KR20220061294A - System for real time training in non-face-to-face and the method thereof - Google Patents

Abstract

Provided are a non-face-to-face real-time training service system to increase health management efficiency and a method thereof. According to an embodiment of the present invention, a non-face-to-face real-time training service method comprises the following steps of: entering and transmitting, by a user terminal, an answer to a questionnaire provided from a service server to the service server; selecting, by the user terminal, an exercise level; entering, by the user terminal, conditions for each selected exercise level; recommending, by the service server, a trainer satisfying the input condition; establishing, by the service server, communication between a trainer terminal and the user terminal to attend a non-face-to-face training course by the trainer selected by the user terminal from the recommended trainers; recording, by the user terminal, the user's exercise results during the provided training course and transmitting and storing the results to the service server; entering and transmitting, by the user terminal, evaluation of the trainer to the service server; recommending, by the service server, a product related to the selected exercise level; and capturing and transmitting, by the user terminal, a process of performing tasks for the training courses to the service server.

Description

Non-face-to-face real-time training service system and method thereof

The present invention relates to a non-face-to-face real-time training service system and a method therefor, and in particular, it is possible to perform 1:1 training with a trainer in a non-face-to-face manner, while at the same time providing a specialized exercise program by collaboration of doctors, sports/training medical experts and professional trainers. It relates to a non-face-to-face real-time training service system and method that can provide serviceable exercise-related information and health information.

It is not easy for modern people to set aside time for exercise in their busy daily life. Even people who exercise relatively often, it takes more time to prepare for exercise, such as the time to go to and from the gym, than the time to actually exercise, so the frequency of exercise decreases.

In particular, due to the recent corona crisis, the time spent at home is increasing while refraining from going out. Moreover, it is a situation in which people are reluctant to go out for exercise due to concerns about infection.

In addition, in the case of a style that requires a trainer to exercise, it is rare to exercise alone. For this style, you need someone to work out with or manage your workout schedule.

On the other hand, exercise-related information collected online, such as the Internet, only follows a consistent posture, so it is not helpful at all to those who need customized exercise according to their exercise tendency, physical condition, pain, etc. This causes the user to have a wrong exercise habit, which actually harms the health of the body.

Therefore, there is a need for a system that can provide information such as correct exercise information useful for physical health and equipment necessary for exercise while taking non-face-to-face lectures through a trainer at home.

KR 2020-0101107 A

In order to solve the problems of the prior art as described above, an embodiment of the present invention allows 1:1 training with a trainer in a non-face-to-face manner, and at the same time, a specialized exercise program by collaboration between doctors, sports/training medical experts, and professional trainers To provide a non-face-to-face real-time training service system and method that can service

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

According to one aspect of the present invention for solving the above problems, the method comprising: inputting, by a user terminal, an answer to a questionnaire provided from a service server and transmitting the answer to the service server; selecting an exercise level by the user terminal; inputting conditions for each exercise level selected by the user terminal; recommending, by the service server, a trainer satisfying the input condition; establishing, by the service server, communication between a corresponding trainer terminal and the user terminal so as to take a non-face-to-face training course by a trainer selected by the user terminal from among the recommended trainers; recording, by the user terminal, the exercise result of the user while taking the provided training course, and transmitting it to the service server for storage; transmitting, by the user terminal, an evaluation of the trainer to the service server; recommending, by the service server, a product related to the selected exercise level; and by the user terminal, photographing a task performance process for the received training course and transmitting it to the service server.

In an embodiment, the exercise level may be any one of a basic exercise using the bare body, an exercise using a specific instrument, and an offline exercise using an offline gym.

In an embodiment, the non-face-to-face real-time training service method may further include, in the service server, recommending an exercise using a bare body that meets the input condition when the exercise level is a basic exercise. Here, the step of inputting the condition includes inputting the exercise purpose, the type of exercise desired by the user, physical condition, and age, or receiving and inputting a search result from the answers of the questionnaire in the service server, and recommending the trainer. In the step of recommending a trainer providing a course for an exercise selected by the user among the recommended workouts, the step of recommending the product may recommend a wearable device for measuring an exercise result.

In one embodiment, when the exercise level is exercise using equipment, the step of inputting the condition includes inputting the exercise equipment owned by the user, or receiving and inputting the exercise equipment possessed by the service server from among the answers of the questionnaire, , the step of recommending the trainer recommends a trainer having the input exercise equipment, and the step of recommending the product may recommend an exercise equipment equipped with an IoT function to measure the exercise result and transmit it to the service server. .

In an embodiment, the non-face-to-face real-time training service method may further include issuing, in the service server, a QR code for entering and exiting a dedicated gym when the exercise level is offline exercise. Here, the step of recommending the trainer recommends, according to the user's selection, a trainer who provides an online remote course using the corresponding exercise equipment or a trainer who resides in the dedicated gym and provides an on-site course, and the step of storing the recommendation can transmit the exercise results measured in the exercise equipment used in the course to the service server through the issued QR code.

In one embodiment, the step of recommending the trainer may recommend a trainer through a matching service according to the course time, course tuition, exercise purpose, exercise type, and trainer type using AI analysis based on the input questionnaire. .

