KR20230120697A - Diet management system for adolescent growth and underlying disease patients - Google Patents

Abstract

The present invention relates to a diet management system for adolescent growth and patients with underlying diseases. The system comprises: at least one user terminal device which obtains image or video information of food consumed by an adolescent or a user with an underlying disease through a recording device and transmits the same to a management server; and a management server which analyzes the nutritional information recommended for a user through big data information including the user's physical information and medical information, and provides a diet management solution corresponding to the user based on analysis results and information obtained by analyzing the transmitted food image or video information.

Description

Diet management system for adolescent growth and underlying disease patients}

The present invention relates to a diet management system for adolescent growth and patients with underlying diseases, and more particularly, analyzes recommended nutritional information for users through big data information including adolescent user body information and user medical information with underlying diseases , It relates to a diet management system for adolescents and patients with underlying diseases that provides a diet management solution corresponding to the user based on the analysis results and information obtained by analyzing the received food image or video information.

Nutritional intake is one of the most important conditions for maintaining health and treating disease. In order to maintain health, it is most important to consume a variety of nutrients in a balanced manner according to age and health condition, rather than consuming a lot of specific nutrients or choosing only healthy foods called 'super foods'.

This is a well-known fact, and for a long time, facilities such as schools and companies have been managing nutrient intake by hiring nutritionists, who are professional intellectuals, and supporting various nutrient intake by organizing meals, cafeterias, etc., to maintain the health of the group.

However, in the case of group meals such as school lunches or cafeterias, there is a limit to how individuals can manage their health through diets because one meal is provided to the entire group rather than a meal plan taking into account the individual's age or health condition. In addition, with the recent change in lifestyle, the proportion of convenience foods and eating out is increasing, and dietary diseases such as obesity and chronic degenerative diseases are continuously increasing.

In response to this, diet plans such as diet menus and healthy diets have been continuously developed. Recently, with the development of the Internet and PDA (Personal Digital Assistants), you can enter your age and weight by using the nutrient composition data for each menu, and you can adjust your diet accordingly. Personalized diet planning technology that supports balanced nutritional intake by providing In addition, large hospitals introduce diets incorporating the concept of treatment for each disease and accelerate the development of menus. Social movements to lead a healthy life through healthy meals are continuing.

Reflecting this social trend, recently, as in Korean Patent Registration No. 10-2043959, a diet recommendation system based on individual gene types and health record data matches and recommends diets suitable for individual diseases and health conditions. Although technologies, etc. have been suggested, the health checkup data used to measure the individual's health status in the prior art is mainly data obtained through health checkups conducted annually or every other year, and actively detects changes in the subject's health status. It is difficult to reflect it as a health condition, and it is difficult to apply effectively to the youth or the elderly, who show relatively frequent and rapid changes in health status. Furthermore, the above-mentioned patent No. However, based on the recommended food, it is cumbersome for the user to actually manage, and there is a problem that the effectiveness is low in practice.

[Patent Document 1] Korean Patent Registration No. 10-2219868. 2021.02.18. registration.

The present invention was created to solve the above problems, and an object thereof is to provide a diet management system for adolescent growth and underlying disease patients.

The objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood from the description below.

In order to achieve the above objects, a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention is disclosed. The system acquires food image or video information consumed by adolescents or users with underlying diseases through a photographing device and transmits at least one user terminal device to a management server and big data information including user body information and medical information. It may include a management server that analyzes nutritional information recommended to the user and provides a diet management solution corresponding to the user based on information obtained by analyzing the analysis result and the received food image or video information.

In addition, according to an embodiment of the present invention, the system provides the user with a diet management solution analyzed by a smart watch and a management server that collects user physical activity index data through at least one sensor Augmented reality (AR) It may further include glass.

