FaceReader

A commercial facial-expression recognition software (developed by Noldus) that uses computer vision and deep learning to automatically classify faces into basic emotions (neutral, happy, sad, angry, surprised, scared, disgusted) and to estimate emotional valence and arousal in real time. FaceReader is widely used in accessibility and affective computing research as an objective measure of user emotion, complementing self-report tools such as PrEmo. Practitioners should note known limitations around training-data demographic bias, reduced accuracy for faces with atypical morphology, masks, or assistive devices, and privacy implications when capturing facial data from participants with disabilities.