In one embodiment, the step of recommending the trainer recommends a trainer that satisfies the input condition according to the priority, and the step of establishing the communication includes the course of the trainer selected by the user to the user terminal for a certain period of time. In the step of recommending the trainer, after taking the free course, if you select the steam function, the corresponding trainer is recommended as a candidate, a trainer highly related to the steamed trainer is recommended, and after taking the free course If the user cancels, recommendations for the trainer are restricted, and depending on the reason for cancellation, the trainer can be deleted from the entire recommendation list or deleted from the related exercise list.

In one embodiment, the storing step stores the video taken during the course, the exercise result input by the user, the information measured by the measuring system, the exercise result measured by the wearable device or the IoT-equipped exercise equipment, and the stored The exercise result information is provided to the trainer terminal of the next training course to recommend an exercise suitable for the corresponding exercise result, and the step of establishing the communication is exercise result information stored during the previous course, body changes including weight and body fat, and exercise It is possible to provide a performance graph for changes in physical strength, including intensity, exercise frequency, and performance analysis.

In one embodiment, the step of photographing the task performance process and transmitting it to the service server is task performance result information, and a video captured while performing the task and a measured or input exercise result are transmitted, and the service server transmits the task The task performance result information may be provided to the corresponding trainer terminal to confirm whether or not to perform, evaluate the exercise result, and perform an additional exercise recommendation.

In one embodiment, the non-face-to-face real-time training service method may further include, in the service server, adjusting the level of the trainer according to the evaluation result. Here, the step of adjusting the level adjusts the compensation for each level, and by authenticating a trainer above a certain level as an authentication partner, the compensation can be maintained for a certain period of time.

In one embodiment, the step of adjusting the level sets the tuition or fee rate for the trainer according to the order of popularity, sets a fixed-time course at a higher tuition than a random-time course, and in the order of basic exercise, exercise using equipment, and offline exercise You can set the tuition fee high, set the fee low, and charge the certified partner higher tuition and lower fees than the start partner.

In one embodiment, the step of establishing the communication may provide automatic translation with voice or subtitles during communication with the corresponding trainer according to the user's selection.

In an embodiment, in the step of recommending the product, when the user selects the recommended product, a social commerce server in which the product is registered may be connected.

In one embodiment, in the step of recommending the trainer, when the user requests trainer information, the SNS server in which the corresponding trainer's SNS account is registered may be connected to check the course or activity of the corresponding trainer.

According to another aspect of the present invention, a user terminal for inputting and transmitting an answer to a questionnaire, selecting an exercise level and inputting conditions for each selected exercise level; a trainer terminal providing a selected training course in the user terminal; and a service server for establishing communication between the user terminal and the trainer terminal to recommend a trainer that satisfies the input condition, and to take a non-face-to-face training course by a trainer selected by the user terminal from among the recommended trainers; and , The user terminal records the exercise result of the user through the provided training course and transmits it to the service server, inputs the evaluation of the trainer and transmits it to the service server, and performs a task for the received training course A non-face-to-face real-time training service system is provided for photographing and transmitting to the service server, where the service server recommends a product related to the selected exercise level.

In one embodiment, the service server performs big data tracking of individual information including body data, region, age, and exercise information through AI analysis, and analyzes the body type based on the user's video and suitable for the body type. Exercise can be recommended.

The non-face-to-face real-time training service system and method according to an embodiment of the present invention provides a 1:1 lecture with a trainer through online non-face-to-face, so that you can exercise effectively and safely at home without worrying about a busy life or corona infection. Therefore, it is possible to improve the health of the user.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention provide a specialized exercise program by collaboration of doctors, sports/training medical experts, and professional trainers, so that you can train to have correct exercise habits. there is.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention record, store, and manage the user's exercise amount, and provide it to the corresponding trainer at the next course, so that the exercise process is continuously performed even when the trainer is changed. It can be managed, so management efficiency can be improved.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention can induce active participation of the trainer by adjusting the level of the trainer based on the user's evaluation of the trainer and rewarding, thereby providing an excellent trainer. It can be secured on a large scale, while at the same time improving the participation and activeness of the trainer.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention provide products related to the exercise being taken through a social commerce server, so that it is possible to easily build an exercise environment during exercise or according to a trainer's recommendation. Therefore, continuous exercise can be guaranteed.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention can effectively manage training by recording a task performance process and having the trainer evaluate it, and quickly form an exercise habit through the trainer's feedback may be encouraged to do so.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention provide a step-by-step configuration such as a basic exercise using a bare body, an exercise using an instrument using a specific instrument, and an offline exercise, so that the user can achieve a desired exercise goal. Because it can be achieved systematically, it is possible to improve the exercise utility of the user.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention recommends a trainer through a matching service using AI based on an input questionnaire, thereby effectively selecting a trainer suitable for a user. Reliability can be improved.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention automatically translates into voice or subtitles when communicating with a corresponding trainer according to a user's selection, so that it is not limited in Korea, but through trainers around the world Training can be provided, so the limitations of regions and languages can be overcome.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention perform big data tracking of each individual's accumulated exercise information through AI analysis, so that a large amount of personal exercise information can be used for customer or system improvement. Therefore, it is possible to re-create new services through big data.

In addition, the non-face-to-face real-time training service system and method according to an embodiment of the present invention analyzes the user's body type based on the user's exercise image and recommends a suitable exercise, thereby extracting unknown information from the user's questionnaire information from the user's body type. Because it can be extracted, it can ensure more effective exercise recommendation and management.

