The nature of statistical learning theory
The nature of statistical learning theory
New technological windows into mind: there is more in eyes and brains for human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eye gaze patterns in conversations: there is more to conversational agents than meets the eyes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Messages embedded in gaze of interface agents --- impression management with agent's gaze
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Embodied agents for multi-party dialogue in immersive virtual worlds
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Conversing with the user based on eye-gaze patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards a model of face-to-face grounding
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Contextual recognition of head gestures
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Head gesture recognition in intelligent interfaces: the role of context in improving recognition
Proceedings of the 11th international conference on Intelligent user interfaces
Hidden Conditional Random Fields for Gesture Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Recognizing gaze aversion gestures in embodied conversational discourse
Proceedings of the 8th international conference on Multimodal interfaces
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Proceedings of the Workshop on Use of Context in Vision Processing
Recognizing the visual focus of attention for human robot interaction
HBU'12 Proceedings of the Third international conference on Human Behavior Understanding
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Eye gaze and gesture form key conversational grounding cues that are used extensively in face-to-face interaction among people. To accurately recognize visual feedback during interaction, people often use contextual knowledge from previous and current events to anticipate when feedback is most likely to occur. In this paper, we investigate how dialog context from an embodied conversational agent (ECA) can improve visual recognition of eye gestures. We propose a new framework for contextual recognition based on Latent-Dynamic Conditional Random Field (LDCRF) models to learn the sub-structure and external dynamics of contextual cues. Our experiments show that adding contextual information improves visual recognition of eye gestures and demonstrate that the LDCRF model for context-based recognition of gaze aversion gestures outperforms Support Vector Machines, Hidden Markov Models, and Conditional Random Fields.