Mission-Providing Device and Method for Improving Cognitive Function in Patients with Dementia

Abstract

Providing a system that can improve the cognitive function of dementia patients through the provision of missions. [Solution] This disclosure relates to a mission provision device and method for improving the cognition of dementia patients, the device including a memory for storing various mission data, and a processor for collecting target dementia patient data through artificial intelligence calls, identifying the dementia state based on the collected target dementia patient data, generating first mission data according to the dementia state of the identified target dementia patient, transmitting the first mission data to at least one of the dementia patient terminal and the guardian terminal, obtaining feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal, analyzing whether or not the cognition of the target dementia patient has improved based on the feedback data, and transmitting the analysis results to at least one of the dementia patient terminal and the guardian terminal.

Description

Technical Field

[0001] The present invention relates to a mission providing apparatus and method for improving the cognition of dementia patients.

Background Art

[0002] Alzheimer's Disease (AD) is a brain disease that develops with aging and is caused by an abnormality in the brain that leads to a gradual decline in memory. In addition, Alzheimer's disease may lead to dementia, which causes a continuous and general decline in cognitive function that interferes with daily life. Here, the cognitive function refers to various intellectual abilities such as memory, language ability, visuospatial recognition ability, judgment, and abstract thinking ability, and each cognitive function is closely related to a specific part of the brain.

[0003] Mild Cognitive Impairments (MCI) means a state in which, although not progressing to dementia, memory and cognitive function are lower than those of people of the same age. Since mild cognitive impairment can progress to Alzheimer's disease, it is an important stage in the early detection and proactive treatment of Alzheimer's disease.

[0004] Such dementia (or mild cognitive impairment) tests are generally carried out in the order of screening tests, diagnostic tests, and differential tests. Here, the screening test is carried out at a local dementia support center or a public health center, etc. It requires direct visits from the test subjects and is conducted manually, which has problems from the viewpoints of effectiveness and efficiency. Specifically, those who can directly visit the test center are extremely unlikely to be dementia patients, which reduces the effectiveness of the test. In addition, since a manual test takes several tens of minutes for one test, there are significant losses in both time and cost.

[0005] The dementia test by telephone call is a dementia test technology based on a telephone call to which artificial intelligence technology is applied, and is a technology in which artificial intelligence makes a call with the test subject instead of a person. [Overview of the project] [Problems that the invention aims to solve]

[0006] The problem that this invention aims to solve is to provide a system that can improve the cognitive function of dementia patients by providing missions.

[0007] Furthermore, the problem that this invention aims to solve is to provide a system that can offer missions suitable for the various conditions of dementia patients. [Means for solving the problem]

[0008] According to one aspect of the present invention, a device for improving the cognitive function of a dementia patient comprises a memory for storing various mission data and a processor for communicating with the memory to send and receive data, wherein the processor conducts a dementia test on the dementia patient through artificial intelligence calls and collects the results of the dementia test, obtains the dementia state of the dementia patient based on the results of the dementia test, the dementia state includes dementia attributes, the degree of dementia and the type of dementia, selects first mission data for improving the dementia patient's cognition according to the dementia state, transmits the first mission data to at least one of the dementia patient terminal and the guardian terminal, receives feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal, analyzes the usage patterns of applications installed on the dementia patient terminal when conducting the dementia test and selectively provides the type of dementia test, conducts the dementia test on a topic related to current events if the dementia patient frequently uses the news application among the applications, and the dementia patient terminal The system collects location information to confirm the frequency of outings or changes in location of the dementia patient, and based on the confirmation results, it determines the behavior of the dementia patient and adjusts the difficulty level of dementia tests related to cognitive function, the attributes include age, sex, education level, place of residence, hometown, marital status, income level, presence or absence of allergies, and use of walking aids, and when the processor selects the first mission data, it selects a mission that reflects the areas of interest and activity preferences according to the sex, selects a mission that considers the type and difficulty of the problems reflecting the education level, selects a mission that reflects the differences between urban and rural environments based on the place of residence, selects a mission that stimulates memories related to the dementia patient's hometown based on the hometown, selects a mission that can be performed with a spouse based on the marital status, selects a mission that considers the cost required to perform the mission based on the income level, selects a mission that avoids allergens during mission performance based on allergies, and selects a mission that limits the distance traveled and type of activity of the dementia patient based on the use of walking aids.If the type of dementia is Alzheimer's disease, a mission stimulating memory may be selected; if the type of dementia is vascular dementia, a mission to repeat words presented on the screen aloud and a mission to express emotions may be selected; if the type of dementia is Lewy body dementia, a visual recognition mission to find and identify a specific object from pictures displayed on the screen and a mission to say the title of a song after listening to music may be selected; if the type of dementia is frontotemporal dementia, at least one of the following missions may be selected: a mission to record a conversation with a caregiver and submit the audio data, a mission to describe facial expressions displayed on the screen in words, and a mission to submit a photograph after completing household chores; and if the type of dementia is Parkinson's disease, at least one of the following missions may be selected: a mission to roll a ball with one's hands and take a photograph, a mission to record and submit a conversation with a caregiver, and a mission to submit a photograph after performing fine motor skills.

[0009] Furthermore, according to another aspect of the present invention, a method for improving the cognitive function of a dementia patient performed by an electronic device includes the steps of: conducting a dementia test on the dementia patient through an artificial intelligence call and collecting the dementia test results; acquiring the dementia state of the dementia patient based on the dementia test results - the dementia state includes the attributes of dementia, the degree of dementia, and the type of dementia -; selecting first mission data for improving the dementia patient's cognition according to the dementia state and transmitting the first mission data to at least one of the dementia patient terminal and the guardian terminal; and receiving feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal, wherein the electronic device, when conducting the dementia test, analyzes the usage patterns of applications installed on the dementia patient terminal and selectively provides the type of dementia test; if the dementia patient frequently uses the news application among the applications, the dementia test is conducted on a topic related to current events; and location information of the dementia patient terminal is collected. The frequency of outings or changes in location of the dementia patient is confirmed, the behavior of the dementia patient is judged based on the confirmation results, and the difficulty level of dementia tests related to cognitive function is adjusted, the attributes include age, sex, education level, place of residence, hometown, marital status, income level, presence or absence of allergies, and use of walking aids, and when selecting the first mission data, the electronic device selects a mission that reflects the areas of interest and activity preferences according to the sex, selects a mission that considers the type and difficulty level of problems reflecting the education level, selects a mission that reflects the differences between urban and rural environments based on the place of residence, selects a mission that stimulates memories related to the dementia patient's hometown based on the hometown, selects a mission that can be performed with a spouse based on the marital status, selects a mission that considers the cost required to perform the mission based on the income level, selects a mission that avoids allergens during mission performance based on allergies, and selects a mission that limits the distance traveled and type of activity of the dementia patient based on the use of walking aids.If the type of dementia is Alzheimer's disease, a mission stimulating memory is selected; if the type of dementia is vascular dementia, a mission to repeat words presented on the screen aloud and a mission to express emotions are selected; if the type of dementia is Lewy body dementia, a visual recognition mission to find and identify a specific object from pictures displayed on the screen and a mission to say the title of a song after listening to music are selected; if the type of dementia is frontotemporal dementia, at least one of the following missions is selected: a mission to record a conversation with a caregiver and submit the audio data, a mission to describe facial expressions displayed on the screen in words, and a mission to submit a photograph after completing household chores; and if the type of dementia is Parkinson's disease, at least one of the following missions may be selected: a mission to roll a ball with one's hands and take a photograph, a mission to record and submit a conversation with a caregiver, and a mission to submit a photograph after performing fine motor skills.

[0010] Furthermore, according to yet another aspect of the present invention, a system for improving the cognition of dementia patients includes a dementia patient terminal that provides mission data and acquires data related to mission execution, a guardian terminal that selects or modifies the mission data provided to the dementia patient terminal, and a computing device that provides mission data to at least one of the dementia patient terminal and the guardian terminal, wherein the computing device conducts a dementia test on the dementia patient through artificial intelligence calls and collects the dementia test results, acquires the dementia state of the dementia patient based on the dementia test results, the dementia state includes dementia attributes, the degree of dementia and the type of dementia, selects first mission data for improving the cognition of the dementia patient according to the dementia state, transmits the first mission data to at least one of the dementia patient terminal and the guardian terminal, receives feedback data on the first mission data from at least one of the dementia patient terminal and the guardian terminal, and installs it on the dementia patient terminal when conducting the dementia test. The system analyzes the usage patterns of the provided applications to selectively provide types of dementia tests, conducts the dementia tests on current events themes if the dementia patient frequently uses the news application among the applications, collects location information from the dementia patient's terminal to confirm the frequency of the dementia patient's outings or changes in location, determines the dementia patient's behavior based on the confirmation results, and adjusts the difficulty level of dementia tests related to cognitive function, the attributes include age, gender, education level, place of residence, hometown, marital status, income level, presence of allergies, and use of walking aids, the computing device, when selecting the first mission data, selects missions that reflect the areas of interest and activity preferences according to the gender, selects missions that consider the type and difficulty level of problems reflecting the education level, selects missions that reflect the differences between urban and rural environments based on the place of residence, selects missions that stimulate memories related to the dementia patient's hometown based on the hometown, and selects missions that can be performed together with a spouse based on the marital status.Based on the income level, a mission may be selected considering the costs necessary to carry out the mission; based on the allergies, a mission may be selected to avoid allergens during the mission; based on the use of walking aids, a mission may be selected to limit the distance traveled and types of activities of the dementia patient; if the type of dementia is Alzheimer's disease, a mission to stimulate memory may be selected; if the type of dementia is vascular dementia, a mission to repeat words presented on the screen aloud and a mission to express emotions may be selected; if the type of dementia is Lewy body dementia, a visual recognition mission to find and identify a specific object from pictures displayed on the screen and a mission to say the title of a song after listening to music may be selected; if the type of dementia is frontotemporal dementia, at least one of the following may be selected: a mission to record a conversation with a caregiver and submit the audio data, a mission to describe facial expressions displayed on the screen in words, and a mission to submit a photograph after completing household chores; and if the type of dementia is Parkinson's disease, at least one of the following may be selected: a mission to roll a ball with one's hands and take a photograph, a mission to record and submit a conversation with a caregiver, and a mission to submit a photograph after performing fine motor skills.

[0011] Further specific details of the present invention are included in the detailed description and drawings. [Effects of the Invention]

[0012] According to the present invention, by providing customized mission data tailored to the dementia state of the target dementia patient, the effect of improving the cognitive function state of dementia can be maximized. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram of a dementia screening device according to one embodiment of the present invention. [Figure 2] This is an illustrative diagram showing the process of dementia testing in a dementia testing device according to one embodiment of the present invention. [Figure 3]This is a conceptual diagram relating to inbound demand for a dementia screening device based on one embodiment of the present invention. [Figure 4] This flowchart schematically illustrates a part of a dementia testing method based on inbound requests according to one embodiment of the present invention. [Figure 5] This is an illustrative diagram of the STT multiplexing process in a dementia screening device according to one embodiment of the present invention. [Figure 6] This figure shows a system for improving cognitive function in dementia patients according to one embodiment of the present invention. [Figure 7] This figure shows an example of a device for improving cognitive function in dementia patients according to one embodiment of the present invention. [Figure 8] This flowchart illustrates a method for improving cognitive function in dementia patients according to embodiments of the present invention. [Figure 9] This flowchart illustrates a method for improving cognitive function in dementia patients according to embodiments of the present invention. [Figure 10] This flowchart illustrates a method for improving cognitive function in dementia patients according to embodiments of the present invention. [Figure 11] This flowchart illustrates a method for improving cognitive function in dementia patients according to embodiments of the present invention. [Figure 12] This figure shows an example of a user interface for a mission provided to dementia patients. [Modes for carrying out the invention]

[0014] The advantages and features of the present invention, as well as methods for achieving them, will become clearer by referring in detail to the embodiments described below, along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and can be implemented in various forms. These embodiments are provided to complete the disclosure of the present invention and to allow those skilled in the art to fully understand the scope of the invention, and the present invention is defined only by the claims.

[0015] The terms used in this specification are for the purpose of describing embodiments and are not intended to limit the present invention. In this specification, the singular form includes the plural form unless otherwise specified. Also, the terms "comprises" and / or "comprising" used in this specification do not exclude the presence or addition of other components other than the described components. Throughout this specification, the same reference numerals indicate the same components, and "and / or" includes each of the described components and any combination thereof. Furthermore, terms such as "first" and "second" are used to distinguish various components and are not intended to limit the components by these terms. Therefore, the first component referred to below may be the second component within the scope of the technical idea of the present invention.

[0016] As used herein, "Artificial Intelligence Call" means a telephone equipped with a technology that enables artificial intelligence to make calls on behalf of a person. An artificial intelligence call system uses STT (Speech-to-Text) technology to convert the user's voice into text data and TTS (Text-to-Speech) technology to convert text into voice. The converted text data is analyzed by natural language processing technology to understand the user's intention and generate a corresponding response. In the field of dementia screening, artificial intelligence calls can be used to automate screening tests and determine the necessity of subsequent tests. The test subject can receive the test through a phone call without directly visiting the testing institution, and by automating the stage where a human examiner asks questions and records the answers, the test time and cost can be reduced. Artificial intelligence calls can contribute to analyzing the test results and selecting subjects who need subsequent tests.

[0017] As used herein, the "dementia examination" refers to a dementia examination using an artificial intelligence call system. Since the artificial intelligence call system conducts the dementia examination remotely through a telephone call, the examinee does not need to visit the examination institution directly, and it automates the processes of questions, answer recording, and analysis that were previously performed by human examiners, thus shortening the examination time. It can be operated 24 hours a day and can process multiple examinations simultaneously, enabling efficient utilization of medical resources. It can also expand the examination opportunities for the elderly who have difficulty moving or have no spare time, and provide examinations without geographical restrictions. Artificial intelligence can objectively evaluate by quantitatively analyzing various linguistic features such as the number of words, conversion scores, category scores, and preservation scores. The dementia examination based on the artificial intelligence call system can analyze the examination results to select examinees who require subsequent examinations and refer these examinees to specialized medical institutions or dementia specialized examination institutions for cooperation.

