andres.upeguipo 109370505 Upegui Posada Andres andres.upegui@hesge.ch fr 1 On On

{"id":7890538,"role":"RP","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":11119,"title":"IoT Week - Hackathon","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."},"en":{"id":11120,"title":"IoT Week - Hackathon","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."},"de":{"id":11121,"title":"IoT Week - Hackathon","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."}},"id":73233,"acronym":"IoT Week - Hackathon","mainTitle":"IoT Week - Hackathon","mainDescription":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG.","value":"8524.50","finished":true,"pilier":6,"url":null,"keywords":null,"disciplines":[],"axes":[],"partners":[{"id":1868598,"name":"","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"hepia inIT","class":"academique"}],"collaborators":[{"id":7890538,"role":"RP","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":73233},{"id":7890539,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"anabela.inacio","project":73233}],"dataHub":true,"startAt":"2017-03-01T00:00:00+01:00","endAt":"2017-08-31T00:00:00+02:00","fundingSource":"Fondation Hasler; Siemens Switzerland Ltd; ABB S\u00e9cheron AG","publications":[],"projectUrl":null,"repo_name":null}}

{"id":7886946,"role":"ME","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":3349,"title":"Pervasive computing framework for modeling complex virtually-unbounded systems","description":"We will develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities that will enable the simulation of large-scale complex systems and the study of emergent complex behaviors in a virtually unbounded wireless network of computing modules.\r\nAt the heart of these ubiquitous computing modules (ubidules), we will use a custom reconfigurable electronic device capable of implementing bio-inspired mechanisms such as growth, learning, and evolution. This reconfigurable circuit will be associated to rich sensory elements and wireless communication capabilities. Such an infrastructure will provide several advantages compared to\r\nclassical software simulations: speed-up, an inherent real-time interaction with the environment, self-organization capabilities, simulation in the presence of uncertainty, and distributed multi-scale simulations.\r\nThe strong interaction between our hardware infrastructure and the real environment circumvent the need to simulate the environment and ease the occurrence of unexpected emergent phenomena. The observation of such emergent phenomena will be now facilitated by the shorter simulation time,\r\nbrought by the hardware speed-up.\r\nOne of the major difficulties of a complex system simulation is to define the structural organization of the modules composing the model. The self-organization and bio-inspired capabilities of our platform will bring an innovative solution to this problem: an evolving and hierarchical structure.\r\nThe function of each ubidule can be dynamically and autonomously determined by the simulation itself: it can be an independent agent or a part of a largest entity.\r\nWe have identified four domains where our modeling infrastructure will prove its usefulness as a powerful and innovative simulation tool: biologically-plausible developing neural networks modeling, culture dissemination modeling, gene- regulatory networks modeling, and cooperative collective robotics modeling. We will perform qualitative and quantitative comparisons between classical software implementations of these four target modeling applications and their implementation running on a network of ubidules, our PERPLEXUS platform.\r\nThe PERPLEXUS platform will thus provide an unprecedented modeling framework thanks to the pervasive nature of the hardware platform, its bio-inspired capabilities, its strong interaction with the environment, and its dynamical topology."},"en":{"id":3350,"title":"Pervasive computing framework for modeling complex virtually-unbounded systems","description":"We will develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities that will enable the simulation of large-scale complex systems and the study of emergent complex behaviors in a virtually unbounded wireless network of computing modules.\r\nAt the heart of these ubiquitous computing modules (ubidules), we will use a custom reconfigurable electronic device capable of implementing bio-inspired mechanisms such as growth, learning, and evolution. This reconfigurable circuit will be associated to rich sensory elements and wireless communication capabilities. Such an infrastructure will provide several advantages compared to\r\nclassical software simulations: speed-up, an inherent real-time interaction with the environment, self-organization capabilities, simulation in the presence of uncertainty, and distributed multi-scale simulations.\r\nThe strong interaction between our hardware infrastructure and the real environment circumvent the need to simulate the environment and ease the occurrence of unexpected emergent phenomena. The observation of such emergent phenomena will be now facilitated by the shorter simulation time,\r\nbrought by the hardware speed-up.\r\nOne of the major difficulties of a complex system simulation is to define the structural organization of the modules composing the model. The self-organization and bio-inspired capabilities of our platform will bring an innovative solution to this problem: an evolving and hierarchical structure.\r\nThe function of each ubidule can be dynamically and autonomously determined by the simulation itself: it can be an independent agent or a part of a largest entity.