CN110796917A - Computerized writing evaluation and training method - Google Patents
Computerized writing evaluation and training method Download PDFInfo
- Publication number
- CN110796917A CN110796917A CN201810869966.7A CN201810869966A CN110796917A CN 110796917 A CN110796917 A CN 110796917A CN 201810869966 A CN201810869966 A CN 201810869966A CN 110796917 A CN110796917 A CN 110796917A
- Authority
- CN
- China
- Prior art keywords
- written
- text
- stroke information
- training method
- processing unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000013598 vector Substances 0.000 claims description 6
- 238000005070 sampling Methods 0.000 description 3
- 238000013139 quantization Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B11/00—Teaching hand-writing, shorthand, drawing, or painting
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Character Discrimination (AREA)
Abstract
A computerized writing evaluation and training method includes displaying a model text by a display interface unit, receiving a written text written by a writer by a writing input interface, segmenting the written text by a processing unit according to strokes or turning points, decomposing the model text and the strokes of the written text into line segments or short arcs, and comparing the stroke information of the model text and the strokes of the written text by the processing unit to judge whether the written text is written correctly.
Description
Technical Field
The present invention relates to a computerized writing evaluation and training method, and more particularly, to a computerized writing evaluation and training method capable of performing vector analysis or parameter analysis on a handwritten word.
Background
At present, intelligent tablet computers are quite popular, and for copy learning of fonts, program software which can be applied to the intelligent tablet computers is provided for writers to learn in a copy or tracing mode, however, the writing mode of the intelligent tablet computers is not the most natural paper and pen mode, and the size of the written fonts needs to be fixed in a window pane, and the sizes cannot be automatically adjusted.
At present, the way of evaluating the handwriting by a computer is only to display and present the handwritten word and the example word at the same time, but the information in the strokes is not parameterized and vectorized, so when comparing the handwritten word with the example word, the original meaning of each stroke of the handwritten word in a writer is which stroke in the example word or which stroke corresponding to the example word, and there is no effective way to process the relevant information so far.
Therefore, it is a focus of the present application to focus on the problem how to analyze vectors or parameters of the input handwritten word so that the point coordinates of each stroke of the handwritten word can be characterized collectively, so that the accuracy and the finishing performance of the font can be evaluated quantitatively and objectively during writing practice.
Disclosure of Invention
It is an object of the present invention to provide a computerized handwriting evaluation and training method for analyzing vectors or parameters of an input handwritten word.
Another objective of the present invention is to provide a computerized writing evaluation and training method for quantitatively and objectively evaluating the correctness and finishing performance of fonts during writing practice.
The invention relates to a computerized writing evaluation and training method, which is used for a computerized writing evaluation and training system to compare a sample text with a written text written by a writer and generate a plurality of stroke information corresponding to the sample text and the written text, wherein the computerized writing evaluation and training system comprises a writing input interface unit, a display interface unit and a processing unit, the writing input interface unit, the display interface unit and the processing unit are in signal connection with each other, and the computerized writing evaluation and training method comprises the following steps:
a) the display interface unit displays the template characters;
b) the writing input interface accepts the written characters written by the writer;
c) the processing unit segments the written characters according to strokes or turning points;
d) the processing unit decomposes the strokes of the template characters and the written characters into line segments or short arcs; and
e) the processing unit compares the stroke information of the template character and the written character and judges whether the written character is written correctly.
The invention relates to a computerized writing evaluation and training method, which is characterized in that a processing unit segments written characters according to strokes or turning points, and decomposes the model characters and all strokes of the written characters into line segments or short arcs, so that vector or parameter analysis can be carried out on the written characters of a writer, the point coordinates of each stroke of the handwritten input can be gathered and characterized, the original meaning of each stroke of the handwritten input is which stroke in the model characters can be judged, and the correctness and the finishing performance of the characters during writing practice can be quantitatively and objectively evaluated, thereby achieving all the purposes.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a block diagram of a computerized writing evaluation and training method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of the computerized writing evaluation and training method of FIG. 1; and
FIG. 3 is a flowchart illustrating a computerized writing evaluation and training method according to another embodiment of the disclosure.
Detailed Description
Referring to fig. 1, a computerized writing evaluation and training system 1 compares a text sample with a written text written by a writer and generates a plurality of stroke information corresponding to the text sample and the written text, wherein the computerized writing evaluation and training system 1 is an intelligent tablet in this example and includes a writing input interface unit 11, a display interface unit 12 and a processing unit 13, and the writing input interface unit 11, the display interface unit 12 and the processing unit 13 are in signal connection with each other.
