30 results on '"André Thépaut"'
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2. Use of a Persona to Support the Interdisciplinary Design of an Assistive Technology for Meal Preparation in Traumatic Brain Injury.
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Marisnel Olivares, Hélène Pigot, Carolina Bottari, Monica Lavoie, Taoufik Zayani, Nathalie Bier, Guylaine Le Dorze, Stéphanie Pinard, Brigitte Le Pévédic, Bonnie Swaine, Pierre-Yves Therriault, André Thépaut, and Sylvain Giroux
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- 2021
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3. A Co-design Approach for a Rehabilitation Robot Coach for Physical Rehabilitation Based on the Error Classification of Motion Errors.
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Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, and André Thépaut
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- 2018
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4. A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors.
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Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, and André Thépaut
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- 2021
5. Unsupervised discovery of activities of daily living characterized by their periodicity and variability.
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Julie Soulas, Philippe Lenca, and André Thépaut
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- 2015
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6. Monitoring the Habits of Elderly People through Data Mining from Home Automation Devices Data.
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Julie Soulas, Philippe Lenca, and André Thépaut
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- 2013
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7. Comparison and Complementarity of Two Approaches to Implement AAL Systems.
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Jean-Baptiste Lézoray, Patrice Roy, Bessam Abdulrazak, Maria-Teresa Segarra, and André Thépaut
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- 2012
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8. From Individual Communication to Social Networks: Evolution of a Technical Platform for the Elderly.
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Cécile Bothorel, Christophe Lohr, André Thépaut, Fabrice Bonnaud, and Gilbert Cabasse
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- 2011
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9. An Architectural Model for Building Distributed Adaptation Systems.
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Mohamed Zouari, Maria-Teresa Segarra, Françoise André, and André Thépaut
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- 2011
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10. Cognitive Assistance to Meal Preparation: Design, Implementation, and Assessment in a Living Lab.
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Sylvain Giroux, Nathalie Bier, Hélène Pigot, Bruno Bouchard 0001, Abdenour Bouzouane, Mélanie Levasseur, Mélanie Couture, Carolina Bottari, Bonnie Swaine, Pierre-Yves Therriault, Kevin Bouchard, Fanny Le Morellec, Stéphanie Pinard, Sabrina Azzi, Marisnel Olivares, Taoufik Zayani, Guylaine Le Dorze, Pierre De Loor, André Thépaut, and Brigitte Le Pévédic
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- 2015
11. Networking and Communication in Smart Home for People with Disabilities.
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Mahmoud Ghorbel, Maria-Teresa Segarra, Jérôme Kerdreux, André Thépaut, and Mounir Mokhtari
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- 2004
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12. A design process enabling adaptation in pervasive heterogeneous contexts.
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Jean-Baptiste Lézoray, Maria-Teresa Segarra, An Phung-Khac, André Thépaut, Jean-Marie Gilliot, and Antoine Beugnard
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- 2011
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13. Use of a Persona to Support the Interdisciplinary Design of an Assistive Technology for Meal Preparation in Traumatic Brain Injury
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Carolina Bottari, Pierre-Yves Therriault, Brigitte Le Pévédic, Bonnie Swaine, M. Olivares, Guylaine Le Dorze, Stéphanie Pinard, Nathalie Bier, Monica Lavoie, Sylvain Giroux, André Thépaut, Hélène Pigot, and T. Zayani
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030506 rehabilitation ,Psychotherapist ,Traumatic brain injury ,Persona ,medicine.disease ,Human-Computer Interaction ,03 medical and health sciences ,0302 clinical medicine ,Interdisciplinary design ,Assistive technology ,medicine ,Meal preparation ,0305 other medical science ,Psychology ,030217 neurology & neurosurgery ,Software - Abstract
User-centered design (UCD) facilitates the creation of technologies that are specifically designed to answer users’ needs. This paper presents the first step of a UCD using a persona, a fictitious character representing the targeted population, which in this case is people having sustained a traumatic brain injury (TBI). The persona is used to better understand the possible interactions of a TBI population with a prototype of a technology that we wish to develop, namely the Cognitive Orthosis for coOKing (COOK). COOK is meant to be an assistive technology that will be designed to promote independence for cooking within a supported-living residence. More specifically, this paper presents the persona’s creation methodology based on the first four phases of the persona’s lifecycle. It also describes how the persona methodology served as a facilitator to initiate an interdisciplinary collaboration between a clinical team and a computer science team. Creation of personas relied on a clinical model (Disability Creation Process) that contextualized the needs of this population and an evaluation tool [Instrumental Activities of Daily Living (IADL) Profile] that presented a wide range of cognitive assistance needs found in this same population. This paper provides an in-depth description of some of the most frequent everyday difficulties experienced by individuals with TBI as well as the persona’s abilities, limitations and social participation during the realization of IADL, and an evaluation of the manifestations of these difficulties during IADL performance as represented through scenarios. The interdisciplinary team used the persona to complete a first description of the interactions of a persona with TBI with COOK. This work is an attempt at offering a communication tool, the persona, to facilitate interdisciplinary research among diverse disciplines who wish to learn to develop a common language, models and methodologies at the beginning of the design process.
