Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/101934
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dc.contributor.authorKaminskas, Vytautas-
dc.contributor.authorŠčiglinskas, Edgaras-
dc.coverage.spatialLT-
dc.date.accessioned2019-11-26T20:26:54Z-
dc.date.available2019-11-26T20:26:54Z-
dc.date.issued2019-
dc.identifier.issn1392124X-
dc.identifier.otherVDU02-000061929-
dc.identifier.urihttp://itc.ktu.lt/index.php/ITC/article/view/21667/12636-
dc.identifier.urihttp://dx.doi.org/10.5755/j01.itc.48.2.21667-
dc.descriptionŽurnalas http://itc.ktu.lt/index.php/ITC-
dc.description.abstractThis paper introduces the application of predictor-based control principles for the control of human response to a virtual 3D face. A dynamic woman 3D face is observed in virtual reality. We use changing distance-between-eyes in a 3D face as a stimulus – control signal. Human responses to the stimulus are observed using EEG-based excitement signals – output signal. The technique of dynamic systems identification which ensure stability and possible higher gain of the model for building a predictive input-output model of control plant is applied. Three 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 accuracies and control quality are demonstrated by modelling resultsen
dc.description.sponsorshipSistemų analizės katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 250-267-
dc.language.isoen-
dc.relation.ispartofInformacinės technologijos ir valdymas = Information technology and control. Kaunas : Technologija, 2019, t. 48, nr. 2-
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)-
dc.relation.isreferencedbyINSPEC-
dc.relation.isreferencedbyVINITI-
dc.relation.isreferencedbyScopus-
dc.subjectVirtual 3D Faceen
dc.subjectHuman excitementen
dc.subjectPredictive input-output modelen
dc.subjectGeneralized minimum variance controlen
dc.subject.classificationStraipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)-
dc.subject.otherInformatika / Informatics (N009)-
dc.titleA Comparison of the control schemes of human response to a dynamic virtual 3D faceen
dc.typeresearch article-
dc.identifier.doihttps://doi.org/10.5755/j01.itc.48.2.21667-
dc.identifier.isiWOS:000510402300006-
dcterms.bibliographicCitation47-
dc.date.updated2020-02-24T09:46Z-
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local.typeS-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptSistemų analizės katedra-
crisitem.author.deptInformatikos fakultetas-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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