Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/1100
Title: Extracting spatiotemporal human activity patterns in assisted living using a home sensor network
Authors: Lymberopoulos, Dimitrios K.
Bamis, Athanasios
Savvides, Andreas 
Keywords: Human activity model
Spatiotemporal activity patterns
Issue Date: 2008
Publisher: ACM
Source: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments, 2008. Vol. 282
Abstract: This paper presents an automated methodology for extract- ing the spatiotemporal activity model of a person using a wireless sensor network deployed inside a home. The sensor network is modeled as a source of spatiotemporal symbols whose output is triggered by the monitored person's mo- tion over space and time. Using this stream of symbols, we formulate the problem of human activity modeling as a spatiotemporal pattern-matching problem on top of the se- quence of symbolic information the sensor network produces and solve it using an exhaustive search algorithm. The ef- fectiveness of the proposed methodology is demonstrated on a real 30-day dataset extracted from an ongoing deployment of a sensor network inside a home monitoring an elder. Our algorithm examines the person's data over these 30 days and automatically extracts the person's daily pattern.
URI: http://ktisis.cut.ac.cy/handle/10488/1100
ISBN: 9781605580678
DOI: http://doi.acm.org/10.1145/1389586.1389621
Rights: © 2008 ACM
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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