Action Unit Micro-Expression Analysis to Assess Frustration and Anxiety
Decomposing facial landmarks into standardized Ekman Action Units (AU4, AU12, AU23) to differentiate transient driving frustration from escalating road rage.
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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