KR102577906B1 - Dementia diagnosis aid system using cognitive fuction test and method thereof - Google Patents

Abstract

A dementia diagnosis assistance system using a cognitive function test according to an embodiment of the present invention includes a tool kit for testing the examinee's cognitive function, a display unit for outputting the diagnostic results of the cognitive function test, the tool kit, and the display unit. It includes a server connected to a network, and the tool kit includes a speaker that outputs the cognitive function test questions delivered from the server as voice, a microphone that receives the examinee's voice and transmits it to the server, and the examinee's voice. It is comprised of a touch input unit that receives an evaluation response and transmits it to the server, a graphic kit for performing a cognitive function test, and a photographing unit that photographs a cognitive function test performance screen of the examinee, and the server captures images from the photographing unit. A shape recognition AI module that recognizes the shape of the shape formed by the shape kit based on the image, transmits data for a cognitive function test to the tool kit, and tests cognitive function based on the information received from the tool kit. It includes a cognitive function test module that performs and outputs a diagnosis result to the display unit.

Description

Dementia diagnosis assistance system and method using cognitive function test {DEMENTIA DIAGNOSIS AID SYSTEM USING COGNITIVE FUCTION TEST AND METHOD THEREOF}

The present invention relates to a dementia diagnosis assistance system and method, and more specifically, to a dementia diagnosis assistance system and method using an ICT-based cognitive function test.

According to the 'Status of Dementia in Korea' statistics released by the Central Dementia Center, the number of dementia patients aged 65 or older is 648,223 (prevalence 9.8%) in 2015, 1 million in 2024 (prevalence 10.3%), and 2041. It is estimated to exceed 2 million people (prevalence rate 12.3%).

According to survey data from the National Statistical Office, there are currently limited testing tools available to support illiterate people, who account for more than 20-30% of the population aged 65 or older in Korea. It is difficult to conduct tests for illiterate elderly people, and cases of misdiagnosis such as false positives and false negatives are occurring. Therefore, for illiterate dementia patients, it is very difficult to track the progress of the disease and the effects of drugs using existing dementia screening tools.

In addition, existing dementia testing tools require a long testing time of at least 30 minutes, there is a shortage of professional medical professionals such as dementia specialists, neuropsychologists and clinical psychologists who have completed specialized training, and there are not enough separate testing locations. There is a shortage of hospitals that can treat dementia.

What is important in dementia treatment is early detection and prevention, and the sooner drug treatment is administered, the more likely it is to slow down the progression of dementia. Therefore, early detection and drug treatment is an active response to reducing and delaying the prevalence, thereby reducing dementia management costs. Very necessary.

Korean Patent Publication No. 10-1848630 (hereinafter abbreviated as '630 Patent'), which is a prior art, relates to a system for diagnosing and managing cognitive impairment based on a traditional card game, and is used in daily life for dementia risk groups such as the elderly. We are providing education to strengthen cognitive abilities based on fun games, and analyzing the participation process in the dementia prevention traditional guard game, which is the main component of the content service, to determine cognitive impairment through an artificial intelligence diagnostic algorithm.

However, since the above-mentioned 630 patent requires a specific game called a card game to be played, there is a problem that the reliability of the diagnostic algorithm is low for those who are good at card games and those who are not good at it, and there is a critical point at which the game can be played depending on the level of cognitive impairment. Since this may be somewhat high, there are limitations in conducting a detailed examination of all areas of cognitive impairment.

Korean Patent Publication No. 10-1848630 (2018.04.09)

The present invention is intended to solve the above problems, and specifically, the purpose is to provide a dementia diagnosis assistance system and method using a cognitive function test that allows efficient diagnosis of dementia using a cognitive function test based on ICT. Do it as

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

A dementia diagnosis assistance system using a cognitive function test according to an embodiment of the present invention to solve the above problems includes a tool kit for testing the examinee's cognitive function; A display unit that outputs diagnostic results of a cognitive function test; and a server connected to the tool kit and the display unit through a network, wherein the tool kit includes a speaker that outputs a cognitive function test question delivered from the server as a voice, and a speaker that receives the examinee's voice and receives the examinee's voice to the server. It is configured to include a microphone that transmits the test taker's evaluation response, a touch input unit that receives the examinee's evaluation response and transmits it to the server, a figure kit for performing a cognitive function test, and a photographing unit that takes a picture of the examinee's cognitive function test performance screen, The server transmits data for a cognitive function test to the tool kit, a shape recognition AI module that recognizes the shape of the shape formed by the shape kit based on the image captured by the photographing unit, and It includes a cognitive function test module that performs a cognitive function test based on the received information and outputs the diagnosis result to the display unit.