[0018] As used herein, the "language fluency value" refers to a value obtained by quantifying related abilities (such as semantic memory, executive function, working memory, etc.) to determine the presence and / or progression of dementia. This is an important indicator for quantitatively evaluating the language ability of the examinee and determining the possibility of dementia. Generally, dementia patients have a decline in language ability, 1) the number of words that can be spoken within a given time decreases, 2) there is a tendency to repeatedly use the same words, and 3) they often deviate from the topic of conversation or give answers unrelated to the questions. Therefore, to obtain the "language fluency value", words related to a specific theme are uttered, the recorded answer voice is converted into character data, and words that match the given theme are extracted.

[0019] Scores are calculated considering the total number of words, the number of words in the first half / second half, the number of characters per word, the number of category changes, the number of words per category, the number of repeated words, etc. The calculated language fluency value is compared with a preset reference value to determine the necessity of subsequent examinations. The reference value is set as a value suitable for each examination group based on auxiliary information such as gender, age, educational level, and the number of cohabitants.

[0020] The "verbal fluency score" plays a crucial role in dementia testing based on artificial intelligence call systems, offering several advantages: 1) reduced testing time (improving efficiency by shortening testing time to under 3 minutes), 2) minimized restrictions on target population (as it is not a written test, there are virtually no restrictions on who can be tested), 3) non-face-to-face testing (the test can be conducted without the examiner and the test subject meeting face-to-face), and 4) various instructions can be presented simultaneously with the call via a smartphone app or web interface, enabling accurate and convenient testing anytime, anywhere.

[0021] "Verbal fluency" can be quantified using the following formula. [Mathematics 1] LFV=a1*A+a2*B+a3*C+a4*D+a5*E+a6*F+a7*G LFV: Language Fluency Score A: Total number of words B: Number of words in the first half C: Number of words in the latter half D: Average number of characters per word E: Number of category changes F: Average word count by category G: Number of duplicate words a1~a7: Weight variables (a1+a2+a3+a4+a5+a6+a7=1, and a1~a7 are all constants between 0 and 1, inclusive)

[0022] According to one embodiment, the verbal fluency score can be calculated by reflecting not only the content of the test subject's responses but also supplementary information. Here, "supplementary information" refers to basic information about the test subject, such as personal details, and may include, for example, gender (male, female), age (teens, 20s, 30s, 40s, 50s, 60s, 70s, 80s, 90s, etc.), educational level (elementary school graduate, junior high school graduate, high school graduate, bachelor's, master's, doctoral, etc.), and number of people living together (1 person, 2 people, 3 people, 4 people, etc.). The test content analysis unit 145 can calculate a more accurate verbal fluency score by applying the types, number, and weights of variables used to calculate the verbal fluency score in a differential manner based on supplementary information such as age, gender, educational level, and number of people living together.

[0023] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall be used in the sense that a person skilled in the art in the field to which this invention pertains would ordinarily understand them. Furthermore, terms defined in commonly used dictionaries shall not be idealized or interpreted excessively unless explicitly defined otherwise.

[0024] Embodiments of the present invention will be described in detail below with reference to the attached drawings.

[0025] Figure 1 is a conceptual diagram of a dementia testing device according to one embodiment of the present invention.

[0026] As shown in Figure 1, a computing device 300 according to one embodiment of the present invention can perform dementia testing while sending and receiving information with at least one of a dementia patient terminal 100, including a mobile device, and a guardian terminal 200. The computing device 300 may include an input module 110, a dementia testing module 120, a processor 130, a voice conversion module 140, a memory 150, a communication module 160, and an STT module 170. In this case, the computing device 300 in Figure 1 may include a dementia testing device.

[0027] The computing device 300 is a server that conducts dementia screening using artificial intelligence calls. Here, "artificial intelligence call" refers to a telephone with artificial intelligence technology applied, where artificial intelligence makes calls on behalf of a human. Specifically, an artificial intelligence call can provide terminals connected to the artificial intelligence call with pre-recorded audio consisting of artificial intelligence voice and / or human-recorded audio. For example, pre-recorded audio may include guidance messages, question voices, and closing messages.

[0028] Users can participate in dementia testing through interaction with artificial intelligence, such as receiving voice messages provided by the AI ​​call and providing corresponding responses. In one embodiment, if the smooth progress of the user and dementia testing process based on the AI ​​call is not observed, the provision of pre-stored AI voice messages can be stopped, and a human can directly intervene to communicate with the dementia testing participant, who is the user of at least one of the dementia patient terminal 100 and guardian terminal 200. If a user feels that the dementia testing is not progressing smoothly, they can manually contact the dementia testing service provider by pressing the "Call Consultant" button displayed on the screen of at least one of their dementia patient terminal 100 or guardian terminal 200.

[0029] The computing device 300 is capable of communicating with at least one of the dementia patient terminal 100 and the guardian terminal 200. When a telephone call is established with the external device 20 of the user who is the subject of the test, the computing device 300 initiates an artificial intelligence call and conducts a dementia test based on voice question and answer. During the test, the computing device 300 analyzes the voice responses obtained from at least one of the dementia patient terminal 100 and the guardian terminal 200 as test content to determine whether the user of the external device 20 is eligible for a subsequent dementia test. Because this process is performed automatically by the computing device 300 without direct intervention from "people" such as examiners or administrators, the time and cost required for dementia testing can be dramatically reduced. In addition, by filtering the need for an in-person test via telephone call before the subject visits a testing facility to participate in the test, the effectiveness of subsequent dementia tests can be increased and budgets can be saved.

[0030] The computing device 300 evaluates the verbal fluency of the test subject through voice question-and-answer based on artificial intelligence calls and determines the need for further testing. Specifically, the computing device 300 conducts a dementia test based on voice question-and-answer, analyzes the test subject's voice responses obtained therefrom, and calculates a verbal fluency value that quantifies verbal fluency. The dementia testing device 10 compares and analyzes the calculated verbal fluency value with a preset value to determine whether further testing is necessary. For example, if the verbal fluency value is less than the preset value, the user can be determined to be a candidate for further testing, and if the verbal fluency value is equal to or greater than the preset value, the user can be determined not to be a candidate for further testing. The dementia test conducted by the computing device 300 corresponds to one of three stages of testing: a screening test, a diagnostic test, and a differential test.

[0031] The input module 110 can collect first data, including the user's dementia test request, to initiate the dementia testing process via the computing device 300. Since this first data, including the dementia test request, is generated by the user who has at least one of the dementia patient terminal 100 and the guardian terminal 200, if not properly controlled, excessive dementia testing processes could lead to server downtime or network failures. This could result in wasted budget and have a significant impact on dementia management operations. Therefore, inbound dementia testing devices need to process the "dementia test request" signal with precision.

[0032] The dementia screening process of the inbound computing device 300 is initiated by first data, which includes a dementia screening request. This first data can be collected by one or more of the following methods: making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app push notification, touching an NFC tag, or kiosk input. The first data is primarily generated by at least one of the dementia patient terminal 100 and guardian terminal 200, such as a smartphone owned by the user intending to participate in the dementia screening. However, it can also be generated by other devices such as desktop PCs, kiosks, or computers with connected input devices and transmitted to the computing device 300. At least one of the dementia patient terminal 100 and guardian terminal 200 may be a mobile device owned by the person being screened, or it may be a tablet PC, desktop PC, kiosk, or computer with connected input devices. However, the device on which the dementia screening process is performed is required to be a communication device equipped with a microphone.

[0033] The first data, including the user's dementia test request, can be generated by one or more of the following methods: making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app push notification, touching an NFC tag, or kiosk input. From the perspective of the computing device 300, this means that a "dementia test request" has been received, and is therefore called an "inbound request." Referring to Figure 3, the configuration of the inbound request 300 can be seen. The dementia test request generated by at least one of the dementia patient terminal 100 and the guardian terminal 200 is transmitted to the computing device 300 via the input module 110 and serves as a trigger to initiate the dementia test process.

[0034] One embodiment of the first data collected by telephone is as follows: When the user dials a designated telephone number, the automated response system (ARS) of the computing device 300 is activated to collect a request for dementia testing. The automated response system (ARS) is contained in the input module 110. The computing device 300 recognizes the user's voice commands and, if necessary, guides the user to input basic information by voice, or allows the user to select additional tests by pressing buttons if necessary.

[0035] One embodiment of the first data collected by scanning a two-dimensional barcode is as follows: When a user scans a QR code (registered trademark) with their smartphone, a webpage or app opens, and a dementia test request is received by the computing device 300 via the input module 110. After receipt, the computing device 300 automatically makes a call to at least one of the dementia patient terminal 100 and the guardian terminal 200 via the communication module 160, and the dementia test process begins once the call is connected. During this process, the dementia test can be started quickly by automatically entering the user's ID or initial information that has been previously stored in the browser or smartphone via the QR code (registered trademark). Membership is not required, and the process may proceed using a pseudonym. If the user consents on the browser accessed via the QR code (registered trademark), at least one of the following second data may be collected: the user's name, telephone number, gender, and highest level of education. In addition, consent information regarding the use of personal information concerning the use of the second data can be obtained from the user.

[0036] One embodiment of the first data collected by entering a web address is as follows: The user can enter a pre-designated web address through a web browser pre-installed on an internet-connected computer such as a smartphone or PC, and move to the dementia test page to register a request. At this time, the web page is provided with basic information input fields, where the user can directly enter their name, contact information, telephone number, desired test date, etc. Based on the entered information, the computing device 300 automatically makes a phone call to start the dementia test process.

[0037] When a parent of a certain age or older wishes to undergo dementia testing, and the individual does not conduct the test themselves, the test information can be pre-configured by entering a web address, and the person being tested can be notified in advance, allowing family members to easily receive the dementia test. Furthermore, this pre-configured test information can be easily shared by sending it to the person being tested in advance via a messenger such as KakaoTalk. In addition, the person receiving the test information can adjust the schedule on the webpage to take the test at a time convenient for them. This web address input method has the advantage of being easily accessible even without a QR code (registered trademark).

[0038] One embodiment of the first data collected by sending an SMS message is as follows:

[0039] When a user sends an SMS containing a specific code or keyword to a designated number, the dementia screening request is automatically accepted. The computing device 300 analyzes the content of the message sent by the user and the caller ID to identify users who require screening, and if it determines that screening is necessary, it attempts to initiate the dementia screening process by making a phone call. If necessary, it can provide detailed screening instructions and links through a reply message. If the desired date for the dementia screening is included in the SMS message, the device can analyze the message content and initiate a phone call for the dementia screening on the date requested by the sender.

[0040] One embodiment of the first data collected via app push notifications is as follows: If a dedicated dementia screening app is connected to a computing device 300 via the internet, the user can initiate a screening request via the app's push notification. Clicking the push notification automatically sends the user's identity information and basic status information to the app, and the screening begins immediately. The app-based method allows users who already have the app installed to easily access the screening and can support efficient screening by linking additional user information and records. Furthermore, the app allows users to check when they took the dementia screening, their dementia screening score, and the progress of score improvement, making it effective for long-term dementia patient management. In addition, it can easily provide information on lifestyle and dietary habits useful for dementia prevention, various games and content, and the locations of dementia support centers and medical institutions.

[0041] One embodiment of the first data collected by the NFC tag is as follows: When a user touches at least one of a dementia patient terminal 100, such as a smartphone, and a guardian terminal 200 to an NFC tag at a specific location, a dementia test request is automatically collected. Recent advancements in NFC tag technology allow for easy installation even inside thin paper media such as stickers and printed paper. Many smartphones are equipped with readers that have sensors to recognize NFC tags, so a dementia test request signal can be easily generated simply by touching the smartphone to the NFC tag. In particular, since it is common practice to register the installation location when installing NFC tags, it is easy to determine the user's location even when using at least one of the dementia patient terminal 100 and guardian terminal 200, where location information such as GPS is turned off. After determining the location, a customized test can be provided that reflects the starting location and circumstances of the dementia test.

[0042] One embodiment of the first data collected via kiosk input is as follows: Users can request dementia testing themselves through kiosks installed in hospitals and public facilities. The kiosks are equipped with touchscreens, and users can apply for testing by pressing a request button and entering simple information. The kiosk system can provide the functionality to request testing directly on-site and to book dementia testing at a time of the user's choosing. Therefore, patients visiting the hospital for other medical treatments can easily book dementia testing, and accompanying guardians can also book on their behalf.

[0043] The dementia testing module 120 is either included in or connected to the processor 130, and can receive and process data provided by the processor 130, and provide the processing results to the processor 130. The dementia testing module 120 is responsible for conducting dementia tests on subjects who possess at least one of a dementia patient terminal 100 and a guardian terminal 200, to which an AI call for dementia testing is connected. The dementia test conducted by the dementia testing module 120 may proceed based on voice question and answer. For example, the dementia testing module 120 can conduct the test by providing questions for the test to at least one of the dementia patient terminal 100 and the guardian terminal 200, and obtaining the subject's voice responses from at least one of the terminals. Specifically, the dementia testing module 120 can provide voice questions that present a specific theme (or criteria, category, etc.) to the subject and ask them to answer as many words corresponding to that theme as possible within a predetermined time. The dementia testing module 120 can obtain the voice responses that the user gives in response to the voice questions.

[0044] According to one embodiment, the dementia test conducted by the dementia test module 120 may include a first test and a second test, which proceed sequentially. Here, the "first test" may be a practice test conducted prior to the second test to improve the user's understanding of the test. The "second test" may be the main test used to substantially determine the presence or absence of dementia in the person being tested or the level of its symptoms.

[0045] Details of the tests performed using these dementia testing modules 120 will be described later with reference to Figures 2 to 4.

