Building Self-adaptive Services for Ambient Assisted Living

Authors:
Pau Giner;Carlos Cetina;Joan Fons;Vicente Pelechano
Affiliations:
Centro de Investigación en Métodos de Producción de Software, Universidad Politécnica de Valencia, Valencia, Spain 46022;Centro de Investigación en Métodos de Producción de Software, Universidad Politécnica de Valencia, Valencia, Spain 46022;Centro de Investigación en Métodos de Producción de Software, Universidad Politécnica de Valencia, Valencia, Spain 46022;Centro de Investigación en Métodos de Producción de Software, Universidad Politécnica de Valencia, Valencia, Spain 46022
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Abstract

Ambient Assisted Living (AAL) services are designed to cover the specific needs of elderly people. In a Smart Home environment many people can coexist requiring a continuous adjustment of the smart home services to their needs. The present work proposes a mechanism for the definition of self-adaptive AAL services that can dynamically reconfigure the Smart Home infrastructure without human intervention to fulfill the user requirements. Adaptation requirements are expressed in a declarative manner and AAL services are configured according to them. An OSGi-based infrastructure has been used to validate that the proposal can be applied in practice for an AAL context.