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- 2020
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14. Two simple cooperating neural systems for efficient handwritten digit recognition.
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Yvon Autret and André Thépaut
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- 1995
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15. Neural network cooperation for handwritten digit recognition: a comparison of four methods.
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Yvon Autret and André Thépaut
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- 1997
16. A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors
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Beatrice Le Gales-Garnett, Gilles Kermarrec, Sao Mai Nguyen, André Thépaut, Maxime Devanne, Olivier Rémy-Néris, Lab-STICC_IMTA_CID_IHSEV, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Département Informatique (IMT Atlantique - INFO), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), CHRU Brest - service de rééducation fonctionnelle (CHU - BREST ), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Centre de Recherche sur l'Education, les apprentissages et la didactique (CREAD), Institut universitaire de formation des maîtres - Bretagne (IUFM Bretagne), Université de Brest (UBO)-Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)
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FOS: Computer and information sciences ,0209 industrial biotechnology ,Computer science ,Process (engineering) ,medicine.medical_treatment ,Computer Science - Human-Computer Interaction ,medical robotics ,02 engineering and technology ,Coaching ,Motion (physics) ,Human-Computer Interaction (cs.HC) ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,Computer Science - Robotics ,020901 industrial engineering & automation ,Human–computer interaction ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,ComputingMilieux_MISCELLANEOUS ,Rehabilitation ,assistive robotics ,humanoid robot ,business.industry ,Orientation (computer vision) ,Probabilistic logic ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,Mixture model ,robot coach ,Robot ,020201 artificial intelligence & image processing ,Poppy robot ,business ,Robotics (cs.RO) ,human motion analysis - Abstract
The rising number of the elderly incurs growing concern about healthcare, and in particular rehabilitation healthcare. Assistive technology and assistive robotics in particular may help to improve this process. We develop a robot coach capable of demonstrating rehabilitation exercises to patients, watch a patient carry out the exercises and give him feedback so as to improve his performance and encourage him. The HRI of the system is based on our study with a team of rehabilitation therapists and with the target population.The system relies on human motion analysis. We develop a method for learning a probabilistic representation of ideal movements from expert demonstrations. A Gaussian Mixture Model is employed from position and orientation features captured using a Microsoft Kinect v2. For assessing patients' movements, we propose a real-time multi-level analysis to both temporally and spatially identify and explain body part errors. This analysis combined with a classification algorithm allows the robot to provide coaching advice to make the patient improve his movements. The evaluation on three rehabilitation exercises shows the potential of the proposed approach for learning and assessing kinaesthetic movements., Comment: IRC 2018 : Second IEEE International Conference on Robotic Computing, Jan 2018, Laguna Hills, CA,, United States
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- 2018
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17. Rééducation fonctionnelle assistée par robot humanoïde
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André Thépaut, Sao Mai Nguyen, Maxime Devanne, and Olivier Rémy-Néris
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- 2018
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18. An ontology model for a context-aware preventive assistance system : reducing exposition of individuals with Traumatic Brain Injury to dangerous situations during meal preparation
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André Thépaut, Guylaine Le Dorze, Pierre De Loor, Stéphanie Picard, Hélène Pigot, Nathalie Bier, Sylvain Giroux, Carolina Botarri, Marisnel Carolina Olivares Amaro, Lab-STICC_TB_CID_IHSEV, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance ( Lab-STICC ), École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Département informatique ( INFO ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire DOmotique et informatique Mobile (Université de Sherbrooke) ( DOMUS ), École Nationale d'Ingénieurs de Brest ( ENIB ), Centre de recherche Interdisciplinaire en réadaptation du Montréal métropolitain (.) ( CRIR ), Centre de recherche sur le vieillissement - CSSS-UIGS (Université de Sherbrooke), École de Réadaptation (Université de Montréal), Ecole d'orthophonie et d'audiologie (Université de Montréal), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département informatique (INFO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), DOmotique et informatique Mobile à l'Université de Sherbrooke (DOMUS), Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), École Nationale d'Ingénieurs de Brest (ENIB), and Centre de recherche Interdisciplinaire en réadaptation du Montréal métropolitain (.) (CRIR)