In one embodiment, the server may further include a voice recognition AI module that recognizes the examinee's voice input from the microphone and converts it into a text signal.

In one embodiment, the voice recognition AI module may analyze the examinee's voice and the converted text signal to analyze the similarity of the examinee's pronunciation and language at each point in time.

In one embodiment, the tool kit further includes a plurality of block kits including a communication unit, a light emitting unit, and a button unit, and the block kit communicates with the server through the communication unit, and receives a control signal from the server or the The light emitting unit may be configured to emit light according to the examinee's pressing operation of the button unit.

In one embodiment, the cognitive function test module may determine cognitive function by comparing information on the order in which the server emits light on the plurality of block kits and information on the order in which the examinee presses the button portion in the block kit.

In one embodiment, the server further includes a database including a learning model related to questions and answers of cognitive function tests and a shape recognition model for shape recognition, and the voice recognition AI module and the shape recognition AI module are connected to the database. The artificial intelligence model can be updated based on the data stored in and information input from the tool kit.

In one embodiment, the cognitive function test module may generate assessment questions based on LICA (The Literacy Independent Cognitive Assessment) or K-DSQ (Korean Dementia Screening Questionnaire).

In one embodiment, the server may further include a handwriting recognition module that recognizes the examinee's letters input into the touch input unit.

In one embodiment, the server may further include a facial recognition module that determines the examinee's identity by recognizing the examinee's face from the image captured by the photographing unit.

In one embodiment, the server further includes a configuration module that stores and manages configuration values for each examinee, and the configuration module stores configuration information corresponding to the identity of the examinee determined by the facial recognition module. You can call

In addition, a dementia diagnosis assistance method using a cognitive function test according to an embodiment of the present invention includes the steps of: (a) the server outputting evaluation questions for the cognitive function test as a voice through a speaker; (b) the server receiving the examinee's voice through a microphone; (c) the server receiving the examinee's evaluation response through a touch input unit; (d) the server receiving images captured through a photographing unit; and (e) the server performing a cognitive function test based on the examinee's voice information, the examinee's evaluation response information, and the shape information of the figure identified by analyzing the captured image.

In one embodiment, the dementia diagnosis assistance method using a cognitive function test according to another embodiment of the present invention is (f) the server transmits a control signal to a plurality of block kits consisting of a communication unit, a light emitting unit, and a button unit, emitting light in the light emitting units of two or more blocks among the plurality of block kits in a specific order; (g) the server receiving an input signal from the button unit when the examinee presses the button unit; and (h) the server comparing information on the order in which the plurality of block kits emit light and information on the order in which the examinee presses the button unit to determine cognitive function.

The dementia diagnosis assistance system and method according to an embodiment of the present invention can easily perform a cognitive function test based on ICT to diagnose dementia in an examinee.

The effects according to the present invention are not limited to the contents exemplified above, and further various effects are included in the present specification.

1 is a schematic configuration diagram of a dementia diagnosis assistance system according to an embodiment of the present invention.
Figure 2 is a detailed configuration diagram of the dementia diagnosis assistance system of Figure 1.
FIG. 3 is a conceptual diagram explaining the operation of the dementia diagnosis assistance system of FIG. 1.
Figure 4 is a perspective view of a block kit of a dementia diagnosis assistance system according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating an example screen in which an examinee performs a test using the block kit of FIG. 4.
Figure 6 is a diagram illustrating test items of the dementia diagnosis assistance system according to an embodiment of the present invention.

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 be understood by those skilled in the art. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Hereinafter, a real-time fitness coaching system using a smart health sensor according to embodiments of the present invention will be described with reference to the drawings.

