KR20230173850A - Control method of server for providing test to classify about tendency to draw - Google Patents

Abstract

The present invention includes the steps of a server acquiring an image for a test from a user terminal, a step of the server identifying an object included in the test image, and the server classifying the drawing tendency of the user of the user terminal based on the object. It relates to a control method of a server that provides a test for classifying drawing tendencies, including the step of:

Description

Control method of a server that provides a test for classifying drawing tendencies {CONTROL METHOD OF SERVER FOR PROVIDING TEST TO CLASSIFY ABOUT TENDENCY TO DRAW}

The present invention relates to a control method of a server that provides a test for classifying drawing tendencies. Specifically, the present invention relates to a method of controlling a server that provides a test for classifying drawing tendencies, and more specifically, to classify a child's drawing tendencies based on a picture of an apple drawn by a child, thereby providing systematic art education according to the drawing tendencies. This is a supported technology.

Typically, in order to improve art skills, individuals receive consistent, step-by-step art education, but as the importance of effective art education that identifies individual characteristics is increasingly emphasized, efforts are needed to analyze an individual's drawing tendencies.

Regarding conventional techniques for classifying paintings, they only perform medical procedures to examine psychological conditions based on paintings, and no technique has emerged to systematically analyze the tendency to draw to provide art education.

In addition, since there are no specific indicators to classify drawing tendencies, it is impossible to classify a clear type, and therefore only standardized education according to the age of art learning has been implemented.

As a result, there has been a lack of personalized education based on drawing tendencies, and there has been a problem of education that suppresses the growth rate and growth potential of learners with outstanding artistic ability.

Therefore, there is a need for a method to increase efficiency by analyzing an individual's tendency to draw and providing appropriate customized art education based on this.

Meanwhile, the matters described as background technology above are only for the purpose of improving understanding of the background of the present invention, and should not be taken as recognition that they correspond to prior art already known to those skilled in the art. will be.

Public Patent Publication No. 10-1772987, 2019.03.04.

The problem to be solved by the present invention is to distinguish and classify six specific drawing expression tendencies: objective form power, subjective form power, objective coloring power, subjective coloring power, objective directing power, and subjective directing power, using a limited number of materials (ex. It provides a server control method that provides a test to classify drawing tendencies by analyzing apple drawings drawn based on (4 types of materials) and providing a questionnaire for in-depth analysis.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

A control method of a server that provides a test for classifying drawing tendencies according to one aspect of the present invention to solve the above-described problem includes the steps of the server acquiring an image for testing from a user terminal, and the server providing an image for testing. It includes a step of identifying included objects, and a step of the server classifying the drawing tendency of the user of the user terminal based on the objects.

At this time, the drawing tendency includes at least one of objective form power, subjective form power, objective coloring power, subjective coloring power, objective directing power, and subjective directing power.

Accordingly, in the step of acquiring the test image, the test image may be acquired through the camera of the user terminal, or an image previously stored in the user terminal may be acquired as the test image.

In addition, the step of classifying the drawing tendency of the user of the user terminal based on the object includes obtaining personal information including the name and age of the user of the user terminal through the user terminal, and classifying the personal information. It may include a step of matching and storing the drawing tendency.

Meanwhile, the step of classifying the drawing tendency of the user of the user terminal based on the object includes obtaining survey data by providing a UI (User Interface) for acquiring survey data through the user terminal, and the identified object. and a step of classifying the drawing tendency of the user of the user terminal based on the survey data. Accordingly, the step of acquiring the survey data includes separating the object from the test image when the object is an apple, Providing an object to a user terminal, obtaining first survey data about whether another object is included in the separated object, and obtaining a positive word as first survey data from the user terminal, the separated object It includes a step of acquiring second survey data about whether a detailed description of Obtaining 1-1 survey data about whether the top of the apple is depicted as the inside of the apple, and when a positive word is obtained from the user terminal as the 1-1 survey data, a question about whether the object is depicted realistically It includes the step of acquiring 1-2 survey data. On the other hand, the step of acquiring the 1-1 survey data includes, when a negative word is obtained from the user terminal as the 1-1 survey data, the object is colored in a color related to an apple. It may include the step of obtaining 1-1-1 survey data on whether or not it is colored.

