Abstract
Context-aware systems incorporate multimodal information to analyze contextual information in users' environment and provide various proactive services according to dynamic context. In this paper, a novel online context analysis framework is proposed to support context-aware computing in smart meeting room. A novel dynamic context model is presented to model human group interactions. Robust audio and visual modules are integrated for the effective processing of multimodal signals from various sensors, based on which a multi-level dynamic context reasoning mechanism is adopted for the online understanding of group interactions in meeting scenarios. Experimental results show the effectiveness of our framework. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Dai, P., Tao, L., & Xu, G. (2007). Audio-visual fused online context analysis toward smart meeting room. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4611 LNCS, pp. 868–877). Springer Verlag. https://doi.org/10.1007/978-3-540-73549-6_85
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
