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Facial Action Coding System

Paul Ekman and Wallace Friesen’s anatomical decomposition of every human facial movement into scorable, interpretation-free action units—the blueprint that affective computing inherited and, in automating, fundamentally misread.
The Facial Action Coding System, developed by Paul Ekman and Wallace Friesen and completed in 1978, did something no prior approach to facial expression had managed: it set aside the question of what an expression means and addressed first the prior question of what an expression is, anatomically. FACS decomposes visible facial movement into its smallest components—action units, each produced by a specific muscle or muscle group—and assigns each a code and an intensity score. Any human facial expression, however subtle or complex, can be described as a combination of action units; the system is, in principle, exhaustive. Its genius was the deliberate separation of description from interpretation: FACS tells you, with replicability and precision, what a face is doing, while remaining scrupulously silent about what it is feeling. That silence was methodologically essential and commercially inconvenient, and the affective computing industry that automated FACS coding collapsed exactly the distinction Ekman had built. Modern emotion-recognition systems detect action units with increasing accuracy—the description layer
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