CN110378329B

CN110378329B - Intelligent auxiliary calligraphy practicing system based on dot matrix pen

Info

Publication number: CN110378329B
Application number: CN201910500351.1A
Authority: CN
Inventors: 陶树奎; 赵东林
Original assignee: Shenzhen Fubang Education Management Co ltd
Current assignee: Fubang Education Technology Shenzhen Co ltd; Kuixing Holdings Shenzhen Co ltd
Priority date: 2019-06-11
Filing date: 2019-06-11
Publication date: 2021-11-23
Anticipated expiration: 2039-06-11
Also published as: CN110378329A

Abstract

The invention provides an intelligent auxiliary calligraphy practicing system based on a dot matrix pen, which comprises a writing board, the dot matrix pen, a content processing module and a display screen, wherein the writing board is used for writing a calligraphy practice instruction; the writing board is used for writing practice of a calligraphy exerciser; the dot matrix pen is used for recording the writing content of the calligraphy practicer on the writing board and sending the writing content to the content processing module; the content processing module is used for receiving the writing content and converting the writing content into a calligraphy practising person font sample; the system also comprises a display screen, a character input module and a character input module, wherein the character input module is used for inputting a character sample of a character exerciser and at least one preset standard character sample; the display screen is used for generating corresponding copybook information by using the practice font sample and displaying the copybook information so that a calligraphy exerciser can write and practice according to the copybook information; the dot matrix pen and the display screen are respectively in wireless connection with the content processing module.

Description

Intelligent auxiliary calligraphy practicing system based on dot matrix pen

Technical Field

The invention relates to the field of electronic copybooks, in particular to an intelligent auxiliary calligraphy practicing system based on a dot matrix pen.

Background

Calligraphy is the treasure of the traditional culture art of China, and people generally finish the exercise of calligraphy through copybook copying, but because copybook content is single and the exercise process is dull, the effect of calligraphy exercise performed by people through copybook copying is poor.

Meanwhile, the difference between the font structure, the stroke and the writing habit of a plurality of calligraphy practicing persons and the font structure, the stroke and the writing habit of a calligraphy writer corresponding to the copybook is huge, so that a large psychological fall is caused, and the calligraphy practicing persons are usually wasted by half. In addition, the calligraphy practicer is difficult to have energy to judge and search the proper font for practice, so that the efficiency of copybook practice of the existing calligraphy practicer is low, and the total practice time is long.

Disclosure of Invention

The embodiment of the invention provides an intelligent auxiliary calligraphy practicing system based on a dot matrix pen, which can effectively improve the efficiency of copybook practice and shorten the copybook practice time of a calligraphy exerciser; the technical problems that the efficiency of copybook practice of the existing calligraphy practicing person is low and the total practice time is long are solved.

The embodiment of the invention provides an intelligent auxiliary calligraphy practicing system based on a dot matrix pen, which comprises:

the writing board is used for writing practice of a calligraphy exerciser;

the dot matrix pen is used for recording the writing content of the calligraphy practicer on the writing board and sending the writing content to the content processing module;

the content processing module is used for receiving the writing content and converting the writing content into a font sample of a calligraphy practicer; the font sample generator is also used for generating a corresponding exercise font sample according to the font sample of the calligraphy exerciser and at least one preset standard font sample, and sending the exercise font sample to a display screen;

the display screen is used for generating corresponding copybook information by using the exercise font sample and displaying the copybook information so that a calligraphy exerciser can write and exercise conveniently;

the dot matrix pen and the display screen are respectively in wireless connection with the content processing module.

Compared with the prior art, the intelligent auxiliary calligraphy practicing system based on the dot matrix pen generates the exercise font characteristic combination based on the initial font characteristic combination and the target font characteristic combination, and as for the calligraphy practicing person, the exercise difficulty of the exercise font corresponding to the continuously updated exercise font characteristic combination is low, the copybook exercise efficiency of the calligraphy practicing person is improved, and the copybook exercise time of the calligraphy practicing person is shortened; the technical problems that the efficiency of copybook practice of a calligraphy exerciser in the existing intelligent auxiliary calligraphy practicing system is low and the total practice time is long are solved effectively.

Drawings

FIG. 1 is a schematic structural diagram of an embodiment of an intelligent auxiliary calligraphy practicing system based on a dot matrix pen according to the invention;

FIG. 2 is a flowchart of a first embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system of the present invention;

FIG. 3 is a flowchart of a second embodiment of the intelligent assisted word practice system generating copybook information of the present invention;

FIG. 4 is a flowchart of a third embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system of the present invention;

FIG. 5 is a flowchart of a fourth embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system of the present invention;

FIG. 6a is a schematic view of an interactive environment structure of the intelligent auxiliary calligraphy practicing system of the present invention;

FIG. 6b is a flow chart of a corresponding embodiment of the intelligent auxiliary handwriting practicing system of the present invention;

FIG. 7 is a schematic diagram of a working environment structure of an electronic device in which a content processing module of the intelligent auxiliary calligraphy practicing system is located.

Detailed Description

Referring to the drawings, wherein like reference numbers refer to like elements, the principles of the present invention are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the invention and should not be taken as limiting the invention with regard to other embodiments that are not detailed herein.

In the description that follows, embodiments of the invention are described with reference to steps and symbols of operations performed by one or more computers, unless otherwise indicated. It will thus be appreciated that those steps and operations, which are referred to herein several times as being computer-executed, include being manipulated by a computer processing unit in the form of electronic signals representing data in a structured form. This manipulation transforms the data or maintains it at locations in the computer's memory system, which may reconfigure or otherwise alter the computer's operation in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the invention have been described in language specific to above, it is not intended to be limited to the specific details shown, since one skilled in the art will recognize that various steps and operations described below may be implemented in hardware.

Referring to fig. 1, fig. 1 is a schematic structural diagram of an embodiment of an intelligent auxiliary calligraphy practicing system based on a dot matrix pen. The intelligent auxiliary calligraphy practicing system 10 of the embodiment comprises a writing board 11, a dot matrix pen 12, a content processing module 13 and a display screen 14.

