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Emotion recognition has been an important research topic in the area of human computer interaction (HCI) for different application, in the last decade for instance proper emotion recognition has a wide range of applications in security, entertainment, and training. Emotion is expressed via facial muscle movements, speech, body and hand gestures, and various biological signals such heart rate. This...
A new feature selection approach is proposed for facial expression recognition system. The features are extracted using Gabor filters from Grey-scale images for characterizing facial texture. Then, an adaptive filter selection (AFS) algorithm is applied to choose the best subset of Gabor filters with different scales and orientations. In AFS algorithm, the filters are selected based on spectral difference...
This paper presents a novel facial emotion recognition (FER) technique, based on support vector machine (SVM), to recognize the facial emotion expression. Here it is called the FERS technique. First, a face detection method, which combines the Haar-like features (HFs) method with the self quotient image (SQI) filter, is used in the FERS technique to accurately locate the face region of an image. It...
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