• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Scholarly Articles
    • View Item
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Scholarly Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Typicality degrees to measure relevance of the physiological signals

    Thumbnail
    View/Open
    Conference paper (214.8Kb)
    Author
    Orero, Joseph Onderi
    Metadata
    Show full item record
    Abstract
    Physiological measures have a key advantage as they can provide an insight into human feelings that the subjects may not even be consciously aware of. However, modeling user affective states through pysiology still remains with critical questions especially on the relevant physiological measures for real-life emotionally intelligent applications. In this study, we propose the use of typicality degrees defined according to cognitive science and psychology principles to measure the relevance of the physiological features in characterizing user affective states. Thanks to the typicality degrees, we found consistent physiological characteristics for modeling user affective states.
    URI
    http://hdl.handle.net/11071/3846
    Collections
    • FIT Scholarly Articles [56]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV