Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/35329
Type of publication: Konferencijų tezės nerecenzuojamuose leidiniuose (T2);Conference theses in non-peer-reviewed publications (T2)
Field of Science: Informatikos inžinerija (T007);Informatics engineering (T007)
Author(s): Kaminskas, Vytautas;Ščiglinskas, Edgaras
Title: Control of human excitement as reactions to a dynamic virtual 3D face
Is part of: Data analysis methods for software systems : 8th international workshop, Druskininkai, Lithuania, December 1-3, 2016 : [abstracts book]. Vilnius : Vilnius University Institute of Data Science and Digital Technologies, 2016
Extent: p. 27-28
Date: 2016
ISBN: 9789986680611
Abstract: This paper introduces how generalized minimum variance control principles are applied to the control of human emotion – excitement signal. We use changing distance-between-eyes in a virtual 3D face as a stimulus - control signal. Human responses to the stimuli were observed using EEG based signal - excitement. We have investigated predictive input-output structure models for exploring dependencies between virtual 3D face features and human reaction to them. A generalized minimum variance control law is synthesized by minimizing quality control criterion in an admissible domain. Admissible domain is composed of control signal boundaries. Sufficiently good control quality of excitement signal (maintained signal level is at average about to 80% higher) is demonstrated by modelling results. We can decrease variations of the control signal using a limited signal variation speed or changing weights coefficient in a generalized minimum variance control
Internet: http://dx.doi.org/10.15388/DAMSS.2016
https://eltalpykla.vdu.lt/1/35329
Affiliation(s): Informatikos fakultetas
Sistemų analizės katedra
Vytauto Didžiojo universitetas
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications

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