WO2019240343A1

WO2019240343A1 - System for providing customized self-management information according to user state

Info

Publication number: WO2019240343A1
Application number: PCT/KR2018/015973
Authority: WO
Inventors: 이영달
Original assignee: 이영달
Priority date: 2018-06-14
Filing date: 2018-12-17
Publication date: 2019-12-19
Also published as: KR101912939B1

Abstract

The present invention relates to a system for providing customized self-management information, capable of: automatically providing customized self-management information according to a user state even without performing a separate user operation or work, thereby increasing use convenience and, simultaneously, remarkably alleviating a user's emotional reactions such as depression, panic disorder, anxiety, obsession, and bipolar disorder that are caused by various types of stress; storing the user's diary, memos, and SNS content in a database, and then analyzing statistical data therefor, so as to generate and update self-paradigm information such as user patterns, habits, and tastes, thereby providing same according to a user request, such that the user can receive various pieces of information related to the user without performing a separate operation or work; and allowing a self-management application to collect texts generated by the user and images captured by the user for a preset period (T) and, simultaneously, allowing a management server to analyze the collected texts and images by using a machine learning algorithm, so as to detect user state information, and thus the present invention can increase service reliability and accuracy by automatically and accurately detecting the user state without a separate user operation.

Description

Customized self management information provision system according to user status

The present invention relates to a system for providing personalized self-management information according to a user's state, and in detail, a user's own personalized information corresponding to the detected state is automatically detected after the user's state is automatically detected without a user performing a separate operation and operation. The present invention relates to a system for providing personalized self-management information according to a user's condition that can improve the emotional response of a user due to various stresses by providing management information.

Recently, as the society is advanced, competitive, and complicated, the stress index due to various causes is increasing rapidly.

In general, the emotional reaction due to the subjective interpretation of stress appears to be depression, anxiety, obsessive compulsive, sleep disorder, mental disorder, panic disorder. This emotional response damage can be solved by psychological treatment by a counseling specialist.

However, due to the cost and the social perception of treating people who receive counseling treatment as mental illness, it is not easy to say that they are regularly visited to medical institutions.

On the other hand, in recent years, as the interest in artificial intelligence (AI) field, which is the core of the fourth industrial revolution, has rapidly increased, there is a demand for a technical solution capable of integrating artificial intelligence (AI) technology in the field of counseling treatment.

1 is a block diagram showing an online consultation service system disclosed in Korean Patent Registration No. 10-1402939 (name of the invention: an online consultation service system using a smartphone).

The online consultation service system (hereinafter referred to as a prior art) 100 of FIG. 1 is an online consultation service system that provides a paid consultation service on an online web site.

In addition, the prior art 100 is composed of a member terminal 110, expert member terminal 120, professional counseling server 130.

Member terminal 110 is a professional counseling app is installed, by accessing the online web site by the execution of the professional counseling app to request their own counseling, but authenticates the membership through the authentication information.

When the expert member terminal 120 receives the counseling request from the member terminal 110 when the professional counseling app is installed and connected to an online web site by executing the professional counseling app, the counseling information regarding the received counseling request is input. However, the certification information is certified as an expert member.

The professional counseling server 130 provides professional information of the expert member to the member terminal 110, and when a request for consultation with the expert member terminal 120 selected from the member terminal 110 is received, the member terminal 110 and the expert are provided. Create a counseling space of the member terminal 120 to provide a mutual consultation service.

In addition, the professional counseling server 130 collects the fee based on the consultation time from the member terminal 110 and distributes the counseling fee requested by the expert member to the expert member terminal 120 to be included in the expert information of the expert member among the collected fee. .

In addition, the professional consultation server 10 further includes a server frequency discrimination unit. That is, when the plurality of member terminals 110 selects the same expert member at the same time and wishes to consult, a signal of a wireless communication network frequency band between the professional counseling server 130 and the plurality of member terminals 110 is transmitted through a server frequency discrimination unit. The control of the professional counseling server 30 determines the signal so that the member terminal 110 when the frequency band signal is the first frequency band signal is preferentially connected to the member terminal 110 when the frequency band signal is the second frequency band signal. Send to module 370.

The prior art 100 is configured as described above to see the counselor's information and consultation responses to the consultation on the smartphone app to conveniently select one of the experts to consult from the experts by convenient SNS comment messages and voice chat Has the advantage to receive.

However, in the prior art 100, the user has to choose an expert using a professional counseling app for professional counseling, and the counseling work is complicated and cumbersome because the user must provide his / her status to the expert through text chat or voice chat. Rather, users with low spontaneity have structural limitations that significantly reduce counseling rates.

In addition, the prior art 100 does not consider the user's Internet activity at all, and has a disadvantage in that the consultation efficiency is lowered because the consultation is made only through the chat contents provided by the members through simply chatting.

In addition, the prior art 100 has a disadvantage in that it does not provide a separate technology and method for continuously predicting the user's state, and thus does not provide customized information according to the user's state.

The present invention is to solve this problem, the problem of the present invention is to improve the convenience and at the same time to improve the ease of use by automatically providing customized self-management information according to the user's state without the user to perform a separate operation and operation The present invention relates to a personalized self-management information providing system according to the user's condition that can dramatically improve the emotional response of the user such as depression, panic disorder, anxiety, compulsion, and manic depression caused by stress.

