Use this url to cite publication: https://hdl.handle.net/20.500.12259/35329
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Control of human excitement as reactions to a dynamic virtual 3D face
Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
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
Date Issued
Date Issued |
---|
2016 |
Publisher
Vilnius : Vilnius University Institute of Data Science and Digital Technologies, 2016
Extent
p. 27-28
Field of Science
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.
Type of document
type::text::conference output::conference proceedings::conference paper
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)