KR20210058449A - Apparatus and method for mental healthcare based on artificial intelligence - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus and a method for artificial intelligence-based mental health management are provided. The apparatus for artificial intelligence-based mental health management according to an embodiment of the present invention comprises: a communication unit configured to transmit and receive data; and a control unit configured to connect with the communication unit. The control unit is configured to: receive biometric data and collected data used to determine the possibility of a user's mental illness from an electronic device through the communication unit; determine the possibility of the user's mental illness on the basis of the received biometric data and collected data; determine content for mental health management or treatment of the user in response to the determined possibility of mental illness; and deliver the determined content to the electronic device.

Description

Device and method for mental health management based on artificial intelligence {APPARATUS AND METHOD FOR MENTAL HEALTHCARE BASED ON ARTIFICIAL INTELLIGENCE}

The present invention relates to an apparatus and method for mental health management based on artificial intelligence.

In modern times, people's physical health has improved, but on the contrary, their mental health has worsened, and the incidence of various mental disorders such as depression, anxiety, bipolar disorder, panic disorder and/or concentration deficit disorder is increasing.

Treatment of these mental disorders requires continuous management and treatment rather than short-term treatment due to the nature. However, most people have not been properly diagnosed and treated due to reasons such as accessibility, cost problems, negative perception or lack of awareness of mental illness. .

In addition, the treatment and management of mental disorders is limited to visit counseling by a specialist, and there is a problem that changes in emotions and states in the daily life of a mentally ill person are checked, and the diagnosis and/or treatment is not continuously performed in response.

Therefore, there is a need for a method for the user to continuously manage and treat mental health by himself in addition to the medical treatment and/or treatment of a specialist.

The problem to be solved by the present invention is to provide an apparatus and method for mental health management based on artificial intelligence.

Specifically, the problem to be solved by the present invention is to provide an apparatus and method for mental health management based on artificial intelligence for continuous mental health management and treatment by a user in addition to the treatment and/or treatment of a specialist.

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

In order to solve the above-described problems, an apparatus and method for mental health management based on artificial intelligence according to an embodiment of the present invention are provided. An artificial intelligence-based mental health management apparatus according to an embodiment of the present invention includes: a communication unit configured to transmit and receive data; And a control unit configured to connect with the communication unit, wherein the control unit receives biometric data and collected data used to determine a possibility of a user's mental illness onset from the electronic device through the communication unit, and the received biometric data and To determine the likelihood of developing a mental illness of the user based on the collected data, determining content for mental health management or treatment of the user in response to the determined possibility of developing a mental illness, and delivering the determined content to the electronic device. Consists of

An artificial intelligence-based mental health management method performed by a control unit of an artificial intelligence-based mental health management device according to an embodiment of the present invention includes biometric data and collection used to determine the possibility of a user's mental illness onset from an electronic device. Receiving data; Determining a possibility of developing a mental illness of the user based on the received biometric data and collected data; Determining content for mental health management or treatment of the user in response to the determined possibility of developing mental illness; And delivering the determined content to the electronic device.

Details of other embodiments are included in the detailed description and drawings.

In the present invention, the user can continuously perform mental health management and treatment independently of the hospital treatment.

In addition, the present invention can reduce the likelihood and risk of recurrence of a user's mental illness, thereby helping for a normal daily life.

In addition, the present invention enables more continuous mental disease improvement through continuous mental health management between hospital treatment and daily life.

In addition, the present invention provides the user with content for mental health management and/or treatment according to the possibility of developing mental disease, so that the user can preemptively cope with the prognostic signs of mental disease, Countermeasures can be prepared.

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

1 is a schematic diagram illustrating an artificial intelligence-based mental health management system according to an embodiment of the present invention.
2 is a schematic diagram of a first electronic device according to an embodiment of the present invention.
3 is a schematic diagram of a service providing server according to an embodiment of the present invention.
4 is a schematic diagram of a second electronic device according to an embodiment of the present invention
FIG. 5 is a schematic flowchart illustrating a method for providing content for mental health management or treatment according to a user's possibility of developing mental illness in a service providing server according to an embodiment of the present invention.
6 is an exemplary view of an interface screen showing content for mental health management and/or mental disease treatment according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, only the present embodiments are intended to complete the disclosure of the present invention, and common knowledge in the technical field to which the present invention pertains. It is provided to completely inform the scope of the invention to those who have, and the invention is only defined by the scope of the claims. In connection with the description of the drawings, similar reference numerals may be used for similar elements.

In this document, expressions such as "have," "may have," "include," or "may contain" are the presence of corresponding features (eg, elements such as numbers, functions, actions, or parts). And does not exclude the presence of additional features.