Figure 1 is a schematic configuration diagram of a dementia diagnosis assistance system according to an embodiment of the present invention, and Figure 2 is a detailed configuration diagram of the dementia diagnosis assistance system of Figure 1.

Referring to Figures 1 and 2, the dementia diagnosis assistance system according to an embodiment of the present invention includes a tool kit 100, a display unit 200, and a server 300.

The tool kit 100 and the display unit 200 may be connected to communicate with the server 300 through wired or wireless network communication.

The tool kit 100 consists of various kits for performing a cognitive function test on the examinee, including a speaker 100, a microphone 120, a touch input unit 130, a shape kit 140, a block kit 150, and a photographing unit. It is composed including (160).

The speaker 110 serves to output the cognitive function test questions delivered from the server 300 as a voice.

The microphone 120 serves to receive the examinee's voice and transmit voice data to the server 300.

The touch input unit 130 serves to receive evaluation responses through the examinee's hand or touch pen and transmit them to the server 300.

The speaker 100, microphone 120, and touch input unit 130 may each be configured as separate devices, but may also be implemented as a single device. For example, it can be implemented as a tablet PC that includes a speaker 100, a microphone 120, and a touch input unit 130.

The shape kit 140 is a kit that allows the examinee to create shapes of corresponding shapes according to the evaluation questions. For example, the shape kit 140 may be made of matchsticks as shown in FIG. 1, and may also be made of various other components such as Lego blocks and sticks.

The block kit 150 is a kit consisting of a plurality of blocks for performing a cognitive function test on an examinee.

Referring to FIG. 4, the block kit 150 has the shape of a square block body 151, and a number is engraved on one side of the block body 151. A button portion 153 is disposed on the upper surface of the block body 151.

Although not shown in FIG. 4, a communication unit and a light emitting unit are disposed inside the block body 151. The block kit 150 communicates with the server 300 through a communication unit, and the light emitting unit is configured to emit light according to a control signal from the server 300 or a press operation of the button unit 153 by the examinee. A method of performing a cognitive function test using the block kit 150 will be described later with reference to FIGS. 3, 5, and 6.

The photographing unit 160 functions to photograph the figure kit 140 for performing a cognitive function test and the examinee's cognitive function test performance screen. The photographing unit 160 may be comprised of one or more cameras.

The video image of the shape kit 140 captured by the photographing unit 160 and the examinee's cognitive function test performance screen are transmitted and analyzed to the server 300 and used for analysis or environmental setting control for the cognitive function test.

The display unit 200 serves to output various information transmitted from the server 300. For example, the display unit 200 may output information related to evaluation questions corresponding to a cognitive function test or output a diagnosis result of the cognitive function test.

The server 300 refers to a server computer loaded with a pre-built program for cognitive function testing. The server 300 is connected to the tool kit 100 and the display unit 200 through a wired or wireless network, and provides various information related to cognitive function tests to the tool kit 100 and the display unit 200.

At this time, a server program for cognitive function testing may be installed in the server 300, and a client program may be installed in some components of the tool kit 100 or the display unit 200.

Although the PC is shown as the server 300 in FIG. 1, this is only an example. The server 300 may be installed in a remote location, and the PC may be configured as a computer with a client program provided by the server 300 installed. The client program may also be installed in components such as the touch input unit 130.

The server 300 includes a voice recognition AI module 310, a shape recognition AI module 320, a handwriting recognition module 330, a facial recognition module 340, a cognitive function test module 350, an environment settings module 360, and It is configured to include a database 370.

The voice recognition AI module 310 recognizes the examinee's voice input from the microphone 120 and converts it into text.

At this time, text conversion can be performed using an STT (Speech to Text) module. In particular, the STT module can be performed using an open source STT module released by Google or Microsoft.

Additionally, the voice recognition AI module 310 may be configured to analyze the similarity of the examinee's pronunciation and language at each point in time by analyzing the converted text information. In other words, cognitive function can be determined by analyzing the examinee's voice signal and text signal at each point in time and analyzing changes in the same examinee's language ability at each point in time.

At this time, the voice recognition AI module 310 can determine cognitive function by analyzing the text signal of the examinee, including dialect, similar words, etc.