The writing board 11 is used for writing practice by a calligraphy exerciser; the dot matrix pen 12 is used for recording the writing content of the calligraphy practicer on the writing board and sending the writing content to the content processing module; the content processing module 13 is configured to receive writing content and convert the writing content into a font sample of a writer; the system also comprises a display screen, a character input module and a character input module, wherein the character input module is used for inputting a character sample of a character exerciser and at least one preset standard character sample; the display screen 14 is used for generating corresponding copybook information by using the exercise font sample and displaying the copybook information so that a calligraphy practicer can perform writing exercise according to the copybook information; the dot matrix pen and the display screen are respectively in wireless connection with the content processing module.

In practical application, the display screen 14 and the writing board 11 can be integrated, so that a calligraphy practicer can write and practice on the integrated writing board and can see the copybook information to be practiced through the integrated writing board.

The content processing module 13 of the present embodiment includes a processing chip 131, a memory 132, a communication module 133, and a speaker 134. The processing chip 131 is configured to convert the writing content into a font sample of a calligraphy exerciser, and generate a corresponding exercise font sample according to the font sample of the calligraphy exerciser and a preset standard font sample; the memory 132 is used for storing preset standard font samples and corresponding computer programs; the communication module 133 is configured to wirelessly communicate with the dot-matrix pen and the display screen; the speaker 134 is used for voice prompt.

The intelligent auxiliary calligraphy practicing system 10 of the embodiment can be operated off-line, and if necessary, the content processing module 13 can be subjected to data updating operation through the background server 15, so as to generate a practice font sample better; or storing the personalized information (such as font samples of the calligraphy practicers) of the calligraphy practicers in the cloud.

When the calligraphy person practises the copybook, the show of practising the calligraphy typeface is carried out on display screen 14, and the person of practising the calligraphy uses dot matrix pen 12 to accomplish the copybook exercise on display screen 14, and content processing module 13 can provide corresponding exercise suggestion according to the current exercise condition of person of practising the calligraphy simultaneously to improve person's exercise efficiency. In addition, the display screen 14 can update the exercise font in time according to the current exercise condition of the calligraphy practicing person, so that the exercise interest and the exercise efficiency of the calligraphy practicing person are improved.

Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system 10 according to the present invention. The method for generating the copybook information of the embodiment can comprise the following steps:

step S201, obtaining a font sample of a calligraphy exerciser, and extracting an initial font feature combination in the font sample of the calligraphy exerciser;

step S202, acquiring a standard font characteristic combination, and taking the standard font characteristic combination as a target font characteristic combination;

step S203, generating an exercise font characteristic combination according to the initial font characteristic combination and the target font characteristic combination; generating a corresponding exercise font sample according to the exercise font characteristic combination;

step S204, generating corresponding copybook information on the electronic copybook by using the exercise font sample.

The following describes in detail the specific flow of the steps of the method for generating the signature information according to the present embodiment.

In step S201, the dot matrix pen obtains a font sample of the calligraphy exerciser, where the font sample of the calligraphy exerciser is a font sample of a current writing font of the calligraphy exerciser, and if 200 to 3000 specified characters can be written by the calligraphy exerciser according to a requirement, the font sample of the calligraphy exerciser specific to the calligraphy exerciser is generated.

And then, the content processing module learns the acquired typeface sample of the calligraphy practicer to acquire an initial typeface feature combination in the typeface sample of the calligraphy practicer. Specifically, the content processing module may extract at least one of a font stroke feature, a font segment feature, a font structural feature, a font radical feature, and an inter-character structural feature in the font sample of the learner as an initial font feature combination in the font sample of the learner.

The font stroke characteristics comprise stroke length characteristics, stroke width characteristics, stroke strength characteristics, horizontal and vertical stroke strength difference characteristics, stroke jitter characteristics, stroke bending characteristics, stroke disturbance characteristics and the like.

The stroke length is characterized by the length of each stroke forming the font, namely the length from the starting point of the stroke to the end point of the corresponding stroke, and the number N of pixel points between the starting point of the available stroke and the end point of the corresponding stroke₁Is shown as a₁＝N₁Wherein a is₁Is the eigenvalue of the stroke length characteristic.

The stroke width characteristic is the width of each stroke constituting the font, and is the width average value of stroke positions corresponding to a point set in the stroke length direction, that is, the stroke width characteristic is

Where n is the number of point sets, W_iIs the width value at i, i is the count value, a₂Is the eigenvalue of the stroke width characteristic.

The stroke strength characteristic is used for expressing the strength change of a writer during writing and is the deviation degree of the stroke width of each point in the stroke length direction and the average stroke width, namely

Wherein a is₃Is the characteristic value of the stroke strength characteristic.

The horizontal stroke and vertical stroke strength difference characteristic is used for expressing the average force condition of a writer when the writer writes a horizontal stroke and a vertical stroke, and can be expressed as follows:

wherein h is_iRepresenting the width value, s, of the horizontal stroke at i_iRepresenting the width value of the longitudinal stroke at i, a₄The characteristic value of the force characteristic of horizontal and vertical strokes is obtained.

The stroke jitter characteristic is used for representing the trend of strokes and can be represented as follows:

wherein y is_mIndicating the initial value of the longitudinal position of the stroke, y_nIndicating the longitudinal position end value, x, of the stroke_mIndicating the starting value, x, of the stroke's lateral position_nIndicating the longitudinal position end value of the stroke, a₅Is the characteristic value of the stroke shake characteristic.

Stroke bending features are used to characterize strokes having a degree of bending to indicate different writing preferences. Can be expressed as:

wherein a is₆Is the characteristic value of the stroke curvature characteristic, wherein n represents the point set number of the stroke, and the stroke is composed of point sets (P (x) connected in sequence₁,y₁),P(x₂,y₂),...,P(x_n,y_n) In which x is_nAs the lateral position of the corresponding point, y_nIs the longitudinal position of the corresponding point.

