Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/44590
Type of publication: Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2)
Field of Science: Matematika / Mathematics (N001)
Author(s): Kaminskas, Vytautas;Vidugirienė, Aušra;Vaškevičius, Egidijus
Title: A comparison of identification models for human emotions as reactions to a dynamical virtual face
Is part of: Data analysis methods for software systems : 6th international workshop, Druskininkai, Lithuania, December 4-6, 2014 : [abstracts book]. Vilnius : Vilnius University
Extent: p. 28-28
Date: 2014
ISBN: 9789986680505
Abstract: The report presents the research of dependencies between human emotional signals (excitement and frustration) and virtual dynamical stimulus (virtual 3D face with changing distance between eyes). The dependencies are described by linear “input-output” type models. Emotional signals are received using EEG measuring device Emotiv Epoc with 14 channels. Recorded signals are pre-processed automatically using the device and specialized software and relative values of emotional signals are used for modelling. Two model identification methods are proposed – modified correlation-based and the least squares method with projection to a stability domain what ensures building of stable models. Identification was performed using two types of stimuli for nine volunteers. Validation results of the models showed, that they predict emotional signals with a relatively high accuracy – absolute relative error of excitement prediction does not exceed 9% and absolute relative error of frustration prediction does not exceed 3%
Internet: https://hdl.handle.net/20.500.12259/44590
Affiliation(s): Informatikos fakultetas
Sistemų analizės katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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