In addition, according to the present invention, after storing the user's diary, memo, and SNS content in the database, and then analyze the statistical data about it to generate and update the self-paradigm information, such as the user's pattern, habits and tastes to provide at the request of the user Thus, the present invention relates to a system for providing self-managed information customized according to a user's state that can be provided with various information related to the user without performing a separate operation and work.

In addition, according to the present invention, the self-management application collects the text generated by the user and the image taken by the user during the predetermined period (T) and at the same time the management server analyzes the collected text and image by using the machine learning algorithm. The present invention relates to a system for providing personalized self-management information according to a user state that can be configured to detect state information and can automatically detect a state of a user automatically without a separate user operation to increase service reliability and accuracy.

In addition, according to the present invention, when the self-management application provides the self-management information and the paradigm information to the user at the request of the user, it is configured to output text and voice by using the avatar selected by the user, thereby providing information efficiency and The present invention relates to a personalized management information providing system according to the user's condition to maximize the ease of use.

In addition, according to the present invention, if the management server detects user status information, medical counseling server, mental counseling server, meditation information providing server, healthcare information providing server, religious book information providing server, coordination recommendation information providing server, four weeks information providing server It is configured to extract the self management information corresponding to the user's status by connecting to an external information providing server such as a server for providing other information and to provide the user with more detailed and accurate self management information. The present invention relates to a customized self management information providing system.

Solution to Problem The present invention for solving the above problems is a system for providing personalized self-management information for providing self-management information: The system for providing personalized self-management information provides a system for inputting text input by a user during a predetermined period (T). A mobile terminal in which a self-management application for collecting and transmitting text collection data to the outside is installed; External information providing servers for generating and storing self-management information for each user state information; Analyze the text collection data transmitted from the mobile terminal using a predetermined text analysis algorithm to detect user status information, and then access each of the external information providing servers to extract self management information corresponding to the detected user status information. And a management server for transmitting the customized self management information incorporating the extracted self management information to the self management application, wherein the self management application monitors the monitor of the mobile terminal for the customized self management information received from the management server. Displayed through, the self-management application further comprises a diary mode management unit, the diary mode management unit is a diary which is a graphical user interface (GUI) including an input field for receiving a diary text that is text related to the diary from the user Article interface Weather interfaces provide module; A first input module for receiving text input through a diary interface provided by the diary interface providing module; And a registration module for requesting registration of diary content by transmitting diary content including text input by the first input module to the management server, wherein the management server requests registration of diary content from the self-management application. Upon receipt, the received diary content is stored in the previously registered diary content, and the self-management application further includes a collection unit and a collection data analysis request unit driven every predetermined period T, and the collection unit includes the period. Diary content collection module for collecting the text of the diary content input by the first input module during (T); A search keyword collection module for collecting a search keyword input by the user through the mobile terminal during the period (T); An SNS content collection module for collecting the text registered by the user in the SNS of his account during the period T; And a text collection data generation module for generating text collection data including text collected by the diary content collection module, the search keyword collection module, and the SNS content collection module. When the text collection data is generated, the generated text collection data is transmitted to the management server to request an analysis, the mobile terminal further includes a camera, and the diary interface further includes an image input field for receiving an image from a user. And the first input module of the diary mode manager receives an image input through the diary interface, and the diary content collection module of the collector is input by the first input module during the period T. Further collecting an image of the content, the SNS content of the collection unit The collection module further collects images registered by the user in the SNS of his account during the period T, and the collection unit collects image collection data including images collected by the diary content collection module and the SNS content collection module. The apparatus may further include an image collection data generation module for generating the image collection data analysis request unit. When the image collection data is generated by the collection unit, the generated image collection data is transmitted to the management server to request an analysis, and the self management is performed. The application further includes an image mode manager, wherein the image mode manager displays an image display column in which an image photographed by the camera is displayed, an operation button for operating the camera, and state information for receiving user state information from a user. Field and user status information received from the management server Provides the user interface that provides status information display image is an image that contains the interface modules to the exhibition; An input module for receiving an image or user state information from a user through the image interface; A matching information generation module which is driven when the image and the user state information are input by the input module to generate second matching information matching the input image and the user state information; A registration request module which is driven when the second matching information is generated by the matching information generating module and transmits the generated second matching information to the management server to request registration; And a status request module which is driven when only an image is input without inputting user status information by the input module and transmits the input image to the management server to request status information. The management server includes the self-management application. And a matching information management unit including a first processing unit driven when a request for registration of the second matching information is received from the second processing unit, and a second processing unit driven when the user status information is requested from the self-management application. The first image analysis module may detect a facial feature from an input image by analyzing an input image using a preset facial feature detection algorithm, which is an algorithm for detecting facial features from a facial object. A facial feature and user state information matching module for matching the facial feature information detected by the first image analysis module with the input user state information; And a registration module configured to store data matched by the facial feature and user state information matching module, wherein the second processor detects the facial feature from the input image using the facial feature detection algorithm. ; A search module for searching data previously stored by the registration module whether information corresponding to the facial features detected by the second image analysis module exists; After extracting the matched data corresponding to the facial feature detected by the second image analysis module among the data previously stored by the search module, the user state information is detected from the extracted matched data, and the detected user state information is extracted. And an extraction module for transmitting to the self management application, wherein the self management application receives the user status information according to the request of the user status information to the management server, and the user status received in the user status information display field of the image interface. To display information.