The stroke disturbance characteristic is a characteristic representing stroke irregularity, such as downward heavy pressing when a writer puts down a pen and upward slight lifting when the writer receives the pen, so that the trend of the stroke and the trend of a connecting line of two end points of the stroke can be disturbed, for example, the coordinates of the two end points of the stroke are respectively P_s(x_s,y_s)、P_e(x_e,y_e) The coordinate of the intersection of the line connecting the two end points and the stroke is P (x)_p,y_p)；

The perturbation signature can be expressed as:

wherein a is₇The eigenvalues of the stroke perturbation features.

The font segment characteristics include a horizontal segment characteristic, a vertical segment characteristic, a horizontal and vertical segment difference characteristic and the like. The portions of the intersected stroke that would be divided by the intersection are called segments.

The horizontal stroke segment characteristic is the horizontal length of the segments that make up the stroke, and can be expressed as:

a₈＝N₂；

wherein a is₈Characteristic value, N, characteristic of the horizontal segment₂The number of pixels is the transverse distance between the starting point of the pen section and the end point of the corresponding pen section.

The longitudinal segment is characterized by the longitudinal length of the segments that make up the stroke, and can be expressed as:

a₉＝N₃；

wherein a is₉Characteristic value, N, characteristic of longitudinal segment₃The number of the pixel points is the longitudinal distance between the starting point of the pen section and the end point of the corresponding pen section.

The difference characteristic of the horizontal and vertical stroke sections is the horizontal and vertical length ratio of the stroke sections, can be used for judging the inflection point characteristic of the font stroke, reflects the interference and the continuity characteristic of the font stroke, and can be expressed as:

a₁₀and epsilon represents an infinitesimal value for the characteristic value of the difference characteristic of the horizontal and vertical stroke segments.

The font radical feature here includes a radical structural feature, a radical center-of-gravity feature, and the like.

The radical structure is characterized by the geometric ratio of different radical structures in a font, can be used for expressing the coordinated aesthetic feeling of the font, and can be expressed as:

x_i、y_ithe characters are the matching ratio of the radicals of the inner and outer structures, the upper and lower structures and the left and right structures of a single character, f (i, j) is a proportional relation function when the radicals are in the structure of a single radical, a₁₁Is the characteristic value of the structural characteristic of the radical.

The radical barycenter feature is the barycenter offset feature of different radicals inside the font, and is used for measuring the deformation and the radical dislocation of the font, and can be expressed as follows:

g (i, j) is a skeletal matrix of the font, x_i、y_iThe Chinese character is a single character internal and external structure, an upper and lower structure, a matching ratio of radicals of a left and right structure₁₂Is the characteristic value of the gravity center characteristic of the radical.

The font structural features comprise font gradient features, font gravity center features, font external structural features, font internal structural features and the like.

The font gradient characteristic represents the general trend of the font, and is calculated by using the starting positions of all strokes in the font and the stroke receiving positions of the corresponding strokes, and can be represented as follows:

wherein y is_imIs the initial value of the longitudinal position of stroke i, y_inIndicating the longitudinal position termination value, x, of stroke i_imIndicating the starting value, x, of the lateral position of stroke i_inIndicating the longitudinal position end value, a, of stroke i₁₃Is the characteristic value of the character gradient characteristic.

The font center feature represents the center-of-gravity position feature of the font and can be represented as:

a₁₄＝F(x，y)；

where g (i, j) is the skeletal matrix of the font, a₁₄The feature value of the barycentric location feature is shown, wherein (x, y) is barycentric location coordinates, and F is a function for calculating the barycentric location feature.

The external structural character of the font represents the frame shape of the font, if the frame shape of the font is square, the frame shape of the font is rectangle, here, the aspect ratio R of the font represents the external structural character of the font, which can be expressed as:

wherein a is₁₅Is the external structural characteristic of the font.

The internal structure characteristic of the font represents the internal stroke contour distribution of the font, the font can be divided into two parts of S1 and S2 according to the internal and external structures, the upper and lower structures and the left and right structures of a single font, and the internal structure characteristic of the font can be identified

Expressed as:

wherein m is the number of the pixel points in S1, n is the number of the pixel points in S2, a₁₆The characteristic value of the internal structural feature of the font.

The character-to-character structural feature comprises an adjacent character size feature, an adjacent character gradient feature and the like.

Adjacent font size characteristics represent the size ratio of adjacent fonts, e.g. n text outlines Q ═ Q₁,q₂,...，q_n}，q_nFor the word outline value, the structural feature between words can be expressed as:

wherein a is₁₇The feature values of the adjacent font size features.

The adjacent font gradient feature represents a difference value of gradients of adjacent fonts, and is used for evaluating the overall aesthetic degree of writing, and is represented as:

wherein r is_iAs the degree of slant of a single font, a₁₈The feature values of the adjacent font gradient features.

The electronic equipment can obtain the initial font characteristic combination A (a) of the font sample of the calligraphy practicer based on the calculation of the characteristic value_1a,a_2a,...,a_18a)。

In step S202, the content processing module obtains a preset standard font feature combination.

Specifically, the electronic device obtains a preset standard font sample, such as 200 to 3000 specified words written by a certain calligrapher or specified words collected from a previously written book, so as to form the standard font sample. The electronic device then learns the obtained standard font samples to obtain a standard font feature combination of the standard font samples, where a standard font feature combination B (a) can be set_1b,a_2b,...,a_18b). Here, the electronic device extracts at least one of the font stroke feature, the font segment feature, the font structural feature, the font radical feature, and the inter-character structural feature in the standard font sample as the standard font feature combination in the standard font sample, and the specific standard font feature combination is similar to the extraction process of the initial font feature combination.

In order for the practicer to learn the standard font sample, the content processing module combines B (a) the standard font features_1b,a_2b,...,a_18b) As a target font feature combination.

