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Predictor-Based Control of Human Response to a Dynamic 3D Face Using Virtual Reality
Volume 29, Issue 2 (2018), pp. 251–264
Pub. online: 1 January 2018      Type: Research Article      Open accessOpen Access
Received
1 December 2017
Accepted
1 April 2018
Published
1 January 2018

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.

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Biographies

Kaminskas Vytautas
vytautas.kaminskas@vdu.lt

V. Kaminskas is a rector emeritus (2016) and honorary professor (2012) of Vytautas Magnus University. He has PhD (1972) and DrSc (1983) degrees in the field of technical cybernetics and information theory. In 1984 he was awarded the title of the professor. From 1991 he is a member of Lithuanian Academy of Science. His research interests are dynamic system modelling, identification and adaptive control. He is the author of 4 monographs and about 200 scientific papers of these topics.

Ščiglinskas Edgaras
edgaras.sciglinskas@vdu.lt

E. Ščiglinskas is a PhD student. He graduated from the Faculty of Informatics of Vytautas Magnus University in BSc (2013) and MSc (2015). His research interests are signal processing and system modelling, virtual reality and multimedia systems and its application. He is the author of 3 scientific paper of these topics.


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Copyright
© 2018 Vilnius University
Open access article under the CC BY license.

Keywords
dynamic virtual 3D face human response virtual reality predictive input–output model generalized minimum variance control

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