In the present invention, it is preferable that the management server detects user state information by analyzing image collection data transmitted from the self-management application using a preset image analysis algorithm.

In addition, the text analysis algorithm or the image analysis algorithm applied to the management server in the present invention is given a model that is a mapping relationship between the text or image and the user state information using the text or image as input data, the user state information as an output value It is desirable to be a machine learning algorithm that learns from a large number of data.

In the present invention, the external information providing server at least one or more of the medical counseling server, mental counseling server, meditation information providing server, healthcare information providing server, religious book information providing server, coordination recommendation information providing server and four weeks information providing server In addition, the medical counseling server is a server that provides prescription information of the medical staff according to the user status information, the mental counseling server is a server that provides counseling information of the professional counselor according to the user status information, the meditation information providing server The server provides a type and method of meditation for improving user status information, The healthcare information providing server is a server for providing a workout type and method for improving user status information, The religious book information providing server It is a server that provides phrases of religious books to improve user's status information. Coordination like information providing server is a server that is like the coordination for improving the user's status information, the information providing server four weeks is preferably a server which provides four weeks information based on the user's date of birth.

According to the present invention having the above-mentioned problems and solutions, the user can automatically provide customized self-management information according to the user's state without performing a separate operation and operation, while increasing the ease of use and depression and panic caused by various stresses. Users' emotional reactions such as disability, anxiety, compulsion, and mood swings can be dramatically improved.

In the present invention, by storing the user's diary, memo, SNS content in the database and then analyzing the statistical data about it, by generating and updating magnetic paradigm information such as user's pattern, habits and tastes, and providing them according to the user's request A user may be provided with various information related to himself / herself without performing a separate operation and task.

In addition, according to the present invention, the self-management application collects the text generated by the user and the image taken by the user during the predetermined period (T) and at the same time the management server analyzes the collected text and image by using the machine learning algorithm. Since it is configured to detect the status information, it is possible to increase the service reliability and accuracy by automatically detecting the user's state accurately without a separate user operation.

In addition, according to the present invention, when the self-management application provides the self-management information and the paradigm information to the user at the request of the user, it is configured to output text and voice by using the avatar selected by the user, thereby providing information efficiency and It is possible to maximize the ease of use.

In addition, according to the present invention, if the management server detects user status information, medical counseling server, mental counseling server, meditation information providing server, healthcare information providing server, religious book information providing server, coordination recommendation information providing server, four weeks information providing server It is possible to provide more detailed and accurate self-management information to the user by being configured to access the external information providing server, such as other information providing server, to extract the self-management information corresponding to the user's state and provide it to the user.

2 is a block diagram showing a system for providing customized self management information according to an embodiment of the present invention.

3 is an exemplary diagram for describing external information providing servers of FIG. 2.

4 is a block diagram illustrating the mobile terminal of FIG. 2.

FIG. 5 is a block diagram illustrating a self management application of FIG. 2.

FIG. 6 is a block diagram illustrating a weather mode manager of FIG. 5.

7 is an exemplary diagram illustrating a diary interface provided by the diary interface providing module of FIG. 6.

8 is a block diagram illustrating an image mode manager of FIG. 5.

9 is a block diagram illustrating a collector of FIG. 5.

FIG. 10 is a block diagram illustrating the management server of FIG. 2.

FIG. 11 is a block diagram illustrating a matching hearing processing unit of FIG. 10.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention.

The customized self-management information providing system 1 according to an embodiment of the present invention 1) analyzes text and image collection data such as diary content, SNS content, search keyword, etc. of a user input through the self-management application 6. After detecting the status information, 2) medical counseling server, mental counseling server, meditation information providing server, healthcare information providing server, religious book information providing server, coordination recommendation information providing server, four weeks information providing server, other information providing server, etc. A system for generating customized self management information corresponding to the detected user state information by accessing an external information providing server of the user and providing the same to a user.

Also, as shown in FIG. 2, the customized self management information providing system 1 is installed in the mobile terminal 5 and the portable terminal 5 possessed by the user, and is provided with an application for providing a customized self management information service to the user. The collected data received from the self management application 6 is analyzed by using the self management application 6 as a program and the analysis algorithm that is a previously learned machine running algorithm. The management server which accesses the external information providing servers 9-1, ..., (9-N), extracts the customized self management information corresponding to the detected user status information, and transmits it to the self management application 6. (3) and the management server by extracting the self management information according to the user status information at the request of the management server (3) while generating and storing the self management information according to the user status information An external information providing server 9-1, ..., (9-N) to transmit to (3), and a communication network 10.

The communication network 10 provides a data movement path between the mobile terminal 5, the management server 3 and the external information providing server 9-1, ..., (9-N), in detail Wide area network (WAN), wired and wireless network (Network) network, mobile communication network, LTE may be configured.

