Automatic Analysis of Multimodal Group Actions in Meetings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic detection of interaction groups
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Situated Observation of Human Activity
CVIIE '05 Proceedings of the Computer Vision for Interactive and Intelligent Environment
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Context as a dynamic construct
Human-Computer Interaction
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Automatic Meeting Segmentation Using Dynamic Bayesian Networks
IEEE Transactions on Multimedia
Dynamic context capture and distributed video arrays for intelligent spaces
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Event-driven content management system for smart meeting room
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
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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.