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Chinese blackboard-writing style analysis system based on big data and computer vision

A computer vision and big data technology, applied in computer parts, computing, data processing applications, etc., can solve problems such as lack of analysis methods, lack of objectivity, and low analysis efficiency, and achieve reasonable analysis results, low implementation difficulty, and analysis. Efficient effect

Active Publication Date: 2020-07-17
ZHENGZHOU INST OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This conventional blackboard analysis and evaluation method lacks objectivity, and is difficult to implement, and the evaluation efficiency is low
[0004] Therefore, in the existing blackboard analysis field, there are problems such as lack of objectivity in analysis methods, difficulty in implementation, and low analysis efficiency

Method used

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  • Chinese blackboard-writing style analysis system based on big data and computer vision

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Experimental program
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Effect test

Embodiment 1

[0032] The Chinese blackboard writing style analysis system based on big data and computer vision includes:

[0033] The data acquisition unit is used to acquire handwriting images on the blackboard and a sequence of pen-down states.

[0034] To analyze the blackboard writing style, it is first necessary to obtain the blackboard writing content, including blackboard handwriting images and pen-down state sequences. The blackboard handwriting image should be a color image, and its RGB three-channel data can be obtained.

[0035] A recommended method to obtain blackboard handwriting images and pen-down information: use API calls to obtain the blackboard handwriting layer and the pen-down state sequence S of the current page that the user is writing with an electromagnetic pen. That is, the implementer uses the program interface to obtain the corresponding data from the online classroom education platform. In addition, the content of blackboard writing on the electronic whiteboa...

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Abstract

The invention discloses a Chinese blackboard-writing style analysis system based on big data and computer vision. The system comprises a data collection unit for acquiring a blackboard writing handwriting image and a writing state sequence; a writing state feature extraction unit for extracting writing state features; a handwriting segmentation heat map obtaining unit for obtaining a handwriting segmentation heat map; a blackboard writing feature extraction unit for performing feature extraction on the handwriting segmentation heat map; a blackboard-writing comprehensive characteristic collection unit for carrying out fusion analysis of the blackboard-writing writing characteristics and the handwriting state characteristics to obtain blackboard-writing comprehensive characteristics. Finally, blackboard-writing comprehensive feature extraction and similarity matching on the blackboard-writing to be analyzed are carried out to obtain a matched blackboard-writing style. In the field of education and teaching, blackboard-writing style analysis is achieved, the analysis result is more objective, the analysis efficiency is high, and the implementation difficulty is low.

Description

technical field [0001] The invention belongs to the fields of computer vision and big data, and in particular relates to a Chinese blackboard writing style analysis system based on big data and computer vision. Background technique [0002] Blackboard writing is an auxiliary teaching method widely used in conventional classroom education in educational places such as colleges and universities, corporate training, vocational training, and primary and secondary education. Specifically, when the lecturer uses the presentation to explain the courseware, he will simultaneously provide auxiliary instructions on the blackboard. With the development of science and technology, electronic blackboard writing has gradually entered the education industry. The emergence of electronic blackboard writing not only brings convenience to classroom education, but also protects teachers and students from dust and protects their health. At present, in classroom education, electronic blackboard ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06Q10/06G06Q50/20
CPCG06Q10/0639G06Q50/205G06V30/333G06V30/36G06N3/045G06F18/22G06F18/214
Inventor 杨忠生范选伟刘雪莹薛冰
Owner ZHENGZHOU INST OF TECH