KR20210016911A - Method for eye state inspection and computing device for executing the method - Google Patents

Abstract

Disclosed are an eyeball state inspection method and a computing apparatus for performing the same. An eyeball state inspection method and a computing apparatus for performing the same according to an embodiment of the present invention are provided wherein the computing apparatus includes: one or more processors; and a memory storing one or more programs executed by the one or more processors. The computing apparatus comprises: a content providing module for generating content which includes a view inducer for inducing movement of a user′s view on the screen of the smart device; a communication module for transmitting the content to the smart device and acquiring a captured image of the user who views the content from the smart device; a view recognition module for generating view information of the user based on the captured image; and an eyeball state analysis module configured to generate eyeball state analysis information of the user by analyzing the user′s eyeball state based on the view information and the information on the movement of the view inducer. The present invention enables the smart device to perform the inspection without separate equipment such that costs can be saved and convenience can be enhanced.

Description

Eye condition test method and computing device for performing the same TECHNICAL FIELD [METHOD FOR EYE STATE INSPECTION AND COMPUTING DEVICE FOR EXECUTING THE METHOD]

Embodiments of the present invention relate to eye condition test technology.

The brain, which controls central functions in the human body, is connected to all parts of the human body by the central and peripheral nervous systems. Accordingly, in the medical field, the health status of the brain that is difficult to be easily examined by capturing the movement of the eyeball of the subject is diagnosed or the health status of the balance organ is diagnosed.

The eye movement test is a non-invasive test that evaluates brain function, and is a particularly useful method for detecting brain abnormalities associated with dementia.

In general, EOG (Electrooculogram), VOG (Videooculogram), and MSCT (Magnetic Search Coil Technique) are used as methods to capture eye movements and analyze them at a useful level.

However, in order to use this method, a separate device is required, and there is a problem in that only a function to check the state of the eye is provided.

Republic of Korea Patent Publication No. 10-0627929 (2006.09.18.)

Embodiments of the present invention are intended to provide a means for anyone to easily inspect an eye condition without special equipment.

According to an exemplary embodiment of the present invention, as a computing device having one or more processors, and a memory for storing one or more programs executed by the one or more processors, inducing movement of a user's gaze on a screen of a smart device A content providing module for generating content including a gaze-derived for the purpose; A communication module that transmits the content to the smart device and obtains a photographed image of the user viewing the content from the smart device; A gaze recognition module that generates gaze information of the user based on the captured image; And an eyeball state analysis module for generating the user's eyeball state analysis information by analyzing the eyeball state of the user based on the gaze information and movement information of the gaze derivative.

The eyeball condition analysis module calculates a match rate by comparing the coordinate value of the eyeball included in the gaze information with the coordinate value of the gaze derivative included in the movement information, and analyzes the eyeball condition of the user based on the calculated match rate. Can be created.

The communication module acquires user information including the age of the user from the smart device, and the content providing module compares the average age of the previously stored users based on the user information, and the moving speed of the gaze derivative in the content , Frequency of appearance, and interval of appearance can be adjusted.

The content providing module generates first content such that the gaze guide displayed on the screen includes first movement information having a continuous shape, and the first content includes an average age of pre-stored users based on the user information. In comparison, when the user is older than the average age, the movement speed of the gaze derivative is reduced by a preset speed, and when the user is less than the average age, the movement speed of the gaze derivative is increased by a preset speed. Can be.

The content providing module generates second content such that the gaze guide displayed on the screen includes second movement information having a discontinuous form, and the second content includes an average age of pre-stored users based on the user information. In comparison, when the corresponding user is greater than the average age, the frequency of appearance of the gaze derivative may be reduced by a preset number, and the appearance interval of the gaze derivative may be provided to increase by a preset time.

