• DocumentCode
    564930
  • Title

    A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors

  • Author

    Kropf, J. ; Roedl, L. ; Hochgatterer, A.

  • Author_Institution
    Health & Environ. Dept., AIT Austrian Inst. of Technol. GmbH, Wiener Neustadt, Austria
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    245
  • Lastpage
    251
  • Abstract
    This work describes a modular open source AAL framework for event recognition and smart home control. Various integrated tools simplify the configuration task, the personalization as well as the learning of activity models by a novel approach. Flexibility, standard compliant interfaces as well as the ability to transfer the system into new environments with little efforts have a strong focus. The paper describes the system architecture and the algorithms used.
  • Keywords
    graphical user interfaces; handicapped aids; home automation; learning (artificial intelligence); pattern recognition; public domain software; sensors; activity model learning; activity model personalization; activity recognition; event recognition; flexible system; modular open source AAL framework; nonobtrusive sensors; smart home control; standard compliant interfaces; system architecture; Hardware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012 6th International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-1483-1
  • Electronic_ISBN
    978-1-936968-43-5
  • Type

    conf

  • Filename
    6240401