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Student positive degree evaluation method based on online classroom

An evaluation method, a technology for online classrooms, applied in image data processing, instruments, computer parts, etc., can solve problems such as poor learning quality

Active Publication Date: 2021-06-25
NANJING PLASO NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, online classrooms also have certain disadvantages, such as poor learning quality, and learning quality is particularly important in certain stages of education

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] S1. Live video recording and uploading of students during their learning process;

[0053] S2. Extracting and uploading at least one frame of live video at a set time interval;

[0054] S3. Preprocessing the image extracted in the above steps, the preprocessing includes grayscale processing and normalization processing, so as to obtain the preprocessed image I[x,y] of the face;

[0055] S4. Establish a vertical grayscale integral projection curve for the preprocessed image I[x, y], and obtain the rising point n of the minimum function value in the continuous rise in the vertical grayscale integral projection curve 1 , and the descent point n of the smallest function value in the continuous descent 2 ;

[0056] S5, the above-mentioned rising point n 1 As the left boundary of the face image, the above descending point n 2 Crop as the right boundary of face recognition to obtain a cropped face image;

[0057] S6. Perform binarization processing on the cropped face ima...

Embodiment 2

[0061] S1. Live video recording and uploading of students during their learning process;

[0062] S2. Extracting and uploading at least one frame of live video at a set time interval;

[0063] S3. Preprocessing the image extracted in the above steps, the preprocessing includes grayscale processing and normalization processing, so as to obtain the preprocessed image I[x,y] of the face;

[0064] S4. Establish a vertical grayscale integral projection curve for the preprocessed image I[x, y], and define the vertical grayscale integral projection curve function of the preprocessed image I[x, y] on the image M×N as , and use the M×D image block to move in the preprocessed image I[x,y] to calculate the value of the vertical gray integral projection curve function, the calculation formula is , wherein M is the height of the preprocessing image I, N and D are the width of the preprocessing image, and the D value is 5, in the vertical grayscale integral projection curve;

[0065] S5...

Embodiment 3

[0070] S1. Live video recording and uploading of students during their learning process;

[0071] S2. Extracting and uploading at least one frame of live video at a set time interval;

[0072] S3. Preprocessing the image extracted in the above steps, the preprocessing includes grayscale processing and normalization processing, so as to obtain the preprocessed image I[x,y] of the face;

[0073] S4. Establish a vertical grayscale integral projection curve for the preprocessed image I[x, y], and define the vertical grayscale integral projection curve function of the preprocessed image I[x, y] on the image M×N as , and use the M×D image block to move in the preprocessed image I[x,y] to calculate the value of the vertical gray integral projection curve function, the calculation formula is , wherein M is the height of the preprocessing image I, N and D are the width of the preprocessing image, and the D value is 5, in the vertical grayscale integral projection curve;

[0074] S5...

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PUM

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Abstract

The invention discloses a student positive degree evaluation method based on a network classroom, and the method is characterized in that the method comprises the following steps: S1, carrying out real-time video recording on a student in the learning process of the student, and uploading the video; S2, extracting a frame image; S3, obtaining a preprocessed image I [x, y] of the human face; S4, establishing a vertical gray integral projection curve, and obtaining a rising point n1 and a falling point n2; S5, cutting the left and right boundaries of the image to obtain a cut face image; S6, carrying out binarization to obtain a binarized image; S7, obtaining eyeball pixel points, taking the position of a middle point of the eyeball pixel points in the same range, and calculating the length L of a connecting line of the two eyeball pixel points; and S8, counting the numerical value of the connecting line length L, marking the data lower than the numerical value within a set range as abnormal length data, and counting the length quantity of the abnormal data. The method can effectively reflect the learning positive degree of students.

Description

technical field [0001] The invention relates to a method for evaluating student enthusiasm in a network-based classroom. Background technique [0002] With the advancement of my country's education informatization, online classroom teaching has developed rapidly, but the technical tools used in online classrooms have not been effectively involved. Therefore, the technology that should have brought significant changes to the classroom status has not yet stimulated the huge potential of online classrooms. [0003] Compared with offline classrooms, online classrooms not only allow you to choose your favorite teacher according to your needs, but also the courses can be played repeatedly, and it is also more convenient to use time. [0004] However, online classrooms also have certain disadvantages, such as poor learning quality, which is particularly important in certain stages of education. Contents of the invention [0005] The purpose of the present invention is to propose...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q50/20G06T7/11
CPCG06T7/11G06Q50/205G06V40/161G06V40/19G06V20/40
Inventor 陈军
Owner NANJING PLASO NETWORK TECH CO LTD