In step S203, the content processing module generates a practice font feature combination according to the initial font feature combination obtained in step S201 and the target font feature combination obtained in step S202, so that the calligraphy practicer can practice.

Specifically, the content processing module may perform a weighting operation on the initial font feature combination and the target font feature combination by using a preset exercise weight to generate an exercise font feature combination.

If the exerciser directly learns the standard font sample, the exercise efficiency of the exerciser may be low, and in order to improve the exercise efficiency of the exerciser, an exercise font sample that is closer to both the exerciser font sample and the standard font sample is generated.

The preset exercise weight ratio can be set to be 3:1 to 6:1, namely the feature value of the exercise font feature combination is approximately

Wherein m is a preset exercise weight ratio. When m is larger, the feature value of the exercise font feature combination is closer to the feature value of the initial font feature combination.

And then the content processing module generates a corresponding exercise font sample according to the characteristic value of the generated exercise font characteristic combination, wherein the exercise font sample is also closer to the font sample of the calligraphy exerciser, so that the exercise difficulty of the calligraphy exerciser is further reduced.

In step S204, the content processing module generates corresponding copybook information on the display screen by using the exercise font sample generated in step S203, so that the calligraphy practicer can directly perform copybook exercise on the writing board by using a calligraphy practicing device such as a dot-matrix pen.

After the time is set, the content processing module can circularly repeat the steps, so that the font sample of the calligraphy exerciser written by the calligraphy exerciser is continuously close to the standard font sample, and the efficient copybook exercise of the calligraphy exerciser is realized.

Thus, the process of generating the copybook information by the intelligent auxiliary calligraphy practicing system of the embodiment is completed.

The intelligent auxiliary calligraphy practicing system of the embodiment generates the exercise font characteristic combination based on the initial font characteristic combination and the target font characteristic combination, and as for the calligraphy practicing person, the exercise difficulty of the exercise font corresponding to the continuously updated exercise font characteristic combination is lower, the copybook exercise efficiency of the calligraphy practicing person is improved, and the copybook exercise time of the calligraphy practicing person is shortened.

Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system according to the present invention, where the method for generating copybook information in the present embodiment includes:

step S301, obtaining a font sample of a calligraphy exerciser, and extracting an initial font feature combination in the font sample of the calligraphy exerciser;

step S302, acquiring standard font feature combinations of a plurality of preset standard font samples, and taking the standard font feature combination of the standard font sample with the minimum feature combination offset with the initial font feature combination as a target font feature combination;

step S303, generating an exercise font characteristic combination according to the initial font characteristic combination and the target font characteristic combination; generating a corresponding exercise font sample according to the exercise font characteristic combination;

step S304, generating corresponding copybook information on the electronic copybook by using the exercise font sample.

Steps S301, S303, and S304 of the present embodiment are the same as or similar to steps S201, S203, and S204 of the first embodiment of the method for generating the signature information, and refer to the detailed description of the first embodiment of the method for generating the signature information.

In step S302 of the present embodiment, the content processing module obtains a plurality of preset standard font samples, such as a specified word written by a plurality of calligraphers or a specified word collected from a previously written book, thereby forming a plurality of standard font samples.

The content processing module then learns the obtained plurality of standard font samples to obtain standard font feature combinations corresponding to the plurality of standard font samples, where a plurality of standard font feature combinations B1 (a) can be set_1b1,a_2b1,...,a_18b1)、B2(a_1b2,a_2b2,...,a_18b2) And the like. Here, the same content processing module extracts at least one of the font stroke feature, the font segment feature, the font structural feature, the font radical feature, and the inter-character structural feature in the standard font sample as the standard font feature combination in the standard font sample, and the specific process of the standard font feature combination is similar to the above-mentioned process of extracting the initial font feature combination.

In order to further improve the efficiency of the copybook practice of the practicer, the content processing module selects a standard font sample closest to the practicer font sample of the practicer from the plurality of standard font samples to produce a practice font sample. That is, the electronic device will use the standard font feature combination of the standard font sample with the smallest feature combination offset with the initial font feature combination as the target font feature combination.

For example, the deviation between the feature value of each feature in the standard font feature combination and the feature value of the corresponding feature in the initial font feature combination is calculated, and then the feature value deviations of each type are added, so that the feature combination offset of the standard font feature combination and the initial font feature combination is the minimum. Of course, in order to enhance the calculation accuracy, the feature value deviation of each category is corrected by using the preset weight, so as to reduce the influence of different types of feature value influence differences on the feature combination offset.

On the basis of the first embodiment, the intelligent auxiliary calligraphy practicing system of the embodiment generates the target font characteristic combination by using the standard font characteristic combination of the standard font sample with the minimum characteristic combination offset, so that the difference between the practice font sample and the calligraphy practicing sample is further reduced, and the practice difficulty of the calligraphy practicing person is further reduced.

Referring to fig. 4, fig. 4 is a flowchart illustrating a method for generating copybook information by an intelligent auxiliary calligraphy practicing system according to a third embodiment of the present invention, where the method for generating copybook information includes:

step S401, obtaining a font sample of a calligraphy exerciser, and extracting an initial font feature combination in the font sample of the calligraphy exerciser;

step S402, acquiring a standard font characteristic combination, and taking the standard font characteristic combination as a target font characteristic combination;

step S403, generating an exercise font characteristic combination according to the initial font characteristic combination and the target font characteristic combination; generating a corresponding exercise font sample according to the exercise font characteristic combination;

step S404, generating corresponding copybook information on the electronic copybook by using the exercise font sample;

step S405, obtaining a font sample of the current calligraphy exerciser at a set time interval, and extracting a current font feature combination in the font sample of the current calligraphy exerciser;

step S406, calculating the difference characteristic combination offset of the current font characteristic combination and the corresponding practice font characteristic combination;

step S407, if the offset of the difference characteristic combination is smaller than a preset value, generating an exercise font characteristic combination according to the current font characteristic combination and the target font characteristic combination; updating the exercise font sample according to the exercise font characteristic combination so as to generate corresponding copybook information on the electronic copybook by using the updated exercise font sample; and if the difference characteristic combination offset is larger than or equal to the preset value, continuing to use the current exercise font sample to generate corresponding copybook information on the electronic copybook.

