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During everyday interaction people display various non-verbal signals that convey emotions. These signals are multi-modal and range from facial expressions, shifts in posture, head pose, and non-verbal speech. They are subtle, continuous and complex. Our work concentrates on the problem of automatic recognition of emotions from such multi-modal signals. Most of the previous work has concentrated on...
This paper presents a new classification algorithm for real-time inference of affect from nonverbal features of speech and applies it to assessing public speaking skills. The classifier identifies simultaneously occurring affective states by recognizing correlations between emotions and over 6,000 functional-feature combinations. Pairwise classifiers are constructed for nine classes from the Mind...
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