Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study

Emotions are important components of a person's behavior. Convolutional neural networks (CNNs) for facial emotion identification is a fast developing discipline with applications in security, psychology, and HCI (Human Computer Interaction). This contrasting study investigates how CNNs can be used to identify emotions from facial expressions in pictures. A CNN model was trained and tested using a dataset of pictures that had been annotated with various emotions. This study underscores the need for more research in this field and shows the potential of CNNs for face emotion recognition.