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We present results on a user independent fully automatic system for real time recognition of facial actions from the facial action coding system (FACS). The system automatically detects frontal faces in the video stream and codes each frame with respect to 20 action units. We present preliminary results on a task of facial action detection in spontaneous expressions during discourse. Support vector machines and AdaBoost classifiers are compared. For both classifiers, the output margin predicts action unit intensity
Bartlett et al. (Fri,) studied this question.