Michela Putzu
Representation of valence-arousal-dominance in the facial expression recognition application scenario.
Rel. Federica Marcolin, Francesco Ferrise. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
Abstract
In the study of emotions, there are different models for classifying emotion: categorical models, which describe them in terms of basic emotions and which are suitable for unimodal spaces, and dimensional models which classify emotions in terms of two or more dimensions. Several models have been developed over the years but only some of these are accepted by the scientific community. In order to provide a better representation of emotions, a new dimensional model was created, using Russell's circumplex model and the PAD emotional state model, developed by Albert Mehrabian and James A. Russell. Starting from an experimental database composed of 112 people, aged between 19 and 35 years, the experimentation involved the recording of the facial video (RGB and Depth) while viewing 48 images (which were selected from the IAPS and GAPED databases, database designed to arouse emotions) preceded by a training phase, consisting of the vision of 6 images.
These images were selected with the aim of arousing the basic emotions identified by Ekman (anger, fear, disgust, sadness, happiness and surprise) to which neutrality was added
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