Automatic Classification of Single Facial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Online Facial Expression Recognition Based on Personalized Galleries
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Facial expression recognition based on the belief theory: comparison with different classifiers
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Chaos and Graphics: Maxine: A platform for embodied animated agents
Computers and Graphics
Effective Emotional Classification Combining Facial Classifiers and User Assessment
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
| Hi-index | 0.00 |
We present a simple and computationally feasible method to perform automatic emotional classification of facial expressions. We propose the use of 10 characteristic points (that are part of the MPEG4 feature points) to extract relevant emotional information (basically five distances, presence of wrinkles and mouth shape). The method defines and detects the six basic emotions (plus the neutral one) in terms of this information and has been fine-tuned with a data-base of 399 images. For the moment, the method is applied to static images. Application to sequences is being now developed. The extraction of such information about the user is of great interest for the development of new multimodal user interfaces