Facial Expression Recognition (FER) uses computer vision to classify human emotions (happiness, sadness, anger) from facial expressions. By analyzing facial muscle movements and landmarks, it’s applied in market research (consumer reactions), mental health (mood tracking), and human-computer interaction (emotion-aware devices).
