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Universal Access in the Information Society
Erschienen in: Universal Access in the Information Society 2/2011

01.06.2011 | Long Paper

Extracting spatiotemporal human activity patterns in assisted living using a home sensor network

verfasst von: Dimitrios Lymberopoulos, Athanasios Bamis, Andreas Savvides

Erschienen in: Universal Access in the Information Society | Ausgabe 2/2011

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Abstract

This paper presents an automated methodology for extracting 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 motion over space and time. Using this stream of symbols, the problem of human activity modeling is formulated as a spatiotemporal pattern-matching problem on top of the sequence of symbolic information the sensor network produces, and is solved using an exhaustive search algorithm. The effectiveness 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. The developed algorithm examines the person’s data over these 30 days and automatically extracts the person’s daily pattern.
Vorheriger Artikel Behavior monitoring for assistive environments using multiple views
Nächster Artikel Analyzing motoric and physiological data in describing upper extremity movement in the aged

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Fußnoten
1
The start time and duration condition parameters can be either entered directly by the user based on prior information or they can be automatically extracted from the input phoneme triplets using the methodology we presented in [15].
 
2
In practice any model building method in the literature can be used
 
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Metadaten
Titel
Extracting spatiotemporal human activity patterns in assisted living using a home sensor network
verfasst von
Dimitrios Lymberopoulos
Athanasios Bamis
Andreas Savvides
Publikationsdatum
01.06.2011
Verlag
Springer-Verlag
Erschienen in
Universal Access in the Information Society / Ausgabe 2/2011
Print ISSN: 1615-5289
Elektronische ISSN: 1615-5297
DOI
https://doi.org/10.1007/s10209-010-0197-5

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