A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
This paper addresses the multimodal nature of social dominance and presents multimodal fusion techniques to combine audio and visual nonverbal cues for dominance estimation in small group conversations. We combine the two modalities both at the feature extraction level and at the classifier level via score and rank level fusion. The classification is done by a simple rulebased estimator. We perform experiments on a new 10hour dataset derived from the popular AMI meeting corpus. We objectivelydoi:10.1109/icpr.2010.898 dblp:conf/icpr/AranG10 fatcat:hoghxsdyk5hexorurqnsyiwz2a