Abstract
Due to the outbreak of the new crown epidemic, online teaching is booming, but compared with traditional offline teaching, there are many problems, such as the difficulty of detecting the voice status of students. Therefore, the research on students’ online status detection system is of great significance. In this paper, based on image processing, the detection method of online classroom students’ learning behavior status is studied, and the learning status of students is detected from the perspective of face detection and face recognition fatigue detection. In this study, the students’ learning status is detected by the facial expressions in the video during the students’ learning process. When the students have negative emotions and become tired, the system can detect and record them in time and issue a warning. Therefore, this research can well solve the problems existing in online teaching, and to a certain extent, the teaching quality has been greatly improved.
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