In addition, according to an embodiment of the present invention, the management server analyzes big data information including user body information and medical information, and analyzes recommended nutritional information and insufficient nutritional information for the user's body. An analysis module, an image recognition module that recognizes food type, calorie and intake information using transmitted food image or video information, a database containing user body information, underlying disease patient information including medical information, and food nutrient data, and A solution providing module that creates a diet management solution that includes information on recommended foods for the user based on the analysis results of big data information including user body information and medical information and the type, calorie, and intake information of recognized foods. can include

In addition, according to an embodiment of the present invention, the management server may further include an online information sharing service module that interworks with an external server of a medical professional and shares generated diet management solution information.

In addition, according to one embodiment of the present invention, the image recognition module, through the result value obtained by inputting the received food image or video information to the artificial neural network model, at least one of the type, calories and intake of food consumed by the user Recognizable.

In addition, according to one embodiment of the present invention, the solution providing module, based on the recommended nutritional information and insufficient nutritional information for the user analyzed by the big data analysis module, the food corresponding to the recommended nutritional information and insufficient nutritional information The type and amount of food consumed may be determined, and a diet management solution including information on recommended and non-recommended foods among the determined food types may be generated and provided to the user terminal device.

In addition, according to one embodiment of the present invention, the solution providing module, recommended food and non-recommended food determined in the received food image or video information, at least one means of color, sound and vibration on the output food image It can be transmitted to at least one of a user terminal device, a smart watch, and augmented reality (AR) glasses by using.

In addition, according to an embodiment of the present invention, the solution providing module provides information predicting the growth of the adolescent user and the change in body shape and health condition of the user having an underlying disease according to the type of food consumed by the user, the amount of calories and the amount of intake. You can create a diet management solution that includes

In addition, according to an embodiment of the present invention, the solution providing module recommends nearby restaurant information containing food containing recommended nutrients based on recommended nutritional information for the body analyzed by the big data analysis module. can provide

In addition, according to one embodiment of the present invention, the image recognition module inputs the food image or video information transmitted from the user terminal or augmented reality (AR) glasses to the artificial neural network model, and the target object is detected in real time through the result value. Recognize and classify, and recognize the moving direction of the target object.

In addition, according to one embodiment of the present invention, the solution providing module determines whether or not the user consumes food, the type of food, the amount of calories, and the amount of food consumed, in consideration of the moving direction of the target object recognized by the image recognition module. can do.

In addition, according to an embodiment of the present invention, the solution providing module recognizes the user's ingestion when the moving direction of the target object moves in the downward direction of the augmented reality (AR) glass, and moves in the upward direction in front of the user. It can be recognized by the intake of the person located.

In addition, according to an embodiment of the present invention, the solution providing module determines the amount of food that the user has consumed by using the number of times the target object moves in a downward direction or an upward direction based on the augmented reality (AR) glass. can do.

Specific details for achieving the above objects will become clear with reference to embodiments to be described later in detail in conjunction with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below, and may be configured in a variety of different forms, so that the disclosure of the present invention is complete and those of ordinary skill in the art to which the present invention belongs ( It is provided hereafter to fully inform the "ordinary skilled person") of the scope of the invention.

According to an embodiment of the present invention, it is possible to provide a user-customized solution by providing a diet management solution based on the personal body information of different users.

In addition, according to one embodiment of the present invention, it is possible to minimize the hassle of input by analyzing the type and intake of food through food image or video information, and the smart watch or augmented reality (AR) glasses worn by the user By immediately outputting the analyzed information, the efficiency of diet management can be increased.

The effects of the present invention are not limited to the above-mentioned effects, and the potential effects expected by the technical features of the present invention will be clearly understood from the description below.

