A Review on Various CNN-based Approaches for Facial Expression Recognition

Facial emotion recognition is a rapidly developing field that has the potential to revolutionize the way people interact with technology and each other. It uses advanced algorithms to analyze and interpret facial expressions in real-time, providing valuable insights into a person's emotional state. Some of the key areas where facial emotion recognition is applicable include police interrogation, driver drowsiness detection, online class concentration analysis, etc. This research study discusses about the different existing models and datasets. Potential drawbacks of the models are identified and suggestions are provided to overcome the drawbacks are provided