The external information providing servers 9-1, ..., 9-N are servers for generating and storing self management information for each user state information.

In addition, the external information providing server (9-1), ..., (9-N), as shown in Figure 3, medical counseling server 91, mental counseling server 92, meditation information providing server 93 , Healthcare information providing server 94, religious book information providing server 95, coordination recommendation information providing server 96, four weeks information providing server 97, other information providing server 98, etc. Can be.

In the present invention, for the convenience of description, the type of the external information providing server 9 has been described with reference to FIG. 3 as an example, but the type of the external information providing server 9 is not limited to FIG. 3 and can provide specific information. It is obvious that various known servers can be applied.

In addition, the medical counseling server 91 is a server that provides the prescription information of the medical staff according to the user's condition, the mental counseling server 92 is a server that provides counseling information of a professional counselor according to the user's status, meditation information providing server (93) is a server that provides a suitable type and method of meditation to improve the user's condition, the health care information providing server 94 is a server that provides a suitable exercise type and method to improve the user's condition Religious book information providing server 95 is a server for providing a phrase of a religious book to improve the user's status, Cody recommended information providing server 96 is a server for recommending coordination to improve the user's status, Four weeks information providing server 97 is a server that provides four weeks information based on the date of birth of the user, the other information providing server 98 other related information according to the status of the user The server is to provide.

4 is a block diagram illustrating the mobile terminal of FIG. 2.

The portable terminal 5 is a digital terminal installed with the self management application 6 of FIG. 5 to be described later and connected to the communication network 10 under the control of the self management application 6 to transmit and receive data with the management server 3. In detail, it is preferable to be a smart phone, a desktop PC, a notebook, a tablet PC, or a PDA.

In addition, as shown in FIG. 4, the mobile terminal 5 is connected to the communication network 10 and the monitor 51 that is provided in a conventional smart phone to display contents such as general characters, symbols, and images. A communication interface module 52, a control module 53 that is in charge of the OS of the mobile terminal and controls a control object, an input module 54 for receiving characters, symbols, texts, etc. from a user, and a memory for storing data Application management installed at 55, a camera 56 for capturing an image or an image according to a user's request, and the self-management application 6 of FIG. 5 to be described later to achieve the object of the present invention. Module 56.

FIG. 5 is a block diagram illustrating a self management application of FIG. 2.

The self management application 6 is installed in the mobile terminal 5 and collects text and images created by the user during a preset period T and at the same time manages the customized self management information corresponding to the user's status. An application, software, or application that receives and provides from.

In addition, as shown in FIG. 5, the self-management application 6 includes a controller 60, a data input / output unit 61, an interface processor 62, a diary mode manager 63, a memo mode manager 64, and an image. The mode manager 65, the collector 66, the collected data analysis request unit 67, and the customized self management information provider 68 are provided.

The control unit 60 is an operating system (OS) of the self-management application 6, and the

control target

61, 62, 63, 64, 65, 66, 67, ( 68) Manage and control.

In addition, when the control unit 60 receives the analysis algorithm from the management server 3 through the communication interface module 52 of the mobile terminal 5, the received analysis algorithm is stored in the memory 55 of the mobile terminal 5. do.

In addition, the controller 60 controls the communication interface module 52 of the mobile terminal 5 when the request for analyzing the collected data is determined by the collected data analysis request unit 67 to the management server 3. Transmit the analysis request data including the text collection data and the image collection data.

In addition, when the control unit 60 receives the customized self management information from the management server 3 through the communication interface module 52 of the mobile terminal 5, the customized self management information provider 68 ).

The data input / output unit 61 inputs and outputs data to and from the mobile terminal 5.

The interface processor 62 displays the pre-made graphical user interface on the monitor 51 of the mobile terminal 5, processes the operation according to the user's request (command), and provides the result data.

In addition, the interface processor 62 provides a weather application of FIG. 7 to be described below, which is pre-fabricated when the weather mode manager 63 is driven.

In addition, the interface processor 62 provides a memo application, which is a graphical user interface (GUI), which is manufactured when the memo mode manager 64 is driven.

In addition, the interface processor 62 provides an image application, which is a graphical user interface (GUI) manufactured when the image mode manager 65 is driven.

In addition, the interface processor 62 receives the magnetic paradigm information from the user. At this time, the magnetic paradigm information is information including a user's pattern, habits and tastes, and the controller 60 receives the magnetic paradigm information from the user through the interface processor 62 and requests the magnetic paradigm information from the management server 3. Send the data.

In addition, when the interface processor 42 receives the magnetic paradigm information from the management server 3, the interface processor 42 provides the received magnetic paradigm information to the user.

In this case, as the providing method, a text and voice method using an avatar may be provided.

In addition, the interface processor 62 provides a pre-fabricated information interface when the customized self-management information provider 68 is driven.

FIG. 6 is a block diagram illustrating a weather mode manager of FIG. 5.

