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Human face identification and image processing-based attention evaluation method

An image processing and face recognition technology, applied in data processing applications, character and pattern recognition, instruments, etc., can solve the problems of concentration and inability to monitor whether students are paying attention to learning, and achieve strong anti-interference, good economy, Strong anti-spoofing effect

Inactive Publication Date: 2017-05-31
CENT SOUTH UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the technical problem that the current online education cannot monitor whether the students' learning attention is concentrated during the learning process, the present invention provides an attention system based on face recognition and image processing that can realize online learning efficiency evaluation and improve the accuracy of online learning performance evaluation. force assessment method

Method used

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  • Human face identification and image processing-based attention evaluation method
  • Human face identification and image processing-based attention evaluation method
  • Human face identification and image processing-based attention evaluation method

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Experimental program
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Embodiment

[0071] Such as figure 1 As shown, this embodiment includes the following steps:

[0072] Step 1: First, use the skin color detection rule to process the image to filter out the non-skin color area; perform pixel screening through the corresponding rules of RGB, YCbCr and HSV three color spaces to obtain the skin color area in the picture. Its screening formula is as follows:

[0073] (R>95)AND(G>40)AND(B>20)AND(max{R,G,B}-min{R,G,B}>15)AND(|R-G|>15)AND(R >G) AND (R>B)

[0074] R, G, and B in the above formula represent the three color channels of red, green, and blue, respectively;

[0075] Cr≤1.5862×Cb+20AND Cr≥0.3448×Cb+76.2069AND Cr≥-4.5652×Cb+234.5652AND Cr≤-1.15×Cb+301.75AND Cr≤-2.2857×Cb+432.85

[0076] Cb and Cr in the above formula represent the blue chroma component and the red chroma component respectively;

[0077] H230

[0078] H in the above formula is the hue value.

[0079] The result of skin color detection is as follows figure 2 shown.

[0080] Step ...

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Abstract

The invention discloses a human face identification and image processing-based attention evaluation method. Face image data of a student in the learning process are collected through a PC camera and analyzed to obtain the positions of five sense organs in a face area, and head and face deflection angles are calculated. A learning efficiency index is calculated by using the head and face deflection angles, and the learning state is judged through the index. The human face identification and image processing-based attention evaluation method has the characteristic that the learning state of a user is judged by using the most intuitive image data, so that the attention evaluation method has relatively high accuracy.

Description

technical field [0001] The invention relates to an attention evaluation method based on face recognition and image processing. Background technique [0002] At present, online education has become more and more widely used at home and abroad, and various learning websites are emerging in an endless stream. Students can access the websites for distance learning at any time, which has the advantages of high real-time performance. But how to effectively test the students' learning effect and evaluate the learning performance has become a problem worth exploring. At present, the commonly used methods are mainly realized through online homework and online examinations, but this method focuses on the learning results but ignores the evaluation of the learning process. The distraction and desertion of the students during the learning process are difficult to be found by the existing detection methods, which reduces the accuracy of the evaluation. Contents of the invention [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q50/20
CPCG06Q50/205G06V40/171G06V40/161
Inventor 张伟王一军樊晓孟
Owner CENT SOUTH UNIV
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