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Building Self-adaptive Services for Ambient Assisted Living

  • Pau Giner
  • Carlos Cetina
  • Joan Fons
  • Vicente Pelechano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5518)

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.

Keywords

Smart Home Elderly User Fall Detection Autonomic Computing Ambient Assist Live 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pau Giner
    • 1
  • Carlos Cetina
    • 1
  • Joan Fons
    • 1
  • Vicente Pelechano
    • 1
  1. 1.Centro de Investigación en Métodos de Producción de SoftwareUniversidad Politécnica de ValenciaValenciaSpain

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