1 is a block diagram illustrating a non-face-to-face real-time training service system according to an embodiment of the present invention.
2 is a diagram illustrating a user terminal screen of a non-face-to-face real-time training service system according to an embodiment of the present invention.
3 is a diagram showing an additional configuration of the user terminal side of the non-face-to-face real-time training service system according to an embodiment of the present invention.
4 is a flowchart illustrating a non-face-to-face real-time training service method according to an embodiment of the present invention.
5 is a flowchart illustrating a basic exercise service procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.
6 is a flowchart illustrating an exercise service procedure using an appliance in a non-face-to-face real-time training service method according to an embodiment of the present invention.
7 is a flowchart illustrating an offline exercise service procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.
8 is a flowchart illustrating a trainer level adjustment procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.
9 is a flowchart illustrating a course selection procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily carry out the present invention. The present invention may be embodied in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and the same reference numerals are given to the same or similar components throughout the specification.

The embodiments of the present invention are provided to more completely explain the present invention to those of ordinary skill in the art, and the embodiments described below may be modified in various other forms, The scope is not limited to the following examples. Rather, these examples are provided so as to more fully and complete the present invention, and to fully convey the spirit of the present invention to those skilled in the art.

The terminology used herein is used to describe specific embodiments, not to limit the present invention. As used herein, the singular form may include the plural form unless the context clearly dictates otherwise. Also, as used herein, “comprise” and/or “comprising” refers to specifying the presence of the recited shapes, numbers, steps, actions, members, elements, and/or groups thereof. and does not exclude the presence or addition of one or more other shapes, numbers, movements, members, elements and/or groups. As used herein, the term “and/or” includes any one and all combinations of one or more of those listed items.

Although the terms first, second, etc. are used herein to describe various elements, regions and/or regions, it is to be understood that these elements, parts, regions, layers and/or regions are not limited by these terms. . These terms do not imply a specific order, upper and lower, or superiority, and are used only to distinguish one member, region or region from another member, region or region. Accordingly, a first member, region or region to be described below may refer to a second member, region or region without departing from the teachings of the present invention.

In this specification, terms such as “or”, “at least one” and the like may indicate one of the words listed together, or a combination of two or more. For example, "A or B" or "at least one of A and B" may include only one of A or B, or both A and B.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described with reference to drawings schematically illustrating embodiments of the present invention. In the drawings, variations of the illustrated shape may be expected, for example depending on manufacturing technology and/or tolerances. Therefore, the embodiment of the present invention should not be construed as limited to the specific shape of the region shown in this specification, but should include, for example, a shape change caused by manufacturing.

1 is a block diagram illustrating a non-face-to-face real-time training service system according to an embodiment of the present invention.

Referring to FIG. 1 , a non-face-to-face real-time training service system 100 according to an embodiment of the present invention includes a user terminal 110 , a service server 120 , an instructor terminal 130 , a gym server 140 , and social commerce. It may include a server 150 and an SNS server 160 .

The non-face-to-face real-time training service system 100 is a system for providing a non-face-to-face dedicated training service researched in collaboration with orthopedic surgery, rehabilitation medicine, sports/training specialized medical experts, doctors, and professional trainers. Here, exercise purpose, exercise type, physical condition, exercise preference, etc. can be investigated by a questionnaire based on opinions of medical experts and doctors specializing in sports/training.

For example, the exercise purpose may include exercise for pregnant women, relieving severe obesity, dieting, strengthening muscle strength, strengthening flexibility, vitality of life, body correction, and the like. The contents described as other items may be updated as exercise purpose items according to the judgment of sports/training medical experts, doctors, and trainers according to the degree of accumulation.

The physical condition may include pain or discomfort for each specific body part, such as a neck, shoulder, waist, knee, and pelvis.

The type of exercise may include Pilates, yoga, spinning, aerobics, fitness, and Group eXercise (GX). However, the type of exercise is not limited thereto, and may include other exercises that require training or lessons, such as golf, skiing, and cycling.

Accordingly, the non-face-to-face real-time training service system 100 according to an embodiment of the present invention can provide a specialized exercise program by collaboration of a doctor, a sports/training medical professional, and a professional trainer, so that the user can have a correct exercise habit. can be trained to have.

The user terminal 110 may be a user terminal for accessing the service server 120 to take a training course. For example, the user terminal 110 may be a portable electronic device such as a notebook PC, a tablet PC, or a smart phone. In addition, the user terminal 110 may be a computer device such as a desktop PC that can access the service server 120 . Here, the user terminal 110 may include a display touch panel, a camera, a speaker, and a microphone for interactive online remote learning.

The user terminal 110 may communicate with the trainer terminal 130 through the service server 120 . As an example, the user terminal 110 may perform wireless communication such as 5th generation communication (5G), long term evolution-advanced (LTE-A), long term evolution (LTE), and wireless fidelity (Wi-Fi). and can perform wired cable communication.

The user terminal 110 may transmit an answer to the questionnaire provided from the service server 120 by a user inputted thereto to the service server 120 . Here, the questionnaire provided from the service server 120 may be prepared based on opinions of medical experts specializing in sports/training and doctors. For example, the questionnaire may be an item for researching exercise purpose, exercise type, physical condition, exercise preference, and the like.

