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A bi-modal emotion recognition approach is proposed for recognition of four emotions that integrate information from gestures and speech. The outputs from two uni-modal emotion recognition systems based on affective speech and expressive gesture are fused on a decision level fusion by using weight criterion fusion and best probability plus majority vote fusion methods, and the performance of classifier...
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