\r\nWe have identified four domains where our modeling infrastructure will prove its usefulness as a powerful and innovative simulation tool: biologically-plausible developing neural networks modeling, culture dissemination modeling, gene- regulatory networks modeling, and cooperative collective robotics modeling. We will perform qualitative and quantitative comparisons between classical software implementations of these four target modeling applications and their implementation running on a network of ubidules, our PERPLEXUS platform.\r\nThe PERPLEXUS platform will thus provide an unprecedented modeling framework thanks to the pervasive nature of the hardware platform, its bio-inspired capabilities, its strong interaction with the environment, and its dynamical topology."},"de":{"id":3351,"title":"Pervasive computing framework for modeling complex virtually-unbounded systems","description":"We will develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities that will enable the simulation of large-scale complex systems and the study of emergent complex behaviors in a virtually unbounded wireless network of computing modules.\r\nAt the heart of these ubiquitous computing modules (ubidules), we will use a custom reconfigurable electronic device capable of implementing bio-inspired mechanisms such as growth, learning, and evolution. This reconfigurable circuit will be associated to rich sensory elements and wireless communication capabilities. Such an infrastructure will provide several advantages compared to\r\nclassical software simulations: speed-up, an inherent real-time interaction with the environment, self-organization capabilities, simulation in the presence of uncertainty, and distributed multi-scale simulations.\r\nThe strong interaction between our hardware infrastructure and the real environment circumvent the need to simulate the environment and ease the occurrence of unexpected emergent phenomena. The observation of such emergent phenomena will be now facilitated by the shorter simulation time,\r\nbrought by the hardware speed-up.\r\nOne of the major difficulties of a complex system simulation is to define the structural organization of the modules composing the model. 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We will perform qualitative and quantitative comparisons between classical software implementations of these four target modeling applications and their implementation running on a network of ubidules, our PERPLEXUS platform.\r\nThe PERPLEXUS platform will thus provide an unprecedented modeling framework thanks to the pervasive nature of the hardware platform, its bio-inspired capabilities, its strong interaction with the environment, and its dynamical topology."}},"id":17155,"acronym":"PERPLEXUS","mainTitle":"Pervasive computing framework for modeling complex virtually-unbounded systems","mainDescription":"We will develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities that will enable the simulation of large-scale complex systems and the study of emergent complex behaviors in a virtually unbounded wireless network of computing modules.\r\nAt the heart of these ubiquitous computing modules (ubidules), we will use a custom reconfigurable electronic device capable of implementing bio-inspired mechanisms such as growth, learning, and evolution. 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{"id":7885106,"role":"CO","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":25200,"title":"Centre Suisse d'Intelligence Artificielle pour les PME (3\u00e8me ann\u00e9e: 2024-25)","description":"L'objectif principal du projet est d'acc\u00e9l\u00e9rer l'adoption de l'IA dans la transition digitale de nos PME suisses. Le d\u00e9fi socio-\u00e9conomique associ\u00e9 est d'augmenter leur comp\u00e9titivit\u00e9, de limiter les d\u00e9localisations et de cr\u00e9er de nouvelles comp\u00e9tences \u00e0 l'interface des laboratoires et de l'utilisation pratique de l'IA. Comme illustr\u00e9 \u00e0 la Figure 2, l'objectif sera support\u00e9 par trois axes compl\u00e9mentaires.\r\nLe premier axe est technico-scientifique et vise \u00e0 combler le \u00ab research gap \u00bb, en amenant les r\u00e9sultats de la recherche en IA au sein des PME. Nous visons le d\u00e9veloppement d'une palette d'outils qui vont dans cette direction : pr\u00e9paration des donn\u00e9es, prototypage rapide, d\u00e9tection de biais, \u00e9valuation de mod\u00e8les, outils de d\u00e9ploiement et d'int\u00e9gration. De la recherche appliqu\u00e9e est encore n\u00e9cessaire dans ces domaines, entre autre dans l'assemblage de microservices AI permettant la mise \u00e0 l'\u00e9chelle et le devops acc\u00e9l\u00e9rant l'int\u00e9gration dans les clouds et les syst\u00e8mes embarqu\u00e9s. Le couplage benchmarking-optimisation de l'IA, ainsi que la d\u00e9tection automatique de biais sont \u00e9galement des sujets tr\u00e8s actifs en recherche fondamentale et pour lesquels une recherche appliqu\u00e9e est n\u00e9cessaire. 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Cet axe sera support\u00e9 par des partenaires d'infrastructure IT cloud et\/ou edge situ\u00e9s en SO, avec pour objectif de faciliter les mises en production, de garantir une s\u00e9curit\u00e9 des donn\u00e9es sur sol suisse et d'offrir une mise \u00e0 l'\u00e9chelle progressive des applications. A ce niveau, Exoscale, Infomaniak, Unit8 ainsi que d'autres entreprises de la Suisse romande ont \u00e9t\u00e9 approch\u00e9es, montrant un fort int\u00e9r\u00eat pour le projet et souhaitant contribuer de fa\u00e7on forte.