In order that the above-mentioned features of the present invention may be understood in detail, more specifically, with reference to the following embodiments, some of the embodiments are shown in the accompanying drawings. Also, like reference numbers in the drawings are intended to refer to the same or similar function throughout the various aspects. However, it should be noted that the accompanying drawings only show specific exemplary embodiments of the present invention, and are not considered to limit the scope of the present invention, and other embodiments having the same effect may be fully appreciated. let it do
1 is a diagram showing a schematic diagram of a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.
2 is a block diagram of a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.
3 is a diagram illustrating food recognition through an image recognition module of a management server of a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.
4 is an exemplary view of a result of a diet management solution through a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.
5 is an exemplary view of a result of a diet management solution output on an augmented reality (AR) glass according to a moving direction of a spoon according to an embodiment of the present invention.
6 is another example of a result of a diet management solution output on an augmented reality (AR) glass according to a moving direction of a spoon according to an embodiment of the present invention.
7 is a diagram illustrating an algorithm using a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail.

Various features of the invention disclosed in the claims may be better understood in consideration of the drawings and detailed description. Devices, methods, manufacturing methods, and various embodiments disclosed in the specification are provided for illustrative purposes. The disclosed structural and functional features are intended to enable a person skilled in the art to specifically implement various embodiments, and are not intended to limit the scope of the invention. The disclosed terms and phrases are intended to provide an easy-to-understand description of the various features of the disclosed invention, and are not intended to limit the scope of the invention.

In describing the present invention, if it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

Hereinafter, a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention will be described.

1 is a diagram showing a schematic diagram of a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention, and FIG. 2 is a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention. is a block diagram of

Referring to FIGS. 1 and 2, the diet management system 10 for adolescent growth and underlying disease patients includes at least one user terminal device 200, a management server 200 providing a diet management solution, and a smart watch 300. and augmented reality (AR) glasses 400 .

The management server 100, the user terminal device 200, the smart watch 300, and the augmented reality (AR) glasses 400 may communicate with each other using a network.

Here, the network is one of networks such as a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), a broadband network (BBN), and the Internet. Any of the above networks may be included.

In addition, the network may include any one or more of network topologies including, but not limited to, a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. don't In addition, the user terminal is interpreted to cover various types of wireless communication, that is, short-range wireless communication modules such as NFC (Near Field Communication), Bluetooth, RFID, WiFi, and ZigBee.

In one embodiment, the user terminal 100 may acquire food image or video information consumed by a teenager or a user with an underlying disease through a photographing device attached to the user terminal and transmit it to the management server 200 .

In addition, images or videos containing food consumed by the user may be captured and transmitted to the management server 200 through the user terminal 100 . The management server 200 receiving the food image or video analyzes the food image or video, analyzes the type of food consumed by the user, the amount of food, and the calories of the food, and transmits the analyzed content to the user, so that the user You can check information about the food you eat as you eat it.

Here, the user terminal 100 refers to a terminal capable of communication including a photographing function, a memory, and a processor.

In addition, the user terminal 100 corresponds to a device used to input and update personal information (eg, name, age, height, weight, body composition, exercise amount, etc.) of a youth or patient with an underlying disease into a youth information database, Information measured by linking the user terminal 100 with various peripheral devices connected through wireless communication such as Wi-Fi and Bluetooth can be automatically stored in the youth and underlying disease patient information database.

In addition, the user terminal 100 is also used to take and transmit photos and videos of food eaten, and various information can be checked through a display screen while managing eating habits.

In one embodiment, the management server 200 analyzes nutritional information recommended to the user through big data information including body information and medical information of the adolescent user, and analyzes the analysis result and the received food image or video information to Based on the acquired information, a diet management solution corresponding to the user may be provided.

In addition, the management server 200 may receive body information of the youth user through the user terminal 100 . Here, the user's body information includes the youth's name, age, height, weight, body composition, and amount of exercise. This is to determine nutritional components suitable for the user's body through analysis by receiving input of the user's body information in advance. It is to provide a user-customized diet management solution by identifying the difference between necessary and insufficient nutrients according to the user's physical condition.

More specifically, the management server 200 may include a big data analysis module 210, an image recognition module 230, a database 250, a solution providing module 270, and an online information sharing service module 290. .

