Two predictive models for identification of human responses to virtual 3D face stimuli

Abstract

This paper introduces a comparison of two one step predictive models that were used to model the relationship between human emotional signals – excitement and frustration – and three virtual 3D face features – distance between eyes, nose width, and chin width. Two volunteers’ data werezas used for the comparison. Two input-output model building methods are proposed that allow building stable models with the least output prediction error. Validation results of the models demonstrate relatively high prediction accuracy of human reactions and both models produce similar prediction accuracy