Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective computing
Recognizing Action Units for Facial Expression Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
Multimodal Human Emotion/Expression Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A unified approach to coding and interpreting face images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Joint processing of audio-visual information for the recognition of emotional expressions in human-computer interaction
Learning a Locality Preserving Subspace for Visual Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Capturing Subtle Facial Motions in 3D Face Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Robust Real-Time Face Detection
International Journal of Computer Vision
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Affective multimodal human-computer interaction
Proceedings of the 13th annual ACM international conference on Multimedia
Multimodal affect recognition in learning environments
Proceedings of the 13th annual ACM international conference on Multimedia
One-Class Classification for Spontaneous Facial Expression Analysis
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
2005 Special Issue: Beyond emotion archetypes: Databases for emotion modelling using neural networks
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Emotion recognition in human-computer interaction
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
ASR for emotional speech: Clarifying the issues and enhancing performance
Neural Networks - Special issue: Emotion and brain
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Modeling naturalistic affective states via facial and vocal expressions recognition
Proceedings of the 8th international conference on Multimodal interfaces
Spontaneous vs. posed facial behavior: automatic analysis of brow actions
Proceedings of the 8th international conference on Multimodal interfaces
Gaze-X: adaptive affective multimodal interface for single-user office scenarios
Proceedings of the 8th international conference on Multimodal interfaces
Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
Predicting student emotions in computer-human tutoring dialogues
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
Audio-visual based emotion recognition-a new approach
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Authentic facial expression analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Multi-stream confidence analysis for audio-visual affect recognition
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Audio-Visual Affect Recognition
IEEE Transactions on Multimedia
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Human expression recognition from motion using a radial basis function network architecture
IEEE Transactions on Neural Networks
Decision-Level Fusion for Audio-Visual Laughter Detection
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Applying Affect Recognition in Serious Games: The PlayMancer Project
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Emotion recognition using bimodal data fusion
Proceedings of the 12th International Conference on Computer Systems and Technologies
Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion
International Journal of Multimedia Data Engineering & Management
Computer Speech and Language
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Automatic multimodal recognition of spontaneous emotional expressions is a largely unexplored and challenging problem. In this paper, we explore audio-visual emotion recognition in a realistic human conversation setting--the Adult Attachment Interview (AAI). Based on the assumption that facial expression and vocal expression are at the same coarse affective states, positive and negative emotion sequences are labeled according to Facial Action Coding System. Facial texture in visual channel and prosody in audio channel are integrated in the framework of Adaboost multi-stream hidden Markov model (AdaMHMM) in which the Adaboost learning scheme is used to build component HMM fusion. Our approach is evaluated in AAI spontaneous emotion recognition experiments.