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.