Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Real time facial expression recognition in video using support vector machines
Proceedings of the 5th international conference on Multimodal interfaces
Probabilistic Combination of Multiple Modalities to Detect Interest
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Dynamics of Facial Expression Extracted Automatically from Video
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
The emotional hearing aid: an assistive tool for children with Asperger syndrome
Universal Access in the Information Society
Self-Cam: feedback from what would be your social partner
ACM SIGGRAPH 2006 Research posters
International Journal of Artificial Intelligence in Education
Facial event classification with task oriented dynamic Bayesian network
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multimodal coordination of facial action, head rotation, and eye motion during spontaneous smiles
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Authentic facial expression analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Generalization of a vision-based computational model of mind-reading
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
ACM Transactions on Accessible Computing (TACCESS)
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The emergence of novel affective technologies such as wearable interventions for individuals who have difficulties with social-emotional communication requires reliable, real-time processing of spontaneous expressions. This paper describes a novel wearable camera and a systematic methodology to elicit, capture and tag natural, yet experimentally controlled face videos in dyadic conversations. The MIT-Groden-Autism corpus is the first corpus of naturally-evoked facial expressions of individuals with and without Autism Spectrum Dis-orders (ASD), a growing population who have difficulties with social-emotion communication. It is also the largest in number and duration of the videos, and represents affective-cognitive states that extend beyond the basic emotions. We highlight the machine vision challenges inherent in processing such a corpus, including pose changes and pathological affective displays.