The content providing module generates third content to include first movement information in which the gaze guide displayed on the screen has a continuous shape and second movement information in which the gaze guide displayed on the screen has a discontinuous shape, The third content is compared with the average age of pre-stored users based on the user information, and if the user is greater than the average age, the moving speed of the gaze derivative is reduced by a preset speed, and the frequency of appearance of the gaze derivative Is reduced by a preset number of times, and the interval of appearance of the gaze derivative may be provided to increase by a preset time.

According to another exemplary embodiment of the present invention, a method performed in a computing device having one or more processors and a memory for storing one or more programs executed by the one or more processors, wherein a user's gaze moves on a screen Transmitting content including a gaze derivative for inducing to a smart device; Obtaining a photographed image of the user viewing the content from the smart device; Generating gaze information of the user based on the captured image; Analyzing the eyeball state of the user based on the gaze information and movement information of the gaze derivative to generate the eyeball state analysis information of the user; And providing the user's eye condition analysis information to the smart device, wherein the generating the eye condition analysis information comprises: a coordinate value of the eyeball included in the gaze information and a gaze derivative included in the movement information Comparing the coordinate values of and calculating a match rate; And generating the user's eye condition analysis information based on the calculated match rate.

According to embodiments of the present invention, by inspecting the eye condition through gaze recognition using a front camera in the smart device, it is possible to perform the test with a smart device without additional equipment, and reduce cost and increase convenience.

In addition, according to embodiments of the present invention, by examining the eye condition through a smart device, providing analyzed information, and providing related content according to the analyzed information, it is possible to maintain a healthy eye condition.

1 is a configuration diagram for explaining an eye condition inspection system according to an embodiment of the present invention
Figure 2 is a configuration diagram for explaining a smart device of the eye condition inspection system according to an embodiment of the present invention
3 is a configuration diagram for explaining a management server of the eye condition inspection system according to an embodiment of the present invention
4 is a view for explaining content displayed by a smart device of the eye condition inspection system according to an embodiment of the present invention
5 is a view for explaining another content displayed by a smart device of the eye condition inspection system according to an embodiment of the present invention
6 is a flow chart for explaining a method for testing an eye condition using an eye condition inspection system according to an embodiment of the present invention
7 is a block diagram illustrating and describing a computing environment including a computing device suitable for use in example embodiments.

Hereinafter, a specific embodiment of the present invention will be described with reference to the drawings. The following detailed description is provided to aid in a comprehensive understanding of the methods, devices, and/or systems described herein. However, this is only an example and the present invention is not limited thereto.

In describing the embodiments of the present invention, when it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification. The terms used in the detailed description are only for describing embodiments of the present invention, and should not be limiting. Unless explicitly used otherwise, expressions in the singular form include the meaning of the plural form. In this description, expressions such as "comprising" or "feature" are intended to refer to certain features, numbers, steps, actions, elements, some or combination thereof, and one or more other than those described. It should not be construed to exclude the presence or possibility of other features, numbers, steps, actions, elements, any part or combination thereof.

1 is a configuration diagram for explaining an eye condition inspection system according to an embodiment of the present invention, Figure 2 is a configuration diagram for explaining a smart device of the eye condition inspection system according to an embodiment of the present invention, 3 is a configuration diagram illustrating a management server of an eye condition inspection system according to an embodiment of the present invention.

As shown in FIGS. 1 to 3, the eye condition inspection system according to an embodiment of the present invention may include a smart device 100 and a management server 300.

The smart device 100 and the management server 300 are communicatively connected through the communication network 200.

In some embodiments, the communication network 200 may include the Internet, one or more local area networks, wire area networks, cellular networks, mobile networks, other types of networks, or other types of networks. Combinations can be included.

The smart device 100 is a smart phone or a tablet PC capable of using wireless communication, and the smart device 100 may include a photographing unit 110, a communication unit 120, and a display unit 130.

