Event Based Dynamic Context Model for Group Interaction Analysis(<Special Issue>Contribution to 21 Century Intelligent Technologies and Bioinformatics)

Abstract

Computer understanding of human social interactions is a challenging topic in the field of human computing due to its multi-party dynamic nature and multimodal characteristics. Context plays an essential role in the understanding of human behaviors during group interactions. This paper presents a novel Event Based Dynamic Context Model to represent hierarchical interaction context and solve the problems of context awareness. Sensing of dynamic context is based on multi-level event detection. Online analysis of multi-level events can be achieved by our model, which is superior over previous works. Implementations in our smart meeting room demonstrate the effectiveness of our approach.