The shape recognition AI module 320 serves to recognize the shape of the shape formed by the shape kit 140 based on the image captured by the photographing unit 160, and can be configured using OpenCV.

For example, if the shape kit 140 is a match, the examinee can change the shape of the match according to the shape of the shape mentioned in the cognitive function test questions or requests by the server 300, and the photographing unit 160 Takes an image of the shape of the match made by the examinee and transmits it to the shape recognition AI module 320, and the shape recognition AI module 320 determines whether the shape of the shape was well formed as requested based on the constructed learning model. You can judge.

The handwriting recognition module 330 serves to recognize the examinee's letters entered into the touch input unit 130. At this time, the handwriting recognition module 330 can improve the recognition rate by updating the learning model based on the examinee's input data based on a pre-built learning model.

The facial recognition module 340 functions to recognize the examinee's face from the image captured by the photographing unit 160 and determine the examinee's identity. At this time, the facial recognition module 340 may utilize known facial recognition technology.

The cognitive function test module 350 performs a cognitive function test based on information received from the tool kit 100 and outputs the analyzed results to the display unit 200.

The cognitive function test module 350 can build various evaluation models according to evaluation target items and perform cognitive function tests using them.

The cognitive function test module 350 may be configured to generate evaluation questions based on LICA (The Literacy Independent Cognitive Assessment) or K-DSQ (Korean Dementia Screening Questionnaire).

The environment setting module 360 serves to store and manage the environment setting values for each examinee. That is, the server 300 can provide the client program with a screen for setting the environment related to the cognitive function test, and the environment setting module 360 can store the environment setting values for each examinee.

In addition, the environment setting module 360 is configured to call the environment setting information corresponding to the identity of the examinee determined by the facial recognition module 340, so that the environment settings for each examinee can be automatically changed.

The database 370 includes a voice recognition AI module 310, a shape recognition AI module 320, a handwriting recognition module 330, a facial recognition module 340, a cognitive function test module 350, and an environment settings module 360. It serves to store background data related to related artificial intelligence learning models and processing values using it.

Data stored in the database 370 may be collected and constructed in advance, but may be updated through methods such as scraping data through the Internet, and data input from the tool kit 100 while performing a cognitive function test on the examinee. It can be updated to reflect.

FIG. 3 is a conceptual diagram explaining the operation of the dementia diagnosis assistance system of FIG. 1.

When the test begins with the tool kit 100 placed on the test stage (S), evaluation questions related to the cognitive function test progress are output as voices through the microphone 120. At this time, the audio output of the evaluation questions may be processed by a Text to Speech (TTS) module, and the TTS module may be an open source module released by Google or Microsoft, etc.

Depending on the evaluation test items, the examinee can answer vocally, manipulate the block kit 150, or manipulate the shape kit 140 to create a shape.

When the examinee outputs a voice, the voice recognition AI module 310 recognizes the voice, converts it into text, and transmits it to the server 300.

When the examinee performs an operation such as pressing the button unit 153 of the block kit 150 with a number displayed, the input signal from the button unit 153 is transmitted to the server 300.

Additionally, when the examinee creates a specific shape using the shape kit 140, the photographing unit 160 transmits image information including the shape kit 140 to the server 300.

The server 300 compares and analyzes the data received through the server program with the data stored in the database 370, outputs the result, that is, the cognitive function evaluation diagnosis result, and transmits it to the client program.

At this time, the diagnosis result may be output to the display unit 200.

When only some steps of the test process are performed, the results for each step are output, and the output values for the next test can be output again to each tool kit 100.

Figure 6 is a diagram illustrating test items of the dementia diagnosis assistance system according to an embodiment of the present invention.

The dementia diagnosis assistance system of the present invention can be configured to perform various subtests that evaluate the examinee's cognitive functions such as memory, spatiotemporal ability, language ability, executive ability, attention, and calculation ability.

Referring to Figure 6, the memory test consists of a 'word recall test' and a 'rod recognition test'. The 'word recall test' consists of 'immediate recall', which involves listening to a voice and immediately following it, 'delayed recall', which involves following the word after a certain period of time, and a 'recognition test', which involves selecting from a view after a certain period of time has elapsed. A 'stick recognition test' is a test that shows a specific image and requires YES/NO answers to questions.