The photographing unit 110 may photograph a user's face. The photographing unit 110 may be integrally formed in a terminal such as a smart device 100. Specifically, the photographing unit 110 is integrally formed in a terminal such as the smart device 100 to take a user's face. In addition, the photographing unit 110 may capture an image for recognizing a user's gaze. The photographing unit 110 may provide the captured image to the management server 300 through the transmission unit 120. In this case, the captured image may be corrected through image correction and then provided to the management server 300.

The communication unit 120 may transmit the captured image to the management server 300 through the network 200. In addition, the communication unit 120 may receive content including a gaze derivative implemented to have a motion on the screen from the management server 300. The communication unit 120 may receive the user's eye condition analysis information analyzed based on the gaze information from the management server 300.

The display unit 130 may display content including a gaze derivative having movement on a screen. The display unit 130 may output content through the screen of the smart device 100. The content may induce movement of a user's gaze to view the content through the screen of the smart device 100. Here, the gaze derivative may be formed in a circular shape, but is not limited thereto, and may have various shapes, colors, and sizes. In an exemplary embodiment, the content may be provided to display the gaze guide by moving it along a preset trajectory. Here, the trajectory formed by the gaze derivative may be any one of figures, letters, puzzles, and characters. In addition, the content may be applied to at least one of advertisements, education, movies, and games.

In addition, the display unit 130 may display the user's eye condition analysis information. The display unit 130 may process the user's eye condition analysis information to be output on the smart device 100 and output it through the screen of the smart device 100.

In this case, in the smart device 100 according to an embodiment of the present invention, an application for providing an eye condition test service may be installed. The application may be stored in a computer-readable storage medium of the smart device 100. The application includes a predetermined set of instructions executable by the processor of the smart device 100. The command may cause the processor of the smart device 100 to perform an operation according to an exemplary embodiment. The computer-readable storage medium of the smart device 100 includes components of an operating system for executing an instruction set such as the application on the smart device 100. For example, such an operating system may be iOS of Apple (Apple) or Android of Google (Google).

Here, an application for providing an eye condition test service may provide an input interface through which user information can be input, and user data may be input through the input interface. For example, an input interface for inputting the user's name, gender, age, and smart device number may be provided to the user.

Meanwhile, an application for providing an eye condition test service may be set to perform various analysis processing and information providing operations in addition to the functions described above. For example, an application for providing an eye condition test service uploads or backs up eye condition analysis information to a preset web server (for example, an SNS server), or registers a pre-registration matching the user's information from a preset web server. The obtained eye condition analysis information may be acquired and displayed through the display unit 130.

The management server 300 may include a communication module 310, a storage module 320, a content providing module 330, a gaze recognition module 340, and an eye condition analysis module 350.

The communication module 310 may receive an image captured from the smart device 100 through the network 200. The communication module 310 may receive user information from the smart device 100 through the network 200. In addition, the communication module 310 may transmit content to the smart device 100. The communication module 310 may transmit eye condition analysis information to the smart device 100.

The storage module 320 may store user information and a photographed image received through the communication module 310. The storage module 320 may store the user's eye condition analysis information analyzed by the eye condition analysis module 350. Also, the storage module 320 may store content.

The content providing module 330 may transmit content including a gaze derivative having motion through the communication module 310. The transmitted content may be displayed through the display unit 130 of the smart device 100. Here, the gaze derivative may be formed in a circular shape, but is not limited thereto, and may have various shapes, colors, and sizes. For example, the content may be provided to display the gaze derivative by moving along a preset trajectory. However, the present invention is not limited thereto, and the gaze derivative may be provided so as not to move along a specific trajectory on the screen but to be discontinuously displayed at a random position on the screen. Here, the trajectory formed by the gaze derivative may be any one of figures, letters, puzzles, and characters. In addition, the content may be applied to at least one of advertisements, education, movies, and games.