In this document, expressions such as "A or B," "at least one of A or/and B," or "one or more of A or/and B" may include all possible combinations of the items listed together. . For example, "A or B," "at least one of A and B," or "at least one of A or B" includes (1) at least one A, (2) at least one B, Or (3) it may refer to all cases including both at least one A and at least one B.

Expressions such as "first," "second," "first," or "second," used in this document may modify various elements regardless of their order and/or importance, and It is used to distinguish it from other components and does not limit the components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, without departing from the scope of rights described in this document, a first component may be named a second component, and similarly, a second component may be renamed to a first component.

Some component (eg, the first component) is "(functionally or communicatively) coupled with/to)" to another component (eg, the second component) or " When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or may be connected through another component (eg, a third component). On the other hand, when a component (eg, a first component) is referred to as being “directly connected” or “directly connected” to another component (eg, a second component), the component and the It may be understood that no other component (eg, a third component) exists between the different components.

The expression "configured to" as used in this document is, for example, "suitable for," "having the capacity to" depending on the situation. ," "designed to," "adapted to," "made to," or "capable of" can be used interchangeably. The term "configured to (or set)" may not necessarily mean only "specifically designed to" in hardware. Instead, in some situations, the expression "a device configured to" may mean that the device "can" along with other devices or parts. For example, the phrase “processor configured (or configured) to perform A, B, and C” means a dedicated processor (eg, an embedded processor) for performing the operation, or by executing one or more software programs stored on a memory device. , May mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe a specific embodiment, and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the art described in this document. Among terms used in this document, terms defined in a general dictionary may be interpreted as having the same or similar meanings as those in the context of the related technology, and unless explicitly defined in this document, they have ideal or excessively formal meanings. Is not interpreted as. In some cases, even terms defined in this document cannot be interpreted to exclude embodiments of this document.

Each of the features of the various embodiments of the present invention may be partially or entirely combined or combined with each other, and as a person skilled in the art can fully understand, technically various interlocking and driving are possible, and each of the embodiments may be independently implemented with respect to each other. It may be possible to do it together in a related relationship

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

1 is a schematic diagram illustrating an artificial intelligence-based mental health management system according to an embodiment of the present invention.

Referring to FIG. 1, the mental health management system 100 may be a system for determining the possibility of a user's onset of mental illness, and accordingly, for mental health management and/or treatment of a mental illness.

The mental health management system 100 is based on the first electronic device 110 that acquires biometric data and collected data used to determine the possibility of a user's onset of mental illness, and the onset of a user's mental illness based on the biometric data and collected data. It may include a service providing server 120 that determines the possibility and provides various services for mental health management or mental disease treatment accordingly. In various embodiments, the mental health management system 100 further includes a second device 130 that provides content for mental health management or mental disease treatment delivered from the service providing server 120 through an interaction with a user. can do.

First, the first electronic device 110 measures biometric data including at least one of a user's activity amount, heart rate, and sleep amount, and at least one of the user's voice data, light exposure data, and device usage history data. As an electronic device for acquiring the collected data to be included, it may include at least one of a wearable device, a smartphone, and/or a tablet PC that can be worn on a user's body part. For example, the wearable device may include a smart watch and/or a smart glass, but is not limited thereto.

The first electronic device 110 includes a biometric sensor capable of measuring a user's biometric data, and can measure biometric data through the biometric sensor. For example, the biometric sensor may include at least one of an activity amount sensor that measures the amount of activity of the user, a heart rate sensor that measures the user's heart rate, and a sleep sensor that measures the amount of sleep of the user.

The first electronic device 110 may further include an input unit such as a microphone to obtain voice data of the user and an illumination sensor to obtain light exposure data, thereby obtaining voice data and light exposure data of the user. .

The first electronic device 110 may obtain device usage history data by the user using the first electronic device 110. For example, device usage data includes words entered or searched by the user through applications, programs, widgets, or websites, content clicked on by the user (e.g., articles, posts, videos, etc.), and specific application usage information. It may include at least one of (eg, usage time, type of content used, etc.), number of devices used, and device usage time. When a specific application is a music player, the device usage history data may include information such as a song name, a category, and/or a genre for music selected by the user.

The first electronic device 110 may transmit the measured biometric data and the acquired collected data to the service providing server 120.

In various embodiments, biometric data and collection data may be obtained by two or more devices corresponding to the first electronic device 110. For example, a user's biometric data may be measured through a wearable device, and collected data may be obtained through a smartphone, but the present invention is not limited thereto. The measured biometric data and the acquired collected data may be transmitted to the service providing server 120.

Next, the service providing server 120 determines the possibility of a user's mental illness based on the biometric and collected data received from the first electronic device 110, and accordingly provides various services for managing mental illness. It may include a general-purpose computer, a laptop, a data server, etc. that perform various operations for this purpose.

