Journal of VLSI Signal Processing Systems - Special issue on the rapid prototyping of application specific signal processors (RASSP) program
Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Active Appearance Models
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Adaptive on-line neural network retraining for real life multimodal emotion recognition
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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Humans can usually detect emotional signs in other humans' facial expression and infer their underlying emotion. However, up to date, no satisfactory automatic method could quantitatively map facial expression attributes to real life emotional stimuli. We have developed a method which enables to statistically relate a facial expression and the stimulus that aroused it. The results show that the probability of guessing the stimulus from features extracted from facial animation points (FAPs) is higher than the prior probability alone. That is, for the first time we are able to point out on a systematic approach for automatically relating facial expressions to emotional stimulus.