  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.
