Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/101936
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatikos inžinerija / Informatics engineering (T007)
Author(s): Kaminskas, Vytautas;Ščiglinskas, Edgaras
Title: Predictor-based control of excitement as human response signal to a dynamic virtual 3D face
Is part of: ECC - 2019: 18th European control conference, Naples, Italy, 25 Jun 2019 - 28 Jun 2019: conference proceedings. New York: IEEE, 2019
Extent: p. 1300-1305
Date: 2019
Note: INSPEC Accession Number: 18906602
Keywords: Electroencephalography;Face recognition;Medical control systems;Medical image processing;Stereo image processing
ISBN: 9783907144015
Abstract: This paper introduces the application of predictor-based control with constraints of human response to a dynamic virtual 3D face. We are using changing distance-between-eyes in a woman 3D face as a stimulus - control signal. Human response to the stimulus is observed using EEG-based excitement signal - output signal. The technique of dynamic systems identification which ensures stability and possible higher gain of the model for building a predictive input-output model of control plant is applied. Two predictor-based control schemes with a minimum variance or a generalized minimum variance control quality and constrained control signal magnitude and change rate are developed. High prediction accuracy and control quality are demonstrated by modelling results
Internet: https://ieeexplore.ieee.org/document/8796146
Affiliation(s): Informatikos fakultetas
Sistemų analizės katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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