A Comparison of the Control Schemes of Human Response to a Dynamic Virtual 3D Face

  • Vytautas Kaminskas Faculty of Informatics; Vytautas Magnus University
  • Edgaras Ščiglinskas Faculty of Informatics; Vytautas Magnus University

Abstract

This 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 results.

Author Biography

Edgaras Ščiglinskas, Faculty of Informatics; Vytautas Magnus University

Faculty of Informatics; Vytautas Magnus University

Published
2019-06-25
Section
Articles