Use this url to cite publication: https://hdl.handle.net/20.500.12259/59367
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Predictor-based control of human response to a dynamic 3D face using virtual reality
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Title
Predictor-based control of human response to a dynamic 3D face using virtual reality
Is part of
Informatica : an international journal. Vilnius : Vilnius university institute of mathematics and informatics, 2018, vol. 29, no. 2
Date Issued
Date Issued |
---|
2018 |
Publisher
Vilnius : Vilnius university institute of mathematics and informatics
Extent
p. 251-264
Field of Science
Abstract
This paper introduces how predictor-based control principles are applied to the control of human excitement signal as a response to a 3D face virtual stimuli. A dynamic human 3D face is observed in a virtual reality. We use changing distance-between-eyes in a 3D face as a stimulus – control signal. Human responses to the stimuli are observed using EEG-based signal that characterizes excitement. A parameter identification method for predictive and stable model building with the smallest output prediction error is proposed. A predictor-based control law is synthesized by minimizing a generalized minimum variance control criterion in an admissible domain. An admissible domain is composed of control signal boundaries. Relatively high prediction and control quality of excitement signals is demonstrated by modelling results
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)