In addition, the big data analysis module 210 may analyze big data information including user body information and medical information to analyze recommended nutritional information and insufficient nutritional information for the user's body.

3 is a diagram illustrating food recognition through an image recognition module of a management server of a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.

Referring to FIG. 3 , the image recognition module 230 may recognize the type of food, the amount of food consumed, and calories using the received food image or video information.

More specifically, the image recognition module 230 may recognize the type of food consumed by the user, the amount consumed, and the calories through the resulting value obtained by inputting the received food image or video information into the artificial neural network model.

Here, the artificial neural network model can be trained to recognize the type and amount of food using various food photos and information stored in the food nutrient database. Using the learned artificial neural network model, the user terminal 100 or the augmented reality (AR) glass 400 analyzes the type, calorie, and intake of food input from a photo or video input. It performs the function of classifying and recognizing several foods in an input photo or video one by one. When the trained artificial neural network model predicts the type, amount, and nutrient content of food, it is possible to improve learning accuracy by adding a process of receiving feedback on whether or not the prediction was accurately made through an expert terminal of a chef or nutritionist.

According to an embodiment, the artificial neural network model used by the image recognition module 230 of the management server 200 may refer to a computing system based on a biological neural network. Artificial intelligence or artificial neural networks can learn to perform tasks by considering multiple samples, unlike classical algorithms that perform tasks according to predefined conditions. An artificial neural network may have a structure in which artificial neurons are connected, and a connection between neurons may be referred to as a synapse. A neuron can process the received signal and transmit the processed signal to another neuron through a synapse. The output of a neuron may be referred to as activation, and a neuron and/or synapse may have a weight that may be varied, and depending on the weight, the influence of the signal processed by the neuron may increase or decrease. .

For example, an artificial neural network may be composed of a plurality of neural network layers. Each of the plurality of neural network layers has a plurality of weight values (weights), and a neural network operation is performed through an operation between an operation result of a previous layer and a plurality of weights. A plurality of weights possessed by a plurality of neural network layers may be optimized by a learning result of an artificial neural network.

For example, a plurality of weights may be modified and updated so that a loss value or a cost value obtained from an artificial intelligence model is reduced or minimized during a learning process. The artificial neural network according to the present disclosure may include a deep neural network (DNN), for example, a Convolutional Neural Network (CNN), a Deep Neural Network (DNN), a Recurrent Neural Network (RNN), and a Restricted Neural Network (RBM). Boltzmann Machine), Deep Belief Network (DBN), Bidirectional Recurrent Deep Neural Network (BRDNN), or Deep Q-Networks, but is not limited to the above examples.

In addition, the image recognition module 230 recognizes a target object in real time through a result obtained by inputting food image or video information transmitted from the user terminal 100 or the augmented reality (AR) glass 400 into an artificial neural network model. and classification, and the moving direction of the target object can be recognized.

More specifically, the image recognition module 230 may recognize a target object (eg, a spoon, chopsticks, fork, etc.) and may recognize a moving direction of the target object through motion analysis of the target object. Through the recognition of the target object, it is possible to distinguish the food that the user consumes from among the food prepared by the user, and it is possible to distinguish whether the user consumes the food or the user causes other people to consume it through the motion analysis of the target object.

In addition, the database 250 may include user body information, underlying disease patient information including medical information, and food nutrient data.

In addition, the database 250 exists separately for each category, and refers to a database that stores information on devices recently or currently used by adolescents, guardians of adolescents, patients with underlying diseases, and guardians of patients with underlying diseases to manage eating habits. . The device stored in the database 250 corresponds to a smart phone, an augmented reality (AR) glass, a smart watch, or any other device including a camera and a communication module.

In addition, the youth information database may store personal information (name, age, height, weight, body composition, momentum, etc.)

