An alysis of Emotion: An approach from artificial intelligencie perspective

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.