[Tyler]

Computer software analyzing facial expressions accurately predicts student test performance
16 April 2014, 12:00 am

The University of California, San Diego and Emotient, the leading provider of facial expression recognition data and analysis, announced publication of a joint study by two Emotient co-founders affiliated with UC San Diego, together with researchers from Virginia Commonwealth University and Virginia State University. The study demonstrates that a real-time engagement detection technology that processes facial expressions can perform with accuracy comparable to that of human observers. ScienceDaily AILink.

Source: AI in the News

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