Automatic decoding of facial movements reveals deceptive pain expressions.

ABSTRACT: In highly social species such as humans, faces have evolved to convey rich information for social interaction, including expressions of emotions and pain [1-3]. Two motor pathways control facial movement [4-7]: a subcortical extrapyramidal motor system drives spontaneous facial expressions of felt emotions, and 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 [8-11]. However, machine vision may be able to distinguish deceptive facial signals from genuine facial signals by identifying the subtle differences between pyramidally and extrapyramidally driven movements. Here, we show that human obse

SUBMITTER: Bartlett MS 

PROVIDER: S-EPMC4034269 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature