Sensor Infrastructures for Ambient Assisted Living

  • Olga Murdoch
  • Jessie Wan
  • Sameh Abdalla
  • Michael J. O’Grady
  • Gregory M. P. O’Hare


The presence of people on virtual social networks, their interactions, interests and their feedback can be perceived as inputs for assistive healthcare systems to predict a certain risk or condition. In this chapter we address the modern role of Ambient Assisted Living (AAL) in daily life activities. We emphasise the significance of integrating intelligent sensor infrastructures to current AAL architectures. We describe the main features and core architecture of a sensor middleware and introduce the service gateways provided to expand the range of data inputs within AAL architectures. Finally we present a motivating scenario of a healthcare service application, (i.e., iMED), which we are employing as an example to link AAL architectures and Sensor Middlewares.


Sensor Network Smart Home Pervasive Computing Ambient Assist Live Extensive Research Effort 
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.



Authors of this chapter would like to acknowledge the support of the Science Foundation Ireland (SFI) under grant 07/CE/I1147 as well as the European regional Development Fund (ERDF) for supporting the SC project through the Ireland Wales Program (INTERREG 4A).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Olga Murdoch
    • 1
  • Jessie Wan
    • 1
  • Sameh Abdalla
    • 1
  • Michael J. O’Grady
    • 1
  • Gregory M. P. O’Hare
    • 1
  1. 1.CLARITY: Centre for Sensor Web TechnologiesUniversity College DublinDublinIreland

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