Steps S401 to S404 of this embodiment are the same as or similar to steps S201 to S204 of the first embodiment of the method for generating the signature information, and refer to the detailed description of the first embodiment of the method for generating the signature information.

In step S405, the content processing module obtains a font sample of a current calligraphy exerciser of the calligraphy exerciser at a set time interval, so as to determine whether the font sample needs to be updated.

And then the content processing module learns the acquired font sample of the current calligraphy exerciser to acquire the current font feature combination in the font sample of the current calligraphy exerciser. Specifically, the content processing module may extract at least one of a font stroke feature, a font segment feature, a font structural feature, a font radical feature, and an inter-character structural feature of the current font sample of the learner as a current font feature combination of the current font sample of the current learner.

In step S406, the content processing module calculates a difference feature combination offset between the current font feature combination in the current font sample of the learner obtained in step S405 and the practice font feature combination of the corresponding practice font sample; namely, the difference value between the font sample of the current practicer and the set practice font sample is obtained.

The specific content processing module can calculate the deviation of the characteristic value of each characteristic in the practice font characteristic combination and the characteristic value of the corresponding characteristic in the current font characteristic combination, and then adds the characteristic value deviations of each type to obtain the difference characteristic combination offset of the current font characteristic combination and the corresponding practice font characteristic combination. Of course, in order to enhance the calculation accuracy, the feature value deviation of each category is corrected by using the preset weight, so as to reduce the influence of different types of feature value influence differences on the difference feature combination offset.

In step S407, if the calculated offset of the obtained difference feature combination in step S406 is smaller than the predetermined value, which indicates that the font sample of the current practicer is very close to the set exercise font sample, the exercise font sample needs to be updated so as to make the exercise font sample and the standard font sample closer to each other.

Specifically, the content processing module may generate the practice font feature combination according to the current font feature combination of the current font sample of the current practicer and the target font feature combination corresponding to the standard font sample. For example, the current font feature combination and the target font feature combination may be weighted by using the preset exercise weight to generate the exercise font feature combination.

The preset exercise weight ratio can be set to be 3:1 to 6:1, and certainly, since the offset of the feature combination of the current font feature combination and the target font feature combination is smaller and smaller as the exercise progresses, in order to further improve the efficiency of the exercise, the preset exercise weight ratio can be gradually reduced as the update times are increased, so that the absolute value of the offset of the feature combination of the current font feature combination and the target font feature combination is kept relatively stable, and the update frequency of the exercise font sample is not too high.

And then the content processing module updates the exercise font samples according to the exercise font characteristic combinations and generates corresponding copybook information on the display screen by using the updated exercise font samples, so that a calligraphy practicer can directly practice copybooks on the writing board by using a dot matrix pen and other exercise equipment.

If the calculated and obtained difference feature combination offset is greater than or equal to the preset value in step S406, it indicates that the difference between the current font sample of the calligraphy exerciser and the practice font sample is increased, and the calligraphy exerciser continues to use the current practice font sample to generate corresponding copybook information on the display screen for performing copybook practice.

And then returning to the step S405 until the characteristic difference between the current font characteristic combination of the font sample of the current calligraphy exerciser and the target font characteristic combination of the standard font sample is smaller than a certain preset specific value, namely, the calligraphy exerciser finishes the corresponding copybook exercise.

Preferably, the content processing module may further obtain a plurality of difference feature offset components of the difference feature combination offset, such as an offset component of the font stroke feature, an offset component of the font segment feature, or an offset component of the stroke length feature of the font stroke feature. The difference characteristic offset component can better feed back the main reason of the generation of the difference characteristic combination offset, namely whether the current writing font of the calligraphy practicer is a font structure problem or a stroke structure problem and the like.

The content processing module may then obtain the largest difference feature offset component and determine font correction information. The font correction information is a suggestion to the practicer to narrow down the offset component of the difference feature. If the stroke length of the practicer is uniform and short, and the offset component of the stroke length characteristic is maximum, the font correction information which suggests the practicer to properly lengthen the stroke length can be generated.

After the content processing module obtains the font correction information, the display screen or the sound box can simultaneously feed the font correction information back to the calligraphy practicer, so that the calligraphy practicer can improve the font of the current calligraphy practicer, and the offset of the difference characteristic is reduced.

Preferably, the content processing module may further determine the designated exercise font content associated with the largest difference feature offset component based on the largest difference feature offset component. If the difference characteristic offset component corresponding to the stroke bending characteristic of the practicer is the largest, the content of the appointed exercise font with more bending strokes, such as 'field' word, can be selected to help the practicer to improve the specific problem. After the content processing module determines the content of the appointed exercise font, the exercise font sample can be updated by using the content of the appointed exercise font, and corresponding copybook information is generated on the electronic copybook by using the updated exercise font sample, so that a calligraphy practicer can continue to exercise copybooks on the electronic copybook by using a calligraphy practicing device such as a dot matrix pen and the like.

On the basis of the first embodiment, the intelligent auxiliary calligraphy practicing system of the embodiment determines whether to update the practice font sample according to the difference feature combination offset between the current font feature combination and the corresponding practice font feature combination, so that the updating effectiveness of the practice font of the electronic copybook is improved; meanwhile, font correction information is acquired based on the difference characteristic offset component, so that a calligraphy practicer can be effectively helped to know the writing defect of the calligraphy practicer, and the writing level is quickly improved; in addition, the individual exercise font sample of the calligraphy practicer is generated based on the difference characteristic offset component, and the copybook exercise efficiency of the calligraphy practicer is further improved.