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030506 rehabilitation ,Traumatic brain injury ,During meal ,[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Applied psychology ,education ,[ INFO.INFO-IU ] Computer Science [cs]/Ubiquitous Computing ,Context (language use) ,Ontology (information science) ,Traumatic Brain Injury (TBI) ,Computer security ,computer.software_genre ,[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing ,03 medical and health sciences ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC] ,medicine ,Context awareness ,0501 psychology and cognitive sciences ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,ontology ,050107 human factors ,Exposition (narrative) ,Hierarchical Task Network (HTN) ,digestive, oral, and skin physiology ,05 social sciences ,medicine.disease ,context- awareness ,Active and Assisted Living (AAL) ,0305 other medical science ,Psychology ,computer - Abstract
International audience; An ontology model for a context-aware preventive assistance system : reducing exposition of individuals with Traumatic Brain Injury to dangerous situations during meal preparation
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- 2016
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19. Unsupervised discovery of activities of daily living characterized by their periodicity and variability
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Philippe Lenca, André Thépaut, Julie Soulas, Lab-STICC_TB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Lab-STICC_TB_CID_IHSEV, Département informatique (INFO), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance ( Lab-STICC ), École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Département Logique des Usages, Sciences sociales et Sciences de l'Information ( LUSSI ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], and Département informatique ( INFO )
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Activities of daily living ,Computer science ,[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Periodic patterns ,[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] ,Ambient Assisted Living ,02 engineering and technology ,computer.software_genre ,Machine learning ,Regular patterns ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,Habits ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Smart home ,[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY] ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,Artificial Intelligence ,Home automation ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Electrical and Electronic Engineering ,[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI] ,[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS] ,[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] ,business.industry ,[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY] ,Control and Systems Engineering ,020201 artificial intelligence & image processing ,Data mining ,Artificial intelligence ,business ,computer - Abstract
International audience; Habits characterize the activities of elderly people. Monitoring their habits and their ability to carry out the activities of daily living is a great challenge in order to improve aging at home. In particular, the detection of changes in regular behavior may help to detect emerging disorders. The emergence of smart homes and sensor networks allow the non-intrusive collection of data describing the activities in the home. The collected data is indeed an objective source to mine periodic patterns representing the habits of a particular individual. Extended Episode Discovery (xED) algorithm is described and discussed. This algorithm searches for regular patterns, highlighting the periodicity and variability of each discovered pattern. This approach allows a high adaptability to different users and lifestyles. Experiments on six real-life datasets illustrate the interest of xED.
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- 2015
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20. Comparison and Complementarity of Two Approaches to Implement AAL Systems
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Bessam Abdulrazak, André Thépaut, Jean-Baptiste Lézoray, Maria Teresa Segarra, Patrice C. Roy, Département informatique (INFO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Université de Sherbrooke (UdeS), Process for Adaptative Software Systems (PASS), Télécom Bretagne-LANGAGE ET GÉNIE LOGICIEL (IRISA-D4), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Lab-STICC_TB_CID_IHSEV, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département informatique ( INFO ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Université de Sherbrooke [Sherbrooke], Process for Adaptative Software Systems ( PASS ), Télécom Bretagne-LANGAGE ET GÉNIE LOGICIEL ( IRISA-D4 ), Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance ( Lab-STICC ), École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), and Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR] ,business.industry ,Computer science ,Short paper ,020206 networking & telecommunications ,020207 software engineering ,02 engineering and technology ,[ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE] ,[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] ,Complementarity (physics) ,Industrial engineering ,[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] ,0202 electrical engineering, electronic engineering, information engineering ,[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA] ,[INFO.INFO-ES]Computer Science [cs]/Embedded Systems ,[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR] ,[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems ,Telecommunications ,business ,Assisted living - Abstract
International audience; This short paper compares two approaches of the state of the art, to implement Ambient Assisted Living (AAL) systems. By com- paring the two approaches, we aim to show that combining them could lead to an improvement of the offered response of the system. It shows that it could be interesting to develop a proof-of-concept system from a combination of these approaches, as it would improve the state of the art in AAL systems.