In order to determine the likelihood of a user's onset of a mental illness, the service providing server 120 determines the likelihood of a user's onset of a mental illness based on the user's biometric data and collected data received from the first electronic device 110. It is possible to predict or use a model for predicting or classifying the onset of mental illness that has been learned to classify high and low likelihood. For example, the mental disease onset prediction or classification model may be a model trained to predict the likelihood of onset of a mental disorder or classify high and low likelihoods based on biometric data and collected data acquired every predetermined time.

The service providing server 120 may provide various contents for mental health management and/or mental disease treatment according to the possibility of a user's onset of mental disease. For example, various contents may include interactive contents or video contents for mental health management and/or treatment of mental disorders, but are not limited thereto. Such interactive content may be interaction data that responds to a user's motion on content such as text, graphics, animation, images, and/or sound. For example, the interactive content may be voice data indicating a query and/or a response for a conversation by voice, or chat data through a chatbot. Also, the image content may be image data or virtual reality data.

In various embodiments, when it is determined that management or treatment using content is difficult, the service providing server 120 notifies the user's condition to a hospital or emergency center, or provides a service that recommends treatment to a hospital or emergency center. May be.

In the case of providing content for mental health management and/or mental disease treatment, the service providing server 120 stores preset content according to the user's possibility of developing a mental disease. The first electronic device 110 or the second electronic device 130 Can be delivered to. Here, the preset content may be voice data or chat data for starting an interaction with a user for mental health management and/or mental disease treatment, but is not limited thereto.

When a user's response is received from the first electronic device 110 or the second electronic device 130, the service providing server 120 predicts the user's intention for the received response, and the predicted intention and the predicted Appropriate content may be determined in response to a possibility of developing a mental illness, and the determined content may be delivered to the first electronic device 110 or the second electronic device 130.

Specifically, the service providing server 120 predicts the user's intention based on the received response, classifies the user by class based on the predicted intention and the predicted possibility of developing mental illness, and Correspondingly, preset content may be determined as content suitable for the user. Here, the user's class may be reference data used to provide suitable content to the user in response to the user's intention and the possibility of developing mental illness.

To this end, the service providing server 120 may preset specific content or information on content corresponding to at least one class, but is not limited thereto.

In order to grasp the intention of the user's response, the service providing server 120 may use a pre-trained language model to predict the user's intention of the corresponding response based on the user's response. BERT, which is a pre-trained bidirectional language model, may be used as such a language model, but is not limited thereto.

In order to classify users by class, the service providing server 120 may use a pre-learned user classification model to classify users by class based on the predicted user's intention and the predicted possibility of developing mental illness.

When a user is classified into a specific class, the service providing server 120 may provide preset content corresponding to the specific class. For example, when a user is classified into a first class, the service providing server 120 provides a preset conversation content corresponding to a first class, and if the user is classified into a second class, a preset video is provided corresponding to the second class. You can provide content, and the like.

As described above, the service providing server 120 pre-defines classes by specific intention and level of likelihood of developing mental illness (eg, percentage or grade (eg, high, middle, low, etc.)), and determines which class the user corresponds to using a classification model. You can (or predict). In addition, the service providing server 120 may provide content for mental health management or treatment suitable for each user by providing preset content corresponding to the determined class.

Through this, the present invention not only predicts the possibility of mental illness, but also provides various contents for mental health management and/or treatment of mental illness, so that the user can continuously diagnose and manage the possibility of mental illness.

In various embodiments, the second electronic device 130 is an electronic device that provides various contents for treatment of mental disorders through interaction with a user, and includes an artificial intelligence speaker (or smart speaker) or a head-mounted display (HMD) device. And the like, but is not limited thereto.

The second electronic device 130 may receive conversation content or video content for mental health management and/or mental disease treatment from the service providing server 120 and provide the received conversation content or video content to the user. . For example, when the second electronic device 130 is an artificial intelligence speaker, the artificial intelligence speaker receives voice data for mental health management and/or mental illness treatment from the service providing server 120 and transmits the received voice data to the speaker. The user's voice data, which is output through and input through a microphone, may be transmitted to the service providing server 120. In various embodiments, when the second electronic device 130 is an HMD device, the HMD device receives virtual reality (VR) image data for mental health management and/or mental disease treatment from the service providing server 120 and displays The user's voice data that is displayed and inputted through a microphone, and/or selected by the user through an input device (eg, a controller, etc.), or inputted data may be transmitted to the service providing server 120.

Hereinafter, the first electronic device 110 will be described in detail with reference to FIG. 2.

2 is a schematic diagram of a first electronic device according to an embodiment of the present invention.

Referring to FIG. 2, the first electronic device 200 includes a communication unit 210, a sensor 220, a display unit 230, a storage unit 240, and a control unit 260. In the presented embodiment, the first electronic device 200 may refer to the first electronic device 110 of FIG. 1.

