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Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks

  • Björn-Helge Busch
  • , Alexander Kujath
  • , Heiko Witthöft
  • , Ralph Welge

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

    Abstract

    To antagonize the outcome of the demographic and the appending structural change also, a human centered assistance sys¬tem, that means an assistance system, which is completely user orientated, is introduced. The assistance system is realizing a predictive situation recognition with the aid of the evaluation of embedded, local actuators and sensor networks, to regulate and even if necessary to initiate preventive interventions in the user’s environment. The key part of the assistance system is a hierarchical arrangement of functional layers with different capabilities; a main role is taken by the pro¬babilistic modeling of system inherent activities through stochastic processes. This is demonstrated by a simplified exam¬ple of emergency case detection including a following diagnosis process, to clarify the excellence and the current weak¬ness of the assistance system.
    Original languageEnglish
    Title of host publicationAmbient Assisted Living : 4. AAL-Kongress 2011 in Berlin
    EditorsReiner Wichert, Birgid Eberhardt
    Number of pages21
    PublisherSpringer Verlag
    Publication date2011
    Pages159-179
    ISBN (Print)978-3-642-18166-5, 3-642-18166-X
    ISBN (Electronic)978-3-642-18167-2
    DOIs
    Publication statusPublished - 2011
    Event4. Kongress und Ausstellung zu Alltagsunterstützenden Assistenzlösungen / Active Assisted Living - AAL 2011 - Berlin, Germany
    Duration: 25.01.201126.01.2011
    Conference number: 4

    Research areas and keywords

    • Informatics
    • Hide Markov Model
    • Description Logic
    • State Sequence
    • Assistance System
    • Probabilistic Evaluation

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