Increasing the opportunities for aging in place
CUU '00 Proceedings on the 2000 conference on Universal Usability
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Minimum Spanning Tree Based Clustering Algorithms
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
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With the growing age of the baby-boomer generation and the rising cost of healthcare, it is becoming exceedingly difficult to give proper care and daily supervision to the elderly. The ability to detect anomalies in a subject's behavioral patterns based on minimal sensor data, will allow for a low cost sensor network to be placed into the subject's environment to provide this supervision. In this paper, we will discuss our approach for anomaly detection using a clustering algorithm on a minimal spanning tree and why this approach is more robust than statistical analysis. We will discuss the possible applications for such a system and will show that our method has a high success rate on both field and synthetic data.