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- 2012
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21. Design process enabling adaptation in pervasive heterogeneous contexts
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André Thépaut, Maria-Teresa Segarra, Jean-Baptiste Lézoray, Antoine Beugnard, Jean-Marie Gilliot, An Phung-Khac, Département informatique (INFO), and Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)
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Population ageing ,Computer science ,media_common.quotation_subject ,Mobile computing ,02 engineering and technology ,Management Science and Operations Research ,Domain (software engineering) ,0202 electrical engineering, electronic engineering, information engineering ,Dynamic adaptation ,[INFO]Computer Science [cs] ,Adaptation (computer science) ,Simulation ,media_common ,computer.programming_language ,AAL ,020207 software engineering ,Model driven engineering ,Computer Science Applications ,Risk analysis (engineering) ,Hardware and Architecture ,Design process ,020201 artificial intelligence & image processing ,Model-driven architecture ,Heterogeneity ,computer ,Autonomy ,Adaptive medium approach - Abstract
International audience; In the next decades, the growth in population ageing will cause important problems to most industrialized countries. To tackle this issue, Ambient Assistive Living (AAL) systems can reinforce the well-being of elderly people, by providing emergency, autonomy enhancement, and comfort services. These services will postpone the need of a medicalized environment, and will allow the elderly to stay longer at home. However, each elderly has specific needs and a deployment environment of such services is likely unique. Furthermore, the needs evolve over time, and so does the deployment environment of the system. In this paper, we propose the use of a model-based development method, the adaptive medium approach, to enable dynamic adaptation of AAL systems. We also propose improvements to make it more suited to the AAL domain, such as considering heterogeneity and a composition model. The paper includes an evaluation of the prototype implementing the approach, and a comparison with related work.
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- 2011
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22. From Individual Communication to Social Networks: Evolution of a Technical Platform for the Elderly
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Christophe Lohr, Fabrice Bonnaud, Cécile Bothorel, André Thépaut, Gilbert Cabasse, Lab-STICC_TB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département informatique (INFO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Alcatel Lucent, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance ( Lab-STICC ), École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Département informatique ( INFO ), and Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris]
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Platforms ,media_common.quotation_subject ,Internet privacy ,Face (sociological concept) ,02 engineering and technology ,computer.software_genre ,[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY] ,0202 electrical engineering, electronic engineering, information engineering ,Active listening ,Sociology ,Real world deployments and experimentations in smart houses ,Digital life ,media_common ,Social network ,Multimedia ,business.industry ,Middleware and software architecturs for seniors ,Social environment ,020207 software engineering ,Retirement home ,[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY] ,Interpersonal ties ,Hospitals & Living communities ,Feeling ,Isolation (psychology) ,020201 artificial intelligence & image processing ,business ,computer - Abstract
International audience; One of the biggest challenges we currently face is to keep elderly people immersed in their social environment when they leave their home and enter a retirement home. Many of them feel isolated. The TV stands as their favorite media, and our first experiments showed that listening to vocalized local news and receiving TV messages and photos from family helped in fighting these feelings of isolation. With online social networks, we wish to involve the elderly in new types of interactions, more various and frequent. They will be more active and included in micro-conversations around multimedia contents. The retirement homes will benefit also from social networking capabilities. They will participate to the local news dedicated to the elderly people. In addition, the remote family will be informed of activities through an agenda and various publications.
