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