The language test consists of a 'name waiting test' where a picture is shown and the child guesses the name, and a 'real guess' test where the child chooses the correct picture.

The visual composition test consists of a 'stick composition test' in which a picture is shown and students are asked to follow along.

The executive function test consists of 'Number Stroop', which shows a number Stroop, reads the number, and tells the number of numbers, and 'Animal Naming', which quickly says the name of an animal.

In particular, in relation to the visual composition test, the dementia diagnosis assistance system using the cognitive function test of the present invention uses the shape kit 140 among the tool kit 100, and the examinee shapes the shape kit 140 into the desired shape, and the imaging unit 160 transmits the image data of the shape kit 140 to the server 300, and the server 300 determines the shape of the shape in the same manner as described above, thereby determining the visual composition ability.

In addition, the dementia diagnosis assistance system using the cognitive function test of the present invention can perform a spatiotemporal attention test using the block kit 150.

The spatiotemporal attention test can be performed using a kit consisting of a plurality of block kits 150, as shown in FIG. 5. For example, the block kit 150 may be comprised of 9 blocks numbered from 1 to 9.

Nine blocks may be placed on a block board, and the block board may be equipped with a communication module that allows communication with the block kit 150 using a method such as serial communication. In this case, the block board can be configured to communicate with the block kit 150 and the server 300.

The visuospatial attention test using the block kit 150 includes a visuospatial attention span (direct copying) test and a visuospatial working memory (reverse copying) test.

The basic explanation related to the spatiotemporal attention span test is output as a voice through the TTS module through the speaker 110.

The examinee listens to the guidance voice and prepares to perform the spatiotemporal attention span test. At this time, the examinee may sequentially press the blocks of the block kit 150 for numbers guided by voice or displayed visually.

For example, if numbers are called out in order through the speaker 110, the examinee can remember them and press the buttons 153 of the block kit 150 corresponding to the numbers in order.

In another method, when a specific number in the block kit 150 is brightened by emitting light at intervals of about 1 second, the examinee memorizes the block that lights up and then presses the button part 153 of the block kit 150 in order. You can press it.

Figure 5 shows a state in which the light emitting unit emits light when the examinee presses the button unit 153 of the block kit 150 with the number 3 engraved on it.

The scoring table for the spatiotemporal attention span test allows questions and scoring for each digit as shown in Table 1 below.

As described above, the request is delivered to the examinee by outputting a number by voice or making the light emitting part of the block kit 150 emit light, and information on the order in which the user presses the button part 153 of the block kit 150 is provided by the block kit 150. It is automatically transmitted to the server 300 through the communication unit of 150.

For each question, 1 point is given for a correct answer, 0 points are given for an incorrect answer, and the total score is calculated by adding all points.

The width score is selected as the maximum number of digits successfully achieved at least once.

Conversely, the visuospatial working memory test corresponding to the backward copying test can be performed as shown in Table 2 below.

In the visuospatial working memory test, the total score and width score calculation methods are the same, except that the correct answer is the opposite of the order of the numbers in the question.

The dementia diagnosis assistance system using a cognitive function test according to an embodiment of the present invention can automatically evaluate spatiotemporal attention using a block kit 150 that can communicate with the server 300 as described above.

The dementia diagnosis assistance system using a cognitive function test according to an embodiment of the present invention performs the cognitive function test and can be configured to proceed with various question scenarios as shown in Table 3 below.

The above question scenarios can be further classified into categories as shown in Table 4 below.

The 14 subtests according to Table 4 above may include evaluation questions based on LICA (The Literacy Independent Cognitive Assessment) or K-DSQ (Korean Dementia Screening Questionnaire), and the corresponding evaluation questions are based on the existing LICA and K-DSQ. It can be built so that it can be programmed and driven.

