Facial Emotion Recognition Using Keras and CNN

Abstract

Deep Learning is penetrating most of the recognition and classification tasks performed through a computer or machine. 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 year and it is a vital topic in the fields of computer vision and machine learning. Artificial Intelligence (AI) system is capable to emotion discovery through facial expressions. By using Neural Network classifier training, five kinds of different emotional orders are attained from pics. 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 emotions of different people through their expressions.

Topics & Concepts