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    An alysis of Emotion: An approach from artificial intelligencie perspective

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    10.06.14.HC Studies Definitivo.pdf (503.3Kb) 
    Date
    2014-07-21
    Author
    Castro M., Jaime
    Quintero M., O. Lucia
    Mejia M., Susana
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    Abstract
    Articulo de investigación aplicada, 2014
     
    Modeling emotions can contribute to undersand human emotions, to add emotional capacities to machines and to inprove appraisals om emotional state. In this work five models, using fussy logi, artifial neuronal networks, and a hybrid of both, are presented developed and evaluated, with the aim to infer the emotional state of children from external physiological measurements took from a picture and compared to the canon´s proportion fed the models as imputs, that fuzzy logic is a good tool to work with the blurry nature of emotions.
     
    URI
    http://hdl.handle.net/10823/513
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