\r\nLe deuxi\u00e8me axe adresse le \u00ab PME gap \u00bb, associ\u00e9 au manque d'une culture orient\u00e9e donn\u00e9es, le data mindset. Nous souhaitons amener des composantes m\u00e9thodologiques pour identifier les besoins et les cas d'utilisation potentiels de l'IA. Des activit\u00e9s de transfert de connaissances et de transfert technologiques bas\u00e9s sur les outils d\u00e9velopp\u00e9s dans l'axe 1 seront d\u00e9velopp\u00e9es dans cet axe. Finalement, un service de pr\u00e9paration aux accr\u00e9ditations d'IA sera propos\u00e9. Dans le cadre de ce deuxi\u00e8me axe, nous souhaitons ouvrir le projet aux autres domaines de la HES-SO, dont le domaine \u00c9conomie et Services (ann\u00e9es 2-4 du projet).\r\nA l'interface et en support de ces deux axes, le troisi\u00e8me axe vise le d\u00e9veloppement du premier Centre Suisse d'IA pour les PME ' CSIA-PME. Nous souhaitons mettre en r\u00e9seau les 70 chercheurs actifs en IA sur les 5 sites de la HES-SO en cartographiant leurs expertises. Le CSIA PME a le potentiel d'augmenter le volume des projets IA dans les diff\u00e9rents sites et de positionner la HES-SO comme acteur majeur en IA dans le paysage suisse romand. Finalement, le CSIA PME a pour vocation de continuer sa mission au-del\u00e0 de la dur\u00e9e du projet."},"de":{"id":25202,"title":"Centre Suisse d'Intelligence Artificielle pour les PME (3\u00e8me ann\u00e9e: 2024-25)","description":"L'objectif principal du projet est d'acc\u00e9l\u00e9rer l'adoption de l'IA dans la transition digitale de nos PME suisses. Le d\u00e9fi socio-\u00e9conomique associ\u00e9 est d'augmenter leur comp\u00e9titivit\u00e9, de limiter les d\u00e9localisations et de cr\u00e9er de nouvelles comp\u00e9tences \u00e0 l'interface des laboratoires et de l'utilisation pratique de l'IA. Comme illustr\u00e9 \u00e0 la Figure 2, l'objectif sera support\u00e9 par trois axes compl\u00e9mentaires.\r\nLe premier axe est technico-scientifique et vise \u00e0 combler le \u00ab research gap \u00bb, en amenant les r\u00e9sultats de la recherche en IA au sein des PME. Nous visons le d\u00e9veloppement d'une palette d'outils qui vont dans cette direction : pr\u00e9paration des donn\u00e9es, prototypage rapide, d\u00e9tection de biais, \u00e9valuation de mod\u00e8les, outils de d\u00e9ploiement et d'int\u00e9gration. De la recherche appliqu\u00e9e est encore n\u00e9cessaire dans ces domaines, entre autre dans l'assemblage de microservices AI permettant la mise \u00e0 l'\u00e9chelle et le devops acc\u00e9l\u00e9rant l'int\u00e9gration dans les clouds et les syst\u00e8mes embarqu\u00e9s. Le couplage benchmarking-optimisation de l'IA, ainsi que la d\u00e9tection automatique de biais sont \u00e9galement des sujets tr\u00e8s actifs en recherche fondamentale et pour lesquels une recherche appliqu\u00e9e est n\u00e9cessaire. Cet axe sera support\u00e9 par des partenaires d'infrastructure IT cloud et\/ou edge situ\u00e9s en SO, avec pour objectif de faciliter les mises en production, de garantir une s\u00e9curit\u00e9 des donn\u00e9es sur sol suisse et d'offrir une mise \u00e0 l'\u00e9chelle progressive des applications. A ce niveau, Exoscale, Infomaniak, Unit8 ainsi que d'autres entreprises de la Suisse romande ont \u00e9t\u00e9 approch\u00e9es, montrant un fort int\u00e9r\u00eat pour le projet et souhaitant contribuer de fa\u00e7on forte.\r\nLe deuxi\u00e8me axe adresse le \u00ab PME gap \u00bb, associ\u00e9 au manque d'une culture orient\u00e9e donn\u00e9es, le data mindset. Nous souhaitons amener des composantes m\u00e9thodologiques pour identifier les besoins et les cas d'utilisation potentiels de l'IA. Des activit\u00e9s de transfert de connaissances et de transfert technologiques bas\u00e9s sur les outils d\u00e9velopp\u00e9s dans l'axe 1 seront d\u00e9velopp\u00e9es dans cet axe. 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Nous visons le d\u00e9veloppement d'une palette d'outils qui vont dans cette direction : pr\u00e9paration des donn\u00e9es, prototypage rapide, d\u00e9tection de biais, \u00e9valuation de mod\u00e8les, outils de d\u00e9ploiement et d'int\u00e9gration. De la recherche appliqu\u00e9e est encore n\u00e9cessaire dans ces domaines, entre autre dans l'assemblage de microservices AI permettant la mise \u00e0 l'\u00e9chelle et le devops acc\u00e9l\u00e9rant l'int\u00e9gration dans les clouds et les syst\u00e8mes embarqu\u00e9s. Le couplage benchmarking-optimisation de l'IA, ainsi que la d\u00e9tection automatique de biais sont \u00e9galement des sujets tr\u00e8s actifs en recherche fondamentale et pour lesquels une recherche appliqu\u00e9e est n\u00e9cessaire. Cet axe sera support\u00e9 par des partenaires d'infrastructure IT cloud et\/ou edge situ\u00e9s en SO, avec pour objectif de faciliter les mises en production, de garantir une s\u00e9curit\u00e9 des donn\u00e9es sur sol suisse et d'offrir une mise \u00e0 l'\u00e9chelle progressive des applications. A ce niveau, Exoscale, Infomaniak, Unit8 ainsi que d'autres entreprises de la Suisse romande ont \u00e9t\u00e9 approch\u00e9es, montrant un fort int\u00e9r\u00eat pour le projet et souhaitant contribuer de fa\u00e7on forte.\r\nLe deuxi\u00e8me axe adresse le \u00ab PME gap \u00bb, associ\u00e9 au manque d'une culture orient\u00e9e donn\u00e9es, le data mindset. Nous souhaitons amener des composantes m\u00e9thodologiques pour identifier les besoins et les cas d'utilisation potentiels de l'IA. Des activit\u00e9s de transfert de connaissances et de transfert technologiques bas\u00e9s sur les outils d\u00e9velopp\u00e9s dans l'axe 1 seront d\u00e9velopp\u00e9es dans cet axe. Finalement, un service de pr\u00e9paration aux accr\u00e9ditations d'IA sera propos\u00e9. Dans le cadre de ce deuxi\u00e8me axe, nous souhaitons ouvrir le projet aux autres domaines de la HES-SO, dont le domaine \u00c9conomie et Services (ann\u00e9es 2-4 du projet).