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- W2080931601 abstract "This paper presents a multimodal framework employing eye-gaze, head-pose and speech cues to explain observed social attention patterns in meeting scenes. We first investigate a few hypotheses concerning social attention and characterize meetings and individuals based on ground-truth data. This is followed by replication of ground-truth results through automated estimation of eye-gaze, head-pose and speech activity for each participant. Experimental results show that combining eye-gaze and head-pose estimates decreases error in social attention estimation by over 26%." @default.
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- W2080931601 date "2010-10-25" @default.
- W2080931601 modified "2023-09-23" @default.
- W2080931601 title "Putting the pieces together" @default.
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- W2080931601 doi "https://doi.org/10.1145/1873951.1874045" @default.
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