DMCA
Audio-Visual Fused Online Context Analysis Toward Smart Meeting
| Venue: | Room,” J. Indulska et al. (Eds.): UIC 2007, LNCS 4611, Springer |
| Citations: | 3 - 2 self |
BibTeX
@ARTICLE{Dai_audio-visualfused,
author = {Peng Dai and Linmi Tao and Guangyou Xu},
title = {Audio-Visual Fused Online Context Analysis Toward Smart Meeting},
journal = {Room,” J. Indulska et al. (Eds.): UIC 2007, LNCS 4611, Springer},
year = {},
pages = {868--877}
}
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Abstract
Abstract. Context-aware systems incorporate multimodal information to ana-lyze contextual information in users ’ environment and provide various proac-tive 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 ef-fective 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. 1
Keyphrases
novel dynamic context model context-aware computing various proac-tive service visual module context-aware system group interaction human group interaction experimental result smart meeting room ef-fective processing dynamic context multimodal information ana-lyze contextual information novel online context analysis framework online understanding various sensor user environment multi-level dynamic context multimodal signal robust audio
