Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Proceedings of the 9th international conference on Multimodal interfaces
Using the influence model to recognize functional roles in meetings
Proceedings of the 9th international conference on Multimodal interfaces
Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
IEEE Transactions on Multimedia
Move, and i will tell you who you are: detecting deceptive roles in low-quality data
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Detecting F-formations as dominant sets
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
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In this paper we present the Idiap Wolf Database. This is a audio-visual corpus containing natural conversational data of volunteers who took part in a competitive role-playing game. Four groups of 8-12 people were recorded. In total, just over 7 hours of interactive conversational data was collected. The data has been annotated in terms of the roles and outcomes of the game. There are 371 examples of different roles played over 50 games. Recordings were made with headset microphones, an 8-microphone array, and 3 video cameras and are fully synchronised. The novelty of this data is that some players have deceptive roles and the participants do not know what roles other people play.