In addition, the personal information of adolescents stored in the youth information database can be accessed by doctors and medical experts in charge of youth growth who have been approved in advance, and can be used to periodically conduct face-to-face and non-face-to-face counseling for the growth and health of youth. .

In addition, the underlying disease patient information database is the personal information of the underlying disease patient (name, age, height, weight, underlying disease information, medications being taken, body composition, momentum, etc.) can be input and stored. The stored personal information of patients with underlying diseases can be accessed by doctors and medical experts in charge of patients with underlying diseases who have received permission in advance, and can be used for face-to-face and non-face-to-face counseling for the health management of patients with underlying diseases.

In addition, food nutrient databases are provided by nutritionists at schools or companies that provide group meals, chefs at restaurants that provide various foods (Korean, Western, Japanese, Chinese, etc.), and chefs at various delivery restaurants (pizza, chicken, hamburgers, etc.) Using a smartphone or computer, various information of each food menu (food name, food picture, price, food ingredients, production area of food ingredients, date of production of food ingredients, type and content of nutrients, level of spiciness, etc.) is transmitted and saved. can

In addition, the food nutrient database may store information for analyzing the amount of nutrients, the amount consumed by the user, the amount currently remaining, etc. with pictures or videos of the amount of food on bowls, plates, cups, and spoons.

In addition, the food nutrient database may store information on healthy foods and bad foods of the patient according to the growth of the adolescent and the type of underlying disease.

In addition, the database 250 may store programs for processing and controlling the processor, and may store data input to the management server 200 or output from the user terminal 100 .

In addition, the database 250 is a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (eg SD or XD memory). , 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), magnetic memory , magnetic disks, and optical disks, but the present disclosure is not limited thereto.

4 is an example of a result of a diet management solution through a diet management system for adolescent growth and patients with underlying diseases according to an embodiment of the present invention, and FIG. 6 is an example of a result of the diet management solution output on the AR glass, and FIG. 6 is an example of another result of the diet management solution output on the augmented reality (AR) glass according to the moving direction of the spoon according to an embodiment of the present invention. It is also

4 to 6, the solution providing module 270 based on the analysis result of the big data information including the user's body information and medical information and the recognized food intake, type of food, calories and intake , it is possible to create a diet management solution that includes information on recommended foods for the user.

More specifically, the solution providing module 270 determines the type of food corresponding to the recommended nutritional information and insufficient nutritional information based on the recommended nutritional information and insufficient nutritional information for the user analyzed by the big data analysis module 210. and the amount of food consumed, and a diet management solution including information for determining recommended foods and non-recommended foods among the determined types of foods may be generated and provided to the user terminal 100 .

In addition, the diet management solution provided to the user terminal 100 displays recommended food and non-recommended food determined in the received food image or video information in the color of the food image (eg, green for recommended food and red for non-recommended food). ) or sound, and the solution providing module 270 transmits the diet management solution to at least one of the user terminal 100, the smart watch 300, or the augmented reality (AR) glasses 400. can

For example, through the display of the user terminal 100, recommended food images may be displayed in green and non-recommended food images may be displayed in red, and feedback on the food to be consumed may be augmented by analyzing the moving direction of the user's spoon. It can be provided through reality (AR) glasses, and when additional intake is detected even when deprecated food or required calories are fully filled, the relevant fact can be provided through the vibration of the smart watch.

In addition, the solution provision module 270 may generate a diet management solution including information predicting the growth of the youth user and the change in body shape and health condition of the user having an underlying disease according to the type and amount of food consumed by the user. there is.

In addition, the solution providing module 270 includes recommended foods based on the nutritional information recommended for the user's body analyzed by the big data analysis module 210, or surroundings including foods containing recommended nutrients. Can recommend restaurant information.

In addition, when a teenager or a patient with an underlying disease obtains food photo and video information using the user terminal 100 or the augmented reality (AR) glass 400 and transmits it to the management server 200, the management server 200 The solution providing module 270 may provide information on the name and nutrient content of food in real time to the user terminal 100, the smart watch 300, or the augmented reality (AR) glass 400.