The communication unit 210 connects the first electronic device 200 to enable communication with an external device. The communication unit 210 may be connected to the service providing server 120 using wireless communication to transmit and receive various data.

Specifically, the communication unit 210 may transmit the user's biometric data acquired through the sensor 220 to the service providing server 120. In addition, the communication unit 210 may transmit collection data including at least one of voice data of a user, light exposure data, and device usage history data to the service providing server 120.

The sensor 220 includes an activity sensor for measuring the amount of activity of the user, a heart rate sensor for measuring the user's heart rate, a sleep sensor for measuring the amount of sleep of the user, and a light exposure amount representing the brightness around the first electronic device 200 It may include at least one of an illuminance sensor for measuring. For example, as the activity sensor, a position sensor, a motion sensor, an acceleration sensor, and a gyro sensor may be used, but the present invention is not limited thereto, and various sensors for measuring the amount of activity of the user may be used. In addition, as the sleep sensor, a motion sensor for measuring the user's movement, an audio sensor for detecting the user's breathing sound, etc. may be used, but the present invention is not limited thereto, and various sensors for measuring the user's sleep state may be used.

The input/output unit 230 may include a microphone and/or a speaker, and receive voice data of the user through the microphone, and the conversation content received from the service providing server 120 (eg, for interaction) through the speaker. Voice data) can be output.

The display unit 240 may display various contents (eg, text, images, videos, icons, banners, symbols, etc.) to the user. For example, when a chat or video data for mental health management and/or mental illness treatment is received from the service providing server 120, the display unit 230 may display the received chat or video data.

In various embodiments, the display unit 240 may include a touch screen, for example, a touch, gesture, proximity, drag, and swipe using an electronic pen or a part of the user's body. (swipe) or hovering (hovering) input, etc. can be received.

The storage unit 250 may acquire a user's biometric data and collection data, and store various data used to provide various contents delivered from the service providing server 120. In various embodiments, the storage unit 250 is a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (for example, SD or XD Memory, etc.), RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) , A magnetic memory, a magnetic disk, and an optical disk. The first electronic device 200 may operate in connection with a web storage that performs a storage function of the storage unit 250 over the Internet.

The control unit 260 is operably connected to the communication unit 210, the sensor 220, the input/output unit 230, the display unit 240, and the storage unit 250, measures the user's biometric data, and measures the user's collected data. And may perform various commands for providing measured biometric data and acquired collected data.

Specifically, the controller 260 may measure biometric data including at least one of a user's activity amount, heart rate, and sleep amount through the sensor 220. In various embodiments, the controller 260 may measure the user's biometric data at every predetermined time and transmit the measured biometric data to the service providing server 120. For example, the predetermined time may be about 1 to 3 days, but is not limited thereto.

In addition, the controller 260 measures the amount of light exposure through the sensor 220, acquires the user's voice data through the microphone, and collects device usage history data for the first electronic device 200 operated by the user. I can. In various embodiments, the controller 260 may measure a user's exposure to light for a preset time, acquire voice data, and collect device usage history data.

The controller 260 may transmit the measured biometric data and the collected collected data to the service providing server 120.

In various embodiments, the controller 260 may provide various contents for mental health management and/or mental disease treatment provided from the service providing server 120 to the user. For example, when voice data for mental health management and/or mental illness treatment is received from the service providing server 120, the controller 260 may output the received voice data through the input/output unit 230. When the user's voice data is received from the user through the microphone, the controller 260 may transmit the received voice data to the service providing server 120. When voice data indicating an answer suitable for the intention of the user's voice data is received from the service providing server 120, the controller 260 may output this through the input/output unit 230.

In various embodiments, when chatting data using a chatbot is received from the service providing server 120 for mental health management and/or mental disease treatment, the controller 260 may display the received chatting data through the display unit 240. . For example, the chat data may include text such as "How are you feeling today?" When a user inputs a response thereto, the controller 360 may transmit the input response to the service providing server 120. When a response according to an intention of a response input from a user and a possibility of developing a mental illness is received from the service providing server 120, the controller 360 may provide the received response through a chatbot.

As described above, the present invention provides various contents for mental health management and/or mental disease treatment to the user through interaction with the user, so that the user can continue to manage mental health and/or mental illness by himself even after diagnosis or treatment by a specialist. Treatment can be done.

In the following, the service providing server 120 will be described in detail with reference to FIG. 3.

3 is a schematic diagram of a service providing server according to an embodiment of the present invention.

Referring to FIG. 3, the service providing server 300 includes a communication unit 310, a storage unit 320, and a control unit 330. In the presented embodiment, the service providing server 300 may mean the service providing server 120 of FIG. 1.

The communication unit 310 connects the service providing server 300 to enable communication with an external device. The communication unit 310 may be connected to the first electronic device 110 and/or the second electronic device 130 using wired/wireless communication to transmit and receive various data.

