A tutorial on support vector regression
Statistics and Computing
Automatic detection of group functional roles in face to face interactions
Proceedings of the 8th international conference on Multimodal interfaces
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Proceedings of the 8th international conference on Multimodal interfaces
VACE multimodal meeting corpus
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
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ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
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UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Automatic prediction of individual performance from "thin slices" of social behavior
MM '09 Proceedings of the 17th ACM international conference on Multimedia
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Proceedings of the international conference on Multimedia
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Proceedings of the 2nd international workshop on Social signal processing
HBU'10 Proceedings of the First international conference on Human behavior understanding
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
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This paper describes an automatically annotated multimodal corpus of multi-party meetings. The corpus provides for each subject involved in the experimental sessions information on her/his social behavior and personality traits, as well as audiovisual cues (speech rate, pitch and energy, head orientation, head, hand and body fidgeting). The corpus is based on the audio and video recordings of thirteen sessions, which took place in a lab setting equipped with cameras and microphones. Our main concern in collecting this corpus was to investigate the possibility of creating a system capable of automatically analyzing social behaviors and predicting personality traits using audio-visual cues.