Machine Learning Techniques for Real-Time Emotion Detection from Facial Expressions

Facial expressions recognition by emotion is a crucial component in many applications. This paper covers the recent trends in human emotion detection. An overview of various facial emotion recognition and its applications are presented. In the literature review, major machine-learning techniques used for facial emotion identification have been explored. Machine learning approaches are compared on the basis of their advantages, disadvantages, and their accuracy. Theoretical analysis of existing approaches shows that the algorithm providing the maximum accuracy should be used for facial emotion recognition. The existing approaches are also suffered from some challenges and those challenges should be addressed and considered for accurately predicting the users' emotional state. The application of emotion detection is also very vast and a few of the major applications are also discussed. Finally, a brief analysis of existing Machine learning approaches and their conclusion is given.