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    Cluster Analytic Detection of Disgust-Arousal

    Access Status
    Fulltext not available
    Authors
    Khan, Masood Mehmood
    Date
    2009
    Type
    Conference Paper
    
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    Citation
    Khan, Masood Mehmood. 2009. Cluster Analytic Detection of Disgust-Arousal, in TBC (ed), The IEEE 9th International Conference on Intelligent Systems Design and Applications (ISDA), Nov 30-Dec 2 2009. Pisa, Italy: IEEE Computer Society.
    Source Title
    Proceedings of The IEEE 9th International Conference on Intelligent Systems Design and Applications (ISDA)
    Source Conference
    The IEEE 9th International Conference on Intelligent Systems Design and Applications (ISDA)
    DOI
    10.1109/ISDA.2009.91
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/16573
    Collection
    • Curtin Research Publications
    Abstract

    Automated detection of disgust-arousal could have applications in diagnosing and treating obsessive-compulsive disorder and Huntington’s disease. For achieving this ability, experimental data was used first to examine the thermal response of “facial muscles of disgust” to other common negative and positive expressions of emotive states. An attempt was then made to detect disgust-arousal through classification of affect-educed thermal variations measured along the facial muscles. Initial results suggest (i) muscles of disgust experience different levels of thermal variations under the influence of various emotive state and (ii) emotion-educed facial thermal patterns can be modeled as stochastically independent clusters to be separated as linear spaces and making automated detection of disgust-arousal possible.

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