@inproceedings{b539f5ed84334e1e8013373f970b36b1,
title = "Putting the pieces together: Multimodal analysis of social attention in meetings",
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%.",
keywords = "eye-gaze, head-pose, meeting analysis, social attention",
author = "Ramanathan Subramanian and Jacopo Staiano and Kyriaki Kalimeri and Nicu Sebe and Fabio Pianesi",
year = "2010",
doi = "10.1145/1873951.1874045",
language = "English",
isbn = "9781605589336",
series = "MM'10 - Proceedings of the ACM Multimedia 2010 International Conference",
publisher = "Association for Computing Machinery (ACM)",
pages = "659--662",
editor = "{del Bimbo}, Alberto and Shih-Fu Chang and Arnold Smeulders",
booktitle = "MM'10 - Proceedings of the ACM Multimedia 2010 International Conference",
address = "United States",
note = "18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10 ; Conference date: 25-10-2010 Through 29-10-2010",
}