Using CNN and Open CV, Mood Identification with Face Feature Learning

Abstract

Investigation on sentimental analysis via face image identification is ongoing in the domain of human-computer interaction (HCI). With their body language and facial expressions individuals are able to communicate a wide range of feelings and experiences. In this assignment, we will use a method that enables the machine to identify individual the facial identification of human feelings with the aid of Convolution Neural Network (CNN) and OpenCV in order to recognise the real feelings from the person's face gesture. Emotion Recognition is ultimately a synthesis of data gathered from many patterns. The barrier among humans and technology will be closed if computers are able to comprehend more human emotions. In this study article, we'll show how to read a person's frontal facial expression to accurately identify emotions including neutrality, pleased, unhappy, surprised, furious, frightened, and contempt.