to lower the possibility of unnecessary reminding.