Accordingly, in the step of classifying the drawing tendency of the user of the user terminal based on the identified object and survey data, if the second survey data is a positive word, the drawing tendency is classified by objective presentation ability, and if the second survey data is a negative word, In this case, the drawing tendency is classified by subjective presentation ability, if the 1-2 survey data is a positive word, the drawing tendency is classified by objective form power, and if the 1-2 survey data is a negative word, the drawing tendency is classified by subjective form power. And, if the 1-1-1 survey data is a positive word, the drawing tendency can be classified by objective coloring ability, and if the 1-1-1 survey data is a negative word, the drawing tendency can be classified by subjective coloring ability.

Additionally, the step of acquiring an image for testing includes providing a UI (User Interface) for a preset number of tools for drawing through a user terminal, and user input for the UI acquired through the user terminal. It may include the step of generating a test image created based on .

Additionally, the control method of the server includes the steps of the server calculating statistics for each drawing tendency according to age, the server generating a drawing tendency ranking by age in order of the largest value according to the statistics, and the server generating age-specific drawing tendency rankings. Obtaining at least one drawing tendency whose rank is less than a threshold, the server identifying a learning type already registered for the drawing tendency less than the threshold, based on the age included in the personal information, and the server identifying and providing a learning type to the user terminal. At this time, the learning type may include any one of three-dimensional work, two-dimensional work, sketching, coloring, and simulation.

Accordingly, the step of matching and storing the personal information with the classified drawing tendency is, if the drawing tendency matched to the personal information belongs to a rank below the threshold for the age included in the personal information, the drawing tendency matched to the personal information A step of identifying an age that ranks above this threshold, and if the identified age is higher than the age included in the personal information, providing a learning type for the identified age to the user terminal, while matching the personal information. The step of identifying an age whose drawing tendency is ranked above the threshold is, if the identified age is lower than the age included in the personal information, a learning type according to the drawing tendency included in the personal information among the learning types for the identified age. It may include providing learning types other than to the user terminal.

Other specific details of the invention are included in the detailed description and drawings.

According to the control method of the server that provides a test for classifying drawing tendencies of the present invention, personal drawing tendency analysis for conducting personalized classes in a general standardized art class method is performed by registering drawings through an application and conducting a survey. It can be performed simply by simply doing so, and in particular, the classified drawing tendency can be saved along with the name, age, and drawing to recheck and compare with the current status.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a server configuration diagram according to an embodiment of the present disclosure.
2 and 3 are system configuration diagrams according to an embodiment of the present disclosure.
Figure 4 is a configuration diagram of a user terminal according to an embodiment of the present disclosure.
5 is a basic flowchart according to an embodiment of the present disclosure.
6 to 16 are implementation diagrams according to an embodiment of the present disclosure.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.

As used in the specification, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and the “unit” or “module” performs certain roles. However, “part” or “module” is not limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium and may be configured to run on one or more processors. Thus, as an example, a “part” or “module” refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” or “modules” can be combined into smaller components and “parts” or “modules” or into additional components and “parts” or “modules”. Could be further separated.

Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings. For example, if you flip a component shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

In this specification, a computer refers to all types of hardware devices including at least one processor, and depending on the embodiment, it may be understood as encompassing software configurations that operate on the hardware device. For example, a computer can be understood to include, but is not limited to, a smartphone, tablet PC, desktop, laptop, and user clients and applications running on each device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

1 is a server configuration diagram according to an embodiment of the present disclosure.

As shown, the server 100 includes a memory 110, a communication unit 120 that communicates with at least one terminal, and a processor 130 connected to the memory 110 and the communication unit 120.

Meanwhile, the memory 110 can store various programs and data necessary for the operation of the server 100. The memory 110 may be implemented as a non-volatile memory 110, a volatile memory 110, a flash-memory 110, a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit 120 can communicate with an external device. In particular, the communication unit 120 may include various communication chips such as a Wi-Fi chip, a Bluetooth chip, a wireless communication chip, an NFC chip, and a low-energy Bluetooth chip (BLE chip). At this time, the Wi-Fi chip, Bluetooth chip, and NFC chip communicate in the LAN method, WiFi method, Bluetooth method, and NFC method, respectively. When using a Wi-Fi chip or Bluetooth chip, various connection information such as SSID and session key are first transmitted and received, and various information can be transmitted and received after establishing a communication connection using this. A wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, ZigBee, 3G (3rd Generation), 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), and 5G (5th Generation).

The processor 130 can control the overall operation of the server 100 using various programs stored in the memory 110. The processor 130 may be comprised of RAM, ROM, a graphics processing unit, a main CPU, first to n interfaces, and a bus. At this time, RAM, ROM, graphics processing unit, main CPU, first to n interfaces, etc. may be connected to each other through a bus.

