The realm of automatic emotion recognition based on facial expressions is a fascinating field of study that has been applied in numerous industries, including security, health care, and human–machine interface. In order to enhance computer predictions, researchers are exploring ways to decode, analyze, and extract facial expression features. With the remarkable achievements of Deep Learning, different types of architectures are being employed to boost performance. This article aims to present the latest research on Facial Expression Recognition using deep learning for the automatic identification of emotions. The article’s objective is to assist researchers by examining current research and offering insights on how to enhance this field.