[0046] The processor 130 may consist of one or more processors. The processor 130 can send and receive information with the input module 110, dementia testing module 120, processor 130, voice conversion module 140, memory 150, communication module 160, and STT module 170, and process the data necessary for dementia testing. In this case, one or more processors may be general-purpose processors such as CPUs, APs, and DSPs (Digital Signal Processors), graphics-dedicated processors such as GPUs and VPUs (Vision Processing Units), or artificial intelligence-dedicated processors such as NPUs. One or more processors are controlled to process input data according to predetermined operating rules or artificial intelligence models stored in memory.

[0047] The default behavioral rules or artificial intelligence models are characterized by being created by learning. Here, "created by learning" means that a fundamental artificial intelligence model is trained using a learning algorithm with a large amount of training data to create default behavioral rules or artificial intelligence models configured to perform desired characteristics (or objectives). Such learning may be performed on the device on which the artificial intelligence relating to this disclosure is run, or on a separate server and / or system. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

[0048] The processor 130 collects and processes second data, including at least one of the user's name, telephone number, gender, and highest level of education, and consent information regarding the use of said second data, along with first data, including the user's request for dementia testing, via the input module 110. In addition to the user's name, telephone number, gender, and highest level of education, the second data may further include the user's date of birth, address, telephone number, family history, presence or absence of current illnesses, information on medications being taken, occupational history, lifestyle information, history of cognitive function, language use habits, level of participation in social activities, and psychological state. Separate questionnaires or games may be provided to collect the information of said second data. In order to collect the second data without causing discomfort, rewards may be given for completing such questionnaires or games.

[0049] To obtain more accurate dementia test results, collecting secondary data is important, but since this often involves personal information, it can be done by obtaining consent regarding personal information during the inbound request process, such as making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app's push notification, touching an NFC tag, or entering information at a kiosk.

[0050] The processor 130 analyzes information about at least one of the dementia patient terminal 100 and guardian terminal 200 from which the first data is generated and transmitted, and can configure a dementia screening process adapted to the user's environment based on the external device information, the first data, and the second data. An example of at least one of the dementia patient terminal 100 and guardian terminal 200 from which the first data, including a dementia screening request, is transmitted is a mobile device such as a smartphone. After obtaining consent regarding personal information, the computing device 300 can collect location information from at least one of the dementia patient terminal 100 and guardian terminal 200, and can check the frequency of going out and whether there are any changes in location for specific time periods for users whose location information is enabled.

[0051] If there is little movement in position, it can be determined that the individual has difficulty moving, and the difficulty level of dementia tests related to cognitive function can be adjusted. If there is frequent movement in position, additional dementia tests related to spatial awareness can be included. Furthermore, by analyzing patterns such as the language and words frequently used by the user, typing speed, and speech speed during phone calls, language usage habits can be understood, and the difficulty level of dementia tests can be increased or decreased based on the frequency of use and context.

[0052] Furthermore, by analyzing whether users frequently use their smartphones or primarily use them during specific time periods, it is possible to control the system to avoid these peak usage times or to initiate AI-powered dementia screening calls during those times. In addition, by analyzing users' app usage patterns, the types of dementia screening tests can be selectively offered. By analyzing which apps users primarily use, such as news, social media, messenger, and game apps, the screening process can be tailored to current events for users who primarily use news apps, or to provide screening processes on non-current events topics. For users who primarily use social media apps or messengers, the difficulty of the screening can be adjusted by tailoring the screening process to the vocabulary and topics the user primarily uses or is interested in on those platforms, or to screen them on topics other than those they primarily use.

[0053] The processor 130 can grasp the location information of at least one of the dementia patient terminal 100 and guardian terminal 200 at the time the first data was transmitted, and based on the grasped location information, it can generate first jurisdictional information concerning the administrative area where at least one of the dementia patient terminal 100 and guardian terminal 200 is located, and second jurisdictional information concerning the medical institution responsible for that location.

[0054] The processor 130 subdivides the second jurisdictional information into regional medical institutions and basic medical institutions, and adds medical institution-specific guidance and additional examination processes to the dementia examination process based on voice question and answer, which is basically provided to at least one of the dementia patient terminal 100 and the guardian terminal 200, according to the second jurisdictional information.

[0055] The processor 130 subdivides regional administrative agencies and basic administrative agencies based on the first jurisdictional information, and analyzes the number of times, methods, locations, and timings of requests for dementia testing by the user based on the first data, the second data, and the first jurisdictional information. If the same user requests dementia testing more than a predetermined number of times within a certain period, the processor 130 can control the process so as not to execute the dementia testing process.

[0056] The processor 130 analyzes the response voice transmitted via the communication module 160 in real time, separates the user's voice from the background voice, and if it is determined that the background voice includes the voice of a person other than the user, or that the background voice was generated in a place where there is noise of 50 decibels or more, it can send a message to at least one of the dementia patient terminal 100 and the guardian terminal 200 indicating whether or not to discontinue the dementia examination process.

[0057] To separate the user's voice from background noise in real time, separation methods using microphone arrays and speech separation models based on neural networks can be used. When using microphone arrays, multiple microphone arrays are used to separate sound sources, and based on the location information of the sound sources, sounds originating from a specific direction can be emphasized while sounds from other directions are suppressed. For example, the user's voice, which is generated close to the smartphone's microphone, can be emphasized while background noise and other people's voices are suppressed. Alternatively, beamforming technology can be used to extract only the user's voice signal at a specific location, separating noise and other people's voices from other directions as background noise.

[0058] Neural network-based speech separation can process speech data in real time using Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), or Transformer models to separate user speech from background noise. Pre-trained speech separation models can be used to separate user speech even in situations where multiple speech signals are present. This allows for real-time processing of response speech signals, separating background noise and user speech as independent signals. Signal-to-signal correlation analysis techniques can also be applied to analyze the frequency bands of speech signals and distinguish between speaker voice characteristics (e.g., pitch, pronunciation pattern) and background noise characteristics (e.g., irregular frequency bands) in real time.

[0059] To determine whether background audio contains the voice of someone other than the person being tested for dementia, a speaker recognition algorithm is applied to the audio signal. After pre-training the system with the user's voice, it is possible to determine in real time whether the response voice is from the same speaker or not. In the first test, which is a practice dementia test, the voice of the user being tested for dementia is recognized while the first test is being conducted, and in the second test, which is the actual test, the speaker recognition algorithm can be applied to distinguish between the voice of the user being tested for dementia and the voice of other people.

[0060] Furthermore, during the first test, the volume, timbre, and intonation of the user's spoken response can be analyzed to distinguish whether or not the user is a candidate for dementia testing. In this way, the characteristics of the speaker's voice signal can be analyzed, and the speech frequency and intonation can be analyzed. For example, if the characteristics of the user's voice and the background voice are clearly different, this can be used as training data to separate the user's voice from the voice signals of other speakers. If it is determined that the background voice includes the voice of someone other than the user, a message can be sent to at least one of the dementia patient terminal 100 and the guardian terminal 200 asking the user whether or not to discontinue the dementia testing process in order to obtain accurate dementia test results.

[0061] A method for determining whether background audio was generated in a location with noise levels of 50 decibels or higher can be performed using a noise intensity analysis method based on decibel measurement. The noise intensity is measured in decibels (dB) from the response audio signal received by the communication module 160. The average dB value of background noise collected over a certain period is calculated using the noise level meter function. If this value exceeds 50 decibels, it is determined that the noise in that location is background noise affecting the user's audio signal. This method can also be performed using a frequency band analysis method.

[0062] Generally, background noise appears in specific frequency bands. By analyzing these bands in real time and setting frequency ranges where noise above 50 decibels primarily occurs, if the signal intensity in a specific frequency band exceeds 50 decibels, it can be determined that background noise is strong and recognized as noise that may affect the user's response. This can also be determined using noise reduction filtering technology and level monitoring. By applying a noise cancellation filter to remove background noise from the audio signal and extracting only the noise component, it is possible to determine whether noise above 50 decibels exists by monitoring the decibel level of the filtered background noise signal. If it is determined that the background audio was generated in a location with noise above 50 decibels, a message can be sent to at least one of the dementia patient terminal 100 and the guardian terminal 200 indicating whether to stop the dementia test process, thereby guiding the dementia test to be conducted in an environment where the user can obtain more accurate dementia test results.

[0063] The processor 130 may include a dementia testing module 120 that, after receiving first data from the input module 110, establishes a call with at least one of the dementia patient terminal 100 and the guardian terminal 200 for dementia testing, provides guidance voice via the communication module 160, conducts a first test which is a preliminary practice test to improve the subject's understanding of the testing procedure, and conducts a second test which is the main test to determine the presence or absence of dementia in the subject or the level of symptoms.

[0064] The processor 130 analyzes the response audio for word count, word count in the first half, word count in the second half, character count per word, number of category changes, word count per category, speech rate, pronunciation accuracy, intonation, stress changes, voice tremor, theme consistency, conversation flow maintenance, and number of repeated words, and can score the results of the testing process by applying an adjustment criterion to at least one of these factors.

[0065] The processor 130 controls an STT module 170, which consists of one or more speech-to-text (STT) models, and applies three or more STT models to convert the response speech into text. The converted text phrases are then compared with each other, and the converted text that accounts for the majority of the results can be selected and used to score the results of the dementia assessment process. The word processing process of the STT module 170 is schematically shown in detail in Figure 5.

[0066] The voice conversion module 140 can provide users with a personalized experience by utilizing the characteristics of various voices and can convert to multiple voices to support interaction with the user. 1) Voice conversion according to age is possible. By converting the AI ​​voice according to age groups such as children, young adults, middle-aged people, and the elderly, more natural and friendly communication with the user can be achieved. 2) Voice conversion according to gender is possible. It can be converted to male and female voices to suit the user's preference. 3) Voice conversion according to emotion is possible.

[0067] The voice can be adjusted to a calm, friendly, or encouraging tone depending on the situation. A calm tone can be used during questioning stages where the user needs to concentrate, and an encouraging voice can be used to conclude the message once the diagnosis is complete, providing psychological stability. 4) Speed ​​and intonation can be adjusted. To enhance the effectiveness of information transmission, difficult questions can be pronounced slowly and clearly, while simple instructions can be delivered naturally and quickly. 5) It is possible to use specific regional dialects (accents).

[0068] By providing regional dialects and familiar intonations tailored to the user's linguistic background, more natural interaction can be enabled. For users from specific regions, a sense of familiarity can be fostered by providing questions and guidance messages in their local dialect. In particular, using the voice conversion module 140, not only questions but also the voice responses provided by individuals being diagnosed with dementia can be converted into standard Japanese, resulting in more accurate dementia test results. A regional dialect database is built and responses are analyzed; dialects with the same meaning as standard Japanese are recognized as correct answers, while uninterpretable dialects are treated as noise.

[0069] By utilizing the voice conversion module 140 in this way, it is possible to analyze the second data and the user's personal information, provide a friendly voice quality suited to each user, reduce resistance to the dementia examination and diagnosis process using artificial intelligence calls, create a comfortable environment, and increase the examination completion rate.

[0070] Memory 150 stores at least one process to perform operations and remembers user information input and data. The memory can store a large amount of data and can incorporate a database system. To ensure the smooth running of the dementia screening process, it can store personal information of users who have already undergone dementia screening and can store and manage a database of people in specific age groups (e.g., under 65 years old). Such a database of test subjects is sent to the processor 130, which can provide criteria for controlling the operation of the computing device 300 so that only those above a certain age can undergo dementia screening. It can also continuously update, store, and manage the screening results and history of individuals included in the test subject database. By excluding those with recent screening history and selectively sending AI calls only to those who actually need screening, meaningless calls can be prevented. The computing device 300 can also manage the test subject database stored in memory 150 and initiate AI-controlled dementia screening calls only to those who do not have a screening history within a pre-set period.

[0071] The communication module 160 plays a role in enabling the computing device 300 to communicate with at least one of the dementia patient terminal 100 and the guardian terminal 200. By communicating with at least one of the dementia patient terminal 100 and the guardian terminal 200, it can provide the dementia examination process, transmit question voices to at least one of the dementia patient terminal 100 and the guardian terminal 200, receive answer voices from at least one of the dementia patient terminal 100 and the guardian terminal 200, and transmit the results of the dementia examination process. It may include at least one of a short-range communication module, a wired communication module, and a wireless communication module, and is capable of simultaneous voice communication and data communication. For example, the short-range communication module may include various modules that transmit and receive signals using a wireless communication network at short range, such as a Bluetooth module, an infrared communication module, an RFID communication module, a WLAN communication module, an NFC communication module, and a Zigbee communication module. Wired communication modules may include various wired communication modules such as local network infrastructure (LAN) modules, wide area network (WAN) modules, or value-added network (VVAN) modules, as well as various cable communication modules such as USB, HDMI®, DVI, RS-232, power line communication, or POTS. Wireless communication modules may include modules that support a variety of wireless communication methods, such as WiFi modules, GSM, CDMA, WCDMA®, UMTS, TDMA, LTE, and 5G.

[0072] The STT module 170 refers to a module that converts speech to text. See Figure 5 for details. The STT module 170 can include various STT engines, such as the Google Speech-to-Text API, Microsoft Azure Speech API, IBM Watson Speech to Text, and Naver Clova Engine. Each STT model operates based on its own unique algorithm and training data for converting speech to text, and can provide different results. By configuring multiple such STT models, more accurate text conversion can be achieved, even for speech containing specific pronunciations, intonations, or background noise. The STT module 170 applies three or more STT models and compares the text results obtained from each model.

[0073] In this process, the text words generated by each STT model are listed, identical or similar results are checked, and the words or phrases that make up the majority of the converted text are selected. For example, if two or more models generate the same word when converting the same response audio, that result is considered accurate. The text selected by majority vote is recognized as a highly reliable result and is reflected in the subsequent dementia testing process. The final text conversion result selected by majority vote is used as part of the dementia testing process, and the converted text forms the basis for test scoring as the output result of the STT module 170. The STT module 170 analyzes the content of the user's response audio through accurate text conversion, evaluates each response audio, and scores it. This scoring result is used as the basis for judgment in the dementia testing process and functions as an important element in evaluating the user's cognitive ability, verbal memory, expressive ability, etc.

