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Framework for ambient assistive living PDF

204 Pages·2017·3.36 MB·English
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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 Submitted on 25 Jul 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la difusion de documents entifc research documents, whether they are pub- scientifques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 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

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