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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Detalles Bibliográficos
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
Descripción
Sumario:[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.