The diary mode management unit 63 may provide a diary interface providing module 631 for providing a diary interface 900 of FIG. 7 which will be described later, which is a graphic user interface (GUI), which is pre-made to the user, and a diary interface providing module ( A first input module 632 for receiving content such as text and images from a user through the diary interface 900 provided by the user 631, a schedule interface providing module 633 for providing a pre-made schedule interface, and The diary content and schedule input through the second input module 634 and the first and

second input modules

632 and 634 that receive a schedule from the user through the schedule interface provided by the schedule interface providing module 633. And a registration module 635 for generating registration request data including contents.

At this time, if the registration request data is generated by the registration module 635, the control unit 60 controls the communication interface module 52 of the mobile terminal 5 to register the registration request data including the diary content and the schedule content management server ( 3) to be transmitted.

As illustrated in FIG. 7, the diary interface 900 may include a date and day input field 910 for inputting a date and a day of the week, a text input box 920 for receiving diary text from a user, and a user. Image input field 930 for receiving a picture from the.

The diary content input through the date and day input field 910, the text input field 920, and the image input field 930 of the diary interface 900 configured as described above is input through the first input module 632 and then registered. 634 is stored in the memory of the mobile terminal 5 and transmitted to the management server 3 at the same time.

The memo mode manager 64 provides a user with a memo interface, which is a graphic user interface (GUI), which is previously manufactured according to a user's request.

At this time, the memo interface includes an input field for receiving a memo from the user.

In addition, the memo mode manager 64 transmits the memo content input from the user through the memo interface to the management server 3 to request registration.

8 is a block diagram illustrating an image mode manager of FIG. 5.

The image mode manager 65 provides a user with an image interface, which is a graphic user interface (GUI), which is previously manufactured according to a user's request.

In addition, as shown in FIG. 8, the image mode manager 65 may provide an image interface providing module 651 for providing a pre-made image interface to the monitor 51 of the mobile terminal 5, and an image interface providing module 651. A second input module 652 which receives an image or user state information from the user and a second image which is driven when the image and user state information are input by the input module 652 to match the input image and the user state information) The matching information generation module 653 and the input module 652 which generate the matching information are driven when only the image is input without inputting the user status information, and transmits the image to the management server 3 to request the status information. The state request module 654 and the matching information generating module 653 are registered when the second matching information is generated when the second matching information is generated and transmitted to the management server 3 to request registration. It comprises a blue module 655.

In this case, the image interface may include an exhibition field in which an image obtained by photographing the camera 56 of the mobile terminal 5 is displayed, an operation button for operating the camera 56, an input field for inputting user state information from the user, , An exhibition column for displaying user status information received from the management server 3.

That is, the user can take a picture through an operation button while viewing his image displayed through the image interface.

In addition, when the image interface providing module 651 receives the user status information from the management server 3 in response to a request of the status request module 654, the user displays the user status information received through the exhibition column. It is possible to automatically read their user status information according to.

9 is a block diagram illustrating a collector of FIG. 5.

The collector 66 is driven every predetermined period T and collects text and images related to a user.

In addition, as shown in FIG. 9, the collection unit 66 collects a diary content collection module 641, a memo content collection module 662, an image collection module 663, a search keyword collection module 664, and an SNS content collection. Module 665, a text collection data generation module 666, and an image collection data generation module 667.

The diary content collection module 661 collects text and images of diary content input through the diary interface 900 by the diary mode manager 63 of FIG. 6 described above.

In addition, the text data of the diary content collected by the diary content collection module 661 is input to the text collection data generation module 666, the image data of the diary content collected by the diary content collection module 661 is the image collection data It is input to the generation module 667.

The memo content collecting module 662 collects the text of the memo content input through the memo interface of the memo mode manager 64.

In addition, the text of the memo content collected by the memo content collection module 662 is input to the text collection data generation module 666.

The image collection module 663 collects the input image through the image interface of the image mode manager 64 of FIG. 8 described above.

In addition, the image collected by the image collection module 663 is input to the image collection data generation module 667.

The search keyword collection module 664 collects the search keywords searched by the user using the mobile terminal 5 for the search period, the portal site, etc. during the preset period T.

In addition, the search keyword data collected by the search keyword collection module 664 is input to the text collection data generation module 666.

The SNS content collection module 665 collects text and images (hereinafter referred to as SNS content) uploaded to a user's previously registered social network service (SNS) during a preset period T.

In addition, the text data of the SNS content collected by the SNS content collection module 665 is input to the text collection data generation module 666, and the image data of the SNS content collected by the SNS content collection module 665 is the image collection data. It is input to the generation module 667.

The text collection data generation module 666 is a text collection data including text input from the diary content collection module 661, memo content collection module 662, search keyword collection module 664 and SNS content collection module 665. Create

In this case, the text collection data generated by the text collection data generation module 666 is input to the collection data analysis request unit 67.

The image collection data generation module 667 generates image collection data including images input from the diary content collection module 661, the image collection module 663, and the SNS content collection module 665.

In this case, the image collection data generated by the image collection data generation module 667 is input to the collection data analysis request unit 67.

The collection data analysis request unit 67 controls the mobile terminal 5 to transmit the analysis request data including the text collection data and the image collection data generated by the collection unit 66 to the management server 3.

At this time, the management server 3 generates a personalized self-management information according to the analysis request data received from the self-management application (6) and transmits it to the self-management application (6).

