Adrien Lescourt

adrienma.lescourt 325142337 Lescourt Adrien adrien.lescourt@hesge.ch fr 1 Off On
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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. 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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. 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{"id":7755969,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"adrienma.lescourt","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. 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.","value":"145000.00","finished":true,"pilier":6,"url":null,"keywords":"Children safety, IICT-TCOM, IoT security, Local communication, Stress sensing, Wearable devices","disciplines":[],"axes":[],"partners":[{"id":1833468,"name":"","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"IICT","class":"academique"},{"id":1833469,"name":"","confidential":false,"types":[{"id":4,"code":"CO"}],"institution":"hepia inIT","class":"academique"},{"id":1833470,"name":"Perez-Uribe Andres","confidential":false,"types":[{"id":3,"code":"RP"},{"id":4,"code":"CO"}],"institution":"IICT","class":"academique"}],"collaborators":[{"id":7755967,"role":"CO","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.upeguipo","project":51428},{"id":7755968,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"hectorfa.satizaba","project":51428},{"id":7755969,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"adrienma.lescourt","project":51428},{"id":7755970,"role":"ME","display":false,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"abraham.rubinste","project":51428},{"id":7755971,"role":"RP","display":true,"displayRole":true,"displayFinancialPartner":true,"displayAcademicPartner":true,"displayProfessionalPartner":true,"collaborator":"andres.perezuri","project":51428}],"dataHub":true,"startAt":"2016-01-01T00:00:00+01:00","endAt":"2017-06-30T00:00:00+02:00","fundingSource":"HES-SO Rectorat","publications":[],"projectUrl":null,"repo_name":null}}
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