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We propose a novel system to analyze gestural and non-verbal cues of participants in video conferencing. These cues have previously been referred to as " honest signals " and are usually associated with the underlying cognitive state of the participants. The presented system analyzes a set of audiovisual , non-linguistic features in real time from the audio(More)
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