Computer software analyzing facial expressions accurately predicts student test performance
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.