Health status monitoring through analysis of behavioral patterns (2003)
| Venue: | 8th congress of the Italian Association for Artificial Intelligence (AI*IA) on Ambient Intelligence |
| Citations: | 29 - 4 self |
BibTeX
@INPROCEEDINGS{Barger03healthstatus,
author = {Tracy Barger and Donald Brown and Majd Alwan},
title = {Health status monitoring through analysis of behavioral patterns},
booktitle = {8th congress of the Italian Association for Artificial Intelligence (AI*IA) on Ambient Intelligence},
year = {2003},
pages = {22--27},
publisher = {Springer-Verlag}
}
Bookmark
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OpenURL
Abstract
Abstract. With the rapid growth of the elderly population, there is a need to assess the ability of elders to maintain an independent and healthy lifestyle. One possible method is to employ the concepts of ambient intelligence to remotely monitor an elder’s activity. The SmartHouse project uses a system of basic sensors to monitor a person’s in-home activity, and a prototype of the system is being tested within a subject’s home. We examine whether the system can be used to detect behavioral patterns. Mixture models are used to develop a probabilistic model of behavioral patterns. The results of the mixture model analysis are then compared to a log of events kept by the user. 1