The user terminal 110 may select an exercise level by the user and transmit it to the service server 120 . Here, the exercise level may be any one of a basic exercise using the bare body, an exercise using an instrument using a specific instrument, and an offline exercise using an offline gym. In this case, the user terminal 110 may select an exercise level according to the user's physical strength or exercise ability.

Thereby, since the non-face-to-face real-time training service system 100 according to the embodiment of the present invention can manage the exercise by level, it is possible to systematically achieve the desired exercise goal by the user, thereby improving the exercise utility of the user.

The user terminal 110 may input conditions for each exercise level selected by the user. Here, the input exercise condition may be a condition set for each exercise level. As an example, the exercise condition may include an exercise purpose, exercise condition, user information, and possession exercise equipment.

The user terminal 110 may select one of the trainers recommended by the user from the service server 120 . Here, the user terminal 110 may request trainer information from the service server 120 . In this case, the user terminal 110 may receive the course or activity contents of the trainer from the SNS server 160 interworking with the service server 120 . Therefore, the user can check the course or activity of the trainer through the user terminal 110 and select a trainer based on this.

The user terminal 110 may record the exercise result of the user while taking a training course provided by the service server 120 and transmit it to the service server 120 . For example, the user terminal 110 may transmit to the service server 120 a video captured while attending class, an exercise result input by the user, and information measured by various measurement systems. Here, the exercise result may include an exercise amount of the user and a change amount of the body accordingly. For example, the amount of body change may include body weight, body fat, and heart rate.

The user terminal 110 may input the evaluation of the trainer of the course taken and transmit it to the service server 120 . Here, the trainer evaluation may be reflected in adjusting the trainer level as will be described later.

The user terminal 110 may take a picture of the task performance process for the received training course and transmit it to the service server 120 . As an example, the user terminal 110 may transmit, as task performance result information, an exercise result measured or inputted by a video captured while performing a task and various measuring systems or an exercise device equipped with an IoT function to the service server 120 . .

The service server 120 may be a server of an operator operating a non-face-to-face real-time training service. For example, the service server 120 may be a server capable of wireless communication or wired cable communication such as 5G, LTE-A, LTE, and Wi-Fi. Here, the service server 120 may include a control unit and a database for a non-face-to-face real-time training service. In this case, the control unit may perform data analysis throughout the non-face-to-face real-time training service by the AI algorithm.

The service server 120 may recommend a trainer that satisfies the condition input from the user terminal 110 . In this case, the service server 120 may recommend a trainer suitable for the user through a matching service using AI analysis based on the questionnaire input from the user terminal 110 . For example, the service server 120 may recommend a trainer suitable for a matching service according to the course time, course tuition, exercise purpose, exercise type, and trainer type.

Accordingly, since the non-face-to-face real-time training service system 100 according to an embodiment of the present invention provides a matching service through AI analysis, it is possible to effectively select a trainer suitable for a user, thereby improving the reliability of matching.

At this time, when the user terminal 110 requests trainer information to the service server 120 , the service server 120 may connect the SNS server 160 in which the SNS account of the corresponding trainer is registered.

The service server 120 may establish communication between the user terminal 110 and the trainer terminal 130 to take a training course by a trainer selected by the user terminal 110 from among the recommended trainers. In this case, the user may take a non-face-to-face training course by a trainer selected online through the user terminal 110 .

Accordingly, the non-face-to-face real-time training service system 100 according to the embodiment of the present invention enables a non-face-to-face 1:1 lecture, so that it is possible to exercise effectively and safely at home without worrying about a busy daily life or corona infection. can promote

In this case, the service server 120 may provide automatic translation with voice or subtitles when communicating with the trainer according to the user's selection. For example, when the selected trainer uses a language different from the user, the service server 120 may provide translation by subtitles or voice interpretation in a language designated for each of the user terminal 110 and the trainer terminal 130 . can

Here, the non-face-to-face real-time training service system 100 may provide a global service beyond the local service limited to the country or region. In other words, it is possible to provide a non-face-to-face real-time training service that connects domestic members with trainers registered as overseas partners.

Thereby, the non-face-to-face real-time training service system 100 according to an embodiment of the present invention can provide training through trainers around the world without being limited to the country, so it is possible to solve the limitations of regions and languages.

The service server 120 may provide the stored exercise result transmitted from the user terminal 110 to the trainer terminal 130 of the next training course to recommend the next level of exercise suitable for the exercise result. That is, when establishing communication between the user terminal 110 and the trainer terminal 130 , the service server 120 may provide the exercise result information stored during the previous course to the trainer terminal 130 .

As an example, the service server 120 may provide a performance graph for physical changes including weight and body fat and physical changes including exercise intensity, number of exercises and performance analysis as exercise result information stored during previous courses. .

Accordingly, the non-face-to-face real-time training service system 100 according to the embodiment of the present invention can continuously manage the exercise process even when the trainer changes because the exercise results are shared, thereby improving management efficiency.

The service server 120 may recommend a product related to the exercise level selected by the user terminal 110 . For example, the service server 120 may recommend a suitable product according to the user's exercise preference or course taking tendency.

In this case, when the user selects the recommended product, the service server 120 may connect the social commerce server 150 in which the product is registered so that the user can purchase it as needed.

Accordingly, since the non-face-to-face real-time training service system 100 according to the embodiment of the present invention can purchase products necessary for exercise through the social commerce server 150, the user can change the exercise environment during exercise or according to a trainer's recommendation. It's easy to build, so you can ensure continuous movement.

