Interpretation of the emotion characteristics through the analysis of attractors reconstructed on EEG signals

N. N. Filatova ; K. V. Sidorov

Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 57-76.

Résumé

The article describes a dynamic model that allows to monitor a change in the direction of human emotions development in the course of a sequence reactions to external stimuli. This problem is solved by forming a new system of signs characterizing the morphology of the attractor reconstructed from the EEG signals. Changes in the testee emotional state are evaluated using a fuzzy estimation of the three characteristics of the attractors reconstructed EEG signals. The emotions monitoring results are presented in the form of a matrix with increments of the attractors characteristics assessments, defined by the additional index scale that allows for each element of a fuzzy set to generate a numerical evaluation using the index term and the membership function.

Détail

Keywords: model of emotion, emotion recognition, attractor, fuzzy sets.

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