%0 Journal Article %T Deteccion automatica de la dominancia en conversaciones diadicas %A Sergio Escalera %A R. M. Martinez %A Jordi Vitria %A Petia Radeva %A Maria Teresa Anguera %J Escritos de Psicologia %D 2010 %V 3 %N 2 %@ 1989-3809 %F Sergio Escalera2010 %O HUPBA; OR; MILAB;MV %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1315), last updated on Thu, 18 Jan 2018 12:03:08 +0100 %X Dominance is referred to the level of influence that a person has in a conversation. Dominance is an important research area in social psychology, but the problem of its automatic estimation is a very recent topic in the contexts of social and wearable computing. In this paper, we focus on the dominance detection of visual cues. We estimate the correlation among observers by categorizing the dominant people in a set of face-to-face conversations. Different dominance indicators from gestural communication are defined, manually annotated, and compared to the observers' opinion. Moreover, these indicators are automatically extracted from video sequences and learnt by using binary classifiers. Results from the three analyses showed a high correlation and allows the categorization of dominant people in public discussion video sequences. %K Dominance detection %K Non-verbal communication %K Visual features %U http://refbase.cvc.uab.es/files/EMV2010.pdf %P 41–45