Facial Expression Recognition (FER)

Facial Expression Recognition (FER) is a task in the field of computer vision that aims to automatically and in real-time identify and classify human emotional expressions by analyzing facial features such as eyebrows, eyes, and mouth, mapping them to emotion categories like anger, fear, surprise, sadness, and happiness. This technology holds significant application value in areas such as human-computer interaction, affective computing, and mental health assessment.