In addition, the content providing module 330 may generate content provided to have a shape in which the gaze guide moves vertically, horizontally, and diagonally, and transmits the content to the smart device 100. In the content, the coordinate values displayed on the screen may have a continuous pattern, and the coordinate values displayed on the screen may have a random pattern, which is a discontinuous form. For example, the content providing module 330 may generate content provided so that the gaze derivative has first movement information forming a continuous pattern. In addition, the content providing module 330 may generate content provided so that the gaze derivative has second movement information forming a random pattern.

In addition, the content providing module 330 may generate the first content by allowing the gaze derivative to have first movement information forming a continuous pattern using user information. That is, the content providing module 330 compares the user information (age, gender, etc.) with the user information (age, gender, etc.) based on the previously stored user information and controls the movement speed of the gaze derivative that moves along the first movement information to generate the first content. can do. For example, it is possible to adjust the difficulty level by controlling the moving speed of the gaze derivative according to the age of the user. When the age of the corresponding user is greater than the average age of the pre-stored users, the movement speed of the gaze derivative moving according to the first movement information may be lowered by a preset speed. In addition, when the age of the corresponding user is less than the average age of the pre-stored users, the movement speed of the gaze derivative moving according to the first movement information may be increased by a preset speed.

In addition, the content providing module 330 may generate the second content by allowing the gaze derivative to have second movement information forming a random pattern using user information. The content providing module 330 compares the user information (age, gender, etc.) with the user information (age, gender, etc.) based on the previously stored user information, and controls the appearance frequency or interval of the gaze derivative that appears along the second movement information to generate second content. I can. For example, the degree of difficulty may be adjusted by controlling the number of appearances and intervals of appearance of the gaze derivative according to the user's age. When the age of the corresponding user is greater than the average age of the previously stored users, the frequency of appearance of the gaze derivative appearing according to the second movement information may be reduced by a preset number of times, and the appearance interval of the gaze derivative may be increased by a preset time. In addition, when the age of the corresponding user is less than the average age of the previously stored users, the frequency of appearance of the gaze derivative appearing along the second movement information may be increased by a preset number of times, and the appearance interval of the gaze derivative may be reduced by a preset time.

In this way, by adjusting the difficulty of the content according to the user information, a more accurate test result can be provided.

The gaze recognition module 340 may recognize a user's gaze using a captured image received through the communication module 310. The gaze recognition module 340 may generate gaze information by recognizing a user's gaze. Specifically, the gaze recognition module 340 may recognize a face from a photographed image received through the communication module 310 through a regression algorithm. Here, the regression analysis algorithm is part of the algorithm methodology used in machine learning, and the dataset used for machine learning recognizes a human face using a face landmark dataset using Dlib (distribution library). can do.

Also, the gaze recognition module 340 may generate gaze information from the recognized face image. Specifically, the gaze recognition module 340 may generate gaze information by extracting an eyeball from the recognized face image and analyzing a movement according to the horizontal, vertical, and rotational motion of the extracted eyeball. That is, the gaze recognition module 340 may recognize a coordinate value according to the extracted eyeball movement. The gaze recognition module 340 may generate gaze information based on a coordinate value.

The gaze recognition module 340 according to an embodiment of the present invention may perform calibration based on a machine learning method. Specifically, the gaze recognition module 340 performs machine learning that is learned to analyze the movement of the eyeball from the face image, and calibrates the movement of the eyeball extracted for each user, thereby increasing the recognition rate for the movement of the eyeball for each user. I can.

4 is a diagram for explaining content displayed by a smart device of an eye condition inspection system according to an embodiment of the present invention.

Referring to FIG. 4, the first content displayed through the display unit 130 of the smart device 100 may include a gaze derivative having a shape that moves vertically, horizontally, and diagonally. The first content may display coordinate values displayed on the screen as first movement information in a continuous form. For example, the first movement information may be a trajectory in which the gaze derivative moves, that is, a continuous pattern based on a continuous movement moving along the outline of a figure, a letter, a puzzle, and a character. In this case, the gaze recognition module 340 may analyze a movement according to horizontal, vertical, and rotational movements of the eyeball that tracks the trajectory of the gaze derivative.

