Automatic Recognition of Facial Expressions and Human Emotions

PUBLISHED:
ASCI'98 Proceedings of the fourth annual conference of the Advanced School for Computing and Imaging, Lommel, Belgium, June 9-11, 1998

KEYWORDS:
Intelligent Analysis, Interpretation of MM data, Motion Capture, Java

ABSTRACT:
Human Emotion Recognition Clips Utilised Expert System was designed to recognise and interpret facial expressions of the observed person in an automatic way. Still, input to HERCULES has been manually supplied. Through integrating HERCULES into the Integrated System for Facial Expression Recognition (ISFER) a complete process of automatic analysis of facial expressions has been achieved. ISFER forms a part of the project Automated System for Non-verbal Communication which is an ongoing project at the Knowledge Based Systems department of Delft University of Technology. The theoretical formulation of the implemented facial expression recognition has been acquired from FACS. The interpretation of the recognised facial expression is currently based on the recognition of so-called six basic emotions defined by Ekman: happiness, sadness, fear, surprise, disgust and anger. Validation of the implemented knowledge and performing of the facial expression analysis in a completely automated way, are the main topics of this paper.