Referring to fig. 2, a flowchart of a computerized writing evaluation and training method according to an embodiment of the present invention is shown, in which, initially, as step 201, a model text is displayed by the display interface unit 12, the model text is automatically generated by a program, as step 202, the written text written by a writer is received by the writing input interface 11, as step 203, the processing unit 13 segments the written text by strokes or turning points, as step 204, the processing unit 13 decomposes the model text and the strokes of the written text into line segments or short arcs, wherein the stroke information of the written text is generated and recorded in a vector manner by the position, length and direction of each stroke of the written text, and the stroke information is approximated by a quadratic or cubic linear polynomial, and the position information of the stroke information is constructed by interpolation (interpolation), wherein the interpolation is a data point known to be discrete, finally, in step 205, the processing unit 13 compares the stroke information of the template text and the written text to determine whether the written text is written correctly.
Referring to fig. 1 and 3 together, in this example, as step 201 ', the display interface unit 12 displays a template word, which is automatically generated by a program and can be displayed in a2 × 2 centimeter (cm) character grid with a fixed sampling interval, and the stroke information of the template word is sampled at a distance of 0.1 millimeter (mm), steps 202 and 203 are the same as the previous example, and as step 204 ', the processing unit 13 decomposes the template word and each stroke of the written word into line segments or short arcs, and as the handwritten word is not automatically generated, the sampling interval is determined by a fixed time, in this example, the stroke information of the written word is sampled at a time sampling interval of 5 milliseconds (ms), and then as step 2051 ', the processing unit 13 adjusts the stroke information of the template word and each stroke of the written word to be consistent, comparing the standard text with the stroke information of the written text, wherein the specification and size of the stroke information of the written text are standardized according to the standard text, and finally comparing one by one according to the quantization characteristics of the stroke information as shown in step 2052' to determine whether the written text is written correctly, wherein the quantization characteristics of the stroke information are compared in a manner that the stroke number of the stroke information of the standard text is set as m, the stroke number of the stroke information of the written text is set as n, the stroke information of the written text conforms to the stroke number of the standard text as p, and the processing unit 13 performs m × n times of comparison, the accuracy rate of the written text obtained after the comparison by the processing unit 13 is p/m, and when m ═ n ═ p, the processing unit can determine that the written text is written correctly.
The invention relates to a computerized writing evaluation and training method, which is characterized in that a processing unit is used for segmenting written characters according to strokes or turning points, and decomposing a model text and each stroke of the written characters into line segments or short arcs.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A computerized writing evaluation and training method is provided for a computerized writing evaluation and training system to compare a sample text with a written text written by a writer and to generate a plurality of stroke information corresponding to the sample text and the written text, the computerized writing evaluation and training system comprises a writing input interface unit, a display interface unit and a processing unit, the writing input interface unit, the display interface unit and the processing unit are in signal connection with each other, and the computerized writing evaluation and training method is characterized by comprising the following steps:
a) the display interface unit displays the template characters;
b) the writing input interface accepts the written characters written by the writer;
c) the processing unit segments the written characters according to strokes or turning points;
d) the processing unit decomposes each stroke of the template characters and the written characters into line segments or short arcs; and
e) and the processing unit compares the template characters with the stroke information of the written characters and judges whether the written characters are written correctly.
2. The computerized writing evaluation and training method of claim 1, wherein the step d) comprises a step d1) of generating and recording the stroke information of the written text in a vector manner by using the position, length and direction of each stroke of the written text.
3. The computerized writing evaluation and training method of claim 2, wherein the step d1) comprises a step d11) of approximating the stroke information by a quadratic or cubic linear polynomial and interpolating to construct the position information of the stroke information.
4. The computerized writing evaluation and training method of claim 1, wherein the step a) comprises a step a1) wherein the template text is automatically generated by a program.
5. The computerized writing evaluation and training method of claim 1, wherein the step a1) comprises a step a2) the stroke information of the template word is sampled at a distance of 0.1 mm.
6. The computerized writing evaluation and training method of claim 1, wherein the step d) comprises a step d2) wherein the stroke information of the written text is sampled at a time interval of 5 milliseconds.
7. The computerized writing evaluation and training method of claim 1, wherein the step e) comprises the steps of:
e1) the processing unit adjusts the stroke information of the template characters and the written characters to be consistent; and
e2) and comparing the stroke information one by one according to the quantitative characteristics of the stroke information.
8. The computerized writing evaluation and training method of claim 7, wherein the step e1) comprises a step e11) the specification and size of the stroke information of the written text are standardized according to the template text.