Specifically, the communication unit 310 may receive the user's biometric data and collected data from the first electronic device 110. The communication unit 310 may deliver content for mental health management and/or mental disease treatment generated in response to the user's possibility of developing a mental disease to the first electronic device 110 and/or the second electronic device 130. .

The storage unit 320 may store a variety of data used to determine the possibility of a user's onset of a mental illness, and thus provide various services for managing a mental illness. In various embodiments, the storage unit 320 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, magnetic memory. , A magnetic disk, and an optical disk. The service providing server 300 may operate in connection with a web storage that performs a storage function of the storage unit 320 on the Internet.

The control unit 330 is operably connected to the communication unit 310 and the storage unit 320, and determines the possibility of developing a mental illness of the user based on the biometric data and collected data received from the first electronic device 110, Accordingly, various commands for providing various services related to mental health management and/or mental illness treatment may be executed.

Specifically, the controller 330 may receive the user's biometric data and collected data from the first electronic device 110 and determine the possibility of the user's mental illness based on the received biometric data and the collected data.

In order to determine the likelihood of a user's onset of a mental illness, the control unit 330 inputs the user's biometric data and collected data received from the first electronic device 110 as inputs to predict the onset of a user's mental illness. A model or a mental disease incidence classification model configured to classify a user's possibility of developing a mental disease by level (eg, high, medium, low, etc.) may be used.

Specifically, the mental illness onset prediction or classification model includes biometric data including at least one of a user's activity amount, heart rate, and sleep amount, and collection data including at least one of light exposure, user's voice, and device usage history It may be a model trained to predict the likelihood of a user's onset of a mental illness based on or classify the likelihood of a user's onset of a mental illness by level. For example, the predictive model may predict the probability of a user's onset of a mental illness by an onset probability (eg, a percentage (%)) or a grade, but is not limited thereto. In addition, the classification model may classify a user's likelihood of developing a mental illness as high (upper), medium (medium), or low level (lower), or classified by grade, but is not limited thereto.

In the case of the predictive model, the user's biometric data and the collected data may be learned as cohort data that tracks changes in the user's mental illness symptoms and the onset of mental illness. For example, the prediction model may be trained using a random forest, which is an ensemble model. This prediction model labels the user's mood as a neutral mood and a biased mood based on at least one of the user's activity amount, sleep pattern, heart rate change, voice, light exposure level, and device usage history acquired during a preset time ( By labeling), it is possible to predict the probability of occurrence of mental disorders such as depression, mania and/or hypomania, which are greatly affected by the user's mood.

In addition, the data used for learning such a prediction or classification model is not limited thereto, and a diagnosis record of a user's mental illness provided by a hospital, a mental illness similar to or identical to the user, and having the same age and/or gender, etc. Other users' biometric data, mental illness diagnosis records, and collected data may be used.

Meanwhile, the mental disease onset prediction or classification model may be a prediction model based on an XGBoost algorithm (Extreme Gradient Boosting algorithm). In this case, XGBoost is a core algorithm of a decision-tree-based, clustering evaluation, resampling evaluation, function selection and prediction process, and may be configured to finally determine the likelihood of developing a mental illness based on biometrics and collected data.

Such a mental disease incidence prediction or classification model is not limited to the examples presented, but RF (Random Forest), glmnet, cforest, CART (Classification and Regression Trees for Machine Learning), treebag, kNN (K-Nearest Neighbors), nnet neural network), SVM-radial (Support Vector Machine radial), SVM-linear (Support Vector Machine linear), NB (Naive Bayes), or mlp (multilayer perception) algorithm.

Through this, when the possibility of a user's mental illness is determined, the control unit 330 determines contents for mental health management and/or mental illness treatment of the user in response thereto, and determines the determined contents to the first electronic device 110 or the second It can be transmitted to the electronic device 130.

Specifically, the control unit 330 stores preset content according to the user’s possibility of developing a mental illness for interaction for mental health management and/or mental illness treatment of the user, the first electronic device 110 or the second electronic device ( 130). For example, the preset content may be voice data such as “How are you feeling today?” or chat data for starting an interaction with a user, but is not limited thereto.

When response data is received in response to the response from the first electronic device 110 or the second electronic device 130, the controller 330 predicts the intention for the received response data, and the predicted intention and the determined possibility of developing mental illness. You can determine the class of the user corresponding to.

To this end, the control unit 330 uses a pre-learned language model to predict the intention of the user's response data by inputting the user's response data, and the predicted intention by inputting the predicted intention and the likelihood of a mental illness as input. And a pre-learned user classification model to classify users by class in response to a possibility of developing mental illness.

When the user's class is determined through the user classification model, the controller 330 determines a preset content corresponding to the user's class, and transfers the determined content to the first electronic device 110 or the second electronic device 130. Can provide.

