Behaviour Pattern Based Safety Assistant for the Elderly

Andreas Hochgatterer (Vortragende:r), Barbara Prazak, Gerhard Russ, Jamal Kasbi, Thomas Fuxreiter

    Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

    Abstract

    The business divisions Biomedical Engineering and Smart Systems of the Austrian Research Centers have been working since January 2006 on a research project called S.A.F.E.: Safety Assistant for the Elderly, with the goal to come up with an innovative solution to support independent living, safety and the high-quality provision of care for elderly. Core of the project is a wireless intelligent sensor network which detects the activities and movements of a person in an apartment environment and a behavior pattern recognition component which is able to automitically detect deviations from normal behaviour and to deliver an alarm to the user or to caregivers. The combination of a self-learning and state machine based approach is described and first results from the trial sites are presented.
    OriginalspracheEnglisch
    TitelChallenges for Assistive Technology
    Redakteure/-innenGorka Eizmendi, José Miguel Azkoitia, Gerald M. Craddock
    Herausgeber (Verlag)IOS Press
    Seiten170-174
    Seitenumfang5
    ISBN (Print)978-1-58603-791-8
    PublikationsstatusVeröffentlicht - 2007
    Veranstaltung9th European Conference for the Advancement of Assistive Technology in Europe,Spanien -
    Dauer: 1 Jan. 2007 → …

    Konferenz

    Konferenz9th European Conference for the Advancement of Assistive Technology in Europe,Spanien
    Zeitraum1/01/07 → …

    Research Field

    • Nicht definiert

    Schlagwörter

    • Smart Home
    • Ambient Assisted Living
    • Safety Assistant
    • Behaviour Pattern Recognition

    Fingerprint

    Untersuchen Sie die Forschungsthemen von „Behaviour Pattern Based Safety Assistant for the Elderly“. Zusammen bilden sie einen einzigartigen Fingerprint.

    Diese Publikation zitieren