DocumentCode :
3560769
Title :
Behavior Analysis for Assisted Living
Author :
Monekosso, Dorothy N. ; Remagnino, Paolo
Author_Institution :
Sch. of Comput. & Math., Univ. of Ulster, Londonderry, UK
Volume :
7
Issue :
4
fYear :
2010
Firstpage :
879
Lastpage :
886
Abstract :
In this paper, we describe a model-based behavior analysis system for assisted living. The goal is monitoring the well-being of a single occupant in a home. Behavior is defined as any pattern in a sequence of observations. In analyzing behavior in a smart home, we aim to detect gradual changes in behavior, and atypical (anomalous) behavior. The anomalous behavior may be the result of equipment failure or the result of significant variations in the behavior of the occupant. In the context of a smart home, both situations require human intervention although the response will differ. For the purpose of observing behavior, the smart home is equipped with embedded sensors that unobtrusively record various environmental parameters. Models of behavior are generated from the sensor data. These models are employed to detect trends and infer atypical behavior.
Keywords :
behavioural sciences; home computing; learning systems; model-based reasoning; assisted living; atypical behavior; human intervention; model based behavior analysis system; sensor data; smart home; Acoustic sensors; Biomedical monitoring; Capacitive sensors; Humans; Intelligent sensors; Sensor arrays; Sensor phenomena and characterization; Smart homes; Temperature sensors; Unsupervised learning; Artificial intelligence; learning system; unsupervised learning;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
Conference_Location :
6/1/2010 12:00:00 AM
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2010.2049840
Filename :
5475363
Link To Document :
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