上傳一張人像照片，AI 即可深度解析您的面部表情，精準輸出快樂、悲傷、憤怒、驚訝等7大情緒的細緻百分比評分，完全免費。
最佳檢測建議：正對鏡頭、光線明亮充足、表情自然流露。
或拖曳檔案至此處 · 支援 JPG, PNG, WebP
從像素特徵到情緒感知的三個步驟。
高密定位眉毛、眼角、唇周微小動作單元 (Action Units)。
對照保羅·艾克曼博士的微表情理論模型進行模式比對。
輸出 7 種人類普適情緒的科學機率百分比。
面部微妙的神態往往先於言語傳遞內心真實態度。
挑選最顯親和力與自信風範的社群網路或職業頭像。
直觀評估自己面對鏡頭時表達的情感是否準確。
照片不離開本機裝置，利用 WebAssembly 在瀏覽器完成所有運算。
洋溢著快樂、溫暖與積極感染力。檢測到蘋果肌上提與唇角上揚。
流露出沉思、內斂或淡淡憂傷。嘴角微垂，眉心帶有輕微牽拉。
帶有強烈的堅定、篤定或威嚴氣場。眉頭緊聚，眼神聚焦度高。
流露好奇與意料之外的驚喜感。眼部適度睜大，眉骨抬高。
表現出警覺、謹慎與專注防備。唇肌略微緊繃。
展現出抗拒或審慎的微表情。鼻唇溝處有輕微收縮跡象。
沉穩內斂，面部肌肉放鬆協調，呈現平和客觀的大氣風度。
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.
關於 AI 臉部情緒識別的常見問題。
