Abstract
Human-centered computing and implicit human computer interaction will be the future computing models, which can be realized in various pervasive computing environments. Thus computer understanding of human actions and intentions becomes the key. Context plays a significant role in the understanding of multi-party human interactions such as meetings. Dynamic context in this paper cannot be sensed through traditional context-aware approaches; instead a probabilistic framework is required to perform online analysis of multi-level context. Therefore this paper presents a Dynamic Context Model to solve the problem of context awareness toward group meeting analysis and services, which includes multimodal analysis of group interaction scenarios and provision of attentive services to the users. According to our concepts, a distributed multimedia processing system has been implemented in the smart meeting room and preliminary experimental results demonstrate the effectiveness of our approach.
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