Predictor-based control of human emotions when reacting to a dynamic virtual 3D face stimulus

This paper introduces how predictor-based control principles are applied to the control of human emotion - excitement and frustration - signals. We use changing distance-between-eyes in a virtual 3D face as a control signal. A predictor-based control law is synthesized by minimizing control quality criterion in an admissible domain. Admissible domain is composed of input signal boundaries. Relatively high control quality of excitement and frustration signals is demonstrated by modelling results. Input signal boundaries allow decreasing variation of changes in a virtual 3D face.