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Computer learns 21 facial expressions

AFP-JIJI

U.S. researchers have uncovered a way for computers to recognize 21 distinct and often complex facial expressions, in what is being hailed as a breakthrough in the field of cognitive analysis.

A team from Ohio State University devised a way for computers to pinpoint more than triple the number of documented facial expressions than currently can be detected.

The research, detailed in the current issue of the Proceedings of the National Academy of Sciences, could eventually aid the diagnosis and treatment of mental conditions such as autism and post-traumatic stress disorder.

Until now, cognitive scientists have limited their studies to tracking just six basic basic emotions: happy, sad, fearful, angry, surprised and disgusted.