RAM stores O/S and application programs. Specifically, when the server 100 is booted, the O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

ROM stores a set of instructions for booting the system. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 110 to RAM according to the command stored in the ROM, executes the O/S, and boots the system. When booting is complete, the main CPU copies various application programs stored in the memory 110 to RAM and executes the application programs copied to RAM to perform various operations.

The graphics processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen containing various objects such as items, images, and text. Here, the calculation unit may be configured to calculate attribute values such as coordinate values, shape, size, color, etc. for each object to be displayed according to the layout of the screen using a control command received from the input unit. Additionally, the rendering unit may be configured to generate screens of various layouts including objects based on attribute values calculated by the calculation unit. The screen generated by this rendering unit may be displayed within the display area of the display module 240.

The main CPU accesses the memory 110 and performs booting using the OS stored in the memory 110. And, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory 110.

The first to n interfaces are connected to the various components described above. One of the first to n interfaces may be a network interface connected to an external device through a network.

Meanwhile, the processor 130 may include one or more cores (not shown) and a graphics processing unit (not shown) and/or a connection path (e.g., bus, etc.) for transmitting and receiving signals with other components. You can.

Processor 130 according to one embodiment performs the method described in connection with the present invention by executing one or more instructions stored in memory 110.

For example, the processor 130 acquires new training data by executing one or more instructions stored in the memory 110, performs a test on the acquired new training data using a learned model, and performs the test. As a result, first learning data in which labeled information is obtained with an accuracy greater than a predetermined first reference value is extracted, the extracted first learning data is deleted from the new learning data, and the new learning data from which the extracted learning data is deleted is extracted. The learned model can be retrained using training data.

Meanwhile, the processor 130 includes random access memory (RAM) (not shown) and read-only memory (ROM) that temporarily and/or permanently store signals (or data) processed within the processor 130. , not shown) may be further included. Additionally, the processor 130 may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

The memory 110 may store programs (one or more instructions) for processing and control of the processor 130. Programs stored in the memory 110 may be divided into a plurality of modules according to their functions.

Figures 2 and 3 are system configuration diagrams according to an embodiment of the present disclosure, and Figure 4 is a user terminal configuration diagram according to an embodiment of the present disclosure.

As shown in FIGS. 2 and 3, the server 100 can communicate with the user terminal 200 through the communication unit 120, and at this time, the user terminal 200 displays a test image (drawing tendency 30). It is a user's electronic device for transmitting an image subject to classification (a picture of an apple) to the server 100.

In one embodiment, the electronic device includes a smartphone, a tablet personal computer, a mobile phone, a video phone, a laptop PC, a netbook computer, and a laptop computer ( It may include at least one of a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), and a wearable device.

As shown in FIG. 4, the user terminal 200 includes a memory 210, a communication unit 220 for communicating with the server 100, a camera module 230 for acquiring images for testing, and an image for acquiring test images. Alternatively, a display module 240 for outputting a test image acquired through the camera module 230 and a UI (User Interface) provided through an application, memory 210, communication unit 220, and camera It includes a module 230 and a processor 250 connected to the display module 240.

At this time, the camera module 230 is configured to photograph at least one subject, and the processor 250 can identify at least one object through the camera module 230.

Meanwhile, the display module 240 is configured to visually output various information.

The display module 240 may be implemented as a Liquid Crystal Display (LCD), Plasma Display Panel (PDP), Organic Light Emitting Diodes (OLED), Transparent OLED (TOLED), Micro LED, etc., but is not limited thereto. It may include various types of displays known in the art.

The display module 240 may be implemented in the form of a touch screen capable of detecting a user's touch operation, or may be implemented as a flexible display that can be folded or bent.

The processor 250 may control the overall operation of the user terminal 200.

5 is a basic flowchart according to an embodiment of the present disclosure.

As shown, in the control method of the server 100 that provides a test for classifying the drawing tendency 30 of the present invention, the server 100 obtains an image for testing from the user terminal 200 (S510) Then, the object 1 included in the test image is identified (S520), and the drawing tendency 30 of the user terminal 200 for the user is classified based on the object 1 (S530).

At this time, object 1 is a picture of an apple drawn by the person who created the image for testing.

The drawing tendency (30) is classified into objective form power, subjective form power, objective coloring power, subjective coloring power, objective directing power, and subjective directing power, and a user's drawing tendency (30) is one of the six tendencies described above. Categorized by tendency.

6 to 16 are implementation diagrams according to an embodiment of the present disclosure.

