Unsupervised Feature Selection Using Feature Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel Fuzzy c-Means Clustering for Large Data Sets
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
A prototype on RFID and sensor networks for elder healthcare: progress report
Proceedings of the 2005 ACM SIGCOMM workshop on Experimental approaches to wireless network design and analysis
A Tracking Algorithm in RFID Reader Network
FCST '06 Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology
Maximum-entropy estimated distribution model for classification problems
International Journal of Hybrid Intelligent Systems
Adaptive estimated maximum-entropy distribution model
Information Sciences: an International Journal
A study in using neural networks for anomaly and misuse detection
SSYM'99 Proceedings of the 8th conference on USENIX Security Symposium - Volume 8
Managing heterogeneous sensors and actuators in ubiquitous computing environments
Proceedings of the First ACM workshop on Sensor and actor networks
A daily behavior enabled hidden Markov model for human behavior understanding
Pattern Recognition
A clustering algorithm based on an estimated distribution model
International Journal of Business Intelligence and Data Mining
Design, field experiments and evaluation of a web-based remote medical care support system
International Journal of Web and Grid Services
On Mining Movement Pattern from Mobile Users
International Journal of Distributed Sensor Networks - Heterogenous Wireless Ad Hoc and Sensor Networks
Anomaly Detection Using LibSVM Training Tools
ISA '08 Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008)
Design and evaluation of reliable data transmission protocol in wireless sensor networks
Mobile Information Systems - Information Assurance and Advanced Human-Computer Interfaces
Probability model for data redundancy detection in sensor networks
Mobile Information Systems - Advances in Mobile Communications and Computing
Design and implementation of a ubiquitous health monitoring system
International Journal of Web and Grid Services
Sensor relocation for emergent data acquisition in sparse mobile sensor networks
Mobile Information Systems
Security and privacy in RFID and applications in telemedicine
IEEE Communications Magazine
Mobile query services in a participatory embedded sensing environment
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on embedded systems for interactive multimedia services (ES-IMS)
A connectivity index for moving objects in an indoor cellular space
Personal and Ubiquitous Computing
Design of a secure RFID authentication scheme preceding market transactions
Mobile Information Systems - Emerging Wireless and Mobile Technologies
Smart object reminders with RFID and mobile technologies
Mobile Information Systems
Context-aware HCI service selection
Mobile Information Systems - Advances in Network-Based Information Systems
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This research aimed at building an intelligent system that can detect abnormal behavior for the elderly at home. Active RFID tags can be deployed at home to help collect daily movement data of the elderly who carries an RFID reader. When the reader detects the signals from the tags, RSSI values that represent signal strength are obtained. The RSSI values are reversely related to the distance between the tags and the reader and they are recorded following the movement of the user. The movement patterns, not the exact locations, of the user are the major concern. With the movement data (RSSI values), the clustering technique is then used to build a personalized model of normal behavior. After the model is built, any incoming datum outside the model can be viewed as abnormal and an alarm can be raised by the system. In this paper, we present the system architecture for RFID data collection and preprocessing, clustering for anomaly detection, and experimental results. The results show that this novel approach is promising.