FER (Facial Emotion Recognition)

Facial Emotion Recognition (FER) is a technology that analyzes facial expressions to identify emotions such as happiness, sadness, anger, or fear. It uses computer algorithms to detect specific facial features—like the eyes, mouth, and eyebrows—and interpret their movements and configurations. FER can be applied in various fields, from enhancing human-computer interaction to psychological research and security. It relies on large datasets of labeled images to learn patterns associated with different emotions, allowing it to automatically and accurately assess how someone feels based on their facial cues.