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- 2011
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23. Adaptation and customization of services for the elderly
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Maria-Teresa Segarra, André Thépaut, Pierre-Marie Chapon, Christophe Lohr, Télécom Bretagne, Bibliothèque, Département informatique (INFO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), and Icade (Entreprise)
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Knowledge management ,Multimedia ,Computer science ,business.industry ,Biomedical Engineering ,Services computing ,computer.software_genre ,Personalization ,[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY] ,[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY] ,Work (electrical) ,Software deployment ,Information and Communications Technology ,ComputingMilieux_COMPUTERSANDSOCIETY ,Elderly people ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Geriatrics and Gerontology ,Adaptation (computer science) ,business ,Gerontology ,Design for All ,computer - Abstract
International audience; Information and communication technologies may be used to improve the quality of life of elderly people. However, the use of such techniques may be challenging for the elderly. In this paper, we present our experience on the deployment and experimentation of ICT technologies for older people that lead us to focus our work on adaptation.
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- 2010
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24. Parallel learning on the ArMenX machine by defining sub-networks
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J. Le Drezen, Gerald Ouvradou, André Thépaut, Y. Autret, and Jean-Daniel Laisne
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Digital signal processor ,Artificial neural network ,Parallel learning ,Computer science ,business.industry ,Computation ,Cellular neural network ,Parallel computing ,Artificial intelligence ,business ,Digital signal processing - Abstract
In this paper, we describe a parallel machine and show how it can be used for implementing parallel learning. The machine, called ArMenX, includes digital signal processors (DSPs) and transputers. DSPs are used for neural network computations. Transputers are used for DSP dynamic allocation. An existing learning algorithm has been chosen and implemented on the machine.
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- 2005
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25. Handwritten digit recognition using combined neural networks
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Y. Autret and André Thépaut
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Neural gas ,Quantitative Biology::Neurons and Cognition ,Artificial neural network ,Intelligent character recognition ,Time delay neural network ,Computer science ,business.industry ,Deep learning ,Speech recognition ,Computer Science::Neural and Evolutionary Computation ,Neocognitron ,Probabilistic neural network ,ComputingMethodologies_PATTERNRECOGNITION ,Recurrent neural network ,Cellular neural network ,Artificial intelligence ,Types of artificial neural networks ,business - Abstract
In this paper we propose a solution for integrating two neural networks which are used for handwritten digit recognition. As with the human brain structure, we have chosen to send global information to the first network and to send a sequence of local information to the second network. The first neural network uses digits as images. The second neural network uses digits as contours. One strategy is described for combining these neural networks. We show that we can obtain much better results from a combination of neural network than from individual neural networks.
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- 2005
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26. Networking and Communication in Smart Home for People with Disabilities
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Jérôme Kerdreux, Mahmoud Ghorbel, Mounir Mokhtari, Maria Teresa Segarra, Ronan Keryell, and André Thépaut
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Multimedia ,business.industry ,Computer science ,media_common.quotation_subject ,Service discovery ,Software development ,computer.software_genre ,User assistance ,Home automation ,Universal Plug and Play ,Web service ,User interface ,Telecommunications ,business ,Communications protocol ,Software architecture ,computer ,Autonomy ,media_common - Abstract
People with disabilities need several assistive technical aids to increase their autonomy and perform daily living tasks. This paper describes the role of networking and communication in the smart home concept which allows people with disabilities and elderly people to retain a certain level of independence within their daily environment, such as at home, work, school, outside and so on. The purpose of our research activity is to explore the difficulties by determining the most suitable approach to federate the different communication protocols available indoor and outdoor environments. In this paper we are presenting our main concept in the design of the smart home architecture. We also describe our approach to design an open software environment adapted to people with disabilities. This approach is based on the service discovery protocol UPnP (Universal Plan and Play) to discover devices in smart home. It is based also on wireless technologies and protocols (Wifi, Bluetooth, etc.) to enhance mobility and dependency. Some solutions are adapted to favor integration of new modules and devices, and to improve the communication between the different layers of our software architecture.
