Professor Wei Xiaoyong, a science lecturer at Sichuan University in Chengdu, China, has developed a system that he calls the Face Reader for identifying whether his students are bored in class. The Face Reader uses facial recognition software to asses his students throughout the course of his lectures, and, after each lecture, Professor Wei can go back to the data to see which points in his lecture were most interesting and which points need to be spruced up.
The new boredom recognition technique uses existing algorithms and Wei's own research to assess the emotional qualities of faces. The Face Reader then tracks these qualities along a curve from happy to neutral, ultimately assessing whether they are bored throughout the class.
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