VACE Multimodal Meeting Corpus

Abstract. In this paper, we report on the infrastructure we have developed to support our research on multimodal cues for understanding meetings. With our focus on multimodality, we investigate the interaction among speech, gesture, posture, and gaze in meetings. For this purpose, a high quality multimodal corpus is being produced.

• Type: Conference
• Year: 2005
• Where: MLMI
• Authors: Lei Chen 0004, R. Rose, Ying Qiao, Irene Kimbara, Fey Parrill, Haleema Welji, Tony X. Han, Jilin Tu, Zhongqiang Huang, Mary P. Harper, Francis K. H. Quek, Yingen Xiong, David McNeill, Ronald Tuttle, Thomas S. Huang
• Keywords: MLMI 2005, Multimodal Cues, Quality Multimodal Corpus, Report