Deep Learning Based Emotion Detection in an Online Class

Day to day research work in the field of human emotion recognition have played a crucial role in bringing certain changes in domain of online marketing, education etc. Keeping the transition to online mode of education in mind the current paper aims to provide insights to the ability of students to perceived things and their response in online class by analyzing the facial expressions. The paper also trends to provide a review of the recent wok in the field of Human Emotion recognition. Emotion recognition is certainly not an easy task; it certainly requires taking into account various gestures and eye movements. There lies a huge scope in the field of human emotion recognition and the results provided by them are certainly not restricted to one domain. Current study used deep learning technology to detect real time emotions of students in online class using publically available dataset on Kaggle with the name JonathanOheix.