The customized self management information providing unit 68 provides the user with the customized self management information received from the management server 3 through the mobile terminal 5 through information providing interfaces, which are pre-fabricated graphical user interfaces (GUIs).

At this time, the personalized self-management information includes prescription information of medical staff, counseling information of professional counselors, meditation information including meditation type and method, healthcare information including exercise type and method, religious book recommendation information, coordination recommendation information, etc. It consists of related information.

That is, the user does not need to perform a separate operation and work, the user's own state is detected based on the text written by the self-management application 6 and the image photographed by the user, as well as a customized magnetic corresponding to the state of the user By being provided with management information, it is possible to dramatically improve one's emotional response due to various various stresses by reading customized self management information.

For example, when the personalized self-management information is coordination recommendation information, the information providing interface may include an exhibition column that recommends types and colors of clothes, shoes, and accessories according to the user's condition and weather, and the user provides information. Through the interface, you can browse the best coordination information according to your condition and weather.

FIG. 10 is a block diagram illustrating the management server of FIG. 2.

As shown in FIG. 10, the management server 3 includes a control unit 30, a database unit 31, a data transmission / reception unit 32, an application management unit 33, a registration unit 34, a learning unit 35, Text collection data analysis unit 36, image collection data analysis unit 37, search and extraction unit 38, customized self management information generation unit 39, matching information processing unit 40, magnetic paradigm information management unit 43 Is made of.

The control unit 30 is an operating system (OS) of the management server 3, the control target 31, (32), (33), (34), (35), (36), (37), (38) ), (39), (40), and (43).

In addition, when the controller 30 receives a request for registration including the diary content and the schedule content from the self-management application 6 through the data transmission / reception unit 32, it inputs it to the registration unit 34.

In addition, when the control unit 30 receives a collection data analysis request including the text collection data and the image collection data from the self-management application 6 through the data transmission and reception unit 32, the received text collection data analysis unit (a text collection data analysis unit ( 36), and the received image collection data is input to the image collection data analysis unit 37.

In addition, when the user's status information is detected by the text collection data analysis unit 36 and the image collection data analysis unit 37 through the data transmission / reception unit 32, the controller 30 searches for and detects the detected state information. Enter (38).

In addition, the controller 30 inputs the data extracted by the search and extraction unit 38 to the personalized self management information generation unit 39.

In addition, when the control unit 30 receives the user state information request data or the matching information registration request data from the self-management application 6 through the data transmission / reception unit 32, the control unit 30 receives the received user state information request data or the matching information registration request data. Input to the matching information processing unit 40.

In this case, the user state information request data includes an image obtained through the image interface of the self management application 6, and the matching information registration request data includes matching information including an image input through the image interface and user state information.

In addition, when the control unit 30 receives the magnetic paradigm information request data from the self management application 6, the control unit 30 drives the magnetic paradigm information management unit 43.

The database unit 31 stores a text analysis algorithm and an image analysis algorithm, which are machine learning algorithms learned by the learning unit 35.

In this case, the text analysis algorithm is an input value, but the algorithm that takes the user's status information as an output value, and the image analysis algorithm is defined as an algorithm that takes the collected image as an input value and the user's status information as an output value. , State information means a state classified into any one of preset categories such as depression, joy, anger, sadness.

For example, the management server 3 may analyze the image laughing by the user through the image analysis algorithm to detect the user's status information as 'joy' *.

In addition, the database unit 31 stores the user's diary content and schedule content by the register unit 34.

In addition, the database unit 31 stores user authentication information, member information, and the like of the self-management application 6.

In addition, the database unit 31 stores graphical user interfaces (GUIs) provided by the self-management application 6.

The data transmitting and receiving unit 32 transmits and receives data with the self management application 6 under the control of the control unit 30.

The application manager 33 manages the overall service of the self-management application 6 such as an upgrade.

The register 34 is driven when the registration request including the diary contents and the schedule contents is received from the self-management application 6 through the data transmitting / receiving unit 32, and the diary contents and the schedule contents which have been received are stored in the existing diary. It is included (updated) in the content and the schedule content and stored in the database unit 31.

The learning unit 35 learns a text analysis algorithm and an image analysis algorithm, which are machine learning algorithms, using neural network techniques.

In this case, the learning unit 35 uses text (or image) as input data, and learns a model, which is a mapping relation between text (or image) and state information, from a plurality of pieces of data.

The text collection data analysis unit 36 analyzes the text collection data transmitted from the self management application 6 using the text analysis algorithm learned by the learning unit 35 to detect user state information.

In this case, as described above, the user state information refers to a state classified into any one of preset categories such as depression, joy, anger, and sadness.

In addition, the user state information detected by the text collection data analysis unit 36 is input to the search and extraction unit 38.

The image collection data analyzer 37 detects user state information by analyzing image collection data transmitted from the self management application 6 using a text analysis algorithm learned by the learner 35.

In addition, the user state information detected by the image collection data analysis unit 37 is input to the search and extraction unit 38.

The search and extraction unit 38 receives user state information from the text collection data analysis unit 36, and receives user state information input from the image collection data analysis unit 37. In this case, the user state information detected by the text collection data analysis unit 36 and the user state information detected by the image collection data analysis unit 37 may be detected in the same or different states.

