Emotion Prediction for Recognition of Facial Expressions using Deep Learning

Emotion recognition is a challenging problem and provides many application in areas like education, psychology and also in industry. Facial emotion recognition system basically aims to recognize the facial actions or the emotions shown by the actions of an individual. Basically emotions are of two types such as basic and non-basic emotions and were modeled into seven classes like happy, sad, surprise, fear, anger, neutral and disgust. Deriving facial features and emotion classification from input image are the vital steps for successful recognition. The extraction of Haar characteristics is used to detect faces. Convolutional Neural Network technique to identify seven fundamental emotions and comparison of pre-processing techniques to demonstrate the affects of its performance in CNN.