Classification by pairwise coupling
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Robust Real-Time Face Detection
International Journal of Computer Vision
Automatic Analysis of Multimodal Group Actions in Meetings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
Using audio and video features to classify the most dominant person in a group meeting
Proceedings of the 15th international conference on Multimedia
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Investigating automatic dominance estimation in groups from visual attention and speaking activity
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Personality of Participants During Group Interactions
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
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
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Automatic prediction of individual performance from "thin slices" of social behavior
MM '09 Proceedings of the 17th ACM international conference on Multimedia
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
On the Decoding Process in Ternary Error-Correcting Output Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-modal social signal analysis for predicting agreement in conversation settings
Proceedings of the 15th ACM on International conference on multimodal interaction
A dominance estimation mechanism using eye-gaze and turn-taking information
Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction
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Social Signal Processing is an emergent area of research that focuses on the analysis of social constructs. Dominance and interest are two of these social constructs. Dominance refers to the level of influence a person has in a conversation. Interest, when referred in terms of group interactions, can be defined as the degree of engagement that the members of a group collectively display during their interaction. In this paper, we argue that only using behavioral motion information, we are able to predict the interest of observers when looking at face-to-face interactions as well as the dominant people. First, we propose a simple set of movement-based features from body, face, and mouth activity in order to define a higher set of interaction indicators. The considered indicators are manually annotated by observers. Based on the opinions obtained, we define an automatic binary dominance detection problem and amulticlass interest quantification problem. Error-Correcting Output Codes framework is used to learn to rank the perceived observer's interest in face-to-face interactions meanwhile Adaboost is used to solve the dominant detection problem. The automatic system shows good correlation between the automatic categorization results and the manual ranking made by the observers in both dominance and interest detection problems.