Facial Emotion Recognition Using Convolutional Neural Network

Abstract

Human face emotion recognition is an easy thing, but it is difficult when someone uses an algorithm to do this. It's a powerful task and also challenging. Six categories of human face emotion are recognized here. Expressions: angry, disgusted, fearful, happy, sad, surprised, and neutral. It detaches all the emotions by AI. Here I work with the FER 2013 data set. At first, AI detaches a face then extracts the feature and after that classifies the emotion. A person's affective state, cognitive activity, intention, personality, and psychopathology are observable manifestations of their facial expression, which plays a communication function in interpersonal relationships. Automatic facial expression recognition can be a useful feature in natural human-machine interfaces, as well as in behavioral science and therapeutic practice.