| N. Tsapatsoulis, K. Karpouzis, G. Stamou, F. Piat and S. Kollias |
| A Fuzzy System for Emotion Classification based on the MPEG-4 Facial Definition Parameter Set |
| European Signal Processing Conference (EUSIPCO'00), Tampere, Finland, September 2000 |
|
ABSTRACT
|
| The human face is, in essence, an advanced expression apparatus; despite its adverse complexity and variety of distinct expressions, thorough research in facial expression has concluded that at least six emotions, conveyed by human faces, are universally associated with distinct expressions. In particular, sadness, anger, joy, fear, disgust and surprise form categories of facial expressions that are recognizable across different cultures. In this work we form a description of the six universal facial expressions, using the MPEG-4 Facial Definition Parameter Set (FDP). According to the MPEG-4 Standard, this is a set of tokens that describe minimal perceptible actions in the facial area. Groups of such actions in different magnitudes produce the perception of expression. A systematic approach towards the recognition and classification of such an expression is based on characteristic points in the facial area that can be automatically detected and tracked. As is explained below, the utilized features are distances between these protuberant points within the facial area, as well as their time derivatives. The results of these metrics are then used as input to a fuzzy inference system whose output is a vector of parameters that depicts the systems’ degree of belief with respect to the observed emotion.
|
| 08 September, 2000 |
| N. Tsapatsoulis, K. Karpouzis, G. Stamou, F. Piat and S. Kollias, "A Fuzzy System for Emotion Classification based on the MPEG-4 Facial Definition Parameter Set", European Signal Processing Conference (EUSIPCO'00), Tampere, Finland, September 2000 |
[
BibTex] [
Print] [
 Back] |