The service server 120 may provide task performance result information transmitted from the user terminal 110 to the corresponding trainer terminal 130 . Accordingly, the trainer may perform task execution confirmation, exercise result evaluation, and additional exercise recommendation through the trainer terminal 130 .

Accordingly, the non-face-to-face real-time training service system 100 according to an embodiment of the present invention can effectively manage training because it can receive not only the attendance but also the trainer feedback on the task performance result, and exercise habits through the trainer's feedback. can be induced to form rapidly.

The service server 120 may perform big data tracking through AI analysis of individual information including the user's body data, region, age, and exercise information. Here, the big data tracking results can be provided as AI analysis data to related customers.

Accordingly, the non-face-to-face real-time training service system 100 according to an embodiment of the present invention can use a large amount of personal exercise information accumulated through the course for customer or system improvement, so that a new service can be recreated through big data. there is.

The service server 120 may analyze the body type based on the user's video transmitted from the user terminal 110 and recommend an exercise suitable for the body type. Here, the body shape analysis may be to match body type information classified by a doctor or a group of sports/training medical experts with exercise information recommended by a professional trainer according to each body type.

Thereby, the non-face-to-face real-time training service system 100 according to the embodiment of the present invention can extract unknown information from the body type through the questionnaire information input by the user, thereby ensuring more effective exercise recommendation and management. there is.

The trainer terminal 130 may be a terminal of a trainer that provides a training course through the service server 120 . For example, the trainer terminal 130 may be a portable electronic device such as a tablet PC or a smart phone. In addition, the trainer terminal 130 may be a computer device such as a desktop PC that can access the service server 120 . Here, the trainer terminal 130 may include a display touch panel for providing an interactive online lecture, a camera, a speaker, and a microphone.

The trainer terminal 130 may communicate with the user terminal 110 through the service server 120 . For example, the trainer terminal 130 may perform wireless communication such as 5G, LTE-A, LTE, and Wi-Fi, and may perform wired cable communication.

The trainer terminal 130 may establish communication with the user terminal 110 through the service server 120 and provide a training course selected by the user terminal 110 . In this case, the trainer may communicate with the user through video communication.

The gym server 140 is a server for accessing a dedicated gym and managing exercise equipment. Here, the dedicated gym may include affiliate stores and directly managed stores for the non-face-to-face real-time training service system 100 . Optionally, the dedicated gym may provide a flagship directly managed service for the non-face-to-face real-time training service system 100 .

The gym server 140 may recognize the user by receiving the QR code from the user terminal 110 upon entry. In addition, the gym server 140 may recognize the user when the QR code of the user terminal 110 is recognized in the IoT-equipped exercise equipment.

The social commerce server 150 may be a server in which a product recommended by the service server 120 is registered. Here, the social commerce server 150 may be operated in an escrow service method. The social commerce server 150 may transmit product information selected by the user terminal 110 to the user terminal 110 according to the request of the service server 120 .

The SNS server 160 may be a server in which the trainer's SNS account is registered. Here, the trainer may introduce his/her course or activity through the SNS server 160 . The SNS server 160 may transmit information on the trainer selected by the user terminal 110 to the user terminal 110 according to the request of the service server 120 .

2 is a diagram illustrating a user terminal screen of a non-face-to-face real-time training service system according to an embodiment of the present invention.

Referring to FIG. 2 , the screen 111 of the user terminal 110 may include a counterpart screen 112 , course information 113 , and input items 114 .

The counterpart screen 112 may be a screen of a trainer of the corresponding course. That is, the counterpart screen 112 may be an image of the trainer transmitted from the trainer terminal 130 .

The course information 113 may display information about the corresponding course. For example, the course information 113 may include corresponding trainer information, a recent attendance history, and a user's previous attendance history.

As another example, when the non-face-to-face real-time training service system 100 provides a translation service using subtitles, the translated subtitles may be displayed. In this case, the translated subtitles may be provided from the service server 120 . Optionally, the translated caption may be generated in the user terminal 110 itself by a dedicated program provided by the service server 120 .

The input item 114 is for the user to directly input the exercise result performed by the user during the course. The input item 114 may include an amount of body change or an amount of exercise according to exercise. In this case, the input item 114 may be inputted with a numerical value for each corresponding item.

3 is a diagram showing an additional configuration of the user terminal side of the non-face-to-face real-time training service system according to an embodiment of the present invention.

Referring to FIG. 3 , the non-face-to-face real-time training service system 100 may further include a stand 11 and a camera 12 in addition to the user terminal 110 to provide attendance and exercise results. Here, additional equipment such as the stand 11 and the camera 12 may be provided in the user terminal 110 .

Referring to FIG. 3 , the stand 11 may support the user terminal 110 such as a tablet PC or a smart phone. That is, the stand 11 may support the user terminal 110 so that the user 1 can be free from the user terminal 110 while taking a course. In this case, the user terminal 110 may display the image of the trainer 2 on the counterpart screen 111 .

The camera 12 may photograph the exercise situation of the user 1 during the course. In one example, camera 12 may include a tracking camera. Here, the trekking camera may photograph while moving the lens according to the movement of the user 1 .

Optionally, the user terminal 110 may photograph the user 1 taking a course through the camera 115 . In this case, the user terminal 110 may display its own image on a part of the counterpart screen 111 and store its own image.

