Abstract

Non-verbal communication plays an important role in human communication. At the Delft University of Technology there is a project running on the automatic recognition of facial expressions. The developed system ISFER (Integrated System for Facial Expression Recognition) is based on the analysis of a frontal view of the face. In this paper we investigate the possible advantages of using an additional lateral view of the face. The experiments done with use of neural networks show the expected improvements when using the dual view approach. In this paper we describe the setup of the experiments and report the results.