V. Aharonson, N. Nehmadi, and H. Messer (Israel)
Facial Expressions, Automatic Detection of Emotion, Image Processing.
Humans can usually detect emotional signs in other humans' facial expression and infer their underlying emotion. However, up to date, no satisfactory automatic method could quantitatively map facial expression attributes to real life emotional stimuli. We have developed a method which enables to statistically relate a facial expression and the stimulus that aroused it. The results show that the probability of guessing the stimulus from features extracted from facial animation points (FAPs) is higher than the prior probability alone. That is, for the first time we are able to point out on a systematic approach for automatically relating facial expressions to emotional stimulus.
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