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Cited by 290

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Health-Status Monitoring Through Analysis of Behavioral Patterns

Barger, T.S., Brown, D.E., Alwan, M.·2005·IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans

Abstract

With the rapid growth of the elderly population, there is a need to support the ability of elders to maintain an independent and healthy lifestyle in their homes rather than through more expensive and isolated care facilities. One approach to accomplish these objectives employs the concepts of ambient intelligence to remotely monitor an elder's activities and condition. The SmartHouse project uses a system of basic sensors to monitor a person's in-home activity; a prototype of the system is being tested within a subject's home. We examined whether the system could be used to detect behavioral patterns and report the results in this paper. Mixture models were used to develop a probabilistic model of behavioral patterns. The results of the mixture-model analysis were then evaluated by using a log of events kept by the occupant.

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Authors
Barger, T. S., Brown, D. E., & Alwan, M.
Venue
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
Published
2005-01
Volume
35
Issue
1
Pages
22-27
ISSN
1083-4427 (ISSN-L)
OpenAlex
W2129897528
Cited by
290
References
0
FWCI
14.27
Type
journal article
Language
en
Open access
closed

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