Affective Computing

An academic field founded by Dr. Rosalind Picard at MIT in 1995. Model outputs are estimates, not verified emotional states.

Affective computing established a research foundation for systems that analyze face, voice, physiological sensing, and other observable inputs. Model outputs remain estimates rather than verified emotional states.

Today the term is used somewhat interchangeably with Emotion AI in industry, though affective computing tends to refer to the broader academic discipline.

Related terms: emotion ai, facial landmark detection

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