A classroom attention assessment method and system
An attention and classroom technology, applied in the field of education informatization, can solve problems such as low accuracy of classroom attention assessment
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Embodiment 1
[0046] A classroom attention assessment method such as figure 1 shown, including the following steps:
[0047] S1. Perform head posture detection frame by frame on the classroom video collected for a class, and obtain the position frame and head posture of the students in each frame image; count the number of student position frames in each frame image respectively, and obtain each frame The number of students in the image, and the mode of the number of students in each frame image is recorded as the total number of students; among them, the head posture includes: positive head-up and non-positive head-up; positive head-up is the head-up posture of the student's head facing the teaching information source ;The head posture detection model can be used to detect the head posture of the collected classroom video frame by frame; commonly used head posture detection models include RetinaFace model, MTCNN model, SSH model, SSD model, R-FCN model , FasterRCNN model, YoLov3 model, et...
Embodiment 2
[0078]A classroom attention evaluation system, comprising: a head posture detection module, which is used to detect the head posture frame by frame of a classroom video of a class collected, and obtain the position frame and the head posture of the student in each frame image; Count the number of student position boxes in each frame image respectively to obtain the number of students in each frame image, and record the mode of the number of students in each frame image as the total number of students; among them, the head posture includes: positive head and non-normal Head-up; head-up is the student’s head facing the teaching information source; the index calculation module is used to calculate the positive head-up rate and activity index of the class based on the head posture of the students in each frame image and the total number of students; among them, the head-up is The head posture is the average value of the ratio of the number of students whose head posture is positive...
Embodiment 3
[0081] A machine-readable storage medium, the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the following: The classroom attention evaluation method described in embodiment 1.
[0082] The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.
[0083] To sum up, the present invention proposes a more complete and accurate classroom attention assessment method, and constructs a classroom attention assessment system, which can more accurately describe the classroom attention situation and help teachers to carry out effective teaching reflection.
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