人们读出他人感情部分依赖于模仿他人的面部表情，Neal说，因此“如果传给大脑的脸部肌肉信号得到抑制，你感知这种情感的能力便会变差。”
People read emotions partly by mimicking facial expressions, Neal says, so "if muscular signals from the face to the brain are dampened, you're less able to read emotions."
最近，一个机器人已经能够通过随机扭曲其脸部、并接收有关哪些表达了真正的表情的反馈，如此自学人类的面部表情。
Recently a robot was able to teach itself human facial expressions by randomly contorting its face and receiving feedback on what resembled real expressions.
这种处理情感信息的过程大部分是通过和脸部的实际面部表情合作实现的：高兴的表情，悲伤的表情等等。
This work on omit dala of role on omit dala processing emotional information mostly comes from work with faces: effective face, happy faces, sad faces, and so on.
每当你使用面部肌肉的时候，皮肤下就会形成一道凹槽，这就是你作表情的时候，脸部出现线条的原因。
Each time we use a facial muscle, a groove forms beneath the surface of the skin, which is why we see lines form with each facial expression.
面部反馈假说的一种方法是联想到在显示某种情绪时事什么肌肉在使用，因为脸部肌肉负责面部表情。
A way to test the facial feedback hypothesis is to associate what muscles are used while displaying a certain emotion; since muscles in the face are responsible for the faces appearance.
耶鲁大学的学者们开始研究脸部特征如眉毛的形状，眼皮和皱纹如何影响面部表情。
Yale University researchers set out to determine how facial features like eyebrow shape, eyelids and wrinkles affect facial expressions.
耶鲁大学的学者们开始研究脸部特征如眉毛的形状，眼皮和皱纹如何影响面部表情。
Yale University researchers set out to determine how facial features like eyebrow shape, eyelids and wrinkles affect facial expressions.
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