[Tccc] Research Internship on Context-Aware and Automa...
Tayeb LEMLOUMA
Tayeb.Lemloumaatirisa.fr
Thu Mar 21 18:42:45 EDT 2013
4 to 6 months research internship (Master 2) is available from now at
the LIUPPA Laboratory, Anglet, France
Context of the Internship:
================
According to the United Nations projections, in 2050, the old-age
dependency ratio of the population aged 65 years or over will
approximate 51,70% of the population aged 20-64. For instance, this
ratio will approximate 48,2% in France, 62% in Germany and 44,10% in
UK. In healthcare domain, the evaluation of the autonomy or dependency
of a person is of high importance. Indeed, such evaluation is used by
the professionals of health to identify the person's needs of
assistance, services and allowance. Also, it allows making the right
decision about keeping the person in the health institution, nursing
home or independently at home with or without healthcare monitoring.
Internship Subject:
============
In a smart home environment, and more globally in a smart city
environment, particular attention and care should be made for
dependent people in particular for elderly since they are left on
their own at home or in the city. A continuous dependency evaluation
is of high concern since it can detect the changes regarding the
person's abilities to achieve elementary daily tasks. In this context,
we consider a framework for automatic and flexible dependency
evaluation that can notify any changes of the elderly dependency and
hence allows providing him, at time, with required help, assistance
and allowance. We consider the heterogeneity of elderly profiles and
service sources that can come from anywhere from the home or the city.
The dependency evaluation takes benefits from the description model of
the elderly and the dynamic composition of services. The approach
considers the activities of daily living (ADL) as used in the French
AGGIR (Autonomy Gerontology Iso-Resources Group) model.
The objective of the application is to make automatic the dependency
evaluation process which is usually done manually in the medical
field. The work focused on the dependency change within the medical
AGGIR model, and possibly other existing models regarding the
dependency in ADL of elderly and dependent persons. Our aim is to move
the current situation toward a flexible architecture and an extensible
model linked to opened data referring to a wide variety of services.
The different observation sources, sensors and services are
heterogeneous and can come from anywhere in the home or the city.
These services evaluate the different variables that affect the ADL.
Consequently, the proposed architecture should be able to detect
automatically the dependency situation and changes of the monitored
person and notify these changes, in time, to different destinations
(e.g. locally to a human interface, to the referring doctor, hospital,
nurses, allowance institutions, etc.).
In the current status of this subject, we have modeled the dependency
changes from a dependency group to the lower group and identified
priority variables for the dependency change according the context of
the elderly (i.e. the GIR group defined in the AGGIR model). We
described our vision of the flexible architecture which has to
integrate various sources (services, sensors and data) using mediation
tools (e.g. Cilia) and notify the dependency changes.
The candidate has to develop the proposed RDF model, exploring other
dependency models, study the extension of existing dependency
evaluation algorithms (e.g. the extension of the GIR algorithm with
heterogeneous sources) and the experimentation of dependency changes
with real heterogeneous sensors and services composition.
Keywords: Web Services and REST, Cilia, RDF, OWL
Contacts: Roose Philippe ([1]philippe.ro... at iutbayonne.univ-pau.fr),
Laborie Sbastien (S[2]bastien.labo... at iutbayonne.univ-pau.fr), Tayeb
Lemlouma ([3]tayeb.lemlo... at irisa.fr)
--
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- Dr. Ing. Tayeb LEMLOUMA, PhD, Associate Professor (matre de confrences)
.
- IRISA (CNRS UMR 6074), University of Rennes I - IUT of Lannion
- Telecommunications and Networks Dpt.
- BP 30219, Rue Edouard Branly, 22302 LANNION Cedex, FRANCE
- Phone : +33 (0) 2 96 46 94 27 Fax: +33 (0) 2 96 48 57 97
- E-mail: [4]tayeb.lemlo... at irisa.fr - [5]tayeb.lemlo... at univ-rennes1.fr
- Web:
- [6]http://people.irisa.fr/Tayeb.Lemlouma/
- [7]http://www.lemlouma.com
- Office : E102
-
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References
1. mailto:philippe.ro... at iutbayonne.univ-pau.fr
2. mailto:bastien.labo... at iutbayonne.univ-pau.fr
3. mailto:tayeb.lemlo... at irisa.fr
4. mailto:tayeb.lemlo... at irisa.fr
5. mailto:tayeb.lemlo... at univ-rennes1.fr
6. http://people.irisa.fr/Tayeb.Lemlouma/
7. http://www.lemlouma.com/
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