The current state of semi-automated facial animation demands better understanding of how facial expressions are produced by real people. As a first step of a series of empirical studies, we investigated snapshots of facial expressions of the six basic emotions, produced by 18 subjects in `out of context' sessions. The MPEG-4 coded vectors were analysed on principal components and canonical variates, which served as a basis to draw conclusions about the (for the negative emotions: lack of) generic characteristics of the six emotions and their mutual distances. Our results are compared to ones obtained by facial image analysis and human perception researchers.
Additional Metadata
Keywords facial expressions, classification, multi dimensional scaling, principal component analysis
Publisher CWI
Series Information Systems [INS]
Citation
Hendrix, J, & Ruttkay, Z.M. (2000). Exploring the space of emotional faces of subjects without acting experience. Information Systems [INS]. CWI.