Emotion Recognition of Facial Expressions with Deep Learning and Transfer Learning

Facial expressions are one of the most common non-verbal means used by humans to convey inner emotional states, and thus play a fundamental role in interpersonal communication. Although there are many possible facial expressions, psychologists have identified six universally recognized basic expressions (happy, sad, surprised, angry, fearful, and disgusted). It is clear that a system capable of automatically recognizing human emotions is an ideal task for a range of applications in human-computer interaction, security, affective computing. Robust Facial Expression Recognition System is a project that has been implemented by multiple developers. Our goal in this work is to bring this system closer to the Moroccan people, so that this system can better recognize the emotions of Moroccan faces, based on deep learning and transfer learning techniques.