In addition, the search and extraction unit 38 is connected to each of the external information providing server 9-1, ..., (9-N) of Figs. Extracts information corresponding to the user state information.

In this case, the information extracted by the search and extraction unit 38 may include 1) counseling information of a professional counselor according to the user's state, if the connected external information providing server is the mental counseling server 92, and 2) the access. If the external information providing server is a healthcare information providing server 94 may be health care information including the type and method of exercise to improve the user state, 3) if the connected external information providing server provides coordinate recommendation information In the case of the server 96, it may be coordination recommendation information for improving a user state.

In addition, the data extracted by the search and extraction unit 38 are input to the customized self management information generation unit 39.

The customized self management information generation unit 39 generates the customized self management information by integrating the data extracted by the search and extraction unit 38.

In addition, the customized self management information generated by the customized self management information generating unit 39 is transmitted to the self management application 6 through the data transmitting and receiving unit 32 under the control of the controller 30.

As illustrated in FIG. 11, the matching information processing unit 40 is driven by the first processing unit 41 driven when the matching information is input under the control of the control unit 30, and an image is input under the control of the control unit 30. It consists of a second processing section 42 that is driven when the.

That is, the first processing unit 41 is driven when receiving the second matching information registration request data from the self management application 6, and the second processing unit 42 transmits the user status information request data from the self management application 6. It is driven when it is received.

The first processor 41 includes a first image analysis module 411, a facial feature and user state information matching module 412, and a registration module 413.

The first image analysis module 411 detects facial features from the images by analyzing the input image (face) using a preset facial feature detection algorithm.

At this time, the facial feature detection algorithm is an algorithm for detecting a feature from the face of the object, and the technique of the facial feature detection algorithm as a variety of known methods such as Korean Patent No. 10-1326221, Korean Patent No. 10-1839827 and the like; The technique can be applied.

The facial feature and user state information matching module 412 matches the facial feature information detected by the first image analysis module 411 with the input user state information.

The registration module 413 stores the data matched by the facial feature and the user state information matching module 412 in the database unit 31.

The second processor 42 includes a second image analysis module 421, a search module 422, and an extraction module 423.

The second image analysis module 421 detects facial features from the input image using a preset facial feature detection algorithm.

The search module 422 searches the database unit 31 for whether there is matched data corresponding to the facial features detected by the second image analysis module 421.

The extraction module 423 extracts the matched data corresponding to the facial features detected by the second image analysis module 421 among the matched data stored in the database unit 31 by the search module 422.

In addition, the extraction module 423 detects user state information of the extracted matched data.

At this time, if the user state information is detected by the extraction module 423, the control unit 30 controls the data transmission and reception unit 32 so that the detected user state information is transmitted to the self management application 6, and the self management application 6 ) Receives the user status information according to the user status information request from the management server 3, inputs the received user status information to the image mode manager 65, and the image mode manager 65 inputs the user status information. Display through the image interface.

The magnetic paradigm information manager 43 is driven at predetermined periods to generate magnetic paradigm information including a user's pattern, habits, and tastes by utilizing data stored in the database 31.

In addition, when the magnetic paradigm information manager 43 receives the magnetic paradigm information from the magnetic management application 6, the magnetic paradigm information manager 43 extracts the magnetic paradigm information of the corresponding user. At this time, the extracted magnetic paradigm information is transmitted to the magnetic management application 6 under the control of the controller 30.

As such, the personalized self management information providing system 1 according to the embodiment of the present invention improves the convenience of use by automatically providing the personalized self management information according to the user's state without the user having to perform a separate operation and operation. Depression, panic disorder, anxiety, compulsion, and mood swings caused by various stresses can significantly improve the emotional response of the user.

In addition, the personalized self-management information providing system (1) of the present invention generates the user's diary, memo, SNS content by storing the database and then analyzing the statistical data about it to generate magnetic paradigm information such as user's pattern, habits and tastes And by updating and providing according to the user's request, the user can be provided with a variety of information related to his or her own without performing a separate operation and operation.

In addition, the personalized self-management information providing system 1 of the present invention, while the self-management application 6 collects the text generated by the user and the image taken by the user during the preset period T, the management server is a machine learning algorithm. By analyzing the collected text and image using the to detect the user status information, it is possible to increase the service reliability and accuracy by automatically detecting the user's state accurately without a separate user operation.

In addition, the personalized self-management information providing system 1 of the present invention, when the self-management application 6 provides the self-management information and self-paradigm information to the user at the request of the user, by using the avatar selected by the user, text and voice It is configured to output and provide the information can be maximized efficiency and ease of use.

In addition, the personalized self-management information providing system (1) of the present invention, if the management server (3) user state information is detected, medical counseling server, mental counseling server, meditation information providing server, healthcare information providing server, religious book information provision It is configured to extract the self management information corresponding to the user's status and provide it to the user by accessing external information providing server such as server, coordination recommendation information providing server, four weeks information providing server, and other information providing server. Self management information can be provided.

