Human Emotion Recognition using Deep Learning with Special Emphasis on Infant’s Face

This paper discusses a deep learning-based image processing method to recognize human emotion from their facial expression with special concentration on infant’s face between one five years of age. The work has importance because most the time it becomes necessary understand need child and behavior. is still challenge in field Human Facial Emotion Recognition due confusing that sometimes found some samples. We have tried any into mostly understood mood namely Angry, Disgust, Fear, Happy, Sad, Surprise Neutral. For this purpose, we trained an classifier Convolutional Neural Network Kaggle's Fer2013 Dataset. After completion project, achieved good accuracy prominent emotions by testing 20 random images for each emotion.