Online Classroom Evaluation System Based on Multi-Reaction Estimation
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Compared with traditional face-to-face teaching, online learning is more convenient. However, during online classes, it is more difficult for teachers to observe all student reactions at the same time. Our system is designed to help teachers to adjust the speed of their lessons by detecting student reactions. In this study, we estimate student head pose, hand poses, and expressions through the camera, all these poses will be used as criteria for judging the student participation. After estimating, we proposed a method to evaluate classroom participation based on student head pose, hand poses, and facial expression recognition. The estimated result divides the class quality into positive, neutral, and negative, then, under the help of the system, teachers can rearrange the content of the class.
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