Knowra Emotion recognition Emotion recognition Emotion recognition is the identification of emotional states from cues such as facial expressions, vocal qualities, and body language. It can be performed by people or computational systems.
Facial expression : A visible configuration of facial muscles that can communicate emotion, intention, or other information. Facial movements provide prominent visual cues for inferring emotional states.
Emotion : A coordinated response involving subjective experience, bodily changes, expression, and action tendencies. Emotion recognition aims to infer this broader state from observable evidence.
Affective computing : The study and design of systems that detect, interpret, or respond to human affect. Emotion recognition is a central capability sought by affective computing.
Basic emotion theory : The view that a small set of emotions has distinctive, biologically grounded patterns of expression. It supports the idea that facial cues can identify a limited set of emotions across people.
Prosody : The rhythm, stress, and intonation patterns of speech. Changes in pitch, rhythm, and emphasis can signal emotion beyond spoken words.
Affect : A broad term for experiences and expressions of feeling, including emotion and mood. Affective states include more than discrete emotion labels, which recognition systems often overlook.
Facial emotion recognition : The inference of emotional states from facial images or video. This specialized form applies recognition methods to visual facial cues.
Psychological constructionism : The view that emotions are constructed from more basic processes, concepts, and context. It challenges the assumption that each emotion has a fixed, universally recognizable expression.
Body language : Meaning conveyed through posture, movement, gesture, and other bodily behavior. Posture and movement can support or complicate inferences drawn from faces and voices.
Categorical perception : The tendency to perceive continuous differences as belonging to distinct categories. People often sort varied expressions into a small set of emotion categories.
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