Referring to fig. 5, fig. 5 is a flowchart illustrating a fourth embodiment of generating copybook information by the intelligent auxiliary calligraphy practicing system according to the present invention, where the method for generating copybook information in the present embodiment includes:

step S501, obtaining a font sample of a calligraphy exerciser, and extracting an initial font feature combination in the font sample of the calligraphy exerciser;

step S502, acquiring standard font characteristic combinations of a plurality of preset standard font samples, and taking the standard font characteristic combination of the standard font sample with the minimum characteristic combination offset with the initial font characteristic combination as a target font characteristic combination;

step S503, generating an exercise font characteristic combination according to the initial font characteristic combination and the target font characteristic combination; generating a corresponding exercise font sample according to the exercise font characteristic combination;

step S504, generating corresponding copybook information on the electronic copybook by using the exercise font sample;

step S505, obtaining a font sample of the current calligraphy exerciser at a set time interval, and extracting a current font feature combination in the font sample of the current calligraphy exerciser;

step S506, calculating the difference characteristic combination offset of the current font characteristic combination and the corresponding practice font characteristic combination;

step S507, if the offset of the difference characteristic combination is smaller than a preset value, the standard font characteristic combination of the standard font sample with the minimum characteristic combination offset of the current font characteristic combination is used as a target font characteristic combination; generating an exercise font characteristic combination according to the current font characteristic combination and the target font characteristic combination; updating the exercise font sample according to the exercise font characteristic combination so as to generate corresponding copybook information on the electronic copybook by using the updated exercise font sample; and if the difference characteristic combination offset is larger than or equal to the preset value, continuing to use the current exercise font sample to generate corresponding copybook information on the electronic copybook.

Steps S501 to S504 of the present embodiment are the same as or similar to steps S301 to S304 of the second embodiment of the method for generating the signature information, and refer to the detailed description of the first embodiment of the method for generating the signature information.

In step S505, the content processing module obtains a font sample of a current calligraphy exerciser of the calligraphy exerciser at a set time interval, so as to determine whether the font sample needs to be updated. And then the content processing module learns the acquired font sample of the current calligraphy exerciser to acquire the current font feature combination in the font sample of the current calligraphy exerciser.

In step S506, the content processing module calculates a difference feature combination offset between the current font feature combination in the current font sample of the learner obtained in step S505 and the practice font feature combination of the corresponding practice font sample; namely, the difference value between the font sample of the current practicer and the set practice font sample is obtained.

In step S507, if the obtained difference feature combination offset calculated in step S506 is smaller than the preset value, which indicates that the current font sample of the writer is very close to the set exercise font sample, the exercise font sample needs to be updated, so as to make the exercise font sample and the standard font sample closer to each other.

Specifically, the content processing module may use the standard font feature combination of the standard font sample with the minimum feature combination offset of the current font feature combination as the target font feature combination. Because the calligraphy practicing person may write the font to be closer to other standard font samples in the practicing process, when the font sample of the current calligraphy practicing person is updated, whether the standard font sample needs to be updated or not is considered, so as to further reduce the practicing difficulty of the calligraphy practicing person.

And then the content processing module generates an exercise font characteristic combination according to the current font characteristic combination of the font sample of the current practicer and the target font characteristic combination corresponding to the standard font sample. For example, the current font feature combination and the target font feature combination may be weighted by using the preset exercise weight to generate the exercise font feature combination.

If the calculated and obtained difference feature combination offset is greater than or equal to the preset value in step S506, it indicates that the difference between the current font sample of the calligraphy exerciser and the practice font sample is increased, and the calligraphy exerciser continues to use the current practice font sample to generate corresponding copybook information on the electronic copybook for performing the copybook practice.

And then returning to the step S505 until the characteristic difference between the current font characteristic combination of the font sample of the current calligraphy exerciser and the target font characteristic combination of the standard font sample is smaller than a certain preset specific value, namely, the calligraphy exerciser finishes the corresponding copybook exercise.

On the basis of the second embodiment, the intelligent auxiliary handwriting practicing system of the embodiment determines whether to update the font sample of the handwriting exerciser according to the offset of the difference feature combination between the current font feature combination and the corresponding font feature combination of the handwriting exerciser, and updates the font sample of the current handwriting exerciser and the standard font sample at the same time, thereby further improving the updating effectiveness of the font of the handwriting exerciser.

The following describes a specific working principle of the intelligent auxiliary calligraphy practicing system according to the present invention by a specific embodiment. Referring to fig. 6a and 6b, fig. 6a is a schematic view of an interaction environment structure of the intelligent auxiliary calligraphy practicing system of the present invention, and fig. 6b is a flowchart of a corresponding embodiment of the intelligent auxiliary calligraphy practicing system of the present invention. The intelligent auxiliary calligraphy practicing system 60 comprises a dot matrix pen 61 for writing, a multifunctional box 62 (equivalent to a content processing module) for interaction, a touch screen 63 (equivalent to a writing board and a display screen) for displaying copybook information and a background server 64 for providing functional technical services. The dot matrix pen 61 and the touch screen 63 are connected with the background server 64 through the multifunctional box 62. The signature information generating means of the present embodiment may be provided in the background server 64 and/or the multi-function box 62.

The process of generating the copybook information of the intelligent auxiliary calligraphy practicing system in the embodiment includes:

step S601, carrying out font collection of the calligrapher as a plurality of standard font samples. The plurality of standard font samples are feature-collected from the feature dimensions of font stroke features, font segment features, font structural features, font radical features, inter-word structural features, and the like, to obtain a plurality of standard font feature combinations, thereby storing the calligrapher font database in the background server 64.

Step S602, the font of the handwriting practicing user is collected by the dot matrix pen 61 to be used as the font sample of the handwriting practicing user. And performing characteristic collection on the font sample of the calligraphy exerciser from characteristic dimensions such as font stroke characteristics, font segment characteristics, font structural characteristics, font radical characteristics, inter-character structural characteristics and the like to obtain an initial font characteristic combination.