Hereinafter, a non-face-to-face real-time training service method of the present invention will be described with reference to FIGS. 4 to 9 .

4 is a flowchart illustrating a non-face-to-face real-time training service method according to an embodiment of the present invention.

The non-face-to-face real-time training service method 200 includes a questionnaire input step (S210), an exercise level selection step (S220), an exercise condition input step (S230), a trainer recommendation step (S240), a communication establishment step for taking (S250), It may include an exercise result storage step (S260), a trainer evaluation step (S270), a related product recommendation step (S280), and a task result transmission step (S290).

In more detail, as shown in FIG. 4 , first, the user terminal 110 inputs an answer to the questionnaire provided from the service server 120 (step S210 ). In this case, the user terminal 110 may transmit the answer to the questionnaire to the service server 120 .

Here, the questionnaire provided from the service server 120 may be prepared based on opinions of medical experts specializing in sports/training and doctors. For example, the questionnaire may be an item for researching exercise purpose, exercise type, physical condition, exercise preference, and the like.

Next, the user terminal 110 selects an exercise level by the user (step S220). Here, the exercise level may be any one of a basic exercise using the bare body, an exercise using an instrument using a specific instrument, and an offline exercise using an offline gym. In this case, the user terminal 110 may select an exercise level according to the user's physical strength or exercise ability.

Next, the user terminal 110 inputs the exercise conditions for each selected exercise level (step S230). Here, the input exercise condition may be a condition set for each exercise level. As an example, the exercise condition may include an exercise purpose, exercise condition, user information, and possession exercise equipment.

Next, the service server 120 recommends a trainer that satisfies the condition input from the user terminal 110 (step S240). In this case, the service server 120 may recommend a trainer suitable for the user through a matching service using AI analysis based on the questionnaire input from the user terminal 110 . For example, the service server 120 may recommend a trainer suitable for a matching service according to the course time, course tuition, exercise purpose, exercise type, and trainer type.

Here, the user terminal 110 may request trainer information from the service server 120 . At this time, the service server 120 may connect the SNS server 160 to which the SNS account of the corresponding trainer is registered. Therefore, the user can check the course or activity of the trainer through the user terminal 110 and select a trainer based on this.

Next, the service server 120 establishes communication between the trainer terminal 130 and the user terminal 110 selected by the user terminal 110 from among the recommended trainers (step S250 ). Accordingly, the user can take a non-face-to-face training course by a trainer selected online through the user terminal 110 .

In this case, the service server 120 may provide automatic translation with voice or subtitles when communicating with the trainer according to the user's selection. For example, when the selected trainer uses a language different from the user, the service server 120 may provide translation by subtitles or voice interpretation in a language designated for each of the user terminal 110 and the trainer terminal 130 . can

Here, the non-face-to-face real-time training service may provide a global service beyond the local service limited to the country or region. In other words, it is possible to provide a non-face-to-face real-time training service that connects domestic members with trainers registered as overseas partners.

Next, the user terminal 110 records the exercise result of the user while attending the training course provided through the service server 120 , and transmits it to the service server 120 to store it (step S260 ). For example, the user terminal 110 may transmit to the service server 120 a video captured while taking a course, an exercise result input by the user, and information measured by various measuring systems to the service server 120 and store it. Here, the exercise result may include an exercise amount of the user and a change amount of the body accordingly. For example, the amount of body change may include body weight, body fat, and heart rate.

As another example, when a device or device for measuring exercise or exercise amount is provided on the user terminal 110 side, the user terminal 110 transmits the exercise result measured by a wearable device or an IoT function-equipped exercise device to the service server 120 ) to save it. Optionally, the IoT function-equipped exercise equipment may directly transmit the user's exercise amount to the service server 120 .

In addition, the exercise result stored in the service server 120 may be provided to the trainer terminal 130 of the next training course to recommend the next level of exercise suitable for the exercise result. That is, when establishing communication between the user terminal 110 and the trainer terminal 130 , the service server 120 may provide the exercise result information stored during the previous course to the trainer terminal 130 .

As an example, the service server 120 may provide a performance graph for physical changes including weight and body fat and physical changes including exercise intensity, number of exercises and performance analysis as exercise result information stored during previous courses. .

Next, the user terminal 110 evaluates the trainer of the corresponding course (step S270). In this case, the user terminal 110 may transmit a trainer evaluation input by the user to the service server 120 . Here, the trainer evaluation may be reflected in adjusting the trainer level as will be described later.

Next, the service server 120 recommends a product related to the exercise level selected by the user terminal 110 (step S280). For example, the service server 120 may recommend a suitable product according to the user's exercise preference or course taking tendency.

In this case, when the user selects a recommended product, the service server 120 may connect the social commerce server 150 in which the product is registered. Accordingly, the user terminal 110 may be connected to the social commerce server 150 through the service server 120 to receive recommended product information and purchase it as necessary.

Next, the user terminal 110 transmits the result of the assignment for the training course taken to the service server 120 (step S290). In this case, the user terminal 110 may photograph the task performance process and transmit it to the service server 120 as a task result.

As an example, the user terminal 110 may transmit, as task performance result information, an exercise result measured or inputted by a video captured while performing a task and various measuring systems or an exercise device equipped with an IoT function to the service server 120 . .

In this case, the service server 120 may provide task performance result information to the corresponding trainer terminal 130 . Accordingly, the trainer may perform task execution confirmation, exercise result evaluation, and additional exercise recommendation through the trainer terminal 130 .