\r\nA l'interface et en support de ces deux axes, le troisi\u00e8me axe vise le d\u00e9veloppement du premier Centre Suisse d'IA pour les PME ' CSIA-PME. Nous souhaitons mettre en r\u00e9seau les 70 chercheurs actifs en IA sur les 5 sites de la HES-SO en cartographiant leurs expertises. Le CSIA PME a le potentiel d'augmenter le volume des projets IA dans les diff\u00e9rents sites et de positionner la HES-SO comme acteur majeur en IA dans le paysage suisse romand. 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L'outil prendra la forme d'un pipeline modulaire hautement configurable et int\u00e9grera une collection de techniques avanc\u00e9es pour l'analyse de donn\u00e9es que nous d\u00e9veloppons dans nos projets R&D ; le c'ur de ce pipeline \u00e9tant notre m\u00e9thode de mod\u00e9lisation floue. Le pipeline sera gourmand en puissance de calcul et demandera une plateforme de calcul performante. Nous envisageons, d'un c\u00f4t\u00e9, une solution purement logicielle : cluster, serveur. D'un autre c\u00f4t\u00e9, pour diminuer les \u00e9ventuels co\u00fbts \u00e9lev\u00e9s en termes d'infrastructure et de consommation d'\u00e9nergie, nous allons aussi int\u00e9grer un acc\u00e9l\u00e9rateur mat\u00e9riel offrant une haute performance en termes de vitesse et d'efficacit\u00e9 \u00e9nerg\u00e9tique."},"de":{"id":6738,"title":"High-peformance Pipeline for Fuzzy Modelling in Bioinformatics (Pipeline de mod\u00e9lisation floue \u00e0 haute performance pour la bioinformatique )","description":"Ce projet vise \u00e0 d\u00e9velopper une m\u00e9thodologie analytique, et l'outil informatique \u00e0 haute performance associ\u00e9, particuli\u00e8rement adapt\u00e9e aux donn\u00e9es et au probl\u00e8me de recherche de biomarqueurs en bioinformatique. 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architectures.","value":"5146.40","finished":true,"pilier":5,"url":null,"keywords":null,"disciplines":[],"axes":[],"partners":[{"id":1836926,"name":"","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"hepia inIT","class":"academique"},{"id":1836927,"name":"Upegui Posada Andres","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"hepia inIT","class":"academique"}],"collaborators":[{"id":7765048,"role":"RP","display":false,"displayRole":true,"displayFinancialPartner":false,"displayAcademicPartner":false,"displayProfessionalPartner":false,"collaborator":"andres.upeguipo","project":41417}],"dataHub":true,"startAt":"2014-01-01T00:00:00+01:00","endAt":"2014-12-31T00:00:00+01:00","fundingSource":"SATW Germaine de Sta\u00ebl","publications":[],"projectUrl":null,"repo_name":null}}

{"id":7764905,"role":"CO","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":8506,"title":"R\u00e9seau de capteurs sans fils pour le suivi de l'activit\u00e9 physique des personnes handicap\u00e9es","description":"Physical inactivity has been identified as a major contributor to the exacerbation of physical illnesses. The WHO identified it as the fourth leading risk factor of global mortality after high blood pressure, tobacco use and high blood glucose. Therefore, in recent years, many actions against inactivity have come to the fore. For instance, diverse pedometer devices have been developed to help people reach certain physical activity goals, like walking 30 minutes per day. However, an equivalent recommendation for disabled people using wheelchairs is missing and the few studies that have dealt with this issue concluded that commercial physical activity measurement devices are not appropriate for them. This project has the objective of developing an embedded physical activity measurement system for disabled people using wheelchairs, by exploiting on-body and wheelchair-mounted wireless sensors. This project will gather together data scientists (Pr. Perez-Uribe), embedded systems designers (Pr. Upegui & Pr. Giandomenico), biomechanics experts (Pr. Schmitt) and Human motricity and handicap experts (Pr. Degache). During the first phase of the project, we will use diverse configurations of sensors (motion, ECG, EMG) to assess the physical activity of able-bodied people on a wheelchair. We will first use off-the-shelf sensors to capture data and apply feature-extraction and machine learning techniques to the sensor readings in order to come-up with non-linear models matching the relationship between raw data and energy expenditure, provided by a portable metabolic cart. In parallel, we will develop our own embedded hardware to optimize size, maximize comfort, and minimize costs. Diverse activities like resting, deskwork, and wheelchair propulsion along different surfaces and slopes will be considered. During the second phase, we will evaluate our system with disabled patients suffering from Spinal Cord Injury in collaboration with the Swiss Paraplegic Centre or the SuvaCare (the HESAV team will submit a project proposal in October to fund their contribution during this phase). The result of this project will be an embedded system for home monitoring of the physical activity of disabled people, which can be used to promote ACTIvity as an antiDOTE to illness exacerbation, and for instance, to track the evolution of mobility during rehabilitation. ACTIDOTE aims at closing a gap regarding the availability of self-tracking\/motivational devices among disabled people."