As such, the content corresponding to each class is the user's mental health management and/or mental disease treatment data provided from the hospital, and the treatment data of other users who are determined to be similar or to the same mental disease as the user, and have the same age and/or gender, etc. It can be set based on, for example. For example, the treatment data may include, but is not limited to, conversation contents (eg, question/response) for treatment, a picture, a questionnaire, a voice, and/or an image.

In various embodiments, if a user's response is not received from the first electronic device 110 or the second electronic device 130 for a preset time, the controller 330 manages mental health and/or The mental disease treatment content may be determined, and the determined mental health management and/or mental disease treatment content may be provided to the first electronic device 110 or the second electronic device 130. In this case, the controller 330 may determine the class of the user corresponding to the possibility of developing a mental disease by using a pre-learned user classification model to classify users by class by inputting the determined possibility of developing mental disease as input.

In various embodiments, the controller 330 continuously acquires the user's biometric data and collected data from the first electronic device 110 or the second electronic device 130 after providing mental health management and/or mental disease treatment content. Accordingly, it is determined whether the mental state of the user is improved based on this, and accordingly, mental health management and/or mental disease treatment content that is more suitable for the user may be provided.

In various embodiments, when it is determined that the current state of the user is not improved, the controller 330 first informs the user's condition to a hospital or emergency center, or provides information for recommending diagnosis or treatment to a hospital or emergency center. It may be provided as the electronic device 110 or the second electronic device 130.

As described above, the present invention determines the possibility of a user's mental disease invention based on the user's biometric data and collected data, and provides contents for mental health management and/or mental disease treatment according to the possibility of developing mental disease, thereby providing the user with mental You can manage the disease yourself and prepare a countermeasure for recurrence in advance.

Hereinafter, the second electronic device 130 will be described in detail with reference to FIG. 4.

4 is a schematic diagram of a second electronic device according to an embodiment of the present invention.

Referring to FIG. 4, the second electronic device 400 includes a communication unit 410, an input/output unit 420, a storage unit 430, and a control unit 440. In the presented embodiment, the second electronic device 400 may refer to the second electronic device 130 of FIG. 1.

The communication unit 410 connects the second electronic device 400 to enable communication with an external device. The communication unit 410 may be connected to the service providing server 120 using wireless communication to transmit and receive various data.

Specifically, the communication unit 410 receives the mental health management and/or mental disease treatment content received from the service providing server 120, and transmits the user data obtained by the microphone or input device to the service providing server 120 I can. For example, the user data may be voice data of a user input through a microphone, input data of a user acquired by an input device, or selected data, but is not limited thereto.

The input/output unit 420 may include a microphone and/or a speaker, and may receive user voice data through a microphone, and output voice data for interaction received from the service providing server 120 through the speaker. I can. In various embodiments, the input/output unit 420 includes a display unit, and the display unit may display image content received from the service providing server 120.

The storage unit 430 may store various data used to provide various contents for mental health management and/or mental disease treatment received from the service providing server 120. In various embodiments, the storage unit 430 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, magnetic memory. , A magnetic disk, and an optical disk. The second electronic device 400 may operate in connection with a web storage that performs a storage function of the storage unit 430 over the Internet.

The control unit 440 is operably connected to the communication unit 410, the input/output unit 420, and the storage unit 430, and various contents for mental health management and/or mental disease treatment received from the service providing server 120 It can perform a variety of commands to provide.

Specifically, the controller 440 may receive content for mental health management and/or mental disease treatment of a user from the service providing server 120 and output the received content through the input/output unit 420. For example, when the second electronic device 400 is a smart speaker, the controller 440 receives a preset conversation content for mental health management and/or mental illness treatment from the service providing server 120, and receives the received conversation. Content can be output through the speaker. Such conversation content may be voice data such as “How are you feeling today?” or text, which is preset in response to the user's possibility of developing mental illness. In various embodiments, when a text such as “How are you feeling today?” is received, the controller 440 may output the received text as a voice through a speaker.

When voice data is acquired in response to this from a user through a microphone, the controller 440 may transmit the acquired voice data to the service providing server 120. When voice data based on the user's response and the determined possibility of developing mental illness are received from the service providing server 120, the controller 440 may output the received voice data through a speaker. In various embodiments, when music data or a music list for mental health management and/or mental illness treatment determined based on a user's response is received from the service providing server 120, the controller 440 plays music data or Music data corresponding to the list can also be played.

In various embodiments, when the second electronic device 400 is an HMD device or a smart TV having a display unit, the control unit 440 provides image content preset for mental health management and/or mental disease treatment from the service providing server 120. May be received, and the received video content may be displayed through the display unit. Such image content may be image data for querying the current state of the user, but is not limited thereto.