[0074] Figure 2 is an illustrative diagram of the inspection process of a dementia testing device according to one embodiment of the present invention.

[0075] As shown in Figure 2, dementia testing according to one embodiment of the present invention may be performed by conducting a question-and-answer session for dementia testing with at least one of the dementia patient terminal 100 and guardian terminal 200 connected to the artificial intelligence call, and by converting the voice responses obtained from at least one of the user's dementia patient terminal 100 and guardian terminal 200 into text data and analyzing it.

[0076] First, the dementia testing device (100, see Figure 1), upon receiving an inbound request from at least one of the dementia patient terminal 100 and the guardian terminal 200, which includes first data including a request for a dementia test, makes an artificial intelligence call to at least one of the dementia patient terminal 100 and the guardian terminal 200 of the person being tested, in accordance with the inbound request. The computing device 300 conducts a dementia test based on voice question and answer via at least one of the user's dementia patient terminal 100 and guardian terminal 200 to which the artificial intelligence call is connected, and can acquire the voice responses of the person being tested through at least one of the dementia patient terminal 100 and the guardian terminal 200 during the test and transmit them to the computing device 300.

[0077] The computing device 300 can convert the voice responses of the test subject, received from at least one of the user's dementia patient terminal 100 and guardian terminal 200, into text data using the STT module 170. However, the voice responses of the test subject may include not only words intended to answer questions presented during the dementia test, but also utterances not intended to answer questions, such as interjections and monologues. For example, referring to the text data converted from the voice responses shown in Figure 2, the voice responses may include words such as "dog," "cat," "what happened," and "horse." Here, "dog," "cat," and "horse" are words intended to answer questions presented during the dementia test and can be used meaningfully in the analysis of the test content. On the other hand, "what happened" is classified as monologue not intended to answer a question and does not contribute to the analysis of the test content. Words classified as monologues are processed as noise and are not included in the process of calculating the dementia test score. The computing device 300 can improve the efficiency and accuracy of the test by extracting and analyzing only the words from the text data that can be significantly used for analyzing the test content.

[0078] The computing device 300 calculates a numerical value that can determine whether a person being tested has dementia or the severity of their dementia symptoms based on the extracted words. By comparing and analyzing the numerical value with a pre-stored database of test groups, the computing device 300 can determine whether the person being tested needs to visit a testing facility for further testing.

[0079] Figure 3 is a conceptual diagram showing a portion of the inbound requests for a dementia testing device according to one embodiment of the present invention.

[0080] The dementia screening process of the inbound computing device 300 is initiated by first data, which includes a dementia screening request. This first data can be generated by various forms of inbound requests 300. For example, it can be collected by one or more of the following methods: making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app push notification, touching an NFC tag, or entering data into a kiosk. The first data is often generated by at least one of a dementia patient terminal 100, such as a smartphone, and a guardian terminal 200, owned by the user attempting to participate in the dementia screening. However, it may also be generated by other devices such as a desktop PC, kiosk, or computer with an input device connected, and transmitted to the computing device 300. At least one of the dementia patient terminal 100 and guardian terminal 200 may be a mobile device owned by the person being screened, or it may be a tablet PC, desktop PC, kiosk, or computer with an input device connected.

[0081] Since the first data is generated by a user who possesses at least one of the dementia patient terminal 100 and the guardian terminal 200, if not properly controlled, there is a risk that the server may crash or the network may become paralyzed due to an excessive dementia testing process. Excessive inbound requests can lead to budget waste and have a significant impact on the operation of dementia management services. Therefore, the stage of confirming the person to be tested (S111 in Figure 4) is essential, and inbound dementia testing devices need to process "dementia testing requests" precisely. In order to prevent repeated dementia testing request signals, it is necessary to analyze information on at least one of the dementia patient terminal 100 and guardian terminal 200 from which the first data was generated and transmitted, and to determine whether it is the same inbound request 300 from the same user.

[0082] Inbound requests 300 can be sent to the computing device 300 by various methods, such as making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app push notification, touching an NFC tag, or entering information at a kiosk. Therefore, it is necessary to determine whether the requests are from the same user, and this determination may require second data and consent for personal information. Inbound requests 300 are generated by at least one of the dementia patient terminal 100 and the guardian terminal 200, and at least one of the dementia patient terminal 100 and the guardian terminal 200 is a communication-connected device such as a smartphone, computer, kiosk, or tablet PC. Therefore, by analyzing the unique protocol for communication, reference information can be obtained to determine whether the requests are from the same user based on unique addresses such as MAC addresses.

[0083] Figure 4 is a flowchart illustrating a part of a dementia testing method based on inbound requests according to one embodiment of the present invention.

[0084] As shown in Figure 4, a dementia testing method according to one embodiment of the present invention may include an inbound request stage (S110), a stage to confirm whether or not the person is a subject of testing (S111), a stage to provide guidance voice (S120), a first testing progress stage (S151, S153), a second testing progress stage (S171, S173, S173), a testing content analysis stage (S181), and a testing result transmission stage (S191).

[0085] The inbound request stage (S110) is the stage for collecting first data, including the user's dementia test request. The dementia test process of the inbound computing device 300 is initiated by first data, including the dementia test request. The first data may be collected by one or more of the following methods: making a phone call, scanning a QR code, entering a web address, sending an SMS message, touching an app push notification, touching an NFC tag, or entering data into a kiosk. The first data is often generated by at least one of the dementia patient terminal 100 and the guardian terminal 200, such as a smartphone, owned by the user who intends to participate in the dementia test. However, it may also be generated by a desktop PC, kiosk, computer with an input device connected, etc., that is not a smartphone, and transmitted to the computing device 300. At least one of the dementia patient terminal 100 and the guardian terminal 200 may be a mobile device owned by the person being tested, or it may be a tablet PC, desktop PC, kiosk, or computer with an input device connected. From the perspective of computing device 300, "dementia test requests" are received preferentially, and are therefore referred to as "inbound requests."

[0086] The step of confirming whether or not a person is eligible for testing (S111) is a step to prevent repeated requests for dementia testing by the same user. While it is possible for the same user to obtain dementia test results at regular intervals using the computing device 300 according to one embodiment of the present invention and confirm whether their dementia has improved, in the case of dementia tests conducted by dementia management organizations and medical institutions, budgets are limited, so it is necessary to prevent repeated testing by the same person in advance. Furthermore, since it is necessary to conduct dementia tests targeting potential dementia patients above a certain age in each administrative area, the step of confirming whether or not a person is eligible for testing (S111) allows only users above a certain age to proceed with the dementia testing process.

[0087] The guidance voice provision stage (S120) is the stage in which the computing device 300 provides guidance voice to the user who is subject to dementia testing, via at least one of the dementia patient terminal 100 and the guardian terminal 200. In one embodiment, the guidance voice may include in the first part information of the person being tested (recipient), testing institution information, testing solution (program) information, and reward information provided upon completion of the test. At this time, the person being tested (recipient) information is identified based on the first and second data obtained in the aforementioned inbound request stage and inserted into the guidance voice, thereby providing customized guidance voice for each person being tested. This can improve the test participation rate and test completion rate of people being tested who receive an AI call. After the guidance voice is provided, the dementia test may proceed, and the dementia test may consist of a first test and a second test which are carried out sequentially.

[0088] The first stage of the examination (S151, S153) is the stage in which the first examination, which is a practice examination, is conducted to improve the level of understanding of the examination procedure of the examinee (the recipient of at least one of the dementia patient terminal 100 and the guardian terminal 200). The first stage of the examination may include the stage in which the computing device 300 provides a first question audio to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S151), and the stage in which the computing device 300 obtains a first answer audio from at least one of the dementia patient terminal 100 and the guardian terminal 200 (S153).

[0089] Here, the first question audio may include an audio requesting an answer to the first topic during the first hour, and the first answer audio may include an audio of the test subject's response to the first question audio.

[0090] The person being tested can participate in the first test by answering the first question audio. The first answer audio is acquired via the sound acquisition unit of at least one of the dementia patient terminal 100 and the guardian terminal 200, and can be transmitted to the computing device 300 via the communication unit of at least one of the dementia patient terminal 100 and the guardian terminal 200.

[0091] In one embodiment, the first response audio obtained by the first test can be used as data to determine whether the person being tested correctly understands the test procedure. That is, the dementia testing method of the artificial intelligence call platform according to one embodiment of the present invention may further include a step of determining the degree of the person being tested's understanding of the test procedure based on the first response audio.

[0092] For example, the computing device 300 can calculate a comprehension score for the subject's understanding of the test procedure and decide whether or not to proceed with the test based on that score. Here, the "comprehension score" is a numerical value that represents the degree to which the subject understands the test procedure. As a specific example, the computing device 300 can calculate the comprehension score based on the ratio of the word audio corresponding to the first question audio in the first response audio to the other audio, and if the calculated comprehension score is less than a preset value, the second test can be not conducted.

[0093] As another example, the computing device 300 calculates a comprehension score based on the number of words the test subject answered to the first theme presented in the first test, and if the calculated comprehension score is less than a preset value, the second test may not be administered. If the computing device 300 determines that the test subject does not correctly understand the test procedure and therefore does not administer the second test, it may, but is not limited to, providing audio guidance on the test procedure or proceeding with scheduling a subsequent test.

[0094] In this case, the computing device 300 may, but may not be, provide voice guidance on the examination procedure or proceed with scheduling subsequent examination appointments.

[0095] In another embodiment, the step of acquiring the first response audio from at least one of the dementia patient terminal 100 and the guardian terminal 200 during the first test progression stage may be omitted. Since the first test is a test to improve understanding of the test progression method and is not used as material to judge the verbal fluency of the test subject, the acquisition of the response audio for the first test can be omitted. This reduces the total amount of data transmitted and received during the test progression process.

[0096] The second stage of the examination (S171, 473?S173?) is the stage in which the main examination, the second examination, is conducted and voice data is obtained to determine the presence or absence of dementia and the level of symptoms.

[0097] Referring to Figure 4, the second stage of the examination may include the step of the computing device 300 providing a second question audio to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S171), and the step of the computing device 300 obtaining a second answer audio from at least one of the dementia patient terminal 100 and the guardian terminal 200 (S173).

[0098] Here, the second question audio may include an audio requesting an answer to the second topic during the second time period, and the second answer audio may include an audio of the test subject's response to the second question audio.

[0099] The person being tested can participate in the second test by answering the second question audio. The second answer audio is acquired via the sound acquisition unit of at least one of the dementia patient terminal 100 and the guardian terminal 200, and can be transmitted to the computing device 300 via the communication unit of at least one of the dementia patient terminal 100 and the guardian terminal 200.

[0100] The examination content analysis stage (S181) is the stage in which the computing device 300 analyzes the examination content based on the second response voice obtained from at least one of the dementia patient terminal 100 and the guardian terminal 200.

[0101] In the test content analysis stage (S181), the dementia test module (120, see Figure 1) of the computing device 300 can convert the second response audio received from at least one of the dementia patient terminal 100 and the guardian terminal 200 into text data, calculate a language fluency value based on the converted text data, and analyze the test content. Specifically, the test content analysis stage (S181) may include the steps of: converting the second response audio received from at least one of the dementia patient terminal 100 and the guardian terminal 200 into text data; extracting at least one word corresponding to the second theme of the second test from the converted text data; calculating a language fluency value based on the extracted at least one word corresponding to the second theme; comparing and analyzing the calculated language fluency value with a preset standard value; and determining that the person is eligible for a subsequent test if the language fluency value is smaller than the preset standard value, and determining that the person is not eligible for a subsequent test if the language fluency value is equal to or greater than the preset standard value.

[0102] The step of calculating the verbal fluency score may include applying a scoring criterion to at least one of the following: total word count, number of words in the first half, number of words in the second half, number of characters per word, number of category changes, number of words per category, and number of duplicate words. Furthermore, the pre-set baseline values ​​for comparing the calculated verbal fluency scores may be set discriminately for each test group classified based on supplementary information including at least one of the following: gender, age, education level, and number of people living together. The calculated verbal fluency scores can be compared and analyzed against the baseline values ​​set for the group to which the test subject belongs.

[0103] On the other hand, in one embodiment, the examination content analysis stage (S181) may further include a step of analyzing changes in speech style based on the existing examination data of the examination subject and the second response voice obtained in the current examination, when the examination subject has an examination history, i.e., at least one of the dementia patient terminal 100 and the guardian terminal 200 to which the AI ​​Call is connected has an examination history. Here, "speech style" includes, but is not limited to, speech speed and pronunciation accuracy.

[0104] The dementia testing module (120, see Figure 1) of the computing device 300 analyzes the speech style of the second response voice obtained in the current test and compares it with data analyzing the speech style of response voices obtained in existing tests to calculate a speech style change value. The dementia testing module 120 of the computing device 300 can determine that a person should undergo a follow-up test if the speech style change value is greater than or equal to a specific value (a pre-set value). In addition, the dementia testing module 120 of the computing device 300 can also determine that a person should undergo a follow-up test if the difference between the language fluency value calculated in the existing test and the language fluency value calculated in the current test is greater than or equal to a specific value (a pre-set value). This allows for follow-up tests to be conducted not only based on the absolute magnitude of language fluency, but also when language fluency has relatively decreased compared to the time of the existing test, thereby preventing a rapid deterioration of symptoms.

[0105] In one embodiment, the test content analysis stage (S181) may further include a stage of determining the degree of understanding of the test procedure based on the first response audio. Specifically, the computing device 300 can analyze the first response audio to determine whether the test subject fully understands the test procedure and is responding accordingly, or whether they are responding with answers unrelated to the test content without understanding it. For example, if the test subject responds with a predetermined number or more words related to the first theme presented in the first test, the computing device 300 can determine that the test subject correctly understands the test procedure; otherwise, it can determine that the test subject does not correctly understand the test procedure.

