HUMAN FACIAL EMOTION RECOGNITION USING CNN

Abstract

Human beings express emotions in everyday interactions. Understanding their emotions and knowing how to react to these expressions greatly enhances the interaction. An automatic Facial Expression Recognition system must try to solve the following problems: detection and location of faces ina cluttered scene, facial feature extraction, and facial expression classification. Knowing the user emotion, the system can adapt to the user. Facial expressions play an important role in recognition of emotions and are used in the process of non-verbal communication. They are very important in daily emotional communication, just next to the tone of voice. They are also an indicator of feelings, allowing a man to express an emotional state. The main motivation behind this project is to detect mental health of an individual.