As shown in FIG. 6, when the server 100 performs step S210, the server 100 acquires an image for testing through the camera of the user terminal 200, or acquires an image for testing through the camera of the user terminal 200. The saved image can be obtained as a test image.

In an embodiment, when the server 100 performs step S220, as shown in FIG. 7, the server 100 identifies an area in the test image that includes the object 1 but has a minimum horizontal length, and , an image of the identified area can be provided to the user terminal 200.

As shown in FIG. 7, when the server 100 performs step S230, the server 100 collects personal information including the name and age of the user of the user terminal 200 through the user terminal 200. obtain.

Thereafter, as shown in FIGS. 8 and 9, the server 100 analyzes the image of the identified area and matches the drawing tendency 30 classified based on the identified object 1 to personal information. You can save it.

At this time, the server 100 may provide the minimum area including the object 1 to the user terminal 200.

In an embodiment, when the server 100 performs step S520 and a plurality of objects are obtained, the server 100 determines that the drawing tendency for the object 1 is one of subjective rendering ability and objective rendering ability.

At this time, when the server 100 performs step S530, the server 100 selects a first object for a tree, a second object for a leaf, a third object for a shadow, and a third object for another fruit among the identified objects. It is determined whether at least one of the four objects exists, and if at least one of the first to fourth objects is identified, the server 100 classifies the presentation power for the object 1 as objective, and the first to fourth objects are classified as objective. 4 Once the object is identified, the presentation ability for the object (1) is classified as subjective.

In an embodiment, when the server 100 performs step S520, when a single object is obtained, the server 100 determines the drawing tendency for the object 1 by subjective form power, objective form power, subjective coloring power, and objective It is judged to be one of the coloring powers.

At this time, when the server 100 performs step S530, the server 100 identifies whether a first area for the apple top exists for the object 1, and if the first area exists, the object ( If the second area is identified for the outline of 1), and the second area and the first area are separated so that the first area is divided into a plurality, the server 100 determines the drawing tendency for the object 1 according to the subjective form power. , and objective form power.

The server 100 calculates the ratio of the area occupied by the identified second area to the object 1, and when the calculated ratio exceeds the threshold, the shape force for the object 1 is classified as subjective, but the calculated If the ratio is less than the threshold, the shape force for the object 1 can be classified as objective.

On the other hand, if the first area does not exist, or the first area exists as a single area by separating the second area and the first area, the drawing tendency for the object 1 is determined by either subjective coloring power or objective coloring power. It is judged to be one.

In this case, the server 100 identifies at least one color included in the object 1, and the identified color corresponds to a plurality of colors (ex. red, green, yellow, white, black, etc.) preset for the apple. If included, the coloring power for the object 1 is classified as objective, but if at least one of the identified colors is not included in the plurality of preset colors, the coloring power for the object 1 is classified as subjective.

Meanwhile, when the server 100 performs step S530, as shown in FIG. 10, the server 100 provides a UI for obtaining survey data through the user terminal 200, obtains survey data, and , Based on the survey data, an in-depth analysis of the object 1 can be performed to classify the drawing tendency 30 of the user of the user terminal 200.

Specifically, when the server 100 acquires survey data, when the object 1 is an apple, the server 100 separates the minimum area containing the object 1 from the test image, and separates the separated object ( 1) is provided to the user terminal 200, and a query is asked on the first survey 10 to obtain first survey data on whether other objects are included in the separated object 1 (FIG. 11). It is provided to the user terminal 200.

When positive words are obtained as first survey data from the user terminal 200, the server 100 obtains second survey data on whether a detailed description of the separated object 1 is included (FIG. 12) In order to provide a query for the second survey 20 to the user terminal 200, but when a negative word is obtained from the user terminal 200 as the first survey data, whether the top of the apple is depicted inside the apple in the object 1 In order to obtain 1-1 survey data (FIG. 13), a query regarding the 1-1 survey 11 is provided to the user terminal 200.

When positive words are obtained as 1-1 survey data from the user terminal 200, the server 100 obtains 1-2 survey data regarding whether the object 1 is depicted realistically (FIG. 14) In order to provide a query for the 1-2 survey 12 to the user terminal 200, but when a negative word is obtained from the user terminal 200 as the 1-1 survey data, the object 1 is a color related to an apple. In order to obtain 1-1-1 survey data (FIG. 15) on whether the user is colored with , a query regarding the 1-1-1 survey (11-1) is provided to the user terminal 200.