In step S603, the background server 64 or the multi-function box 62 performs font matching using the initial font feature combination and the plurality of standard font feature combinations, and finds the standard font feature combination of the standard font sample with the minimum feature combination offset as the target font feature combination.

In step S604, the multi-function box 62 performs a weighting operation on the initial font feature combination and the target font feature combination by using a preset exercise weight to generate an exercise font feature combination, and generates a corresponding exercise font sample by using the exercise font feature combination.

In step S605, the multifunctional box 62 generates corresponding copybook information on the touch screen according to the generated practice font sample. The handwriting practicing user can use the dot matrix pen 61 to perform copybook simulation exercise on the touch screen 63, and meanwhile, the writing font of the handwriting practicing user is transmitted to the multi-function box 62 for analysis in real time through the dot matrix pen 61.

In step S606, the multifunctional box 62 or the backend server 64 uses the current written font of the handwriting practicing user as the font sample of the current handwriting practicing person at a set time interval, and extracts the current font feature combination therein.

In step S607, the multi-function box 62 calculates the difference between the current font sample of the learner and the practice font sample, i.e. calculates the difference characteristic combination offset between the current font characteristic combination and the corresponding practice font characteristic combination.

In step S608, if the difference is smaller, the practice font feature combination is updated by using the target font feature combination and the current font feature combination, that is, the practice font sample is updated, so that the feature difference between the practice font feature combination and the target font feature combination of the updated practice font sample is smaller. The method can be directly updated according to a set proportion, namely the weights of the target font characteristic combination and the current font characteristic combination in the updated exercise font characteristic combination are the same; the font may also be updated by a set amount, i.e., the updated exercise font feature combination has a feature combination offset that is approximately equal to the current font feature combination.

If the difference is large, the process returns to step S606 until the calligraphy practicing user completes the corresponding copybook practice.

In step S609, the multi-function box 62 generates font correction information based on the maximum difference feature offset component of the difference feature combination offset, and feeds back the font correction information in a screen display or speaker playing manner, so as to prompt the user to improve the font of the current practicer, so as to reduce the difference feature offset. Such as generating the correction speech "longitudinal stroke features are left", "longitudinal stroke features are right", and so on.

In step S610, the multi-function box 62 generates the designated exercise font content based on the maximum difference feature offset component of the difference feature combination offset amount, and updates the exercise font sample with the designated exercise font content. If the centers of gravity of the radical structures of the calligraphy practicing users are close to each other, the user can be prompted to have a voice of increasing the distance between the left part and the right part of the font, and meanwhile, the calligraphy practicing fonts with left and right structures need to be generated to serve as the content of the designated calligraphy practicing font, so that the calligraphy practicing users can practice and improve the specific content.

Thus, the process of generating the copybook information of the intelligent auxiliary calligraphy practicing system is completed.

The lattice pen-based intelligent auxiliary calligraphy practicing system generates the exercise font characteristic combination based on the initial font characteristic combination and the target font characteristic combination, and as for the calligraphy exerciser, the exercise difficulty of the exercise font corresponding to the constantly updated exercise font characteristic combination is lower, the copybook exercise efficiency of the calligraphy exerciser is improved, and the copybook exercise time of the calligraphy exerciser is shortened; the technical problems that the efficiency of copybook practice of a calligraphy exerciser in the existing intelligent auxiliary calligraphy practicing system is low and the total practice time is long are solved effectively.

As used herein, the terms "component," "module," "system," "interface," "process," and the like are generally intended to refer to a computer-related entity: hardware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a controller and the controller can be a component. One or more components can reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.

FIG. 7 and the following discussion provide a brief, general description of an operating environment of an electronic device in which a content processing module of an intelligent assisted word-practicing system of the present invention is implemented. The operating environment of FIG. 7 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment.

Although not required, embodiments are described in the general context of "computer readable instructions" being executed by one or more electronic devices. Computer readable instructions may be distributed via computer readable media (discussed below). Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, etc. that perform particular tasks or implement particular abstract data types. Typically, the functionality of the computer readable instructions may be combined or distributed as desired in various environments.

FIG. 7 illustrates an example of an electronic device 712 that includes one or more embodiments of the content processing modules of the intelligent assisted word practice system of the invention. In one configuration, the electronic device 712 includes at least one processing unit 716 and memory 718. Depending on the exact configuration and type of electronic device, memory 718 may be volatile (such as RAM), non-volatile (such as ROM, flash memory, etc.) or some combination of the two. This configuration is illustrated in fig. 7 by dashed line 714.

In other embodiments, electronic device 712 may include additional features and/or functionality. For example, device 712 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like. Such additional storage is illustrated in fig. 7 by storage 720. In one embodiment, computer readable instructions to implement one or more embodiments provided herein may be in storage 720. Storage 720 may also store other computer readable instructions to implement an operating system, an application program, and the like. Computer readable instructions may be loaded in memory 718 for execution by processing unit 716, for example.

The term "computer readable media" as used herein includes computer storage media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data. Memory 718 and storage 720 are examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by electronic device 712. Any such computer storage media may be part of electronic device 712.

Electronic device 712 may also include communication connection(s) 726 that allow electronic device 712 to communicate with other devices. Communication connection(s) 726 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting electronic device 712 to other electronic devices. Communication connection 726 may include a wired connection or a wireless connection. Communication connection 726 may transmit and/or receive communication media.

The term "computer readable media" may include communication media. Communication media typically embodies computer readable instructions or other data in a "modulated data signal" such as a carrier wave or other transport mechanism and includes any information delivery media. The term "modulated data signal" may include signals that: one or more of the signal characteristics may be set or changed in such a manner as to encode information in the signal.

The electronic device 712 may include input device(s) 724 such as a keyboard, a mouse, a pen, a voice input device, a touch input device, an infrared camera, a video input device, and/or any other input device. Output device(s) 722 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 712. The input device 724 and the output device 722 may be connected to the electronic device 712 via a wired connection, a wireless connection, or any combination thereof. In one embodiment, an input device or an output device from another electronic device may be used as input device 724 or output device 722 for electronic device 712.

