An intelligent system for facial emotion recognition

An intelligent emotion recognition system, interweaving psychological findings about emotion representation with analysis and evaluation of facial expressions has been generated and its performance has been investigated with experimental real data. Additionally, a fuzzy rule based system has been created for classifying facial expressions to the six archetypal emotion categories. The continuous 2-D emotion space was then examined and a pool of known and novel classification and clustering techniques have been applied to our data obtaining high rates in classification and clustering into quadrants of the emotion representation space.

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Roddy Cowie, Ellen Douglas-Cowie, John G. Taylor, Spiros Ioannou, Manolis Wallace, Stefanos D. Kollias
• Keywords: Emotion, Emotion Representation, ICMCS 2005, Intelligent Emotion Recognition