},"en":{"id":8507,"title":"R\u00e9seau de capteurs sans fils pour le suivi de l'activit\u00e9 physique des personnes handicap\u00e9es","description":"Physical inactivity has been identified as a major contributor to the exacerbation of physical illnesses. The WHO identified it as the fourth leading risk factor of global mortality after high blood pressure, tobacco use and high blood glucose. Therefore, in recent years, many actions against inactivity have come to the fore. For instance, diverse pedometer devices have been developed to help people reach certain physical activity goals, like walking 30 minutes per day. However, an equivalent recommendation for disabled people using wheelchairs is missing and the few studies that have dealt with this issue concluded that commercial physical activity measurement devices are not appropriate for them. This project has the objective of developing an embedded physical activity measurement system for disabled people using wheelchairs, by exploiting on-body and wheelchair-mounted wireless sensors. This project will gather together data scientists (Pr. Perez-Uribe), embedded systems designers (Pr. Upegui & Pr. Giandomenico), biomechanics experts (Pr. Schmitt) and Human motricity and handicap experts (Pr. Degache). During the first phase of the project, we will use diverse configurations of sensors (motion, ECG, EMG) to assess the physical activity of able-bodied people on a wheelchair. We will first use off-the-shelf sensors to capture data and apply feature-extraction and machine learning techniques to the sensor readings in order to come-up with non-linear models matching the relationship between raw data and energy expenditure, provided by a portable metabolic cart. In parallel, we will develop our own embedded hardware to optimize size, maximize comfort, and minimize costs. Diverse activities like resting, deskwork, and wheelchair propulsion along different surfaces and slopes will be considered. During the second phase, we will evaluate our system with disabled patients suffering from Spinal Cord Injury in collaboration with the Swiss Paraplegic Centre or the SuvaCare (the HESAV team will submit a project proposal in October to fund their contribution during this phase). The result of this project will be an embedded system for home monitoring of the physical activity of disabled people, which can be used to promote ACTIvity as an antiDOTE to illness exacerbation, and for instance, to track the evolution of mobility during rehabilitation. ACTIDOTE aims at closing a gap regarding the availability of self-tracking\/motivational devices among disabled people."},"de":{"id":8508,"title":"R\u00e9seau de capteurs sans fils pour le suivi de l'activit\u00e9 physique des personnes handicap\u00e9es","description":"Physical inactivity has been identified as a major contributor to the exacerbation of physical illnesses. The WHO identified it as the fourth leading risk factor of global mortality after high blood pressure, tobacco use and high blood glucose. Therefore, in recent years, many actions against inactivity have come to the fore. For instance, diverse pedometer devices have been developed to help people reach certain physical activity goals, like walking 30 minutes per day. However, an equivalent recommendation for disabled people using wheelchairs is missing and the few studies that have dealt with this issue concluded that commercial physical activity measurement devices are not appropriate for them. This project has the objective of developing an embedded physical activity measurement system for disabled people using wheelchairs, by exploiting on-body and wheelchair-mounted wireless sensors. This project will gather together data scientists (Pr. Perez-Uribe), embedded systems designers (Pr. Upegui & Pr. Giandomenico), biomechanics experts (Pr. Schmitt) and Human motricity and handicap experts (Pr. Degache). During the first phase of the project, we will use diverse configurations of sensors (motion, ECG, EMG) to assess the physical activity of able-bodied people on a wheelchair. We will first use off-the-shelf sensors to capture data and apply feature-extraction and machine learning techniques to the sensor readings in order to come-up with non-linear models matching the relationship between raw data and energy expenditure, provided by a portable metabolic cart. In parallel, we will develop our own embedded hardware to optimize size, maximize comfort, and minimize costs. Diverse activities like resting, deskwork, and wheelchair propulsion along different surfaces and slopes will be considered. During the second phase, we will evaluate our system with disabled patients suffering from Spinal Cord Injury in collaboration with the Swiss Paraplegic Centre or the SuvaCare (the HESAV team will submit a project proposal in October to fund their contribution during this phase). The result of this project will be an embedded system for home monitoring of the physical activity of disabled people, which can be used to promote ACTIvity as an antiDOTE to illness exacerbation, and for instance, to track the evolution of mobility during rehabilitation. ACTIDOTE aims at closing a gap regarding the availability of self-tracking\/motivational devices among disabled people."