Automatic decoding of facial movements reveals deceptive pain expressions.
Automatic decoding of facial movements reveals deceptive pain expressions.
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DOI：
10.1016/j.cub.2014.02.009
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发表时间：
2014-03-31
期刊：
影响因子：
--
通讯作者：
Lee K
中科院分区：
文献类型：
--
作者：
Bartlett MS;Littlewort GC;Frank MG;Lee K
在人类等高度社会化的物种中，面部已经进化为传达丰富的社会互动信息，包括情感和痛苦的表达。两个运动通路控制面部运动。皮质下的锥体外系运动系统驱动情绪的自发面部表情。皮质锥体运动系统控制随意的面部表情。金字塔系统使人类能够模拟实际上没有经历过的情绪的面部表情。他们的模拟是如此成功，以至于他们可以欺骗大多数观察者。然而，机器视觉可能能够通过识别脑内和脑外驱动运动之间的细微差异来区分欺骗性的面部信号和真实的面部信号。在这里，我们表明，人类观察者不能区分真实的假表情的痛苦比机会，并经过训练，提高准确率到一个温和的55%。然而，自动测量面部运动并对这些运动进行模式识别的计算机视觉系统达到了85%的准确率。该机器系统的优越性是由于它能够区分真正的表情和虚假表情的动态。因此，通过机器视觉系统揭示面部动作的动态，我们的方法有可能阐明参与情绪信号的神经控制系统的行为指纹。
In highly social species such as humans, faces have evolved to convey rich information for social interaction, including expressions of emotions and pain. Two motor pathways control facial movement. A subcortical extrapyramidal motor system drives spontaneous facial expressions of felt emotions. A cortical pyramidal motor system controls voluntary facial expressions. The pyramidal system enables humans to simulate facial expressions of emotions not actually experienced. Their simulation is so successful that they can deceive most observers. Machine vision may, however, be able to distinguish deceptive from genuine facial signals by identifying the subtle differences between pyramidally and extrapyramidally driven movements. Here we show that human observers could not discriminate real from faked expressions of pain better than chance, and after training, improved accuracy to a modest 55%. However a computer vision system that automatically measures facial movements and performs pattern recognition on those movements attained 85% accuracy. The machine system’s superiority is attributable to its ability to differentiate the dynamics of genuine from faked expressions. Thus by revealing the dynamics of facial action through machine vision systems, our approach has the potential to elucidate behavioral fingerprints of neural control systems involved in emotional signaling.
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