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