PUBLISHED:
Proceedings of IEEE International Conference on Tools with Artificial
Intelligence, Chicago, USA, November 1999.
KEYWORDS:
ABSTRACT:
This paper discusses Integrated System for Facial Expression Recognition
(ISFER), which performs facial expression analysis from a still dual facial
view image. The system consists of three major parts: facial data generator,
facial data evaluator and facial data analyser. While the facial data generator
applies fairly conventional techniques for facial features extraction,
the rest of the system represents a novel way of performing a reliable
identification of 30 different face actions and a multiple classification
of expressions into the six basic emotion categories. An expert system
has been utilised to convert low level face geometry into high level face
actions, and then this into highest level weighted emotion labels. The
system evaluation results demonstrated rather high concurrent validity
with human coding of facial expressions using FACS [4] and formal instructions
in emotion signals [5].