[0106] Even if the language fluency value calculated by analyzing the second response audio is below a preset threshold, the computing device 300 does not immediately determine that the subject is a candidate for further testing if the comprehension value of the test procedure calculated by analyzing the first response audio is below a specific value (a preset value). Instead, it can conduct a retest after reinstructing the test procedure. This makes it possible to distinguish between test subjects who actually have high language fluency (no dementia symptoms) but obtain a low language fluency value due to a lack of understanding of the test procedure, thereby improving the accuracy of the test.

[0107] The test result transmission stage (S191) is the stage in which the test results analyzed in the test content analysis stage (S181) are transmitted to at least one of the dementia patient terminal 100 and the guardian terminal 200.

[0108] In one embodiment, the test results may be sent in message format, and the message may include a link to view the test results. The method of sending the test results is not limited to the above example and may be provided in various forms such as telephone, mail, or message. Furthermore, the recipient of the test results is not limited to the person being tested, but may also be a cohabitant, guardian, or other person around the person being tested.

[0109] In one embodiment, the test results may include whether or not the person is eligible for subsequent testing, and information predicting future symptoms. Here, the information predicting future symptoms is derived based on symptom information of similar groups of people who have similar supplementary information (e.g., age, sex, education level, number of people living together, etc.) to the person being tested, and may include the trend of decreasing verbal fluency scores over time, the progress of subsequent tests, etc.

[0110] Figure 5 is an illustrative diagram of the STT multiplexing process in a dementia testing device according to one embodiment of the present invention.

[0111] The processor 130 controls an STT module 170, which consists of one or more Speech-to-Text (STT) models. It applies three or more STT models to convert the response speech into text, compares the converted text words, selects the one that accounts for the majority of the converted text, and uses the selected converted text to score the results of the dementia test process. This is a kind of voting system to improve the accuracy of the STT process. In the case of elderly dementia test participants, pronunciation may be unclear, making accurate speech analysis difficult with existing STT engines. Therefore, it is desirable to use three or more STT engines to perform STT-to-Text conversion as the closest word. For example, if a dementia test participant pronounces "tiger," a particular STT engine might convert it to "nora." However, if the other two STT engines convert it to "tiger," the dementia test process can proceed by selecting the word "tiger" through a 1-to-2 majority vote. This is a process to improve the accuracy of the dementia test.

[0112] The following describes a system, apparatus, and method for improving the cognition of a target dementia patient, based on the dementia test results obtained, for example, from at least one of Figures 1 to 5 described above. In particular, the present invention aims to improve the cognition of a target dementia patient by providing one or more appropriate missions based on the dementia state of the target dementia patient in accordance with the dementia test results described above. Various embodiments relating to this are disclosed below.

[0113] First, in relation to the present invention, there are various types of dementia, each with different causes and symptoms. For example, Alzheimer's disease is the most common form of dementia, characterized by memory loss and gradual deterioration of cognitive function; vascular dementia is caused by cerebrovascular disease and can develop after a stroke; Lewy body dementia is caused by the accumulation of abnormal protein clumps called Lewy bodies in the brain and is characterized by hallucinations, motor impairment, and cognitive decline; frontotemporal dementia is caused by damage to nerve cells in the frontal and temporal lobes and is characterized by personality changes and impaired language ability; and alcoholic dementia is caused by prolonged excessive drinking and is characterized by memory loss and cognitive decline. Other types include Parkinson's disease dementia, Creutzfeldt-Jakob disease, and hydrocephalus. As such, the present invention aims to improve the cognition of target dementia patients by providing missions appropriate to each type of dementia, given that the causes and symptoms differ for each type.

[0114] Figure 6 shows a dementia patient cognitive improvement system according to one embodiment of the present invention.

[0115] Referring to Figure 6, the dementia patient cognitive improvement system 600 may be configured to include a first terminal 100, a second terminal 200, and a mission processing unit 600. In this case, the first terminal 100 may represent the terminal of the target dementia patient, and the second terminal 200 may represent the terminal 200 of the guardian of the target dementia patient. On the other hand, the mission processing unit 600 may be a computing device (for example, 300 in Figure 1), or a component thereof. However, for convenience in the following description, the mission processing unit 600 will be described as a computing device 600.

[0116] Referring to Figure 6, the first terminal 100, the second terminal 200, and the computing device 600 cooperate with each other to perform a variety of operations related to the mission accomplishment of the target dementia patient, such as processing, monitoring, and providing feedback.

[0117] As described above, the present invention aims to improve the cognition of target dementia patients through appropriate missions according to their dementia state, where dementia state is determined based on at least one of the following: the dementia patient's attributes, the degree of dementia (level or severity, etc.), the type of dementia, etc. On the other hand, when determining the dementia state, the performance or function of the terminal held by the dementia patient (e.g., sensors, etc.) may be further referenced in order to determine whether or not the mission can be performed.

[0118] In this invention, the computing device 600 provides a mission to the first terminal 100, and can comprehensively judge the target dementia patient's participation in the mission, the success or failure of the mission, etc., and award points accordingly. Such points may be associated with the difficulty level of the next mission, or they may be used as funds necessary for the target dementia patient to complete the mission, or as cash assets to meet the target dementia patient's private needs other than the mission. The nature or type of such points may be determined by the choice of the target dementia patient or their guardian.

[0119] The computing device 600 according to the present invention can, for example, generate and provide customized missions based on the current location (e.g., place of residence) of the target dementia patient or / or their guardian.

[0120] In the above, the selection of generated missions or requests for modifications to missions may be made by the parent or guardian. When a parent or guardian requests a modification of a mission, the computing device 600 can record that fact, determine whether a modification is necessary, the extent of the modification based on the decision, and modify the mission accordingly before re-providing it.

[0121] Alternatively, if the parent requests modifications to a selected mission, the computing device 600 can calculate the difficulty level of the mission and propose the time required to complete the mission and the points to be awarded upon completion. The parent may also revise and propose the time and points based on the proposal.

[0122] In this invention, a guardian refers to a legal guardian who is a family member, or a person with professional qualifications certified by a public institution. It is desirable that the computing device 600 conducts a thorough qualification review and authentication procedure for such guardians before registration. The computing device 600 may also disclose at least some of the guardian's personal information in various ways and allow a third party to review their qualifications. On the other hand, if the latter type of guardian is qualified, they can be registered to perform the role of guardian for multiple dementia patients.

[0123] According to the present invention, the computing device 600 can monitor the target dementia patient in real time through the first terminal 100 and other various IoT devices and CCTV, and if an emergency occurs to the target dementia patient during mission execution, it can notify not only the second terminal 200 but also dementia support centers, medical institutions, etc., of the emergency and request support.

[0124] Referring to Figure 6, the cognitive improvement system for dementia patients according to the present invention may have a structure in which a computing device 600 generates a mission and transmits it to a second terminal 200, and the second terminal 200 transmits it again to the first terminal 100. This is because even if the mission is transmitted directly to the target dementia patient, the actions of recognizing, selecting, and modifying it are not guaranteed. Furthermore, in the case of dementia patients, the patient's health and psychological state change moment by moment, making it difficult to directly determine what situation they are in, for example, whether they are currently in a state to perform the mission. Therefore, it is desirable to transmit the mission via a guardian or to transmit it simultaneously to both the target dementia patient and the guardian.

[0125] In the present invention, the missions are those that can be performed using the display, microphone, speaker, camera, GPS, accelerometer, gyro sensor, etc. of the first terminal 100, and may include various levels of missions that can induce cognitive improvement in dementia patients in their daily lives.

[0126] In this regard, the computing device 600 may obtain a mission template created by experts from, for example, a dementia support center, and provide it to the second terminal 200 so that the guardian can select it.

[0127] The computing device 600 can acquire, record, or store mission execution and status information. In this regard, the first terminal 100 can acquire mission execution status data of the target dementia patient in accordance with the execution of the mission (e.g., GPS, photography, etc.) and transmit and share this data with the second terminal 200, a mission management device (e.g., a dementia support center or medical institution), etc. When sharing the data, the computing device 600 can provide an interface that enables chat screens, video conferencing, etc., so that data communication related to the execution of the mission is possible between at least the second terminal 200 and the mission management device.

[0128] The computing device 600 can monitor various actions related to the mission performance of the target dementia patient in real time and execute emergency response measures. At this time, the computing device 600 can directly or indirectly monitor the patient's condition via the second terminal 200 and the dementia support center, etc., and can make emergency support requests in the event of an abnormal situation.

[0129] The computing device 600 can analyze the results of a target dementia patient's mission completion and provide feedback based on the analysis. For example, the computing device 600 can analyze mission completion data and provide a report to the guardian and the dementia support center, and recommend the target dementia patient's next customized mission in advance. If the patient successfully completes the mission, for example, within a set time, the computing device 600 can recommend a more difficult mission to the guardian than the one previously provided. The computing device 600 can also award points for success or failure in the mission, providing motivation not only for mission success but also for mission completion itself.

[0130] Next, we will explain in more detail each part of the dementia patient cognitive improvement system shown in Figure 6.

[0131] First, I will describe the configuration of the dementia patient terminal, specifically the first terminal 100, which carries out a mission to improve cognitive function and supports monitoring the condition of dementia patients.

[0132] The first terminal 100 may include at least one of the following: a point confirmation module 110, a voice analysis module 120, an abnormal behavior detection module 130, an environmental analysis module 140, a mission reception module 150, a route guidance module 160, a photo shooting management module 170, an emergency assistance request module 180, etc. Some of these modules may be integrated and implemented as a single component, and some functions may be implemented in application form.

[0133] The point confirmation module 110 is configured to allow target dementia patients to check the points awarded when they complete a mission. These points are intended to stimulate a sense of accomplishment and motivation in the target patients as they complete the mission.

[0134] The voice analysis module 120 is configured to analyze voice commands and responses of dementia patients and provide appropriate feedback, enabling the understanding of the patient's cognitive state through the analysis of their voice data.

[0135] The abnormal behavior detection module 130 is configured to detect when a dementia patient performs an unexpected action (e.g., leaving a specific area, prolonged inactivity), and recognizes when a patient exhibits abnormal behavior to promptly notify the guardian, dementia support center, or computing device 600.

[0136] The environmental analysis module 140 is configured to detect and analyze the environment (e.g., noise, temperature, location, etc.) of the location where a dementia patient is present, and to determine whether the environment is suitable for the patient to safely carry out their mission, thereby ensuring their safety.

[0137] The mission receiving module 150 is configured to receive missions set by the guardian and present them to the patient, guiding them to review the mission details and become ready to execute them. In this case, the guidance may be generated and provided by at least one of visual, auditory, or tactile configurations, or a combination thereof, depending on the dementia state of the dementia patient.

[0138] The route guidance module 160 is configured to provide a route to the mission location based, for example, on GPS, and is designed to support dementia patients in safely reaching their destination from their starting point through various means such as screens and voice prompts. In this case, the provided route may be the optimal route. Here, the optimal route is determined based on the dementia status of the target patient and does not simply mean the shortest route in terms of time, but may prioritize safety during the mission completion process. However, this optimal route may be modified at the discretion of the caregiver.

[0139] The photo-taking management module 170 is configured to manage the taking of photos and videos during the completion of a mission by a dementia patient and to send the results to the guardian, thereby confirming whether the dementia patient has completed the mission and providing visual data to the guardian, the dementia support center, or the computing device 600.

[0140] The emergency support request module 180 is configured to request support from guardians and dementia support centers when a dementia patient is in an emergency situation, and is designed to immediately send a notification signal via a button or voice command (e.g., an emergency request voice message). Furthermore, the emergency support request module 180 can also output the patient's current condition and information in speakerphone format to ask for help from those around them first, or perform this simultaneously with the notification signal.

[0141] Next, we will describe the configuration of the guardian terminal, or second terminal 200, which monitors the condition of the target dementia patient and performs mission management functions.

[0142] The second terminal 200 may include at least one of the following: a mission management module 210, a patient information management module 220, a patient status information module 230, a patient location management module 240, a mission progress confirmation module 250, an emergency contact support module 260, a data sharing module 270, a point management module 280, etc.

[0143] The mission management module 210 is configured to allow guardians to generate, modify, and delete missions that are suitable for dementia patients, and can receive missions provided by the Dementia Support Center or computing device 600 and modify them to suit the first terminal 100, and can set customized missions that are suitable for the patient's condition, the degree of dementia, and the guardian's and patient's local environment.

[0144] The patient information management module 220 is configured to manage personal information of dementia patients, dementia diagnosis results, etc., and the missions recommended by the mission management module 210 may change depending on the dementia diagnosis results. Here, the dementia diagnosis results are classified into CDR grades (e.g., 0, 0.5, 1, 2, 3, 4, 5) that represent the degree, level, or severity of dementia, as described later. Missions may be provided only to patients in grades 0 to 2, while missions may not be provided to those in grades 3, 4, and 5, or the lowest level mission may be uniformly and repeatedly provided up to a certain point. The patient information management module 220 is used as basic data for mission setting and monitoring, allowing confirmation of whether the patient's cognitive level has improved, and accordingly, the frequency of mission completion, the degree of cognitive improvement in relation to the missions, etc., can be grasped.

[0145] The patient status information module 230 is configured to monitor the real-time status of dementia patients (e.g., location, activity level, etc.) and can transmit notification signals if it detects the safety of dementia patients or the occurrence of abnormal behavior.

[0146] The patient location management module 240 is configured to allow guardians to check the current location of dementia patients based on GPS or other location information, and is intended to manage patients to ensure they do not deviate from the provided route or safe route while performing a mission. For example, if a patient leaves their home to perform a mission, checking the patient's location can be extremely important.

[0147] The mission progress confirmation module 250 is configured to allow confirmation of whether or not a dementia patient is performing the mission, the degree to which the mission is being performed, and whether or not the mission is completed. It can monitor the mission performance status of dementia patients and provide feedback based on the monitoring results.

