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 the problems of lack of analysis methods, lack of objectivity, low evaluation efficiency, etc., to achieve reasonable analysis results, low implementation difficulty, guarantee The effect of confidentiality
Active Publication Date: 2020-12-18
ZHENGZHOU INST OF TECH
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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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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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The invention discloses a Chinese blackboard writing style analysis system based on big data and computer vision. The system includes: the data acquisition unit acquires handwriting images on the blackboard and the state sequence of writing on the blackboard; the feature of the writing state is extracted by the unit's writing state feature; the handwriting segmentation heat map acquisition unit is used to obtain the handwriting segmentation heat map; Feature extraction: blackboard writing comprehensive feature acquisition unit fuses blackboard writing writing features and handwriting state features to obtain blackboard comprehensive features; finally, blackboard comprehensive feature extraction and similar matching are performed on blackboard writing to be analyzed to obtain matching blackboard style. In the field of education and teaching, the invention realizes the analysis of blackboard writing style, 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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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