In our entire life span, people undergo with the different kinds of the facial expression. The facial expression is a reaction to the different kinds of people we interact with. Face to face communication is mandatory to identify one’s real feeling while we are communicating. In our work, we have used convolution neural network to find the probabilities to identify match with emotion type. We have compared the probabilities returned by the CNN trained by two datasets namely FER2013 & modified CK+ dataset to get clear vision of a person. This system automatically detects the emotion of a person, when a person stands in front of cam of the computer.
Volume 12 | Issue 2