Analyse des Micro-Expressions par Unités d'Action pour Évaluer Frustration et Anxiété
Décomposition des points du visage en Unités d'Action d'Ekman (AU4, AU12, AU23) pour distinguer frustration passagère et agressivité au volant.
Voiceprint Acoustic Stress Correlation
Combining visual facial Action Units with voice pitch jitter and vocal shimmer provides robust emotion classification during voice assistant conversations.
- Real-time classification of 7 core emotional states at 30 FPS.
- Subtle micro-expression tracking down to 50-millisecond muscle twitches.
- Automated damping of throttle response if extreme aggression/rage is detected.
- Soothing music and climate adjustments deployed seamlessly without explicit prompts.
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