Accordingly, when the server 100 classifies the drawing tendency 30 of the user of the user terminal 200 based on the identified object 1 and the survey data, the server 100 determines that the second survey data is positive. If yes, the drawing tendency (30) is classified by the objective directing ability (c1), and if the second survey data is a negative word, the drawing tendency (30) is classified by the subjective directing ability (c2), and the first-second survey data is a positive word. If so, the drawing tendency (30) is classified by objective form power (a1), and if the 1-2 survey data is a negative word, the drawing tendency (30) is classified by subjective form power (a2), and 1-1-1 If the survey data is a positive word, the drawing tendency (30) is classified by the objective coloring ability (b1), and if the 1-1-1 survey data is a negative word, the drawing tendency (30) is classified by the subjective coloring ability (b2). You can.

Specifically, as in object 1 shown in FIGS. 10 to 16, when object 1 and other objects (shadows, leaves, gloss, etc.) are drawn together, the server 100 determines whether the user's drawing tendency determines presentation ability. It is judged to be included, but if the other object is a detailed expression related to the object (1), the user's drawing tendency is judged to be objective, and the objective rendering ability can be classified as the user's drawing tendency.

On the other hand, if the other object is a rendering unrelated to the object 1 (a fruit other than an apple, a human face, a rainbow, a heart, etc.), the server 100 determines that the user's drawing tendency is subjective, and the subjective rendering ability is It can be classified as the user's drawing tendency.

If only the object (1) exists in the test image, but the top of the apple is depicted inside the object (1), the server 100 determines that the user's drawing tendency includes shape power, but the apple's texture expression, When the shading of the surface of an apple is depicted, the user's drawing tendency is judged to be objective, and the objective shape power can be classified as the user's drawing tendency.

On the other hand, if the outline forming the object (1) is expressed in boldness beyond the critical thickness, or if the apple shape of the object (1) is expressed like a symbol (ex. Apple's mark, etc.), the user's drawing tendency is considered to be subjective. Judging by this, subjective form power can be classified as the user's drawing tendency.

If only the object (1) exists in the test image, but the top of the apple does not exist or is depicted outside the object (1), the server 100 determines that the user's drawing tendency does not include form and presentation, and , judgment on coloring power can be made.

At this time, if the object 1 includes at least one apple-related color (ex. red, green, yellow, white, etc.), the server 100 classifies the objective coloring power as the user's drawing tendency; , if not included, subjective coloring ability can be classified as the user's drawing tendency.

Meanwhile, when the server 100 performs step S510, the server 100 provides a UI for a preset number (ex. 4) of tools for drawing through the user terminal 200. Thus, a test image generated based on user input for the UI obtained through the user terminal 200 can be generated.

For example, the tool may include at least one of colored pencils, brushes, crayons, pencils, pastels, oil pastels, fountain pens, highlighters, marker pens, and ballpoint pens.

Additionally, in the control method of the server 100 that provides a test for classifying drawing tendencies of the present invention, the server 100 can calculate statistics for each drawing tendency according to age.

Accordingly, the server 100 generates a drawing tendency ranking by age in the order of the largest value according to statistics, obtains at least one drawing tendency whose rank is less than the threshold for each age, and based on the age included in the personal information, A pre-registered learning type may be identified for a drawing tendency less than a threshold, and accordingly, the identified learning type may be provided to the user terminal 200 .

Learning types are classified into three-dimensional work, two-dimensional work, sketching, coloring, imitation, etc., and the learning type already registered for the tendency to draw can include at least one of the above-mentioned types, for example, objective directing ability. Users with a drawing tendency are taught three-dimensional work and two-dimensional work to increase their level of form power, and users with a subjective form power are taught three-dimensional work, two-dimensional work, and sketching. By learning about it, you can have an objective perspective.

Accordingly, when the server 100 stores personal information by matching it with the classified drawing tendency 30, the server 100 stores the drawing tendency 30 matched to the personal information based on the age included in the personal information. If the ranking is below the threshold, the drawing tendency 30 matched to the personal information identifies the age ranking above the threshold.

