Authors : Natalya N. Filatova, Konstantin V. Sidorov, Pavel D. Shemaev and Leonid V. Iliasov
Abstract: The study presents the results of the study of the dynamics of human emotional reactions connected with perceiving external auditory incentives. The initial data for the analysis and formation of hypotheses are the results of experiments with an automated multi-channel system “EEG/S”. During the experiments, testee’s emotional responses were registered in three channels: Electroencephalograms (EEG), speech signals and electrodermal activity. Methods of nonlinear dynamics are applied to analyze registered signals. Attractor reconstruction for several EEG signal leads allows observing changes in individual properties of these structures at the stages of incentive perception and after its removal. The study offers a fuzzy model of interpreting testee’s emotional state based on monitoring a trend of attractor characteristics. The researchers determined a number of regularities which appear in changes of attractor characteristics and in self-esteems of testee’s emotional states correlated with them. These regularities are used to form the rules for monitoring dynamics of human emotions.
Natalya N. Filatova, Konstantin V. Sidorov, Pavel D. Shemaev and Leonid V. Iliasov, 2017. Monitoring Attractor Characteristics as a Method of Objective Estimation of Testee’s Emotional State. Journal of Engineering and Applied Sciences, 12: 9164-9175.