When voice data is acquired from a user through a microphone or response data is input or selected by the user by an input device, the control unit 440 transmits the acquired voice data or input or selected response data to the service providing server 120. I can. When image content based on the user's response data and the determined possibility of mental illness is received from the service providing server 120, the controller 440 may display the received image content through the display unit.

As described above, the present invention provides content for mental health management and/or mental disease treatment according to the user's current state through interaction with the user, so that the user can manage his or her mental health and effectively treat mental diseases. Can be utilized.

In the following, a method for determining the possibility of a user's mental illness onset in the service providing server 120 and providing content for mental health management and/or mental illness treatment will be described with reference to FIG. 5.

5 is a schematic flowchart illustrating a method for providing content for mental health management or treatment according to a user's possibility of developing a mental illness in a service providing server according to an embodiment of the present invention. Operations described below may be performed by the control unit 330 of the service providing server 300.

Referring to FIG. 5, the service providing server 300 receives a user's biometric data and collected data used to determine the possibility of a user's mental illness through an electronic device (S500). Specifically, the service providing server 300 includes biometric data including at least one of a user's activity amount, heart rate, and sleep amount from the first electronic device 110, and light exposure amount data around the first electronic device 110, and the user Collected data including at least one of voice data and device usage history data may be received.

The service providing server 300 determines the possibility of developing a mental illness of the user based on the received biometric data and collected data (S510). Specifically, the service providing server 300 may predict a user's mental disease incidence probability by using a mental disease incidence prediction model learned to predict a mental disease incidence probability of a user based on the received biometric data and collected data.

The service providing server 300 determines content for mental health management or treatment of the user according to the determined possibility of developing mental illness (S520), and delivers the determined content to the electronic device (S530). Specifically, the service providing server 300 delivers preset content to an electronic device (for example, the first electronic device 110 or the second electronic device 130) in response to the predicted probability of mental illness occurrence, and the electronic device Response data may be received in response thereto. The service providing server 300 predicts the user's intention using a language model learned to predict the user's intention based on the response data, and classifies the user by class based on the predicted intention and the predicted probability of developing mental illness. The class of the user can be determined by using the user classification model that has been learned to do so. The service providing server 300 may determine a preset content corresponding to the determined user's class as content suitable for mental health management or treatment of the user. The service providing server 300 may deliver the determined mental health management or treatment content to the electronic device.

Through this, the present invention can reduce the possibility and risk of recurrence since the user can continuously manage or treat mental disorders independently of the hospital treatment.

In the following, a user interface representing contents for mental health management and/or mental disease treatment provided from the service providing server 120 will be described with reference to FIG. 6.

6 is an exemplary diagram of an interface screen showing contents for mental health management and/or mental disease treatment according to an embodiment of the present invention. In the presented embodiment, the first electronic device 200 corresponds to a smartphone, and an operation of providing content for mental health management and/or mental illness treatment of a user through a chatbot is described. Such an interface screen may be displayed through the display unit 240 of the first electronic device 200.

Specifically, the first electronic device 200 may acquire the user's biometric data and collection data, and transmit the obtained biometric data and collection data to the service providing server 120. When a preset content corresponding to the user's mental illness, which is determined based on the biometric data and the collected data, is received from the service providing server 120, the first electronic device 200 displays the received content through the display unit 240. Can be. For example, when the received content is chat data using a chatbot, the first electronic device 200 may display a chatbot interface screen 600 indicating the received content as shown in FIG. 6.

Referring to FIG. 6, the chatbot interface screen 600 may include a conversation area 610 representing a conversation content between the chatbot and a user, and an input area 620 for inputting response data of the user.

When a text such as “How are you feeling today?” is received from the service providing server 120, the first electronic device 200 may display the received text 612 on the conversation area 610.

In response from the user through the input area 620, “just yes… When a text such as "" is input, the first electronic device 200 may display the input text 614 on the chat area 610 and transmit the text to the service providing server 120. The service providing server 120 receiving the text may predict the user's intention based on the received text, and determine the user's class based on the predicted user's intention and the determined possibility of developing mental illness.

When the user's class is determined, the service providing server 120 may determine a preset content corresponding to the determined class as content for mental health management and/or mental disease treatment suitable for the user's current state. For example, when the determined content is music data, the service providing server 120 may transmit the determined music data to the first electronic device 200. At this time, the service providing server 120 may deliver not only music data but also text such as “Would you like to listen to this song?”.

Receiving this, the first electronic device 200 may display a graphic object 618 for playing music together with a text 616 such as “Would you like to listen to this song?” on the conversation area 610.

In the presented embodiment, an interface screen representing content for mental health management or treatment is not limited to the above description, and may be implemented in various configurations and designs.