If the identified age is higher than the age included in the personal information, the server 100 provides a learning type for the identified age to the user terminal 200 to perform learning at a higher level than the user's age. If the identified age is lower than the age included in the personal information, among at least one learning type for the identified age, all learning types except the learning type according to the drawing tendency 30 included in the personal information are performed on the user terminal (200) ), so that learning can be performed to match the overall drawing level to the user's age.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

Additionally, different embodiments of the present invention may complement or be combined with each other.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , it can be implemented in a programming or scripting language such as Java, assembler, Python, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

1: object
10: Contents of the first survey
11: Question 1-1 Contents
11-1: Contents of survey 1-1-1
12: Contents of survey 1-2
30: Drawing tendency
100: Server
110: memory
120: Department of Communications
130: processor
200: user terminal
210: memory
220: Department of Communications
230: Camera module
240: display module
250: processor

Claims (8)

In the control method of a server that provides a test for classifying drawing tendencies,
Obtaining, by the server, an image for testing from a user terminal;
identifying, by the server, an object included in the test image; and
Including, by the server, classifying the drawing tendency of the user of the user terminal based on the object,
The drawing tendency is,
A method of controlling a server, characterized in that it includes at least one of objective form power, subjective form power, objective coloring power, subjective coloring power, objective rendering power, and subjective rendering power. According to claim 1,
The step of acquiring the test image is,
A method of controlling a server, characterized in that an image for testing is acquired through a camera of the user terminal, or an image previously stored in the user terminal is acquired as an image for testing. According to claim 1,
The step of classifying the drawing tendency of the user of the user terminal based on the object is,
Obtaining personal information including the name and age of the user of the user terminal through the user terminal; and
A control method of a server comprising: matching and storing the personal information with the classified drawing tendency. According to claim 1,
The step of classifying the drawing tendency of the user of the user terminal based on the object is,
Obtaining survey data by providing a UI (User Interface) for acquiring survey data through the user terminal; and
Comprising: classifying the drawing tendency of the user of the user terminal based on the identified object and the survey data,
The step of obtaining the survey data is,
If the object is an apple, separating the object from the test image and providing the separated object to the user terminal;
Obtaining first survey data on whether other objects are included in the separated object; and
When a positive word is obtained from the user terminal as first survey data, obtaining second survey data on whether a detailed description of the separated object is included,
The step of acquiring the first survey data is,
When a negative word is obtained as first survey data from the user terminal, obtaining 1-1 survey data on whether the top of the apple is depicted as inside the apple in the object; and
When a positive word is obtained as 1-1 survey data from the user terminal, obtaining 1-2 survey data regarding whether the object is depicted realistically, comprising:
The step of acquiring the 1-1 survey data is,
When a negative word is obtained as 1-1 survey data from the user terminal, obtaining 1-1-1 survey data on whether the object is colored in a color related to an apple; controlling the server, including; method. According to clause 4,
The step of classifying the drawing tendency of the user of the user terminal based on the identified object and the survey data,
If the second survey data is a positive word, the drawing tendency is classified by objective directing ability,
If the second survey data is a negative word, the drawing tendency is classified based on subjective directing ability,
If the 1-2 survey data is a positive word, the drawing tendency is classified by objective form power,
If the 1-2 survey data is a negative word, the drawing tendency is classified by subjective form power,
If the 1-1-1 survey data is a positive word, the drawing tendency is classified by objective coloring ability,
If the 1-1-1 survey data is a negative word, the control method of the server classifies the drawing tendency based on subjective coloring ability. According to claim 1,
The step of acquiring the test image is,
Providing a UI (User Interface) for a preset number of tools for drawing through the user terminal; and
A control method of a server comprising; generating a test image generated based on a user input for a UI obtained through the user terminal. According to clause 3,
The control method of the server is,
Calculating, by the server, statistics by drawing tendency according to age;
generating, by the server, a drawing propensity ranking by age in descending order of value according to the statistics;
acquiring, by the server, at least one drawing tendency whose rank is less than a threshold for each age;
identifying, by the server, a pre-registered learning type for a drawing tendency less than the threshold, based on the age included in the personal information; and
Including, by the server, providing the identified learning type to the user terminal,
The above learning type is,
A server control method comprising at least one of three-dimensional work, two-dimensional work, sketching, coloring, and simulation. According to clause 7,
The step of matching and storing the personal information with the classified drawing tendency is,
If the drawing tendency matched to the personal information belongs to a rank below a threshold for the age included in the personal information, identifying an age in which the drawing tendency matched to the personal information falls to a rank above the threshold; and
If the identified age is higher than the age included in the personal information, providing a learning type for the identified age to the user terminal,
The step of identifying the age in which the drawing tendency matched to the personal information ranks above the threshold is,
If the identified age is lower than the age included in the personal information, providing learning types for the identified age, excluding the learning type according to the drawing tendency included in the personal information, to the user terminal. Server control method, including ;.