[0148] The emergency contact support module 260 is configured to provide immediate contact via the dementia support center, medical institutions, or computing device 600 when a situation arises where a dementia patient requires assistance. It is designed to transmit not only voice calls but also information about the patient's location and situation. Guardians can receive information about the patient's current state and condition, and provide this information to the dementia support center, medical institutions, etc., via the computing device 600, enabling prompt follow-up.

[0149] The data sharing module 270 is configured to allow real-time sharing of patient status data with dementia support centers, medical institutions, etc., via the computing device 600. It can process data such as communication content between patients and guardians, patient status information, and situation information so that it can be shared with these institutions via the computing device 600. This allows information to be provided to dementia support centers, medical institutions, etc., enabling management of dementia patient status and analysis of mission outcomes through collaboration.

[0150] The point management module 280 is configured to manage points earned by patients or to set mission-specific rewards for dementia patients, with the aim of motivating patients to complete their missions.

[0151] Finally, we will describe a mission management device, i.e., a computing device 600, which, as a server or system, supports dementia patients and their guardians, and integrates and manages data to support cognitive improvement in the patients.

[0152] The computing device 600 may include at least one of the following: a patient management module 310, a patient location management module 320, an emergency situation response module 330, a report generation module 340, a guardian management module 350, a mission generation module 360, a mission execution management module 370, a mission statistics generation module 380, etc.

[0153] The patient management module 310 is configured to integrate and manage the condition, diagnostic information, and mission performance data of dementia patients, and can track the progression of dementia in dementia patients and analyze the data related thereto.

[0154] The Parent Management Module 350 manages parent information and allows parents to check matching information with patients (for example, the ability to manage multiple patients), the number of missions delivered to each dementia patient, and which missions were provided to which patients. Its purpose is to support parents in communicating with and supporting patients more smoothly.

[0155] The patient location management module 320 is configured to monitor and record the location data of dementia patients in real time. If a dementia patient deviates from a pre-designated route, it can immediately notify the guardian and adjust the management monitoring level to enhance support.

[0156] The emergency response module 330 is configured to send notification signals to other dementia support centers or medical facilities near the caregiver or dementia patient in the event of an emergency, and to provide response guidelines, with the safety of the dementia patient being the top priority.

[0157] The report generation module 340 is configured to generate activity reports based on mission completion data of dementia patients. This allows caregivers to understand what missions dementia patients were given and what the mission success rate was. It can also generate reports on the degree of cognitive improvement achieved by dementia patients and information on the frequency of mission provision by caregivers. This enables the provision of information based on the cognitive improvement results of the missions to patients, caregivers, dementia support centers, and medical institutions.

[0158] The Mission Generation Module 360 ​​is configured to automatically generate appropriate missions based on the dementia state of dementia patients, their attributes, and the circumstances of their guardians, and can recommend missions that maximize the cognitive improvement effect. In this case, the patient's attributes (or environment) may include, but are not limited to, at least one of the following: age, gender, education level, place of residence, hometown, religion, marital status (or guardian), income level (e.g., fixed income such as pension), general health status (presence or absence of other chronic diseases), presence or absence of allergies, level of safety in the surrounding area, difficulty of walking, and use of walking aids.

[0159] The Mission Execution Management Module 370 is configured to track the progress of dementia patients on their missions in real time, record whether the mission was successful or not, and provide feedback.

[0160] The mission statistics generation module 380 is configured to analyze patient activity outcomes and improvement effects based on cumulative data related to mission completion, and can be provided as a database for cognitive improvement plans for target dementia patients.

[0161] The aforementioned missions may or may not have a priority over each other, and each is weighted accordingly, with the weight varying depending on the degree of weighting. Furthermore, these can be linked to the points awarded.

[0162] As mentioned above, the computing device 600 can generate and provide missions according to the state of dementia.

[0163] For example, the computing device 600 can take into account the attributes of dementia patients when generating a mission, as will be described later.

[0164] When considering age as an attribute, it is desirable to take into account differences in the physical and cognitive abilities of dementia patients according to their age. For example, relatively simple missions with little physical burden may be suitable for elderly dementia patients. Younger dementia patients (in their 60s) may be given active missions such as "walk 1km and take pictures of the surrounding area," while older dementia patients (80s and older) may be given simpler missions such as "find a specific object in the house."

[0165] Gender is used as an attribute to set missions that reflect gender-specific interests and activity preferences. For example, female dementia patients could be given life-centered missions such as "Visit a traditional market and take pictures of cooking ingredients," while male dementia patients could be given hobby-centered missions such as "Find sports equipment related to their hometown."

[0166] Educational level can be used as an attribute to provide more complex information processing and problem-solving missions to individuals with higher educational levels, while providing simpler, visually-oriented missions to those with lower educational levels. For example, a highly educated dementia patient could be given a mission such as "solve a history quiz and send a photo of the results," while a less educated dementia patient could be given a mission such as "find a red object in the neighborhood and take a picture of it."

[0167] The attribute of place of residence is intended to provide missions that reflect, for example, the living environment, i.e., the environmental differences between urban and rural areas. For example, a dementia patient living in an urban area could be given a mission such as "take a picture of a receipt at a nearby cafe," while a dementia patient living in a rural area could be given a mission such as "take a picture of three types of vegetables in a home garden."

[0168] The "hometown" attribute is intended to induce emotional stability through reminiscence, for example, by stimulating memories related to one's hometown through missions. For instance, missions could include "visit a shop selling traditional hometown dishes and take photos" or "find a place that evokes the scenery of one's hometown (e.g., mountains, rivers)."

[0169] Religion, as an attribute, can be used to provide emotional stability and a sense of belonging to dementia patients through religious activities, for example. For instance, Christians could be given missions tailored to their religion, such as "attending a church service and taking photographs," Buddhists could be given missions like "visiting a temple and taking landscape photographs," and non-religious individuals could be given missions like "taking a walk in a nearby park and taking photographs of trees."

[0170] The presence or absence of a spouse (or guardian) is an attribute that, for example, provides additional support for mission completion if a guardian is present. Therefore, if there is no guardian, it is necessary to set a mission that can be completed independently. For example, a dementia patient with a spouse could be given a mission such as "Visit a cafe with your guardian and take pictures," while a dementia patient without a spouse could be given a mission such as "Walk a certain distance alone and take landscape photographs."

[0171] Income level is included as an attribute to help design missions, for example, by considering the costs required to complete them. For dementia patients with high incomes or sufficient assets, a mission such as "eat at a nearby restaurant and take a picture of the receipt" could be offered, while for those with relatively low incomes or insufficient assets, a mission such as "take a walk in a nearby park and take a picture of a bench" could be offered.

[0172] General health attributes (presence or absence of other chronic diseases) are used, for example, to limit the intensity of physical activity for dementia patients or to consider additional health-related missions. Dementia patients in good health can be given missions such as "take a 1km walk and take pictures of trees," while dementia patients in relatively poor health, such as those with chronic diseases, can be given missions such as "film a video of stretching at home."

[0173] Allergies as an attribute are used, for example, to avoid missions that involve allergens or to provide alternative missions. For example, dementia patients with allergies could be given a mission such as "find allergy-free ingredients and take pictures," while dementia patients without allergies could be given a mission such as "buy fruit at a nearby supermarket and take pictures."

[0174] The surrounding safety level is an attribute that allows for the design of indoor-centered missions in areas with high crime rates, and outdoor activity missions in areas with high crime rates. For example, dementia patients in areas with high crime rates could be given a mission such as "organizing and taking family photos at home," while dementia patients in areas with high crime rates could be given a mission such as "taking a 30-minute walk in a nearby park and taking photos."

[0175] The walking difficulty attribute is used to take into account factors such as areas with many hills, heavy traffic, and many stairs. A "high" walking difficulty can be defined as having to cross four or more pedestrian crossings to reach the destination on foot, a "medium" difficulty as having to cross one to three pedestrian crossings, and a "low" difficulty as being able to reach the destination on foot without crossing any pedestrian crossings. Such walking difficulty can influence the generation of appropriate missions.

[0176] The attribute of whether or not a walking aid is used to limit the distance traveled and the type of activity based on whether or not a walking aid is used. For example, dementia patients who use walking aids can be given a mission such as "walk 100m and take pictures of the surrounding area," while dementia patients who do not use walking aids can be given a mission such as "walk 500m or more and take pictures of the park."

[0177] As mentioned above, the computing device 600 can generate and provide missions according to the state of dementia.

[0178] For example, the computing device 600 can take into account the CDR (Chronic Disability Rating) of dementia patients when generating a mission, as will be described later.

[0179] The patient's CDR grade can be considered when generating a mission, and the CDR grade considered for mission generation can be combined with the aforementioned attributes to influence the mission.

[0180] First, in the case of CDR 0 (normal cognitive function), a mission such as taking a landscape photograph after walking in a park can be provided. To achieve this, the route guidance module 160 of the first terminal provides the patient with dementia with a route to travel, and after the patient moves to the destination (e.g., a park), the photo shooting management module 170 is used to take a landscape photograph of the park, and the mission can be confirmed as complete immediately by pressing the mission completion button or by taking the photograph. Therefore, the computing device 600 can award appropriate points when the patient with dementia walks along the designated route and sends a photograph. Meanwhile, the second terminal sets the location of the park with the mission management module 210 and can monitor the location of the patient with dementia in real time with the patient location management module 240. The computing device 600 acquires the patient's route and activity data in real time via the patient location management module 320, and when the patient completes the mission, this can be managed through the mission completion management module 370.

[0181] For example, if another mission is provided, such as "record your impressions after reading," the first terminal can check the mission details with the mission receiving module 150 and guide the dementia patient to record a simple impression (e.g., "It was interesting") using the voice analysis module 120 after reading. The computing device 600 can award points to the dementia patient when they submit their impressions via voice or other means. Meanwhile, the second terminal can check whether the dementia patient has completed the mission through the mission management module 210. The computing device 600 evaluates the presence or absence of emotional stability based on the voice data analysis results, records this in the patient management module 310, and can record it in the mission completion management module 370 when the mission is completed.

[0182] If another mission is provided, such as "Go to a traditional market and take pictures," the first terminal 100 can arrive at the traditional market via the route guidance module 160 and then use the photo-taking management module 170 to take pictures of the market. The computing device 600 can award points when the user reaches a designated location based on location information such as GPS and submits the photos. The second terminal 200 can check the progress of the mission via the mission progress confirmation module 250, check the patient's movement status via the patient location management module 240, and, if necessary, contact the dementia support center, medical institution, or computing device 600 via the emergency contact support module 260 to support the patient's safe return home. The computing device 600 monitors the patient's location via the patient location management module 320 and can record when the patient has completed the mission in the mission completion management module 370.

[0183] If another mission is provided, such as "Take a family photo after a video call," the first terminal 100 can make a video call with a third party designated by the second terminal 200 (e.g., family, relatives, friends), take a photo with that person, and submit it via the photo management module 170. The computing device 600 can award corresponding points upon completion of the video call and submission of the photo. The second terminal 200 can select a mission in the mission management module 210 and, in the process of assigning the mission to the first terminal 100, generate a mission to call a third party (e.g., family, relatives, friends) and make a video call. The computing device 600 can analyze the activity data and update the patient's emotional stability and family relationship data.

[0184] Next, I will explain the mission for individuals with CDR 0.5 (mild cognitive impairment).

[0185] First, when providing a mission such as "visit a pharmacy near your home," the first terminal 100 can travel to the pharmacy via the route guidance module 160, take a photo of the pharmacy entrance via the photo shooting management module 170, and send it. The computing device 600 can confirm the pharmacy visit using GPS and photos, and can award corresponding points when photos are submitted. The second terminal 200 can check the patient's movement status in real time via the patient location management module 240. The computing device 600 can record the pharmacy visit data in the patient location management module 320, supplementing the health management data.

[0186] If another mission is provided, such as finding an object of a specific color, the first terminal 100 can confirm the mission with the mission receiving module 150 and submit an object of the specified color (e.g., red) via the photo management module 170. If a photo that meets the color criteria is submitted, the computing device 600 can award points. After verifying the photo via the mission progress confirmation module 250, the second terminal 200 can complete the mission. The computing device 600 can record and analyze color recognition ability data in the patient management module 310. If yet another mission is provided, such as finding a park bench, the first terminal 100 can use the route guidance module 160 to search for a specific bench in the park and transmit the information via the photo management module 170. If the arrival at the bench is confirmed by GPS and photo, the computing device 600 can award corresponding points. The second terminal 200 can monitor the location of the dementia patient with the patient location management module 240. The computing device 600 can evaluate spatial cognitive ability based on movement path data, determine point accumulation and whether the patient's cognitive ability has improved via the patient management module 310, and record mission execution data in the mission execution management module 370.

[0187] Next, we will explain how missions are provided in the case of CDR 1 (mild cognitive impairment).

[0188] First, if a mission to find an object in a house is provided, the first terminal 100 can confirm the mission with the point confirmation module 110 and submit a specific object (e.g., a book) via the photo management module 170. The computing device 600 can award corresponding points when a photo of the object is submitted. The second terminal 200 can confirm the submitted photo with the mission progress confirmation module 250. The computing device 600 can determine the accumulation of points and whether the patient's cognitive ability has improved via the patient management module 310, and can record the mission completion data in the mission completion management module 370.

[0189] If another mission is provided, such as taking a photo with a guardian, the first terminal 100 can take a photo with the guardian and submit it via the photo-taking management module 170. The computing device 600 can award corresponding points when the photo is submitted. The second terminal 200 can have the guardian complete the mission together and transmit the results via the data sharing module 270. The computing device 600 can determine the accumulation of points and whether the patient's cognitive ability has improved via the patient management module 310, and can record the mission completion data in the mission completion management module 370.

[0190] If another mission is provided, such as a "short walk," the first terminal 100 can follow the route guidance module 160 to walk a short distance (e.g., 300m) and take landscape photographs. The computing device 600 can assign corresponding points when GPS data and photographs are submitted. The second terminal 200 can monitor the dementia patient's walking route in real time. The computing device 600 can record the dementia patient's movement data in the patient location management module 320.