}},"id":42555,"acronym":"ACTIDOTE \/ MED","mainTitle":"R\u00e9seau de capteurs sans fils pour le suivi de l'activit\u00e9 physique des personnes handicap\u00e9es","mainDescription":"Physical inactivity has been identified as a major contributor to the exacerbation of physical illnesses. The WHO identified it as the fourth leading risk factor of global mortality after high blood pressure, tobacco use and high blood glucose. Therefore, in recent years, many actions against inactivity have come to the fore. For instance, diverse pedometer devices have been developed to help people reach certain physical activity goals, like walking 30 minutes per day. However, an equivalent recommendation for disabled people using wheelchairs is missing and the few studies that have dealt with this issue concluded that commercial physical activity measurement devices are not appropriate for them. This project has the objective of developing an embedded physical activity measurement system for disabled people using wheelchairs, by exploiting on-body and wheelchair-mounted wireless sensors. This project will gather together data scientists (Pr. Perez-Uribe), embedded systems designers (Pr. Upegui & Pr. Giandomenico), biomechanics experts (Pr. Schmitt) and Human motricity and handicap experts (Pr. Degache). During the first phase of the project, we will use diverse configurations of sensors (motion, ECG, EMG) to assess the physical activity of able-bodied people on a wheelchair. We will first use off-the-shelf sensors to capture data and apply feature-extraction and machine learning techniques to the sensor readings in order to come-up with non-linear models matching the relationship between raw data and energy expenditure, provided by a portable metabolic cart. In parallel, we will develop our own embedded hardware to optimize size, maximize comfort, and minimize costs. Diverse activities like resting, deskwork, and wheelchair propulsion along different surfaces and slopes will be considered. During the second phase, we will evaluate our system with disabled patients suffering from Spinal Cord Injury in collaboration with the Swiss Paraplegic Centre or the SuvaCare (the HESAV team will submit a project proposal in October to fund their contribution during this phase). The result of this project will be an embedded system for home monitoring of the physical activity of disabled people, which can be used to promote ACTIvity as an antiDOTE to illness exacerbation, and for instance, to track the evolution of mobility during rehabilitation. ACTIDOTE aims at closing a gap regarding the availability of self-tracking\/motivational devices among disabled people.","value":"249990.00","finished":true,"pilier":6,"url":null,"keywords":"Analyse sensorielle, Capteur, Data analysis, IICT-TCOM, Medical technologies, Pattern recognition, nomad systems","disciplines":[],"axes":[],"partners":[{"id":1836857,"name":"","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"IICT","class":"academique"},{"id":1836858,"name":"","confidential":false,"types":[{"id":4,"code":"CO"}],"institution":"COMATEC","class":"academique"},{"id":1836859,"name":"","confidential":false,"types":[{"id":4,"code":"CO"}],"institution":"VD-HESAV","class":"academique"},{"id":1836860,"name":"","confidential":false,"types":[{"id":4,"code":"CO"}],"institution":"hepia inSTI","class":"academique"},{"id":1836861,"name":"","confidential":false,"types":[{"id":4,"code":"CO"}],"institution":"hepia inIT","class":"academique"},{"id":1836862,"name":"Perez-Uribe Andres","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"IICT","class":"academique"}],"collaborators":[{"id":7764905,"role":"CO","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":42555},{"id":7764906,"role":"CO","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"nicola.giandome","project":42555},{"id":7764907,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"hectorfa.satizaba","project":42555},{"id":7764908,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"yannick.charrott","project":42555},{"id":7764909,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"alexandr.grillon","project":42555},{"id":7764910,"role":"ME","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"laurent.gantel","project":42555},{"id":7764911,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"christop.greppin","project":42555},{"id":7764912,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"adrienma.lescourt","project":42555},{"id":7764913,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"clement.rastoll","project":42555},{"id":7764914,"role":"RP","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.perezuri","project":42555},{"id":7764915,"role":"CO","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"carl.schmitt","project":42555}],"dataHub":true,"startAt":"2014-12-01T00:00:00+01:00","endAt":"2016-09-30T00:00:00+02:00","fundingSource":"HES-SO Rectorat","publications":[],"projectUrl":null,"repo_name":null}}

{"id":7757593,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":10741,"title":"IoT Week","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."},"en":{"id":10742,"title":"IoT Week","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."},"de":{"id":10743,"title":"IoT Week","description":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG."}},"id":68169,"acronym":"IoT Week","mainTitle":"IoT Week","mainDescription":"Organisation de la conf\u00e9rence IoT Week (http:\/\/iot-week.eu\/). La HES-SO est l'un des co-organisateurs, avec l'IUT, IoT Forum et Mandat International. Cette conf\u00e9rence aura lieu du 6 au 9 Juin 2017 au CICG.","value":"364575.00","finished":true,"pilier":6,"url":null,"keywords":null,"disciplines":[],"axes":[],"partners":[{"id":1834237,"name":null,"confidential":false,"types":[{"id":2,"code":"TER"},{"id":5,"code":"TERRAIN"}],"institution":"Conf\u00e9d\u00e9ration Suisse","class":"professionnel"}],"collaborators":[{"id":7757593,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":68169},{"id":7757594,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"catherin.fraterna","project":68169},{"id":7757595,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"joanna.kunikows","project":68169},{"id":7757596,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"anthony.boulmier","project":68169},{"id":7757597,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"anabela.inacio","project":68169},{"id":7757598,"role":"ME","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"delphine.bechevet","project":68169},{"id":7757599,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"michael.minelli","project":68169},{"id":7757600,"role":"RP","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"nabil.abdennad","project":68169}],"dataHub":true,"startAt":"2016-11-01T00:00:00+01:00","endAt":"2017-08-31T00:00:00+02:00","fundingSource":"hepia inIT; Location stands; Sponsors; Inscriptions conf\u00e9rence; hepia inIT","publications":[],"projectUrl":null,"repo_name":null}}

