Main Article Content
Abstract
The application of how emotion is extracted from expression of face i.e facial extraction with the help of combining neural networks to identify, recognize and categories different emotion that human face depict like happiness, fear, surprise, neutral, sadness etc has been discussed in this paper. Humans can show lots of different facial emotions during conversion and communication that can vary in meaning, intensity and complexity depending upon the situation. The limitation and difficulty with current existing emotion recognition using brain activity has been analyzed in this paper. We have been able to achieve 70% accuracy through the help an existing simulator which is simpler and easier than emotion detection and recognition with brain activity.