Claims

In the customized self management information providing system for providing self management information:

The customized self management information providing system

A mobile terminal in which a self-management application for collecting text input by a user during a preset period T and transmitting text collection data to the outside is installed;

External information providing servers for generating and storing self-management information for each user state information;

Analyze the text collection data transmitted from the mobile terminal using a predetermined text analysis algorithm to detect user status information, and then access each of the external information providing servers to extract self management information corresponding to the detected user status information. And a management server for transmitting the customized self management information integrating the extracted self management information to the self management application.

The self management application displays the customized self management information received from the management server through the monitor of the mobile terminal,

The self-management application further includes a diary mode management unit,

The weather mode management unit

A diary interface providing module for providing a diary interface which is a Graphic User Interface (GUI) including an input field for receiving a diary text which is text related to a diary from a user;

A first input module for receiving text input through a diary interface provided by the diary interface providing module;

And a registration module for requesting registration of diary contents by transmitting diary contents including text input by the first input module to the management server.

When the management server receives a request for registration of diary content from the self-management application, the received diary content is stored and included in the previously registered diary content,

The self-management application further includes a collecting unit and a collection data analysis request unit which is driven every predetermined period (T),

The collection unit

A diary content collection module for collecting text of diary content input by the first input module during the period T;

A search keyword collection module for collecting a search keyword input by the user through the mobile terminal during the period (T);

An SNS content collection module for collecting the text registered by the user in the SNS of his account during the period T;

And a text collection data generation module for generating text collection data including text collected by the diary content collection module, the search keyword collection module, and the SNS content collection module.

The collected data analysis request unit

When text collection data is generated by the collection unit, the generated text collection data is transmitted to the management server to request an analysis,

The mobile terminal further includes a camera,

The diary interface further includes an image input field for receiving an image from a user,

The first input module of the diary mode manager receives an image input through the diary interface,

The diary content collection module of the collection unit further collects the image of the diary content input by the first input module during the period (T),

The SNS content collection module of the collector further collects the image registered by the user in the SNS of his account during the period (T),

The collection unit

And an image collection data generation module for generating image collection data including the image collected by the diary content collection module and the SNS content collection module.

The collected data analysis request unit

When the image collection data is generated by the collection unit, the generated image collection data is transmitted to the management server to request an analysis,

The self management application further includes an image mode manager,

The image mode management unit

An image display field in which the image photographed by the camera is displayed, an operation button for operating the camera, a status information input field for receiving user status information from a user, and user status information received from the management server; An image interface providing module for providing an image interface including a user status information display column;

An input module for receiving an image or user state information from a user through the image interface;

A matching information generation module which is driven when the image and the user state information are input by the input module to generate second matching information matching the input image and the user state information;

A registration request module which is driven when the second matching information is generated by the matching information generating module and transmits the generated second matching information to the management server to request registration;

And a status request module which is driven when only an image is input without inputting user status information by the input module and transmits the input image to the management server to request status information.

The management server

And a matching information management unit including a first processing unit driven when receiving registration request of the second matching information from the self management application, and a second processing unit driven when receiving user state information from the self management application;

The first processing unit

A first image analysis module configured to detect a facial feature from the input image by analyzing the input image by using a preset facial feature detection algorithm which is an algorithm for detecting facial features from the facial object;

A facial feature and user state information matching module for matching the facial feature information detected by the first image analysis module with the input user state information;

And a registration module for storing data matched by the facial feature and user state information matching module.

The second processing unit

A second image analysis module that detects a facial feature from an input image using the facial feature detection algorithm;

A search module for searching data previously stored by the registration module whether information corresponding to the facial features detected by the second image analysis module exists;

After extracting the matched data corresponding to the facial feature detected by the second image analysis module among the data previously stored by the search module, the user state information is detected from the extracted matched data, and the detected user state information is extracted. An extraction module for transmitting to the self-management application,

The self management application

And receiving the user status information according to the request of the user status information to the management server, and displaying the user status information received in the user status information display column of the image interface.
The method of claim 1, wherein the management server

Personalized self management information providing system characterized in that for detecting the user state information by analyzing the image collection data transmitted from the self management application using a predetermined image analysis algorithm.
The method according to claim 2, wherein the text analysis algorithm or the image analysis algorithm applied to the management server is a mapping relationship between the text or image and the user status information using text or an image as input data and user status information as an output value. Personalized self-management information providing system, characterized in that the machine learning algorithm learning the model from a plurality of data.
The method of claim 3, wherein the external information providing server

A medical counseling server, a mental counseling server, a meditation information providing server, a health care information providing server, a religious book information providing server, a cody recommendation information providing server, and a four week information providing server,

The medical counseling server is a server for providing prescription information of medical staff according to user status information, and the mental counseling server is a server for providing counseling information of a professional counselor according to user status information, and the meditation information providing server is user status information. The server provides a type and method of meditation to improve the health information providing server is a server providing a type and method of exercise to improve the user state information, the religious book information providing server is the user's state It is a server for providing a phrase of a religious book to improve information, the coordination recommendation information providing server is a server for recommending coordination to improve the user's status information, the four weeks information providing server is based on the date of birth of the user When providing personalized self-management information, characterized in that the server provides four weeks information System.