The components of electronic device 712 may be connected by various interconnects, such as a bus. Such interconnects may include Peripheral Component Interconnect (PCI), such as PCI express, Universal Serial Bus (USB), firewire (IEEE 1394), optical bus structures, and the like. In another embodiment, components of electronic device 712 may be interconnected by a network. For example, memory 718 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.

Those skilled in the art will realize that storage devices utilized to store computer readable instructions may be distributed across a network. For example, a backend server 730 accessible via network 728 may store computer readable instructions to implement one or more embodiments provided by the present invention. Electronic device 712 may access background server 730 and download a part or all of the computer readable instructions for execution. Alternatively, the electronic device 712 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at the electronic device 712 and some at the background server 730.

Various operations of embodiments are provided herein. In one embodiment, the one or more operations may constitute computer readable instructions stored on one or more computer readable media, which when executed by an electronic device, will cause the computing device to perform the operations. The order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Those skilled in the art will appreciate alternative orderings having the benefit of this description. Moreover, it should be understood that not all operations are necessarily present in each embodiment provided herein.

Also, although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The present disclosure includes all such modifications and alterations, and is limited only by the scope of the appended claims. In particular regard to the various functions performed by the above described components (e.g., elements, resources, etc.), the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated exemplary implementations of the disclosure. In addition, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for a given or particular application. Furthermore, to the extent that the terms "includes," has, "" contains, "or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term" comprising.

Each functional unit in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium. The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Each apparatus or system described above may perform the method in the corresponding method embodiment.

In summary, although the present invention has been disclosed in the foregoing embodiments, the serial numbers before the embodiments are used for convenience of description only, and the sequence of the embodiments of the present invention is not limited. Furthermore, the above embodiments are not intended to limit the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, therefore, the scope of the present invention shall be limited by the appended claims.

Claims

1. The utility model provides an intelligence is supplementary system of practising handwriting based on dot matrix pen which characterized in that includes:

the writing board is used for writing practice of a calligraphy exerciser;

the dot matrix pen and the display screen are respectively in wireless connection with the content processing module;

wherein the content processing module comprises

The processing chip is used for converting the writing content into a font sample of a calligraphy practicer and generating a corresponding exercise font sample according to the font sample of the calligraphy practicer and a preset standard font sample;

the memory is used for storing the preset standard font sample and a corresponding computer program;

the communication module is used for carrying out wireless communication between the dot matrix pen and the display screen;

the step that the processing chip generates a corresponding exercise font sample according to the font sample of the calligraphy practicer and at least one preset standard font sample comprises the following steps:

obtaining a font sample of a calligraphy practicer, and extracting an initial font feature combination in the font sample of the calligraphy practicer;

acquiring standard font feature combinations of a plurality of preset standard font samples, and taking the standard font feature combination of the standard font sample with the minimum feature combination offset with the initial font feature combination as a target font feature combination;

and performing weighting operation on the initial font characteristic combination and the target font characteristic combination by using a preset exercise weight ratio to generate an exercise font characteristic combination so as to generate a calligraphy practice font sample which is closer to both the calligraphy practice person font sample and the standard font sample.

2. The intelligent auxiliary handwriting practicing system based on the dot matrix pen as claimed in claim 1, wherein the display screen is integrated with the writing board.

3. The lattice pen-based intelligent auxiliary calligraphy practicing system of claim 1, further comprising a background server for performing data updating operation on the content processing module.

4. The lattice pen-based intelligent auxiliary calligraphy practicing system according to claim 1, wherein the content processing module further comprises a sound box for voice prompt.

5. The lattice pen-based intelligent auxiliary handwriting practicing system according to claim 1, wherein said step of extracting an initial font feature combination in the handwriting sample of the handwriting practicer comprises:

extracting at least one of font stroke characteristics, font segment characteristics, font structural characteristics, font radical characteristics and inter-character structural characteristics in the font sample of the practicer as an initial font characteristic combination in the font sample of the practicer;

the font stroke characteristics comprise at least one of stroke length characteristics, stroke width characteristics, stroke strength characteristics, horizontal and vertical stroke strength difference characteristics, stroke jitter characteristics, stroke bending characteristics and stroke disturbance characteristics;

the font segment characteristics comprise at least one of transverse segment characteristics, longitudinal segment characteristics and transverse and longitudinal segment difference characteristics;

the font structural feature comprises at least one of a font gradient feature, a font gravity center feature, a font external structural feature and a font internal structural feature;

the font radical feature comprises at least one of a radical structural feature and a radical center-of-gravity feature;

the inter-word structural feature includes at least one of an adjacent font size feature and an adjacent font slant feature.

6. The lattice pen-based intelligent auxiliary calligraphy practicing system according to claim 1, wherein the processing chip is further used for

Acquiring a font sample of a current calligraphy exerciser at a set time interval, and extracting a current font feature combination in the font sample of the current calligraphy exerciser;

calculating the difference characteristic combination offset of the current font characteristic combination and the corresponding exercise font characteristic combination;

if the offset of the difference characteristic combination is smaller than a preset value, generating an exercise font characteristic combination according to the current font characteristic combination and the target font characteristic combination; updating the exercise font sample according to the exercise font characteristic combination;

and if the difference characteristic combination offset is larger than or equal to a preset value, continuing to use the current exercise word sample to generate corresponding copybook information on the display screen.

7. The lattice pen-based intelligent auxiliary calligraphy practicing system according to claim 6, wherein the processing chip is further used for

Obtaining a plurality of difference feature offset components of the difference feature combination offset;

determining font correction information based on the maximum difference characteristic offset component, and performing feedback operation by using the font correction information; and the font correction information is used for prompting a user to improve the font of the current practicer through a sound box so as to reduce the offset of the difference characteristic.