As described above, the present invention determines a user's mental illness possibility based on the user's biometric data and collected data, and provides contents for mental health management or mental illness treatment of the user according to the determined possibility of developing mental illness, so that the user can In addition to the medical treatment and/or treatment of a specialist, they may provide ongoing mental health care and/or treatment on their own.

The apparatus and method according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination.

Program instructions recorded on a computer-readable medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes magneto-optical media and hardware devices specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

The above-described hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

Although the embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made without departing from the spirit of the present invention. . Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain the technical idea, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative and non-limiting in all respects. The scope of protection of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: mental health management system
110, 200: first electronic device
120, 300: service providing server
130, 400: second electronic device

Claims (14)

A communication unit configured to transmit and receive data; And
And a control unit configured to connect with the communication unit,
The control unit,
Receives biometric data and collected data used to determine the possibility of a user's mental illness onset from an electronic device through the communication unit,
Determining the possibility of developing a mental illness of the user based on the received biometric data and collected data,
In response to the determined possibility of developing mental illness, generating content for mental health management or treatment of the user,
A device for mental health management based on artificial intelligence, configured to deliver the generated content to the electronic device. The method of claim 1, wherein the biometric data,
Including at least one of the user's activity amount, heart rate, and sleep amount,
The collected data,
A device for mental health management based on artificial intelligence, comprising at least one of the user's voice, a light exposure indicating ambient brightness of the electronic device, and a device usage history of the user's electronic device. The method of claim 1, wherein the control unit,
An apparatus for mental health management based on artificial intelligence that predicts the possibility of the user's onset of a mental illness using a mental illness prediction model configured to predict the onset of the mental illness based on the biometric data and the collected data. The method of claim 3, wherein the model for predicting the onset of mental illness,
The apparatus for mental health management based on artificial intelligence, configured to predict a probability of the user's onset of mental illness by inputting the biometric data and the collected data. The method of claim 4, wherein the control unit,
Delivering preset content to the electronic device in response to the determined possibility of developing mental illness,
Receiving response data from the electronic device in response to the user,
Predicting the user's intention for the response data using a language model configured to predict the user's intention based on the received response data,
Determine the class of the user using a user classification model configured to classify the user by class based on the predicted intention and the predicted probability of occurrence,
An apparatus for mental health management based on artificial intelligence for determining a preset content corresponding to the determined class as the mental health management or treatment content. The method of claim 5, wherein the language model is configured to predict a user's intention for the response data by inputting the received response data,
The user classification model,
The apparatus for mental health management based on artificial intelligence, configured to classify the user by the class by inputting the predicted intention and the predicted probability of occurrence. The method of claim 1, wherein the generated content,
A device for mental health management based on artificial intelligence, including interactive content for interaction with the user. In the method for artificial intelligence-based mental health management performed by a controller of an artificial intelligence-based mental health management device,
Receiving biometric data and collected data used to determine a possibility of a user's mental illness onset from the electronic device;
Determining a possibility of developing a mental illness of the user based on the received biometric data and collected data;
Determining content for mental health management or treatment of the user in response to the determined possibility of developing mental illness; And
A method for mental health management based on artificial intelligence, comprising the step of delivering the determined content to the electronic device. The method of claim 8, wherein the biometric data,
Including at least one of the user's activity amount, heart rate, and sleep amount,
The collected data,
A method for mental health management based on artificial intelligence, comprising at least one of the user's voice, a light exposure indicating ambient brightness of the electronic device, and a device usage history of the user's electronic device. The method of claim 8, wherein determining the likelihood of developing the user's mental illness comprises:
Based on the biometric data and the collected data, the step of predicting the likelihood of the user's onset of a mental illness using a mental illness prediction model configured to predict the likelihood of the onset of the mental illness, for artificial intelligence-based mental health management Way. The method of claim 10, wherein the model for predicting the onset of mental illness,
A method for mental health management based on artificial intelligence, configured to predict an onset probability of the user's mental illness by inputting the biometric data and the collected data. The method of claim 10, wherein the determining of content for mental health management or treatment of the user comprises:
Delivering preset content to the electronic device in response to the determined possibility of developing mental illness;
Receiving response data from the electronic device in response to the user;
Predicting the user's intention for the response data using a language model configured to predict the user's intention based on the received response data;
Determining a class of the user using a user classification model configured to classify the user by class based on the predicted intention and the predicted probability of occurrence; And
Comprising the step of determining a preset content corresponding to the determined class as the mental health management or treatment content, artificial intelligence-based mental health management method. The method of claim 12, wherein the language model,
It is configured to predict a user's intention for the response data by using the received response data as input,
The user classification model is configured to classify the user according to the class by inputting the predicted intention and the predicted probability of occurrence as inputs. The method of claim 8, wherein the generated content,
A method for mental health management based on artificial intelligence, comprising interactive content for interaction with the user.

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