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<item>
  <id>05984959</id>
  <dt>a</dt>
  <an>05984959</an>
  <augroup>
    <au>Antonino, Pablo Oliveira</au>
    <au>Schneider, Daniel</au>
    <au>Hofmann, Cristian</au>
    <au>Nakagawa, Elisa Yumi</au>
  </augroup>
  <ti>Evaluation of AAL platforms according to architecture-based quality attributes.</ti>
  <so>Keyson, David V. (ed.) et al., Ambient intelligence. Second international joint conference on AmI 2011, Amsterdam, The Netherlands, November 16--18, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25166-5/pbk). Lecture Notes in Computer Science 7040, 264-274 (2011).</so>
  <py>2011</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Ambient Assisted Living (AAL)</ut>
    <ut>AAL platform</ut>
    <ut>system architecture</ut>
    <ut>quality attribute</ut>
    <ut>evaluation</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-25167-2_36</li>
  </ligroup>
  <abgroup>
    <ab>Summary: In the Ambient Assisted Living (AAL) domain, specific systems have been developed and applied to enable people with specific needs, such as elderly or disabled people, to live longer independently in their familiar residential environments. In order to support the development of such systems, a range of AAL platforms have been developed in recent years. However, there are considerable differences among these AAL platforms, particularly with respect to the treatment of important non-functional properties. This makes the selection of a suitable platform for a given AAL project very difficult. In order to support developers in this difficult task, we present an evaluation of relevant AAL platforms based on a selection of quality attributes that are important for AAL systems.</ab>
    <rv></rv>
  </abgroup>
</item>