In addition, the solution providing module 270 may determine the presence or absence of food consumed by the user, the type of food, the amount of calories, and the amount of food consumed in consideration of the moving direction of the target object recognized by the image recognition module 230.

In addition, the presence or absence of food intake through the solution providing module 270 is based on the augmented reality (AR) glass, and when the moving direction of the target object moves in the downward direction of the augmented reality (AR) glass, the user consumes food and if the moving direction of the target object moves in the upward direction of the augmented reality (AR) glass, it can be recognized as intake by a person located in front of the user. This is to increase the accuracy of the result by analyzing only the information about the food that the user directly consumes through the analysis of the moving direction of the target object.

In addition, through the solution providing module 270, the amount and calories of food consumed by the user is determined by using the number of times the target object moves downward or upward based on the augmented reality (AR) glass. can judge

In addition, the online information sharing service module 290 is linked with an external server of a medical professional and can share the generated diet management solution information.

In addition, through the online information sharing service module 290, external expert groups can share information on the diet management solution, and medical experts can check the food and health conditions necessary for the growth of adolescents and the health of patients with underlying diseases. Youth growth counseling (eg, doctor, doctor in charge of underlying disease patients, etc.) remotely monitors information databases of adolescents and underlying disease patients, and can be used to periodically conduct face-to-face and non-face-to-face counseling for health management of underlying disease patients. .

In one embodiment, the smart watch 300 may collect user physical activity index data through at least one sensor.

More specifically, the smart watch 300 is worn by a user on a part of the body, can measure the activity of a teenager or a patient with an underlying disease by at least one sensor inherent in the smart watch 300, and the management server ( 200), it is possible to receive solution information including the required amount of activity so as not to become obese through activity analysis.

In addition, the smart watch 300 is interlocked with the augmented reality (AR) glasses 400, and when the user tries to eat food that is prohibited or refrained from, the management server 200 transmits the corresponding information through vibration or voice and image. Notifications can be provided.

In addition, the smart watch 300 may receive information on the possibility of obesity predicted through the ingested nutrients and exercise amount analyzed by the management server 200 and information on insufficient nutrients.

In one embodiment, the augmented reality (AR) glasses 400 may provide the user with a diet management solution analyzed by the management server.

In addition, the augmented reality (AR) glasses 400 are used not only to take and transmit pictures and videos of food eaten by adolescents or patients with underlying diseases, but also to send information on the food currently being eaten (such as the name and nutrient content of the food) to the user. can be provided to

In addition, augmented reality (AR) glasses 400 provide various information through color (green, red, etc.) and sound so that the growth of adolescents and patients with underlying diseases can check good and bad foods in real time. can manage In addition, through the augmented reality (AR) glass 400, it is possible to check the amount of nutrients accumulated for one day at a time, and according to the daily nutrient intake accumulated from the next meal to the present from the management server 200 You may receive a recommendation or non-recommendation service for food and nutrients.

In addition, the augmented reality (AR) glass 400 provides a notification service from the management server 200 so as not to consume through the vibration or voice of the smart watch 300 when the user attempts to eat the food to be refrained from or prohibited. For example, the food image is transmitted to the management server 400 through the augmented reality (AR) glass 400 and analyzed, and the user's spoon and chopsticks point to or pick up a specific food, etc. are analyzed and consumed The stop notification may be provided to the smart watch through vibration or sound, and output of a warning mark on the food image of the augmented reality (AR) glass 400.

7 is a diagram illustrating an algorithm using a diet management system for adolescent growth and underlying disease patients according to an embodiment of the present invention.

