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Health and Technology
Erschienen in: Health and Technology 2/2013

01.06.2013 | Original Paper

A non-intrusive context-aware system for ambient assisted living in smart home

verfasst von: Willy Allègre, Thomas Burger, Jean-Yves Antoine, Pascal Berruet, Jean-Paul Departe

Erschienen in: Health and Technology | Ausgabe 2/2013

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Abstract

Automation of smart home for ambient assisted living is currently based on a widespread use of sensors. As efficient as it seems to be, this solution can sometimes be problematic when one focus on user acceptability intimately related to cost and intrusivity. In this paper, we propose a context-aware system based on the semantic analysis of each user request at runtime. Our goal is to infer user data usually sensored by using advanced semantic web tools to adapt home automation services to people with special needs. To take up this challenge, an ontology, automatically derived from a model-driven process, firstly defines user-system interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery.
Vorheriger Artikel Stakeholder involvement guidelines to improve the design process of assistive technology: lesson from the development of the MPVS system
Nächster Artikel Intelligible software delivery in smart environments supported by a macro and micro context awareness model

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Fußnoten
1
Related works are discussed in Section 6 to clarify our contribution.
 
2
In accordance to the Model-Driven Architecture (MDA) specification [7].
 
3
Experiments have been conducted with students and occupational therapists with developed tools (see demo here: http://​www.​youtube.​com/​watch?​v=​B4FJcdDBa6Q).
 
4
The Ontology Definition Metamodel [8] is a specification to unify MDA and Ontology, making OWL conformed with the three modeling levels of the MDA specification.
 
5
HomeML is a format to store dataset openly accessible from a web repository [14].
 
6
Each home automation log is divided into isAskingForService and isUsing properties.
 
7
If IR01 and IR02 give precise user location in one part of the kitchen, our context-aware approach can infer it at a room scale when a local activation device is used.
 
8
QoS is related to data acquisition frequency and reliability of inferred knowledge.
 
9
Results are based on the original dataset without cleaning data from duplicates.
 
10
see a home automation application with an automatic scrolling and a brain-computer interface used in one apartment of Kerpape Living Lab here: http://​www.​youtube.​com/​watch?​v=​0grL24U5duM
 
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Metadaten
Titel
A non-intrusive context-aware system for ambient assisted living in smart home
verfasst von
Willy Allègre
Thomas Burger
Jean-Yves Antoine
Pascal Berruet
Jean-Paul Departe
Publikationsdatum
01.06.2013
Verlag
Springer-Verlag
Erschienen in
Health and Technology / Ausgabe 2/2013
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-013-0050-y

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