EMPATH: A Neural Network that Categorizes Facial Expressions

  title={EMPATH: A Neural Network that Categorizes Facial Expressions},
  author={Matthew N. Dailey and Garrison W. Cottrell and Curtis Padgett and Ralph Adolphs},
  journal={Journal of Cognitive Neuroscience},
There are two competing theories of facial expression recognition. Some researchers have suggested that it is an example of categorical perception. In this view, expression categories are considered to be discrete entities with sharp boundaries, and discrimination of nearby pairs of expressive faces is enhanced near those boundaries. Other researchers, however, suggest that facial expression perception is more graded and that facial expressions are best thought of as points in a continuous, low… CONTINUE READING
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