[0191] If another mission is provided, such as taking a photo after tidying up, the first terminal 100 can tidy up a designated area in the house (e.g., desk, dining table, etc.) and then send the photo via the photo-taking management module 170. The computing device 600 can award corresponding points when a photo showing the tidied state is submitted. The second terminal 200 can provide photo verification and feedback data via the mission progress confirmation module 250. The computing device 600 can record the tidying activity data in the mission execution management module 370 and analyze the patient's spatial utilization ability.

[0192] Next, we will explain an example of mission provision in the case of CDR 2 (moderate dementia).

[0193] First, if a mission is provided to photograph a specific object inside the house, the first terminal 100 can verify the mission with the point verification module 110 and send a photo of the object specified by the guardian (e.g., a plate) via the photo shooting management module 170. The computing device 600 can award corresponding points when a photo of the specified object is submitted. The second terminal 200 can generate and verify missions with the mission management module 210. The computing device 600 can store the object recognition data in the mission execution management module 370 and track the progress of cognitive improvement.

[0194] If another mission is provided, such as one in which the patient performs a simple activity with their guardian, the first terminal 100 can perform the activity (e.g., assembling a puzzle) with the guardian and send a photo upon completion. The computing device 600 can award corresponding points when the activity completion photo is sent. The second terminal 200 can send the completion data through the activity support and data sharing module 270. The computing device 600 can analyze the emotional interaction data and evaluate the degree of interaction between the patient and the guardian.

[0195] If another mission is provided, such as a "short walk," the first terminal 100 can walk in a park near home with a guardian via the route guidance module 160 and send photos via the photo management module 170. The computing device 600 can award corresponding points when the patient moves along the designated route and submits photos. The second terminal 200 can monitor the dementia patient's movement in real time and ensure their safety. The computing device 600 can record and analyze the patient's physical activity data based on the dementia patient's movement route data.

[0196] If another mission is provided, such as selecting a favorite food, the first terminal 100 can, for example, view images of at least two types of food on an application and select its favorite food through the voice analysis module 120. The computing device 600 can award corresponding points when the data is submitted after the selection is complete. The second terminal 200 can provide the patient's preference data to the dementia support center or medical institution via the computing device 600 through the data sharing module 270 and provide feedback. The computing device 600 can analyze the food selection data and evaluate and record emotional responses and preferences.

[0197] Each of the aforementioned missions may or may not have a priority over the others, and each can be weighted, with the weight varying depending on the degree of that priority. This can also be linked to the points awarded.

[0198] As mentioned above, the computing device 600 can generate and provide missions according to the state of dementia.

[0199] For example, the computing device 600 can take into account the type of dementia patient when generating a mission, as will be described later.

[0200] When generating a mission, the computing device 600 can consider the type of dementia and combine it with at least one of the attributes of the dementia and the degree of dementia information from the CDR data.

[0201] The computing device 600 can more effectively improve cognitive function and quality of life by designing missions that take into account the cognitive and behavioral characteristics of patients according to their type of dementia.

[0202] First, in cases of Alzheimer's disease, memory loss and loss of sense of direction regarding time and place are frequently observed. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a memory stimulation mission (e.g., looking at a family photo and saying the names and relationships aloud), a route learning mission (e.g., following GPS directions to visit a dementia support center and then taking a photograph), a daily recollection mission (e.g., taking a photograph of a place you have visited in the past (e.g., an iconic place in your hometown) and submitting it), and a schedule management mission (e.g., checking the schedule displayed on the screen and completing the mission (e.g., pressing a notification button after taking medication)).

[0203] Next, in cases of vascular dementia, language impairment, mood swings, and physical activity difficulties are frequently observed. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a language practice mission (e.g., repeating words presented on the screen aloud), an emotional expression mission (e.g., recording the emotions felt after viewing a photograph (e.g., a natural landscape) displayed on the screen), a walking mission (e.g., submitting a landscape photograph after moving 100m using a walking aid), or an emotional stability mission (e.g., giving a brief impression after a religious activity (e.g., visiting a cathedral or temple)).

[0204] Next, if the type of dementia is Lewy body dementia, hallucinations, motor impairments, and sleep problems may occur frequently. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a visual recognition mission (e.g., find and name a specific object (e.g., an animal) from a picture displayed on the screen), a motor coordination mission (e.g., perform simple stretching movements and then send a completion photo), a music appreciation mission (e.g., listen to a song displayed on the screen through the speaker and then name the song), or a stable activity mission (e.g., complete a coloring book in a quiet environment and then submit a photo).

[0205] Next, if the type of dementia is frontotemporal dementia, a decline in social interaction, emotional expression, and behavioral changes may occur. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a social conversation mission (e.g., recording a conversation with a caregiver and submitting the audio data), an emotion recognition mission (e.g., describing facial expressions displayed on the screen (e.g., smiling, sadness)), a behavioral reinforcement mission (e.g., submitting a photo after performing household chores (e.g., tidying the table)), or a religious activity mission (e.g., submitting a photo and impressions after visiting a religious facility).

[0206] Next, if the type of dementia is Parkinson's disease dementia, slowness of movement, problems with verbal communication, and hand tremors may occur. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a simple motor mission (e.g., rolling a ball with your hands and taking a photograph), a verbal expression mission (e.g., recording and submitting a conversation with a caregiver), a fine motor mission (e.g., creating origami (simple shapes) and submitting a photograph), and an auditory response mission (e.g., listening to sounds displayed on the screen and identifying their names).

[0207] Next, in the case of mixed dementia, which presents with a combination of Alzheimer's disease and vascular dementia, the computing device 600 can provide at least one of the following as a customized mission: a memory and language mission (e.g., looking at a family photo, stating names and relationships, and then recording it), a walking and observation mission (e.g., taking a 200m walk, taking photos of surrounding objects and submitting them), a religious and emotional mission (e.g., giving feedback after a religious activity (e.g., listening to hymns)), and a daily functioning mission (e.g., pressing a completion button after taking medication).

[0208] Next, if the type of dementia is alcoholic dementia, problems with short-term memory and difficulty regulating emotions may occur. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a memory stimulation mission (e.g., say a word displayed on the screen after 10 seconds), an emotion management mission (e.g., record and submit your emotions after listening to your favorite music), a cognitive activity mission (e.g., find a nearby cafe and submit a photo of the receipt), or a health management mission (e.g., record (take a photo of) your fluid intake and submit it).

[0209] Furthermore, if the type of dementia is one of the types not listed above, a variety of symptoms may manifest depending on the specific cause. Therefore, the computing device 600 can provide at least one of the following as a customized mission: a feature-linked mission (e.g., actions tailored to the patient's specific symptoms (e.g., finger exercises to reduce hand tremors)), a spatial cognition mission (e.g., taking a picture of a specific location (bench) in a nearby park), a situation-response mission (e.g., searching for the location of a dementia support center and following the route), or a voice response mission (e.g., easily answering a question displayed on the screen (e.g., "How are you feeling today?")).

[0210] The customized missions exemplified above for each type of dementia may or may not have a priority order among themselves. In the former case, after one customized mission is provided, other missions may be provided based on the feedback received.

[0211] As mentioned above, the computing device 600 can generate and provide missions according to the state of dementia.

[0212] For example, the computing device 600 can take into account the attributes of dementia patients when generating a mission, as will be described later.

[0213] When generating a mission, information about the patient device (100) is used to generate the mission, and other data mentioned above can also be referenced.

[0214] First, if a mission is provided to take landscape photos after walking in a park, the first terminal 100 can display detailed mission information and the park's location, the GPS can provide the route to the park via the route guidance module 160, and the camera can take and transmit photos of the park scenery via the photo shooting management module 170. In the second terminal 200, the mission progress confirmation module 250 can check the patient's movement status and photo transmission, and the patient location management module 240 can monitor in real time to prevent the patient from deviating from the route. In the computing device 600, the patient location management module 320 can record the walking route based on GPS data, and the report generation module 340 can generate a report based on the patient's movement and activity data.

[0215] If another mission is provided, such as "find a specific object (e.g., a red object)," the first terminal 100 displays the item information required for the mission, and the camera can take a picture of the red object and submit it using the photo management module 170. In the second terminal 200, the mission management module 210 generates the mission and sets the item information, and the data sharing module 270 can share the photo data sent by the patient with the dementia support center. Meanwhile, in the computing device 600, the mission execution management module 370 analyzes the submitted data to determine whether the mission was successful, and the mission statistics generation module 380 can generate and record statistics related to color recognition ability.

[0216] Furthermore, if another mission is provided, such as taking a photograph after visiting a pharmacy, the first terminal 100 uses GPS to guide the user to the pharmacy location via the route guidance module 160, and the camera can take and submit a photograph of the pharmacy entrance via the photo shooting management module 170. In the second terminal 200, the patient location management module 240 monitors the patient's movement in real time, and the mission progress confirmation module 250 checks whether a photograph has been submitted and can process the mission as complete. Meanwhile, in the computing device 600, the emergency situation response module 330 emits a notification signal if abnormal behavior occurs near the pharmacy, and the report generation module 340 can record and analyze the patient's pharmacy visit data.

[0217] If another mission is provided, such as checking the number of steps after walking 1 km, the first terminal 100 can use an accelerometer to measure the distance traveled and the number of steps and reflect this in the route guidance module 160, and the display can show the number of steps and distance traveled in real time. In the second terminal 200, the patient status information module 230 can check the patient's step count data in real time, and the point management module 280 can award points upon completion of the mission. Meanwhile, in the computing device 600, the mission statistics generation module 380 can collect distance traveled and step count data and generate statistical data on physical activity.

[0218] Furthermore, if another mission is provided, such as sending photos after a video call with family, the first terminal 100 can analyze the content of the conversation during the video call via the voice analysis module 120 using its microphone / speaker, and the camera can take and submit family photos after the video call. In the second terminal 200, the emergency contact support module 260 can maintain the video call with the patient, and the data sharing module 270 can provide the call data and photo submission information to the dementia support center via the computing device 600. Meanwhile, the computing device 600 can analyze and record emotional interaction data of the dementia patient using its report generation module 340.

[0219] In another mission, if a user is given the task of organizing specific items at home and then taking photographs, the first terminal 100 can display information on the items to be organized and the organization method, and the camera can capture and transmit the organized state via the photo management module 170. In the second terminal 200, the mission management module 210 can set the type of items and organization criteria, and the mission progress confirmation module 250 can check the submitted photographs and process the mission completion. Meanwhile, in the computing device 600, the mission execution management module 370 can analyze the organization status of the items and generate a report.

[0220] If another mission is provided, such as identifying the names of trees in a park, the first terminal 100 can display photos of trees and options, and its microphone can record the names of the selected trees via the voice analysis module 120. In the second terminal 200, the mission management module 210 generates the mission and sets the options, and the data sharing module 270 can share the selected data with the dementia support center via the computing device 600. Meanwhile, the computing device 600's mission statistics generation module 380 can record and analyze plant recognition data.

[0221] Furthermore, if another mission is provided, such as visiting a traditional market and purchasing goods, the first terminal 100 can use GPS to guide the user to the market location via the route guidance module 160, and its camera can take and transmit photos of the purchased items. In the second terminal 200, the patient location management module 240 can confirm whether the dementia patient has visited the market, and the point management module 280 can award points upon successful completion of the mission. Meanwhile, the computing device 600 can record market visit and purchase data using the report generation module 340.

[0222] Furthermore, if another mission is provided to record ambient sounds, the first terminal 100 can record and submit ambient sounds via the audio analysis module 120 using its microphone, and the display can provide information on the recording status and progress. The second terminal 200 can use the mission progress confirmation module 250 to check the recording data and manage the submission status. Meanwhile, the computing device 600 can use the report generation module 340 to record environmental analysis data based on the recording data.

[0223] Furthermore, if another mission is provided, which involves recording the contents of a day's meals and then submitting photos, the first terminal 100 can use its camera to take and send photos of meals before and after eating, and its display can check data regarding the mission status and whether the meals have been submitted. In the second terminal 200, the mission progress confirmation module 250 checks the photos and provides feedback data, and the data sharing module 270 can share the meal data with the dementia support center via the computing device 600. Meanwhile, the computing device 600's mission execution management module 370 can analyze the meal data and record data on the health status of dementia patients.

[0224] Figure 7 shows an example of a cognitive improvement device for dementia patients according to one embodiment of the present invention. The cognitive improvement device for dementia patients in Figure 7 corresponds to, for example, the computing device 600 in Figure 6, or can constitute a part thereof. Therefore, for convenience, it will be described below as the computing device 600.

[0225] Referring to Figure 7, the computing device 600 may broadly include a processor and a memory module 770. In this case, the processor may include a dementia state recognition module 710, a mission generation module 720, a mission execution monitoring module 730, a mission execution analysis module 740, a transmission module 750, and a control module 760. However, the memory module 770 does not necessarily have to be an internal component of the computing device 600; it can be externally provided and can work in conjunction with the processor or computing device 600.

[0226] Figure 7 illustrates the concept from the perspective of the computing device 600, and the previously mentioned content can be referenced.

[0227] The dementia state recognition module 710 can acquire information about the dementia state of dementia patients, such as the attributes of dementia, the degree of dementia, the type of dementia, and other dementia-related information, and make judgments based on that information, that is, it can recognize and judge the dementia state of the target dementia patient.

[0228] The mission generation module 720 can generate mission data corresponding to the dementia state of a target dementia patient recognized and judged by the dementia state recognition module 710. Such generated mission data can be transmitted to the second terminal 200 and / or the first terminal 100 via the transmission module 750, under the control of the control module 760.

[0229] The mission execution monitoring module 730 collects and analyzes data to monitor the mission execution of dementia patients in relation to the transmitted mission data. This data may be collected from the first terminal 100 or / or the second terminal 200.

[0230] The Mission Execution Analysis Module 740 can analyze the content of mission execution performed by dementia patients based on the results of mission execution monitoring.

[0231] The control module 760 can control the overall operation of the processor or computing device 600.

