Facial Expression Recognition
Also known as: FER, Facial Action Recognition
Computer vision technology that detects and classifies facial expressions from images or video. In sign language contexts, facial expression recognition is essential for capturing non-manual signs — the facial movements that carry grammatical meaning in ASL, such as raised eyebrows for Yes/No questions or furrowed brows for WH-questions. Accurate facial expression recognition is technically challenging due to the subtlety of many NMS, variations across individuals, and the need to distinguish between emotional expressions and grammatical markers.
Category: artificial intelligence · computer vision · sign language
Related: Non-Manual Sign · MediaPipe · Blendshape · Sign Language Recognition