Human Emotion Recognition by Using Pattern Recognition Network
Shivani Gangwar, Shashwat Shukla, Deepak Arora · 2013
Identifying Human Emotion is important in facilitating communication and interactions between individuals. They are also used as an important mean in studying behavioral Science and in studying Psychological changes. Since face is the prime source for recognizing human emotion, the proposed system will provide a quick and practical approach for non-invasive emotion detection. The recognition of emotions is done by deploying an intelligent system using neural network, signal processing and image processing toolbox of Matlab 7.12.0(R2011a). The network classifier is pattern recognition network which is actually a feed forward neural network that will be trained for some images bearing different emotions. The trained network is then simulated to test the new data for recognizing different emotions.