{"id":7755967,"role":"CO","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":{"translations":{"fr":{"id":9622,"title":"Assistant portatif permettant d'assurer la s\u00e9curit\u00e9 de groupes d'enfants lors de sorties","description":"Every child has temporarily been lost when visiting a crowded place in the city. In most cases, the child is rapidly located. However, many parents and childminders taking care of a group of children would certainly desire to have a virtual assistant capable of alerting them when a child moves away or he\/she feels threatened (e.g., the child lost his carers or is approached by a stranger). Indeed, according to the MCE (Missing Children Europe) foundation, a child is reported missing every 2 minutes in Europe, and a rapid response can prevent dangers and avoid the child's abduction. Current solutions are based on GPS- endowed watches which do not properly work indoors, are power hungry and do not detect stressful situations. We propose to develop the WEAZARD system, a WEArable system to overcome potential haZARDs while going out with children. In contrast to existing systems, WEAZARD allows for relative positioning in indoor environments where GPS is not available. It will be based on a series of wearable devices (e.g., wristbands) integrating mainly a GSR sensor (previously developed by the Archsensor project) and Bluetooth LE communication capabilities. A tablet or smartphone application will collect information regarding the approximate distance of the children wearing the wristbands and will generate alarms when a child is out of reach and\/or he\/she is stressed. The wearable devices will be endowed with simple communication capabilities, such that they can read information from beacons pre- installed in the environment, and relay such information to other wristbands and to the master tablet\/smartphone application. The novelty of our solution lies in the development of algorithms to properly and safely deal with this information to estimate relative localization, the proximity of out-of-sight users to other users, and to detect potential threats. Such a system can be used by childminders or families while going out in the city (e.g., taking the subway, visiting a museum, a mall, etc) or attending a large public event (e.g., comptoir suisse). Because anyone with the right hardware is capable of receiving and sending beacons, an attacker could potentially inject forged messages that could break the location estimation algorithms. Forged messages could also spoof the identity of a wristband so that a child who is no longer present still appears to be there. Security protocols will be used to authenticate the information relayed to avoid these kinds of events."},"en":{"id":9623,"title":"Assistant portatif permettant d'assurer la s\u00e9curit\u00e9 de groupes d'enfants lors de sorties","description":"Every child has temporarily been lost when visiting a crowded place in the city. In most cases, the child is rapidly located. However, many parents and childminders taking care of a group of children would certainly desire to have a virtual assistant capable of alerting them when a child moves away or he\/she feels threatened (e.g., the child lost his carers or is approached by a stranger). Indeed, according to the MCE (Missing Children Europe) foundation, a child is reported missing every 2 minutes in Europe, and a rapid response can prevent dangers and avoid the child's abduction. Current solutions are based on GPS- endowed watches which do not properly work indoors, are power hungry and do not detect stressful situations. We propose to develop the WEAZARD system, a WEArable system to overcome potential haZARDs while going out with children. In contrast to existing systems, WEAZARD allows for relative positioning in indoor environments where GPS is not available. It will be based on a series of wearable devices (e.g., wristbands) integrating mainly a GSR sensor (previously developed by the Archsensor project) and Bluetooth LE communication capabilities. A tablet or smartphone application will collect information regarding the approximate distance of the children wearing the wristbands and will generate alarms when a child is out of reach and\/or he\/she is stressed. The wearable devices will be endowed with simple communication capabilities, such that they can read information from beacons pre- installed in the environment, and relay such information to other wristbands and to the master tablet\/smartphone application. The novelty of our solution lies in the development of algorithms to properly and safely deal with this information to estimate relative localization, the proximity of out-of-sight users to other users, and to detect potential threats. Such a system can be used by childminders or families while going out in the city (e.g., taking the subway, visiting a museum, a mall, etc) or attending a large public event (e.g., comptoir suisse). Because anyone with the right hardware is capable of receiving and sending beacons, an attacker could potentially inject forged messages that could break the location estimation algorithms. Forged messages could also spoof the identity of a wristband so that a child who is no longer present still appears to be there. Security protocols will be used to authenticate the information relayed to avoid these kinds of events."