上传一张人像照片，AI 即可深度解析您的面部表情，精准输出快乐、悲伤、愤怒、惊讶等7大情绪的细致百分比评分，完全免费。
最佳检测建议：正对镜头、光线明亮充足、表情自然流露。
或拖拽文件至此处 · 支持 JPG, PNG, WebP
从像素特征到情绪感知的三个步骤。
高密定位眉毛、眼角、唇周微小动作单元 (Action Units)。
对照保罗·艾克曼博士的微表情理论模型进行模式比对。
输出 7 种人类普适情绪的科学概率百分比。
面部微妙的神态往往先于言语传递内心真实态度。
挑选最显亲和力与自信风范的社交网络或职业头像。
直观评估自己面对镜头时表达的情感是否准确。
照片不离开本地设备，利用 WebAssembly 在浏览器完成所有运算。
洋溢着快乐、温暖与积极感染力。检测到苹果肌上提与唇角上扬。
流露出沉思、内敛或淡淡忧伤。嘴角微垂，眉心带有轻微牵拉。
带有强烈的坚定、笃定或威严气场。眉头紧聚，眼神聚焦度高。
流露好奇与意料之外的惊喜感。眼部适度睁大，眉骨抬高。
表现出警觉、谨慎与专注防备。唇肌略微紧绷。
展现出抗拒或审慎的微表情。鼻唇沟处有轻微收缩迹象。
沉稳内敛，面部肌肉放松协调，呈现平和客观的大气风度。
Human facial expressions are produced by coordinated contractions of subcutaneous muscles around the eyebrows, eyelids, nose bridge, cheeks, and lips — documented in psychology as the Facial Action Coding System (FACS). Our AI Emotion Detector runs a two-stage neural pipeline inside your browser using face-api.js (TensorFlow.js with WebGL/WebAssembly): first, SSD MobileNet v1 locates the face and maps 68 facial landmarks to align the eyes and mouth horizontally; second, a depthwise separable convolutional expression network evaluates muscle tension patterns across the aligned face crop.
Rather than outputting a single rigid label, the model computes a softmax probability distribution across all 7 universal emotions: Happy (cheek raiser + lip corner puller), Sad (inner brow raiser + lip corner depressor), Angry (brow lowerer + lid tightener), Surprised (outer brow raiser + jaw drop), Fearful (brow raiser + upper lid raiser + lip stretcher), Disgusted (nose wrinkler + upper lip raiser), and Neutral (relaxed baseline musculature). This lets you inspect both your dominant expression and subtle secondary undertones in any portrait.
Computer vision reads outward facial muscle geometry in a single still frame, not a person's internal emotional state or psychological mood. Resting facial structure, cultural expression norms, camera angle, and lighting contrast can cause a relaxed face to register mild Sad or Angry undertones. All results are provided strictly for informational entertainment, photography feedback, and self-discovery — not psychological or clinical assessment.
Every expression scan runs locally on your device using WebAssembly and WebGL. Verify it yourself: open your browser DevTools (F12), open the Network tab, upload a photo, and see that no image request is ever sent to any server.
关于 AI 面部情绪识别的常见问题。