Referring to FIG. 7 , when the system 10 for managing the diet of patients with growth and underlying diseases of adolescents accesses the system through the user terminal 100, after confirming the user's personal information pre-stored in the management server 200, the user Checking the presence of underlying disease, and also classifying overweight or underweight to configure a diet management solution suitable for the user's characteristics, input to the user's terminal 100, smart watch 300 and augmented reality (AR) glasses 400 The user's diet can be managed by displaying recommended and non-recommended foods in the video and providing information on calories and intake of food.

The above description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention.

Therefore, the embodiments disclosed in this specification are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the present invention is not limited by these embodiments.

The protection scope of the present invention should be interpreted according to the claims, and all technical ideas within the equivalent range should be understood to be included in the scope of the present invention.

10: system
100: user terminal
200: management server
210: big data analysis module
230: image recognition module
250: database
270: solution provision module
290: online information sharing service module
300: smart watch
400: augmented reality (AR) glasses

Claims (13)

In the diet management system of adolescent growth and underlying disease patients,
At least one user terminal device that obtains food image or video information consumed by a teenager or a user with an underlying disease through a photographing device and transmits it to a management server; and
Analyzing nutritional information recommended for the user through big data information including user body information and medical information, and corresponding to the user based on the information obtained by analyzing the analysis result and the received food image or video information Including a management server that provides a diet management solution to
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 1,
The system,
A smart watch that collects user physical activity index data through at least one sensor; and
Further comprising an augmented reality (AR) glass that provides the user with a diet management solution analyzed by the management server.
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 1,
The management server,
a big data analysis module for analyzing recommended nutritional information and insufficient nutritional information for the user's body by analyzing the big data information including the user's body information and medical information;
An image recognition module for recognizing food type, calorie and intake information using the received food image or video information;
A database including user body information, underlying disease patient information including medical information, and food and nutrient data; and
Based on the analysis result of the big data information including the user's body information and medical information and the type, calorie and intake information of the recognized food, generating the diet management solution including information on the recommended food for the user Including a solution providing module,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The management server,
Further comprising an online information sharing service module that is linked with an external server of a medical professional and shares the generated diet management solution information.
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The image recognition module,
Recognizing at least one of the type, calories, and intake of food consumed by the user through the result value obtained by inputting the received food image or video information into the artificial neural network model,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The solution providing module,
Based on the recommended nutritional information and insufficient nutritional information for the user analyzed by the big data analysis module, the type and intake of food corresponding to the recommended nutritional information and insufficient nutritional information are determined, and among the determined food types, Generating the diet management solution including information for determining recommended foods and non-recommended foods for the user and providing it to the user terminal device,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 6,
The solution providing module,
The user terminal device, smart watch and augmented reality ( AR) transmitting to at least one device of glass;
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The solution providing module,
Generating the diet management solution including information predicting the growth of the adolescent user and the change in body shape and health condition of the user having an underlying disease according to the type, calorie and intake of food consumed by the user,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The solution providing module,
Based on the nutritional information recommended for the body analyzed by the big data analysis module, recommending and providing nearby restaurant information containing food containing recommended nutrients,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 3,
The image recognition module,
Recognizing and classifying the target object in real time through the result value obtained by inputting the food image or video information transmitted from the user terminal or augmented reality (AR) glass into the artificial neural network model, and recognizing the moving direction of the target object,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 10,
The solution providing module,
In consideration of the moving direction of the target object recognized by the image recognition module, determining whether or not the user consumes food, the type of food, the amount of calories and the amount of food consumed,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 11,
The solution providing module,
If the moving direction of the target object moves in the downward direction of the augmented reality (AR) glasses, it is recognized as intake by the user, and if it moves in the upward direction, it is recognized as intake by a person located in front of the user,
A diet management system for adolescent growth and patients with underlying diseases.
According to claim 11,
The solution providing module,
determining the amount of food consumed by the user by using the number of times the target object moves downward or upward with reference to the augmented reality (AR) glasses;
A diet management system for adolescent growth and patients with underlying diseases.