Those skilled in the art to which the present invention pertains will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

100: Tool Kit 110: Speaker
120: Microphone 130: Touch input unit
140: Shape kit 150: Block kit
151: Block body 153: Button portion
160: shooting unit 200: display unit
300: Server 310: Voice recognition AI module
320: Shape recognition AI module 330: Handwriting recognition module
340: Face recognition module 350: Cognitive function test module
360: Environment setting module 370: Database

Claims (12)

A tool kit for testing the examinee's cognitive function;
A display unit that outputs diagnostic results of a cognitive function test; and
Includes a server connected to the tool kit and the display unit through a network,
The tool kit includes a speaker that outputs the cognitive function test questions delivered from the server as voice, a microphone that receives the examinee's voice information and transmits it to the server, and receives the examinee's evaluation response and sends it to the server. It is composed of a touch input unit that transmits a touch input unit, a shape kit and a plurality of block kits for performing a cognitive function test, and a photographing unit that takes a picture of the examinee's cognitive function test performance screen,
The server includes a shape recognition AI module that recognizes the shape of the shape formed by the shape kit based on the image captured by the photographing unit, and a shape recognition AI module that recognizes the examinee's voice information input from the microphone and converts it into text information. A voice recognition AI module and a cognitive function test module that transmits data for a cognitive function test to the tool kit, performs a cognitive function test based on the information received from the tool kit, and outputs the diagnosis result to the display unit. Including,
The plurality of block kits include a block body having a communication unit, a light emitting unit, and a button unit, a number engraved on one side, and the button unit being disposed on an upper surface, and communicating with the server through the communication unit. , the light emitting unit is configured to emit light according to a control signal from the server or a pressing operation of the button unit by the examinee,
The voice recognition AI module analyzes the examinee's voice information and the converted text information to determine cognitive function by analyzing the similarity of the examinee's pronunciation and language at each point in time,
The cognitive function test module assists dementia diagnosis using a cognitive function test that evaluates spatiotemporal attention by comparing information on the order in which the server emits the plurality of block kits and information on the order in which the examinee presses the button part in the block kit. system.
delete delete delete delete According to paragraph 1,
The server further includes a database including a learning model related to questions and answers of cognitive function tests and a shape recognition model for shape recognition,
A dementia diagnosis assistance system using a cognitive function test in which the voice recognition AI module and the shape recognition AI module update an artificial intelligence model based on data stored in the database and information input from the tool kit.
According to paragraph 1,
The cognitive function test module is a dementia diagnosis assistance system using a cognitive function test that generates evaluation questions based on LICA (The Literacy Independent Cognitive Assessment) or K-DSQ (Korean Dementia Screening Questionnaire).
According to paragraph 1,
The server further includes a handwriting recognition module that recognizes the examinee's letters input into the touch input unit.
According to paragraph 1,
The server further includes a facial recognition module that recognizes the examinee's face from the image captured by the photographing unit and determines the examinee's identity.
According to clause 9,
The server further includes an environment setting module that stores and manages environment setting values related to the cognitive function test corresponding to the examinee,
The preference module is a dementia diagnosis assistance system using a cognitive function test that calls preference information corresponding to the identity of the examinee determined by the facial recognition module.
(a) a step where the server outputs evaluation questions for a cognitive function test as a voice through a speaker;
(b) the server receiving the examinee's voice information through a microphone;
(c) the server converting the received voice information of the examinee into text information;
(d) the server receiving the examinee's evaluation response through a touch input unit;
(e) the server receiving images captured through a photographing unit;
(f) The server transmits a control signal to a plurality of block kits including a block body having a communication unit, a light emitting unit, and a button unit, a number engraved on one side, and the button unit being placed on the upper surface. emitting light in the light emitting units of two or more blocks among the plurality of block kits in a specific order;
(g) the server receiving an input signal from the button unit when the examinee presses the button unit; and
(e) The server performs a cognitive function test based on the examinee's voice information, the converted text information, the examinee's evaluation response information, the shape information of the figure identified by analyzing the captured image, and the input signal from the button unit. Including steps for performing,
In step (e),
The server analyzing the examinee's voice information and the converted text information to analyze the similarity of the examinee's pronunciation and language at each point in time to determine cognitive function; and
Dementia diagnosis assistance method using a cognitive function test comprising the step of evaluating spatiotemporal attention by comparing information on the order in which the server emits light on the plurality of block kits and information on the order in which the examinee presses the button portion in the block kit.
delete