基于面部动作单元(AU)微表情深度解构驾驶员挫败感与急性焦虑
将面部特征点拓扑映射至国际埃克曼动作单元(如 AU4 皱眉、AU12 唇角上提、AU23 抿嘴),精准区分驾驶员瞬间轻微烦躁与即将爆发的危险路怒。
车载麦克风声纹基频微抖动多模态交叉验证
将视觉面部动作单元与语音助手对话过程中拾取的人声基频微抖动 (Jitter) 与振幅微扰 (Shimmer) 联合推演,达成超过 96% 极高置信度的情绪状态定性。
- 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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