Fall detection using biologically inspired monitoring: artificial immune system in the area of assisted living

Sebastian Bersch, Djamel Azzi, Rinat Khusainov

    Research output: Contribution to conferencePoster

    103 Downloads (Pure)

    Abstract

    This position paper supports the use of Artificial Immune System (AIS) in the area of Ambient Assisted Living (AAL). While AIS has been used for anomaly detection and classification in a wide range of applications, little work has been done on using AIS for detecting abnormal behaviour in health monitoring applications. In this paper, we propose to use AIS for fall detection, since falls can be seen as deviations from the normal behaviour. We justify our proposal by analysing research that has been carried out in the past using AIS in different fields and emphasising on the similarities to the area of AAL. The paper also describes the experimental setup that is currently being used for our current and future work.
    Original languageEnglish
    Publication statusPublished - Oct 2011
    EventInternational Conference on Evolutionary Computation Theory and Applications - Paris, France
    Duration: 24 Oct 201126 Oct 2011

    Conference

    ConferenceInternational Conference on Evolutionary Computation Theory and Applications
    Country/TerritoryFrance
    CityParis
    Period24/10/1126/10/11

    Fingerprint

    Dive into the research topics of 'Fall detection using biologically inspired monitoring: artificial immune system in the area of assisted living'. Together they form a unique fingerprint.

    Cite this