Supporting ambient assisting living by using executable context-adaptive task models

[EN] The amount of elderly people with chronic diseases is constantly increasing, and current health systems are not able to provide a proper supervision. Ambient Assisted Living (AAL) is a new research area that stands for the use of pervasive and mobile technologies in order to increase the qualit...

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Autores: Serral Asensio, Estefanía, Valderas, Pedro|||0000-0002-4156-0675, Pelechano Ferragud, Vicente|||0000-0003-1090-230X
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/52206
Acceso en línea:https://riunet.upv.es/handle/10251/52206
Access Level:acceso abierto
Palabra clave:Ambient Assisting Living
Smart environments
Models at runtime
Context adaptation
LENGUAJES Y SISTEMAS INFORMATICOS
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spelling Supporting ambient assisting living by using executable context-adaptive task modelsSerral Asensio, EstefaníaValderas, Pedro|||0000-0002-4156-0675Pelechano Ferragud, Vicente|||0000-0003-1090-230XAmbient Assisting LivingSmart environmentsModels at runtimeContext adaptationLENGUAJES Y SISTEMAS INFORMATICOS[EN] The amount of elderly people with chronic diseases is constantly increasing, and current health systems are not able to provide a proper supervision. Ambient Assisted Living (AAL) is a new research area that stands for the use of pervasive and mobile technologies in order to increase the quality of life, wellbeing and safety of elderly people. In this work, we present a tool-supported methodology to facilitate the creation of AAL systems through the use of executable models. AAL services are specified by executable context-adaptive task models by using concepts of a high level of abstraction, which facilitate the participation of medical professionals in the AAL specification. The task models are then interpreted and executed at runtime by a software infrastructure that automates the AAL services as specified. Thus, task models are the only implementation of the services, making it easy their further evolution after system deployment. In order to demonstrate the feasibility of our methodology, we have evaluated it in the development of an AAL system for assisting the patients of a nursing home.IARIADepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialRepositorio Institucional de la Universitat Politècnica de València Riunet20142014-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/52206reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Compartir igual (by-nc-sa) http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/522062026-06-13T07:49:27Z
dc.title.none.fl_str_mv Supporting ambient assisting living by using executable context-adaptive task models
title Supporting ambient assisting living by using executable context-adaptive task models
spellingShingle Supporting ambient assisting living by using executable context-adaptive task models
Serral Asensio, Estefanía
Ambient Assisting Living
Smart environments
Models at runtime
Context adaptation
LENGUAJES Y SISTEMAS INFORMATICOS
title_short Supporting ambient assisting living by using executable context-adaptive task models
title_full Supporting ambient assisting living by using executable context-adaptive task models
title_fullStr Supporting ambient assisting living by using executable context-adaptive task models
title_full_unstemmed Supporting ambient assisting living by using executable context-adaptive task models
title_sort Supporting ambient assisting living by using executable context-adaptive task models
dc.creator.none.fl_str_mv Serral Asensio, Estefanía
Valderas, Pedro|||0000-0002-4156-0675
Pelechano Ferragud, Vicente|||0000-0003-1090-230X
author Serral Asensio, Estefanía
author_facet Serral Asensio, Estefanía
Valderas, Pedro|||0000-0002-4156-0675
Pelechano Ferragud, Vicente|||0000-0003-1090-230X
author_role author
author2 Valderas, Pedro|||0000-0002-4156-0675
Pelechano Ferragud, Vicente|||0000-0003-1090-230X
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Ambient Assisting Living
Smart environments
Models at runtime
Context adaptation
LENGUAJES Y SISTEMAS INFORMATICOS
topic Ambient Assisting Living
Smart environments
Models at runtime
Context adaptation
LENGUAJES Y SISTEMAS INFORMATICOS
description [EN] The amount of elderly people with chronic diseases is constantly increasing, and current health systems are not able to provide a proper supervision. Ambient Assisted Living (AAL) is a new research area that stands for the use of pervasive and mobile technologies in order to increase the quality of life, wellbeing and safety of elderly people. In this work, we present a tool-supported methodology to facilitate the creation of AAL systems through the use of executable models. AAL services are specified by executable context-adaptive task models by using concepts of a high level of abstraction, which facilitate the participation of medical professionals in the AAL specification. The task models are then interpreted and executed at runtime by a software infrastructure that automates the AAL services as specified. Thus, task models are the only implementation of the services, making it easy their further evolution after system deployment. In order to demonstrate the feasibility of our methodology, we have evaluated it in the development of an AAL system for assisting the patients of a nursing home.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/52206
url https://riunet.upv.es/handle/10251/52206
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IARIA
publisher.none.fl_str_mv IARIA
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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