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- 2004
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27. An efficient handwritten digit recognition method on a flexible parallel architecture
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Aymeric Poulain Maubant, G. Leonhard, André Thépaut, Y. Autret, and Gerald Ouvradou
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Flexibility (engineering) ,Theoretical computer science ,Artificial neural network ,Computer architecture ,Handwriting recognition ,Computer science ,Multilayer perceptron ,Routing (electronic design automation) ,Perceptron ,Application software ,computer.software_genre ,computer ,Backpropagation - Abstract
This paper presents neural and hybrid (symbolic and subsymbolic) applications downloaded on the distributed computer architecture ArMenX. This machine is articulated around a ring of FPGAs acting as routing resources as well as fine grain computing resources and thus giving great flexibility. More coarse grain computing resources-Transputer and DSP-tightly coupled via FPGAs give a large application spectrum to the machine, making it possible to implement heterogeneous algorithms efficiently involving both low level (computing intensive) and high level (control intensive) tasks. We first introduce the ArMenX project and the main architecture features. Then, after giving details on the computing of propagation and back-propagation of the multi-layer perceptron on ArMenX, we will focus on a handwritten digit (issued from a zip code data base) recognition application. An original and efficient method, involving three neural networks, is developed. The first two neural networks deal with the 'reading process', and the last neural network, which learned to write, helps to make decisions on the first two network outputs, when they are not confident. Before concluding, the paper presents the work of integration of ArMenX into a high level programming environment, designed to make it easier to take advantage of the architecture flexibility.
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- 2002
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28. ArMenX: a flexible platform for signal and image processing
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Jo Le Drezen, Eric Cousin, Guy Leonhard, Jean-Daniel Laisne, Aymeric Poulain Maubant, Gerald Ouvradou, and André Thépaut
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Electromagnetic field ,Cellular architecture ,business.industry ,Computer science ,Serial communication ,Distributed computing ,SIGNAL (programming language) ,Wavelet transform ,Image processing ,Parallel processing (DSP implementation) ,Asynchronous communication ,Digital image processing ,business ,Digital signal processing ,Computer hardware ,Image compression - Abstract
The computation power needed in communication and image processing is increasing so much that parallel architecture can be seen as the only solution available. Serious drawbacks of such architectures are their lack of flexibility and the complexity of their programming. The goal of the ArMenX project is to offer a flexible development and prototyping platform for signal and image parallel processing. The ArMenX architecture consists of a set of replicated processing nodes. Each node consists of three tightly coupled units: a Transpute, a FPGA, and a DSP. The ArMenX nodes are interconnected by two media: one is an asynchronous serial link, and the other is a high bandwidth parallel ring. Thanks to this flexible multi-DSP architecture, ArMenX allows efficient implementation of a 'large kind of algorithms' involved in signal and image processing. We will present three examples of working applications on this parallel architecture: a parallel forward and backward propagation for neural network; a parallel implementation of computing an electromagnetic field (for an electrostatic and magnetostatic probelm) using an artificial neural network; and a large image compression algorithm using wavelet transform. The present work deals with the integration of a high level programming neural network environment. This environment will make it easier to take advantage of this architecture's flexibility.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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- 1995
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29. Hybrid Systems on a Multi-Grain Parallel Architecture
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Gerald Ouvradou, André Thépaut, and Aymeric Poulain Maubant
- Subjects
Parallelism (rhetoric) ,Coupling (computer programming) ,Computer science ,Hybrid system ,Parallel architecture ,Systems design ,Parallel computing ,Architecture - Abstract
We first show how systems coupling symbolic methods with sub-symbolic ones -the so-called hybrid systems- can solve efficiently problems by using advantages from the two types of methods. Then we present a new flexible multi-grain parallelism architecture, called ArMenX, and we show how hybrid systems can be executed on this machine.
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- 1994
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30. Dynamique temporelle et dispositif hybride. Apports potentiels de l'outil de classe virtuelle
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Teutsch, Philippe, Salam, Pierre Louay, Bourdet, Jean-François, Teutsch, Philippe, Gilbert Lainey (Télécom Bretagne), Centre de recherche en éducation de Nantes (CREN), Le Mans Université (UM)-Université de Nantes - UFR Lettres et Langages (UFRLL), Université de Nantes (UN)-Université de Nantes (UN), and Denis Lemaitre (ENSTA Bretagne) et André Thépaut (Télécom Bretagne)
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[SHS.EDU]Humanities and Social Sciences/Education ,Compétences ,[SHS.EDU] Humanities and Social Sciences/Education ,Étudiants ,Innovation ,Méthodes pédagogiques ,Accompagnement - Abstract
International audience; Notre objectif est d'analyser l'effet de l'usage de l'outil de classe virtuelle (CV) dans le cadre d'une formation universitaire hybride. La communication portera sur la question des temporalités composant une formation alternant présence et distance. Elle montrera comment l'usage de la CV permet une structuration spécifique de la construction temporelle des activités d'apprentissage.
- Published
- 2015
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