5 is a flowchart illustrating a basic exercise service procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.

Basic exercise service procedure 300 includes an exercise purpose input/search step (S310), a basic exercise recommendation step (S320), a basic exercise trainer recommendation step (S330), a communication establishment step for taking basic exercise (S340), a basic exercise exercise It may include a result storage step (S350), a basic exercise trainer evaluation step (S360), a basic exercise-related product recommendation step (S370) and a basic exercise task result transmission step (S380).

Here, the basic exercise service procedure 300 is a specific service procedure for the case where the exercise level is basic exercise in the non-face-to-face real-time training service method 200 of FIG. 4, and the non-face-to-face real-time training service method 200 in corresponding steps. The same features as described above will be omitted.

In more detail, as shown in FIG. 5 , first, the user terminal 110 inputs or searches for an exercise purpose (step S310 ). Here, the user terminal 110 may perform input of an answer to the questionnaire provided by the service server 120 before the input for the purpose of exercise, as in step S210 of FIG. 4 .

In this case, the user terminal 110 may input an exercise type, physical condition, and age desired by the user as exercise conditions. Alternatively, the user terminal 110 may receive a search result from the service server 120 among answers to a previously inputted questionnaire through the questionnaire and input it as an exercise condition or exercise purpose.

Next, the service server 120 recommends a basic exercise that meets the conditions input from the user terminal 110 (step S320). Here, the recommended basic exercise may be an exercise using the bare body without the need for special equipment. However, the basic exercise is an exercise by level and is not limited to the type of exercise. In other words, basic exercise means an exercise using the bare body without using any equipment for each type of exercise.

Next, the service server 120 recommends a basic exercise trainer that provides a course for the exercise selected by the user among the recommended exercise (step S330). In this case, the service server 120 may recommend a basic exercise trainer suitable for the user through a matching service using AI analysis based on the questionnaire input from the user terminal 110 .

Next, the service server 120 establishes communication between the trainer terminal 130 and the user terminal 110 selected by the user terminal 110 from among the recommended basic exercise trainers (step S340). In this case, the user may take a non-face-to-face basic exercise training course by a trainer selected online through the user terminal 110 .

Next, the user terminal 110 records the exercise result of the user while taking the basic exercise training course provided through the service server 120 , and transmits it to the service server 120 for storage (step S350 ). As an example, the user terminal 110 provides a video taken while taking basic exercise, the exercise result of the basic exercise input by the user, information measured by various measuring systems, and the exercise result measured by the wearable device to the service server 120 . can be sent to and stored.

In this case, the exercise result of the basic exercise may be provided to the trainer terminal 130 of the next basic exercise training course to recommend the next level of basic exercise suitable for the exercise result.

Next, the user terminal 110 performs an evaluation of the basic exercise trainer of the corresponding course (step S360). In this case, the user terminal 110 may transmit to the service server 120 by inputting the evaluation of the basic exercise trainer by the user. Here, the basic exercise trainer evaluation may be reflected in the trainer level adjustment as will be described later.

Next, the service server 120 recommends a product related to the basic exercise selected in the user terminal 110 (step S370). For example, the service server 120 may recommend a wearable device for measuring the exercise result of the basic exercise. Here, the wearable device is a device capable of measuring the amount of exercise, such as the number of exercise or exercise intensity, according to the basic exercise while being worn by the user.

As another example, the service server 120 may recommend a scale for measuring body changes, a body fat meter, a watch, and a heart rate monitor. In addition, the service server 120 may recommend a stand and a tracking camera for establishing an environment in which the user can exercise independently from the user terminal 110 .

In this case, the service server 120 may connect the social commerce server 150 in which the wearable device is registered and provide it to the user terminal 110 so that the user can purchase a necessary product.

Next, the user terminal 110 transmits the result of the basic exercise task for the training course taken to the service server 120 (step S380). In this case, the user terminal 110 may photograph the task performance process and transmit it to the service server 120 as a result of the basic exercise task.

As an example, the user terminal 110 may transmit, as the basic exercise task performance result information, a video captured while performing the task and an exercise result measured or input by various measuring systems or wearable devices to the service server 120 .

In this case, the service server 120 may provide the basic exercise task performance result information to the trainer terminal 130 so that the basic exercise trainer evaluates the task performance result.

6 is a flowchart illustrating an exercise service procedure using an appliance in a non-face-to-face real-time training service method according to an embodiment of the present invention.

The equipment utilization exercise service procedure 400 includes a holding equipment input/search step (S410), an equipment use exercise trainer recommendation step (S420), a communication establishment step for taking an equipment use exercise (S430), a storage step of the exercise result of the equipment use exercise (S440), an exercise trainer evaluation step (S450) using the equipment, a product recommendation step (S460) using the equipment and may include a task result transmission step (S470) using the equipment.

Here, the equipment-using exercise service procedure 400 is a specific service procedure for the case where the exercise level is equipment-using exercise in the non-face-to-face real-time training service method 200 of FIG. 4, and the non-face-to-face real-time training service method ( 200) and the description thereof will be omitted.

In more detail, as shown in FIG. 6 , first, the user terminal 110 inputs or searches for the exercise equipment possessed by the user (step S410 ). Here, when the user does not perform the basic exercise and immediately performs the exercise using the instrument, the user terminal 110 receives the input of the answer to the questionnaire provided by the service server 120 as in step S210 of FIG. 4 of the holding instrument. This can be done before input.

