Framework for ambient assistive living

204 Pages·2017·3.36 MB·English

by  Hamdi Aloulou

Framework for ambient assistive living : handling
dynamism and uncertainty in real time semantic services
provisioning
Hamdi Aloulou
To cite this version:
Hamdi Aloulou. Framework for ambient assistive living : handling dynamism and uncertainty in real
time semantic services provisioning. Automatic Control Engineering. Institut National des Télécom-
munications, 2013. English. NNT : 2013TELE0016. tel-01048706
HAL Id: tel-01048706
https://tel.archives-ouvertes.fr/tel-01048706
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THÈSE DE DOCTORAT CONJOINT
TELECOM SUDPARIS / UNIVERSITÉ PIERRE & MARIE CURIE
Spécialité
Informatique
École doctorale Informatique, Télécommunications et Électronique de Paris
Présentée par
Hamdi ALOULOU
Pour obtenir le grade de
DOCTEUR
de
TELECOM SUDPARIS
Sujet de la thèse :
Environnement Logiciel pour l’Assistance à l’Autonomie à Domicile :
Gestion de la Dynamique et de l’Incertitude pour la Fourniture
Sémantique en Temps Réel de Services d’Assistance
Soutenue le 25 Juin 2013
devant le jury composé de :
M. Jacques Demongeot Rapporteur Prof, Université Joseph Fourier, France
M. Nick Hine Rapporteur Prof, Université de Dundee, Royaume-Uni
Mme. Amal El Fallah Seghrouchni Examinateur Prof, Université Pierre & Marie Curie, France
M. Bessam Abdulrazak Examinateur Prof, Université de Sherbrooke, Canada
M. Philippe Fraisse Examinateur Prof, Université Montpellier 2, France
M. Mounir Mokhtari Directeur de thèse Prof, Institut Mines-Télécom, France
◦
Thèse n 2013TELE0016
DOCTOR OF PHILOSOPHY (PhD) THESIS
TELECOM SUDPARIS / PIERRE ET MARIE CURIE UNIVERSITY
Specialization
COMPUTER SCIENCE
Paris doctoral school of Computing, Communications and Electronic
Presented by
Hamdi ALOULOU
Submitted for the partial requirement of
Doctor of Philosophy
from
TELECOM SUDPARIS
Thesis subject :
Framework for Ambient Assistive Living: Handling
Dynamism and Uncertainty in Real Time Semantic Services
Provisioning
June 25 2013
Commitee:
Mr. Jacques Demongeot Reviewer Prof, Joseph Fourier University, France
Mr. Nick Hine Reviewer Prof, Dundee University, United Kingdom
Ms. Amal El Fallah Seghrouchni Examiner Prof, University Pierre & Marie Curie, France
Mr. Bessam Abdulrazak Examiner Prof, University of Sherbrooke, Canada
Mr. Philippe Fraisse Examiner Prof, Montpellier 2 University, France
Mr. Mounir Mokhtari Thesis director Prof, Mines Télécom Institute, France
◦
Thèse n 2013TELE0016
Institut Mines-Telecom
Image & Pervasive Access Lab 1 Fusionopolis Way
CNRS (UMI 2955), France #21-01 Connexis (South Tower)
2
I R / A*STAR, Singapore Singapore 138632
To my father Youssef,
To my mother Rafia,
To my wife Sahar,
To my beloved brother and sister,
Thank you for your sacrifices and patience.
Indeed, with hardship will be ease.
vii
Acknowledgments
First of all, I would like to thank all the people who supported and collaborated with
me to achieve this work. Without your help I could not be at this stage today.
I wish to extend my sincerest gratitude to my thesis director, Professor Mounir Mokhtari,
for giving me the opportunity to realize this work and for his precious advices, ideas and
support that brought this work to completion. It was really a wonderful experience to
work with him and I would like to thank him for the confidence he had in me and for the
freedom and responsibility I received in my work.
I am grateful to Professor Jacques Demongeot and Professor Nick Hine for accepting
to review the manuscript and to the rest of my defense jury: Professor Amal El Fallah
Seghrouchni, Professor Bessam Abdulrazak and Professor Philippe Fraisse for their interest
in my research and for accepting to evaluate it.
A special thank to Professor Daniel Racoceanu, the Image and Pervasive Access Lab
(IPAL) director, for welcoming me and for the support I have received. I would like also
to thank all my friends in the lab for their help and support all over my stay especially my
team-mate Thibaut Tiberghien and my colleagues Antoine Fagette and Stéphane Rigaud.
A part of this research work was realized in close collaboration with the Institute for
Infocomm Research (I2R) and the National University of Singapore (NUS). I would like
to thank Doctor Jit Biswas, Professor Jin Song Dong and their teams for the collaboration
we had and the work they have achieved. We have also collaborated with Khoo Teck Puat
Hospital and PeaceHaven nursing home in Singapore. A special thank to the staff for their
collaboration and for welcoming us in their premises. I will not forget all the residents
who were involved in our trials. I hope this work will help to improve their well-being and
quality of life.
Finally, I would like to thank my family and my friends for their understanding and
support during the past three years.
Thanks to all of you.
ix
Framework for Ambient Assistive Living: Handling
Dynamism and Uncertainty in Real Time Semantic Services
Provisioning
Abstract
The heterogeneity of the environments as well as the diversity of patients’ needs and
profiles are major constraints that challenge the spread of ambient assistive living (AAL)
systems. AAL environments are usually evolving by the introduction or the disappearance
of sensors, devices and assistive services to respond to the evolution of patients’ conditions
and human needs. In addition, each patient has a specific profile that influences the
choice of interaction devices and requires particular assistive actions. The selection of the
required assistive actions affects the decision on the set of sensors that needs to be installed.
Therefore, a generic framework that is able to adapt to such dynamic environments and to
integrate new sensors, devices and assistive services at runtime is required. Implementing
such a dynamic aspect may produce an uncertainty derived from technical problems related
to sensors reliability or network problems. This uncertainty impacts the information and
the events received by the framework. It is also related to human behaviors, where the
situation of the assisted person is imprecise and the system is not able to classify his
activity. Therefore, a notion of uncertain should be introduced in context representation
and decision making in order to deal with this problem.
During this thesis, I have developed a dynamic and extendible framework able to adapt
to different environments and patients’ needs. It allows the integration of new assistive
services, sensors and interaction devices at runtime, and then their inclusion into the rea-
soning process in order to provide the appropriate assistive services for end-users when
needed. This was achieved based on my proposed approach of semantic Plug&Play mech-
anism. I have used different approaches, mainly the modular approach with the use of
the Open Service Gateway initiative (OSGi) for implementation, the declarative approach,
using the semantic web technologies for environment representation and for reasoning, and
the Device Profile for Web Services (DPWS) mechanism for sensors and devices discovery