[0232] In relation to the present invention, the memory module 770 can temporarily store data that has been processed by a processor or computing device 600, such as by collecting, acquiring, or processing it.

[0233] Figures 8 to 11 are flowcharts illustrating a method for improving cognitive function in dementia patients according to embodiments of the present invention. Figure 12 is an example of a user interface related to a mission provided to dementia patients.

[0234] First, referring to Figure 8, the computing device 600 can operate as follows:

[0235] The computing device 600 can collect data on target dementia patients through artificial intelligence calls (S210).

[0236] The computing device 600 can identify the dementia status based on the collected data of the target dementia patient (S220).

[0237] The computing device 600 can generate appropriate mission data according to the dementia status of the identified target dementia patient (S230).

[0238] The computing device 600 can transmit the generated mission data to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S240).

[0239] The computing device 600 can obtain feedback data for the transmitted mission data from at least one of the dementia patient terminal 100 and the guardian terminal 200 (S250).

[0240] The computing device 600 can analyze whether or not there has been cognitive improvement in the target dementia patient based on the feedback data (S260).

[0241] The computing device 600 can transmit the analysis results to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S270).

[0242] Next, referring to Figure 9, the computing device 600 can perform the following operations.

[0243] The computing device 600 can identify the type of dementia in the target dementia patient (S310).

[0244] The computing device 600 can generate first mission data according to the type of dementia of the identified target dementia patient (S320).

[0245] The computing device 600 can further identify at least one of the dementia attributes and the degree of dementia of the target dementia patient (S330).

[0246] The computing device 600 can determine the suitability of the first mission data based on at least one of the attributes of dementia and the degree of dementia (S340).

[0247] If the computing device 600 determines, as a result of the conformity assessment, that the first mission data is unconformable, it can generate second mission data based on at least one of the dementia attributes and the degree of dementia of the identified target dementia patient (S350).

[0248] The computing device 600 can transmit the generated mission data to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S360).

[0249] Next, referring to Figure 10, the computing device 600 can operate as follows:

[0250] The computing device 600 can identify the dementia status of the target dementia patient (S410).

[0251] The computing device 600 can generate nth mission data (where n is a positive integer) according to the dementia status of the identified target dementia patient (S420).

[0252] The computing device 600 can transmit the generated nth mission data to at least one of the dementia patient terminal 100 and the guardian terminal 200 (S430).

[0253] The computing device 600 can acquire feedback data from at least one of the dementia patient terminal 100 and the guardian terminal 200 (S440).

[0254] The computing device 600 can analyze feedback data for the nth mission data (S450).

[0255] The computing device 600 can determine whether the data for the nth mission is suitable based on the analysis results (S460).

[0256] In this case, if the determination result and the nth mission data are not suitable, the computing device 600 may restart (1000) from step S410 or S420. This can be continued and repeated until appropriate mission data is found.

[0257] The computing device 600 can match and record target dementia patients, identified dementia status, mission data, feedback data, and analysis results (S470).

[0258] Finally, referring to Figure 11, the computing device 600 can operate as follows:

[0259] The computing device 600 can identify the dementia status of the target dementia patient (S510).

[0260] The computing device 600 can generate first mission data corresponding to the dementia status of the identified target dementia patient (S520).

[0261] The computing device 600 can transmit the generated first mission data to the parent terminal 200 (S530).

[0262] The computing device 600 can obtain feedback data regarding the first mission data from the parent terminal 200 (S540).

[0263] The computing device 600 can determine whether or not the data for the first mission needs to be modified based on the feedback data (S550).

[0264] If, in the judgment result at stage S550, the computing device 600 has made corrections to the feedback data acquired by the parent terminal 200, it can generate second mission data based on that feedback data (S560).

[0265] The computing device 600 can transmit the generated mission data to the dementia patient terminal 100 and the guardian terminal 200 (S570).

[0266] Figure 12 shows an example of a user interface 1200-800 provided to the first or second terminal (100 or 200) when mission data such as "Take a picture of one carrot at the mart" is generated.

[0267] The contents briefly explained in Figures 8 to 11 can be referenced from the contents described in at least one of Figures 1 to 7 mentioned above. The order or steps shown in Figures 8 to 11 may be performed in a different order or procedure than those shown. In addition, at least some of the orders or steps in Figures 8 to 11 may be combined or linked with the orders or steps in other drawings.

[0268] Steps of the methods or algorithms described in relation to embodiments of the present invention may be implemented directly by hardware, as software modules executed by hardware, or in combination thereof. The software modules may reside on 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 any form of computer-readable recording medium known in the industry.

[0269] Embodiments of the present invention have been described above with reference to the attached drawings. However, those skilled in the art will understand that the present invention can be implemented in other specific forms without altering the technical idea or essential features of the present invention. Therefore, the embodiments described above are illustrative in all respects and should not be interpreted as limiting.

Claims

1. A device for improving cognitive function in dementia patients, Memory for storing diverse mission data, The system includes a processor that communicates with the memory to send and receive data, The aforementioned processor, Through artificial intelligence calls, dementia tests are conducted on the aforementioned dementia patients and the results of the dementia tests are collected. Based on the results of the dementia examination, the dementia status of the dementia patient is obtained, and the dementia status includes the attributes of dementia, the degree of dementia, and the type of dementia. Select a first mission data for improving the cognitive function of the dementia patient according to the dementia state, and transmit the first mission data to at least one of the dementia patient's terminal and the guardian's terminal. The system receives feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal. When conducting the aforementioned dementia test, the usage patterns of applications installed on the dementia patient's terminal are analyzed to selectively provide the type of dementia test, and if the dementia patient frequently uses the news application among the applications, the dementia test is conducted on a topic related to current events. The system collects location information from the dementia patient's terminal, confirms the frequency of the dementia patient's outings or changes in location, and based on the confirmation results, determines the patient's behavior and adjusts the difficulty level of dementia tests related to cognitive function. The aforementioned attributes include age, gender, education level, place of residence, hometown, marital status, income level, presence or absence of allergies, and use of walking aids. The aforementioned processor, When selecting the first mission data, a mission is selected that reflects the areas of interest and activity preferences according to gender. In light of the aforementioned educational level, the missions are selected considering the type and difficulty of the problems. Based on the aforementioned place of residence, select a mission that reflects the environmental differences between urban and rural areas. Based on the aforementioned hometown, a mission is selected to stimulate the dementia patient's memories related to their hometown. Based on whether or not you have a spouse, select a mission that can be carried out together with your spouse. Based on the aforementioned income level, a mission is selected considering the costs necessary to carry out the mission. Based on the aforementioned allergies, the mission is selected in such a way that allergy-inducing substances are avoided during the mission. Select a mission to limit the distance traveled and the type of activity of the dementia patient based on whether or not the aforementioned walking aid is used. If the type of dementia is Alzheimer's disease, select a mission that stimulates memory. If the type of dementia is vascular dementia, the player selects a mission to repeat a word displayed on the screen aloud and a mission to express an emotion. If the type of dementia is Lewy body dementia, the user can choose between a visual recognition mission where they find and name a specific object from pictures displayed on the screen, and a mission where they listen to music and then name the song. If the type of dementia is frontotemporal dementia, the child must select at least one of the following missions: recording a conversation with a caregiver and submitting the audio data; describing the facial expressions displayed on the screen; or submitting a photograph after completing household chores. If the type of dementia is Parkinson's disease dementia, the device selects at least one of the following missions: rolling a ball with one's hands and taking a photograph, recording a conversation with a guardian and submitting it, or performing fine motor skills and submitting a photograph.

2. The aforementioned processor, The apparatus according to claim 1, wherein the apparatus analyzes whether or not the cognitive function of the dementia patient has improved based on the feedback data, and transmits the analysis results to at least one of the dementia patient's terminal and the guardian's terminal.

3. The aforementioned processor, The apparatus according to claim 1, which determines whether the first mission data is suitable for the dementia patient based on the feedback data.

4. The aforementioned processor, The apparatus according to claim 1, characterized in that, if the feedback data includes a request for modification to the first mission data, it generates and provides second mission data based on the feedback data.

5. The aforementioned processor, If the feedback data includes information regarding the execution of the first mission data, The apparatus according to claim 4, which awards points according to the degree to which the mission has been performed and whether or not it has been completed.

6. The types of dementia, attributes of dementia, and degree of dementia included in the aforementioned dementia state are: The apparatus according to claim 5, wherein different priorities or weights are assigned to each other during the generation process of the first or second mission data.

7. A method for improving the cognitive function of dementia patients, which is performed by an electronic device, The steps include: conducting dementia tests on the aforementioned dementia patients via artificial intelligence calls and collecting the results of the dementia tests; A step of obtaining the dementia status of the dementia patient based on the results of the dementia test, - the dementia status includes the attributes of dementia, the degree of dementia, and the type of dementia - The steps include selecting first mission data for improving the cognitive function of the dementia patient according to the dementia state, and transmitting the first mission data to at least one of the dementia patient's terminal and the guardian's terminal, The step includes receiving feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal, The aforementioned electronic device is When conducting the aforementioned dementia test, the usage patterns of applications installed on the dementia patient's terminal are analyzed to selectively provide the type of dementia test, and if the dementia patient frequently uses the news application among the applications, the dementia test is conducted on a topic related to current events. The system collects location information from the dementia patient's terminal, confirms the frequency of the dementia patient's outings or changes in location, and based on the confirmation results, determines the patient's behavior and adjusts the difficulty level of dementia tests related to cognitive function. The aforementioned attributes include age, gender, education level, place of residence, hometown, marital status, income level, presence or absence of allergies, and use of walking aids. The aforementioned electronic device is When selecting the first mission data, a mission is selected that reflects the areas of interest and activity preferences according to gender. In light of the aforementioned educational level, the missions are selected considering the type and difficulty of the problems. Based on the aforementioned place of residence, select a mission that reflects the environmental differences between urban and rural areas. Based on the aforementioned hometown, a mission is selected to stimulate the dementia patient's memories related to their hometown. Based on whether or not you have a spouse, select a mission that can be carried out together with your spouse. Based on the aforementioned income level, a mission is selected considering the costs necessary to carry out the mission. Based on the aforementioned allergies, the mission is selected in such a way that allergy-inducing substances are avoided during the mission. Select a mission to limit the distance traveled and the type of activity of the dementia patient based on whether or not the aforementioned walking aid is used. If the type of dementia is Alzheimer's disease, select a mission that stimulates memory. If the type of dementia is vascular dementia, the player selects a mission to repeat a word displayed on the screen aloud and a mission to express an emotion. If the type of dementia is Lewy body dementia, the user can choose between a visual recognition mission where they find and name a specific object from pictures displayed on the screen, and a mission where they listen to music and then name the song. If the type of dementia is frontotemporal dementia, the child must select at least one of the following missions: recording a conversation with a caregiver and submitting the audio data; describing the facial expressions displayed on the screen; or submitting a photograph after completing household chores. If the type of dementia is Parkinson's disease dementia, the method involves selecting at least one of the following missions: rolling a ball with one's hands and taking a photograph, recording a conversation with a guardian and submitting it, or performing fine motor skills and submitting a photograph.

8. A system for improving cognitive function in dementia patients, A terminal for dementia patients that provides mission data and acquires data related to mission execution, A guardian terminal that selects or modifies mission data provided to the aforementioned dementia patient terminal, A computing device that provides mission data to at least one of the dementia patient terminal and the guardian terminal, The computing device is Through artificial intelligence calls, dementia tests are conducted on the aforementioned dementia patients and the results of the dementia tests are collected. Based on the results of the dementia examination, the dementia status of the dementia patient is obtained, and the dementia status includes the attributes of dementia, the degree of dementia, and the type of dementia. Select a first mission data for improving the cognitive function of the dementia patient according to the dementia state, and transmit the first mission data to at least one of the dementia patient's terminal and the guardian's terminal. The system receives feedback data for the first mission data from at least one of the dementia patient terminal and the guardian terminal. When conducting the aforementioned dementia test, the usage patterns of applications installed on the dementia patient's terminal are analyzed to selectively provide the type of dementia test, and if the dementia patient frequently uses the news application among the applications, the dementia test is conducted on a topic related to current events. The system collects location information from the dementia patient's terminal, confirms the frequency of the dementia patient's outings or changes in location, and based on the confirmation results, determines the patient's behavior and adjusts the difficulty level of dementia tests related to cognitive function. The aforementioned attributes include age, gender, education level, place of residence, hometown, marital status, income level, presence or absence of allergies, and use of walking aids. The computing device is When selecting the first mission data, a mission is selected that reflects the areas of interest and activity preferences according to gender. In light of the aforementioned educational level, the missions are selected considering the type and difficulty of the problems. Based on the aforementioned place of residence, select a mission that reflects the environmental differences between urban and rural areas. Based on the aforementioned hometown, a mission is selected to stimulate the dementia patient's memories related to their hometown. Based on whether or not you have a spouse, select a mission that can be carried out together with your spouse. Based on the aforementioned income level, a mission is selected considering the costs necessary to carry out the mission. Based on the aforementioned allergies, the mission is selected in such a way that allergy-inducing substances are avoided during the mission. Select a mission to limit the distance traveled and the type of activity of the dementia patient based on whether or not the aforementioned walking aid is used. If the type of dementia is Alzheimer's disease, select a mission that stimulates memory. If the type of dementia is vascular dementia, the player selects a mission to repeat a word displayed on the screen aloud and a mission to express an emotion. If the type of dementia is Lewy body dementia, the user can choose between a visual recognition mission where they find and name a specific object from pictures displayed on the screen, and a mission where they listen to music and then name the song. If the type of dementia is frontotemporal dementia, the child must select at least one of the following missions: recording a conversation with a caregiver and submitting the audio data; describing the facial expressions displayed on the screen; or submitting a photograph after completing household chores. If the type of dementia is Parkinson's disease, the system allows the user to choose at least one of the following missions: rolling a ball with their hands and taking a photograph, recording and submitting a conversation with their guardian, or submitting a photograph after performing fine motor skills.

Images