Meanwhile, although the content is displayed in the form of drawing a trajectory here, it is not limited thereto, and those skilled in the art will readily understand that there is no limitation as long as content that displays a gaze derivative capable of recognizing a user's gaze. For example, in the content, the shape, color, size, and trajectory of the gaze derivative may be changed. In addition, the trajectory of the gaze derivative may be changed to a figure, a letter, a puzzle, or a character. Also, the content may be displayed in a manner such as a game.

5 is a view for explaining another content displayed by a smart device of the eye condition inspection system according to an embodiment of the present invention.

Referring to FIG. 5, the second content displayed through the display unit 130 of the smart device 100 may include a gaze derivative having an unspecified appearance. The second content may display coordinate values displayed on the screen as second movement information in a discontinuous form. For example, the second movement information may be a random pattern by a gaze derivative that unspecifiedly blinks, that is, a coordinate value displayed on the screen is discontinuously displayed. In this case, the gaze recognition module 340 may analyze a movement according to a horizontal, vertical, and rotational motion of the eyeball for tracking coordinate values at which the gaze derivative is displayed, and a reaction of the eyeball.

Referring back to FIGS. 1 to 3, the eyeball state analysis module 350 may analyze the eyeball state of the user by comparing the gaze information generated through the gaze recognition module 340 with movement information included in the content. Specifically, the eye condition analysis module 350 may compare the gaze information and the movement information to calculate a match rate between the gaze information and the movement information. The eye condition analysis module 350 may generate eye condition analysis information of a corresponding user based on the calculated matching rate. That is, the eye condition analysis module 350 may calculate a match rate by comparing a coordinate value included in the gaze information and a coordinate value included in the movement information. For example, if the matching rate is calculated as 90% by comparing the coordinate value of the eyeball included in the gaze information and the coordinate value of the gaze derivative included in the movement information, the analysis information on the eyeball condition calculated as 90 points will be provided to the user. I can. In this case, the eye condition analysis module 350 may calculate an average score of the pre-stored users based on the plurality of eye condition analysis information and provide it together with the eye condition analysis information of the user.

In an exemplary embodiment, the eye condition analysis module 350 may analyze the eye condition of the user by comparing the gaze information and first movement information included in the first content. Specifically, the eye condition analysis module 350 may compare the gaze information and the first movement information to calculate a match rate between the gaze information and the first movement information. The eye condition analysis module 350 may generate eye condition analysis information of a corresponding user based on the calculated matching rate. That is, the eye condition analysis module 350 may generate eye condition analysis information of a corresponding user by analyzing a degree to which gaze information corresponds to the first movement information. In this case, the eyeball condition analysis module 350 may analyze movement according to horizontal, vertical, and rotational movements of the eyeball from gaze information moving according to the first movement information.

In an exemplary embodiment, the eyeball state analysis module 350 may analyze the eyeball state of the user by comparing the gaze information and second movement information included in the second content. Specifically, the eye condition analysis module 350 may compare the gaze information and the second movement information to calculate a match rate between the gaze information and the second movement information. The eye condition analysis module 350 may generate eye condition analysis information of a corresponding user based on the calculated matching rate. That is, the eye condition analysis module 350 may generate eye condition analysis information of a corresponding user by analyzing the degree to which the gaze information corresponds to the second movement information. In this case, the eyeball condition analysis module 350 may analyze a degree to which the gaze information corresponds to a coordinate value at which the second movement information is displayed, and analyze movement according to horizontal, vertical, and rotational movements of the eyeball. In addition, the eye condition analysis module 350 may analyze a reaction speed of the eyeball by analyzing the degree to which the gaze information tracks a coordinate value at which the second movement information is displayed.

