A Survey on Machine Learning Algorithm for Facial Emotion Recognition

Facial emotion recognition is an important area of research with numerous applications in various fields such as psychology, human-computer interaction, and security. It involves the use of machine learning algorithms to identify and classify human emotions based on facial expressions. The ability to recognize emotions accurately can help improve communication, enhance user experience, and even prevent crime. The purpose of this review paper is to provide an overview of the existing machine learning algorithms used for facial emotion recognition. By examining the current state-of-the-art techniques, the aim is to identify the strengths and limitations of these algorithms and provide insights into future research directions.