Facial Emotion Recognition system plays a major role in many fields, like social communication, image processing, identifying moods, etc. Detecting and understanding emotions through a camera video. In this study, the imbalanced fer2013 dataset is balanced using Random Over Sampling method to achieve the best accuracy. Convolution Neural Network (CNN) proposed methods deals with image data easily through layers and these layers play a vital role after balancing the data. The model is obtaining an accuracy of 83.0% on test data.
₹10000 (INR)
NON IEEE-2022