Recognizing Human Face Expression Using CNN Algorithm in Deep Learning

Abstract

Human facial emotion recognition plays an important and vital role in the interpersonal relationship. Deep learning (DL) based emotion detection gives much better and exact results than traditional methods with image processing. It has been recognized for a many years and it is a vital topic in the fields of computer vision and machine learning. Deep Learning (DI) system is capable of emotion detection through facial expressions. By using Neural Network classifier training, five kinds of different emotional categories are obtained from images. Through this we proposed a Computer Vision (CV) based deep learning architecture for emotion detection from images. We collect the datasets from social media platforms and various websites. In this dataset, data will be presented in the form of image type with some facial expressions. The performance of the proposed method is evaluated using datasets for restaurants which are collected from different social media platforms and websites. Our aim is to understand the change in emotions of people through his face expressions