Therefore, the eye condition inspection system according to an embodiment of the present invention inspects the eye condition through gaze recognition using the front camera in the smart device, so that the inspection can be performed with a smart device without additional equipment, and cost reduction and convenience You can increase your sex.

The content providing module 360 may apply and provide content including various gaze derivatives to the game based on the eye condition analysis information. Here, the gaze derivative may be any one of figures, letters, puzzles, and characters. In addition, the game may be a puzzle game using a plurality of blocks arranged in a two-dimensional arrangement.

Accordingly, the eye condition inspection system according to an embodiment of the present invention inspects the eye condition through a smart device, provides analyzed information, and provides related content according to the analyzed information, thereby maintaining a healthy eye condition. .

6 is a flowchart illustrating a method of testing an eyeball condition using an eyeball condition test system according to an embodiment of the present invention. The method shown in FIG. 6 may be performed, for example, by a computing device 12 having one or more processors and a memory that stores one or more programs executed by the one or more processors. To this end, the eye condition test method may be implemented in the form of a program or software including one or more computer executable instructions and stored in the memory.

Further, in the illustrated flowchart, the method is described by dividing the method into a plurality of steps, but at least some of the steps are performed in a different order, combined with other steps, performed together, omitted, divided into detailed steps, or shown. One or more steps that have not been performed may be added and performed.

Referring to FIG. 6, the computing device 12 transmits a content including a gaze derivative for inducing a user's gaze movement on the screen to the smart device 100 (S601).

Next, the computing device 12 acquires a captured image of a user viewing the content from the smart device 100 (S602).

Next, the computing device 12 generates gaze information of the user based on the captured image (S603). Specifically, the computing device 12 may extract the eyeball from the recognized face image and analyze the extracted eyeball movement to generate the gaze information. In this case, the computing device 12 may calibrate the user's eye movement by performing machine learning learned to analyze the eye movement from the face image.

Next, the computing device 12 analyzes the user's eye condition based on the gaze information and the movement information of the gaze derivative to generate the user's eye condition analysis information (S604). Specifically, the computing device 12 may calculate a match rate by comparing the coordinate value of the eyeball included in the gaze information and the coordinate value of the gaze derivative included in the movement information. The computing device 12 may generate the user's eye condition analysis information based on the calculated matching rate.

Finally, the computing device 12 provides the user's eye condition analysis information to the user's smart device 100 (S605).

7 is a block diagram illustrating and describing a computing environment 10 including a computing device suitable for use in example embodiments. In the illustrated embodiment, each component may have different functions and capabilities in addition to those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12. In one embodiment, the computing device 12 may be a smart device 100. Also, the computing device 12 may be a management server 300.

The computing device 12 includes at least one processor 14, a computer-readable storage medium 16 and a communication bus 18. The processor 14 may cause the computing device 12 to operate according to the exemplary embodiments mentioned above. For example, the processor 14 may execute one or more programs stored in the computer-readable storage medium 16. The one or more programs may include one or more computer-executable instructions, and the computer-executable instructions are configured to cause the computing device 12 to perform operations according to an exemplary embodiment when executed by the processor 14 Can be.

The computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and/or other suitable form of information. The program 20 stored in the computer-readable storage medium 16 includes a set of instructions executable by the processor 14. In one embodiment, the computer-readable storage medium 16 includes memory (volatile memory such as random access memory, nonvolatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash It may be memory devices, other types of storage media that can be accessed by computing device 12 and store desired information, or a suitable combination thereof.

The communication bus 18 interconnects the various other components of the computing device 12, including the processor 14 and computer-readable storage medium 16.

Computing device 12 may also include one or more input/output interfaces 22 and one or more network communication interfaces 26 that provide interfaces for one or more input/output devices 24. The input/output interface 22 and the network communication interface 26 are connected to the communication bus 18. The input/output device 24 may be connected to other components of the computing device 12 through the input/output interface 22. The exemplary input/output device 24 includes a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touch pad or a touch screen), a voice or sound input device, and various types of sensor devices and/or a photographing device. Input devices and/or output devices such as display devices, printers, speakers, and/or network cards. The exemplary input/output device 24 may be included in the computing device 12 as a component constituting the computing device 12, and may be connected to the computing device 12 as a separate device distinct from the computing device 12. May be.