9. The computerized writing evaluation and training method of claim 7, wherein the step e2) includes a step e21) that the number of strokes of the stroke information of the template text is m, the number of strokes of the stroke information of the written text is n, the number of strokes of the written text corresponding to the number of strokes of the template text is p, the processing unit performs m × n comparisons, the accuracy of the written text obtained by the processing unit after the comparison is p/m, and when m ═ n ═ p, the processing unit determines that the written text is written correctly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810869966.7A CN110796917A (en) | 2018-08-02 | 2018-08-02 | Computerized writing evaluation and training method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810869966.7A CN110796917A (en) | 2018-08-02 | 2018-08-02 | Computerized writing evaluation and training method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110796917A true CN110796917A (en) | 2020-02-14 |
Family
ID=69425356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810869966.7A Pending CN110796917A (en) | 2018-08-02 | 2018-08-02 | Computerized writing evaluation and training method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110796917A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1155127A (en) * | 1995-10-12 | 1997-07-23 | 佳能株式会社 | Character sign recognition device and method thereof, and computor controlling device |
| JP3274014B2 (en) * | 1994-03-28 | 2002-04-15 | 松下電器産業株式会社 | Character recognition device and character recognition method |
| CN101101706A (en) * | 2006-07-05 | 2008-01-09 | 香港理工大学 | Chinese writing study machine and Chinese writing study method |
| CN101295371A (en) * | 2008-04-18 | 2008-10-29 | 浙江大学 | Computer estimation method of Chinese character writing morphology beauty |
| CN101393693A (en) * | 2008-09-12 | 2009-03-25 | 浙江大学 | Computer educating method for Chinese character writing |
| CN101393645A (en) * | 2008-09-12 | 2009-03-25 | 浙江大学 | Hand-writing Chinese character computer generation and beautification method |
| CN101551724A (en) * | 2008-03-31 | 2009-10-07 | 联想(北京)有限公司 | Method and device for writing characters on touch screen |
| CN107491543A (en) * | 2017-08-24 | 2017-12-19 | 中国传媒大学 | A kind of client-based calligraphy auxiliary exercise method and system |
-
2018
- 2018-08-02 CN CN201810869966.7A patent/CN110796917A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3274014B2 (en) * | 1994-03-28 | 2002-04-15 | 松下電器産業株式会社 | Character recognition device and character recognition method |
| CN1155127A (en) * | 1995-10-12 | 1997-07-23 | 佳能株式会社 | Character sign recognition device and method thereof, and computor controlling device |
| CN101101706A (en) * | 2006-07-05 | 2008-01-09 | 香港理工大学 | Chinese writing study machine and Chinese writing study method |
| CN101551724A (en) * | 2008-03-31 | 2009-10-07 | 联想(北京)有限公司 | Method and device for writing characters on touch screen |
| CN101295371A (en) * | 2008-04-18 | 2008-10-29 | 浙江大学 | Computer estimation method of Chinese character writing morphology beauty |
| CN101393693A (en) * | 2008-09-12 | 2009-03-25 | 浙江大学 | Computer educating method for Chinese character writing |
| CN101393645A (en) * | 2008-09-12 | 2009-03-25 | 浙江大学 | Hand-writing Chinese character computer generation and beautification method |
| CN107491543A (en) * | 2017-08-24 | 2017-12-19 | 中国传媒大学 | A kind of client-based calligraphy auxiliary exercise method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110275834B (en) | User interface automatic test system and method | |
| KR102392537B1 (en) | Systems and methods for guiding handwriting diagram input | |
| US9904847B2 (en) | System for recognizing multiple object input and method and product for same | |
| CN109063587B (en) | Data processing method, storage medium and electronic device | |
| CN108090043B (en) | Error correction report processing method and device based on artificial intelligence and readable medium | |
| JPH06243297A (en) | Method and equipment for automatic handwritten character recognition using static and dynamic parameter | |
| KR20000057730A (en) | Handwriting information processing system with character segmentation user interface | |
| CN1770174A (en) | Parsing hierarchical lists and outlines | |
| US11687618B2 (en) | System and method for processing text handwriting in a free handwriting mode | |
| CN112507806B (en) | Intelligent classroom information interaction method and device and electronic equipment | |
| CN112711362B (en) | Method and device for generating hand-drawn flow chart icon in standardized manner | |
| KR20140089915A (en) | Method and apparatus for adjusting handwritten character | |
| CN112396032B (en) | Writing detection method and device, storage medium and electronic equipment | |
| US20230008529A1 (en) | Gesture stroke recognition in touch-based user interface input | |
| CN114549993A (en) | Method, system and device for scoring line segment image in experiment and readable storage medium | |
| US10685222B2 (en) | Computerized writing evaluation and training method | |
| CN112926621A (en) | Data labeling method and device, electronic equipment and storage medium | |
| EP3736677A1 (en) | A method and corresponding device for selecting and editing handwriting input elements | |
| CN112580574A (en) | Intelligent learning method and device based on handwritten character recognition | |
| CN110796917A (en) | Computerized writing evaluation and training method | |
| Leblay et al. | A graph theory approach to online writing data visualization | |
| CN115294573A (en) | Job correction method, device, equipment and medium | |
| CN107025211B (en) | Copy ruler suspension control method and device for font analysis | |
| Boubaker et al. | GLoBD: geometric and learned logic algorithm for straight or curved handwriting baseline detection. | |
| CN110414496B (en) | Similar word recognition method and device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |