Group interaction analysis in dynamic context
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Updated: Jun 26, 2026

Assessment of Social Interaction Behaviors
Published on: February 25, 2011
Peng Dai1, Huijun Di, Ligeng Dong
1Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, 100084 Beijing, China. daip02@mails.tsinghua.edu.cn
Abstract:
Computer understanding of human actions and interactions is one of the key research issues in human computing. In this regard, context plays an essential role in semantic understanding of human behavioral and social signals from sensor data. This paper put forward an event-based dynamic context model to address the problems of context awareness in the analysis of group interaction scenarios. Event-driven multilevel dynamic Bayesian network is correspondingly proposed to detect multilevel events, which underlies the context awareness mechanism. Online analysis can be achieved, which is superior over previous works. Experiments in our smart meeting room demonstrate the effectiveness of our approach.
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