},"de":{"id":9624,"title":"Assistant portatif permettant d'assurer la s\u00e9curit\u00e9 de groupes d'enfants lors de sorties","description":"Every child has temporarily been lost when visiting a crowded place in the city. In most cases, the child is rapidly located. However, many parents and childminders taking care of a group of children would certainly desire to have a virtual assistant capable of alerting them when a child moves away or he\/she feels threatened (e.g., the child lost his carers or is approached by a stranger). Indeed, according to the MCE (Missing Children Europe) foundation, a child is reported missing every 2 minutes in Europe, and a rapid response can prevent dangers and avoid the child's abduction. Current solutions are based on GPS- endowed watches which do not properly work indoors, are power hungry and do not detect stressful situations. We propose to develop the WEAZARD system, a WEArable system to overcome potential haZARDs while going out with children. In contrast to existing systems, WEAZARD allows for relative positioning in indoor environments where GPS is not available. It will be based on a series of wearable devices (e.g., wristbands) integrating mainly a GSR sensor (previously developed by the Archsensor project) and Bluetooth LE communication capabilities. A tablet or smartphone application will collect information regarding the approximate distance of the children wearing the wristbands and will generate alarms when a child is out of reach and\/or he\/she is stressed. The wearable devices will be endowed with simple communication capabilities, such that they can read information from beacons pre- installed in the environment, and relay such information to other wristbands and to the master tablet\/smartphone application. The novelty of our solution lies in the development of algorithms to properly and safely deal with this information to estimate relative localization, the proximity of out-of-sight users to other users, and to detect potential threats. Such a system can be used by childminders or families while going out in the city (e.g., taking the subway, visiting a museum, a mall, etc) or attending a large public event (e.g., comptoir suisse). Because anyone with the right hardware is capable of receiving and sending beacons, an attacker could potentially inject forged messages that could break the location estimation algorithms. Forged messages could also spoof the identity of a wristband so that a child who is no longer present still appears to be there. Security protocols will be used to authenticate the information relayed to avoid these kinds of events."}},"id":51428,"acronym":"iNUIT-2015-009 - WEAZARD","mainTitle":"Assistant portatif permettant d'assurer la s\u00e9curit\u00e9 de groupes d'enfants lors de sorties","mainDescription":"Every child has temporarily been lost when visiting a crowded place in the city. In most cases, the child is rapidly located. However, many parents and childminders taking care of a group of children would certainly desire to have a virtual assistant capable of alerting them when a child moves away or he\/she feels threatened (e.g., the child lost his carers or is approached by a stranger). Indeed, according to the MCE (Missing Children Europe) foundation, a child is reported missing every 2 minutes in Europe, and a rapid response can prevent dangers and avoid the child's abduction. Current solutions are based on GPS- endowed watches which do not properly work indoors, are power hungry and do not detect stressful situations. We propose to develop the WEAZARD system, a WEArable system to overcome potential haZARDs while going out with children. In contrast to existing systems, WEAZARD allows for relative positioning in indoor environments where GPS is not available. It will be based on a series of wearable devices (e.g., wristbands) integrating mainly a GSR sensor (previously developed by the Archsensor project) and Bluetooth LE communication capabilities. A tablet or smartphone application will collect information regarding the approximate distance of the children wearing the wristbands and will generate alarms when a child is out of reach and\/or he\/she is stressed. The wearable devices will be endowed with simple communication capabilities, such that they can read information from beacons pre- installed in the environment, and relay such information to other wristbands and to the master tablet\/smartphone application. The novelty of our solution lies in the development of algorithms to properly and safely deal with this information to estimate relative localization, the proximity of out-of-sight users to other users, and to detect potential threats. Such a system can be used by childminders or families while going out in the city (e.g., taking the subway, visiting a museum, a mall, etc) or attending a large public event (e.g., comptoir suisse). Because anyone with the right hardware is capable of receiving and sending beacons, an attacker could potentially inject forged messages that could break the location estimation algorithms. 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