Although the exemplary embodiments of the present invention have been described in detail above, those of ordinary skill in the art to which the present invention pertains will understand that various modifications may be made to the above-described embodiments without departing from the scope of the present invention. . Therefore, the scope of the present invention is limited to the described embodiments and should not be determined, and should not be determined by the claims to be described later, but also by those equivalents to the claims.

100: smart device
110: photographing department
120: communication department
130: display unit
200: network
300: management server
310: communication module
320: storage module
330: content providing module
340: gaze recognition module
350: eye condition analysis module

Claims (7)

One or more processors, and
A computing device having a memory for storing one or more programs executed by the one or more processors,
A content providing module that generates content including a gaze derivative for inducing a user's gaze movement on a screen of a smart device;
A communication module that transmits the content to the smart device and obtains a photographed image of the user viewing the content from the smart device;
A gaze recognition module that generates gaze information of the user based on the captured image; And
And an eye condition analysis module for generating the user's eye condition analysis information by analyzing the user's eye condition based on the eye line information and movement information of the eye line guide.
The method according to claim 1,
The eye condition analysis module,
Computing device for calculating a matching rate by comparing the coordinate value of the eyeball included in the gaze information with the coordinate value of the gaze derivative included in the movement information, and generating the eyeball state analysis information of the user based on the calculated matching rate .
The method according to claim 1,
The communication module obtains user information including the user's age from the smart device,
The content providing module,
Computing device for adjusting one or more of a movement speed, an appearance frequency, and an appearance interval of the gaze derivative in the content by comparing the average age of pre-stored users based on the user information.
The method of claim 3,
The content providing module,
The first content is generated so that the gaze derivative displayed on the screen includes first movement information having a continuous shape,
The first content,
Based on the user information, when the user is greater than the average age, the moving speed of the gaze derivative is reduced by a preset speed when the user is greater than the average age, and when the user is less than the average age, the A computing device provided to increase the moving speed of the gaze-derived by a preset speed.
The method of claim 3,
The content providing module,
The second content is generated so that the gaze derivative displayed on the screen includes second movement information having a discontinuous form,
The second content,
Compared with the average age of pre-stored users based on the user information, if the user is greater than the average age, the frequency of appearance of the gaze derivative is reduced by a preset number of times, and the appearance interval of the gaze derivative is reduced by a preset time. Computing device, arranged to increase.
The method of claim 3,
The content providing module,
3rd content is generated so that the gaze guide displayed on the screen includes first movement information having a continuous shape and the gaze guide displayed on the screen second movement information having a discontinuous shape,
The third content,
Compared with the average age of users previously stored based on the user information, if the user is greater than the average age, the moving speed of the gaze derivative is reduced by a preset speed, and the appearance frequency of the gaze derivative is reduced by a preset number of times. It is reduced, and the appearance interval of the gaze derivative is provided to increase by a preset time.
One or more processors, and
A method performed in a computing device having a memory storing one or more programs executed by the one or more processors,
Transmitting content including a gaze derivative for inducing a user's gaze movement on a screen to a smart device;
Acquiring a photographed image of the user viewing the content from the smart device;
Generating gaze information of the user based on the captured image;
Analyzing the eyeball state of the user based on the gaze information and movement information of the gaze derivative to generate the eyeball state analysis information of the user; And
And providing the user's eye condition analysis information to the smart device,
Generating the eye condition analysis information,
Calculating a match rate by comparing the coordinate value of the eyeball included in the gaze information and the coordinate value of the gaze derivative included in the movement information; And
And generating the user's eye condition analysis information based on the calculated match rate.

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