Geodesic
Interpretation of the emotion characteristics through the analysis of attractors reconstructed on EEG signals
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 57-76

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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. 
@article{FSSC_2016_11_1_a3,
     author = {N. N. Filatova and K. V. Sidorov},
     title = {Interpretation of the emotion characteristics through the analysis of attractors reconstructed on {EEG} signals},
     journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
     pages = {57--76},
     publisher = {mathdoc},
     volume = {11},
     number = {1},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a3/}
}
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N. N. Filatova; K. V. Sidorov. Interpretation of the emotion characteristics through the analysis of attractors reconstructed on EEG signals. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 57-76. http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a3/