Integrated Computer-Aided Engineering
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Facial expression recognition for learning status analysis
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Facial expression recognition using geometric and appearance features
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Fusion of feature sets and classifiers for facial expression recognition
Expert Systems with Applications: An International Journal
Facial expression recognition based on Hessian regularized support vector machine
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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In order to accomplish subject-independent facial expression recognition task, a multiple Gabor features based facial expression recognition method is presented in this paper. Different channels of Gabor filters have different contributions on the facial expression recognition and reasonable combination of these features can improve the performance of a facial expression recognition system. NN based data fusion method is designed for facial expression recognition in this paper. Experimental results show that the facial expression recognition rate can be improved by using multiple channel features and neural network fusion.