Affective Computing

The academic field, founded by Dr. Rosalind Picard at MIT in 1995, that studies systems capable of recognizing, modeling, and simulating human affect.

Affective computing established the research foundation that the modern Emotion AI industry is built on. It encompasses face and voice analysis, physiological sensing (heart rate, skin conductance), and machine-learning models that interpret emotional state in context.

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

Back to Facial Analytics Glossary