In this case, the user terminal 110 may input the exercise equipment possessed by the user terminal 110 . Alternatively, the user terminal 110 may receive the exercise equipment retrieved from the answers of the questionnaire previously input through the questionnaire and input it as the possessed exercise equipment.

Next, the service server 120 recommends an exercise trainer using the equipment having the input exercise equipment (step S420). At this time, the service server 120 may recommend an exercise trainer suitable for the user through a matching service using AI analysis based on the questionnaire input from the user terminal 110 .

Next, the service server 120 establishes communication between the trainer terminal 130 and the user terminal 110 selected by the user terminal 110 from among the recommended exercise trainers using the equipment (step S430). In this case, the user may take an exercise training course using non-face-to-face equipment by a trainer selected online through the user terminal 110 .

Next, the user terminal 110 records the exercise result of the user while taking an exercise training course using the equipment provided through the service server 120 , and transmits it to the service server 120 for storage (step S440 ). As an example, the user terminal 110 may display a video recorded while taking an exercise using the equipment, the exercise result of the exercise using the instrument input by the user, the information measured by various measuring systems, and the exercise result measured by the exercise equipment equipped with the IoT function. It may be transmitted to the service server 120 and stored.

At this time, the exercise result of the exercise using the instrument may be provided to the trainer terminal 130 of the next exercise training course using the instrument to recommend the next level of exercise using the instrument suitable for the exercise result.

Next, the user terminal 110 performs an evaluation of the exercise trainer using the equipment of the course (step S450). At this time, the user terminal 110 may transmit to the service server 120 by inputting the evaluation of the exercise trainer using the equipment by the user. Here, the evaluation of the exercise trainer using the equipment may be reflected in the trainer level adjustment as will be described later.

Next, the service server 120 recommends a product related to the exercise using the equipment selected in the user terminal 110 (step S460). For example, the service server 120 may recommend an exercise equipment equipped with an IoT function to measure the exercise result of the exercise using the equipment and transmit it to the service server 120 . Here, the IoT function-equipped exercise equipment is a device that can transmit an exercise amount by communicating with the service server 120 or the user terminal 110 by mounting a communication function on the exercise equipment possessed by the user. Optionally, the exercise equipment equipped with the IoT function may transmit the measured amount of exercise to the service server 120 through the user terminal 110 .

Next, the user terminal 110 transmits the exercise task result using the equipment for the training course taken to the service server 120 (step S470). In this case, the user terminal 110 may photograph the task performance process and transmit it to the service server 120 as a result of the exercise task using the equipment.

As an example, the user terminal 110 transmits, as the result information of the exercise task performance using the equipment, the movement results measured or input by the exercise equipment equipped with various measuring systems or IoT functions and the video captured while performing the task to the service server 120 . can be transmitted

In this case, the service server 120 may provide the exercise task performance information using the equipment to the trainer terminal 130 so that the exercise trainer using the equipment evaluates the task performance result.

7 is a flowchart illustrating an offline exercise service procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.

Offline exercise service procedure 500 includes a dedicated QR code issuance step (S510), offline exercise trainer recommendation step (S520), offline exercise exercise result storage step (S530), offline exercise trainer evaluation step (S540), offline exercise related products It may include a recommendation step (S550) and an offline exercise task result transmission step (S560).

Here, the offline exercise service procedure 500 is a specific service procedure for a case where the exercise level is offline exercise in the non-face-to-face real-time training service method 200 of FIG. 4, and the non-face-to-face real-time training service method 200 in corresponding steps The same features as described above will be omitted.

In more detail, as shown in FIG. 7 , first, the service server 120 issues a QR code for entering and exiting the dedicated gym (step S510). In this case, the service server 120 may transmit the issued QR code to the user terminal 110 and the gym server 140 . Here, the QR code may be issued according to a user's request or as a reward for taking a training course. The user terminal 110 may use the QR code to enter the gym.

In addition, the dedicated gym may include affiliate stores and directly managed stores for non-face-to-face real-time training services. Optionally, the dedicated gym may provide a flagship directly managed service for the non-face-to-face real-time training service.

Next, according to the user's selection, the service server 120 recommends a trainer who provides an online remote course using the corresponding exercise equipment or a trainer who resides in the dedicated gym and provides an on-site course (step S520). Here, when the user directly performs offline exercise without performing basic exercise or exercise using equipment, the user terminal 110 responds to the questionnaire provided by the service server 120 as shown in step S210 of FIG. 4 . can be done first.

In this case, the service server 120 may recommend an offline exercise trainer suitable for the user through a matching service using AI analysis based on the questionnaire input from the user terminal 110 .

For example, when a user wants to take a remote course through online, the service server 120 may recommend an offline exercise trainer that is a partner who does not reside in the dedicated gym. In this case, the user may select an offline exercise trainer by making a reservation in advance before visiting a dedicated gym, or may select an offline exercise trainer in the field after visiting. In this case, the service server 120 may establish communication between the trainer terminal 130 and the user terminal 110 .

As another example, when a user wants to take a course through a trainer residing in a dedicated gym, the service server 120 may recommend an offline exercise trainer that is a partner residing in each dedicated gym. Here, the service server 120 may guide the resident gymnasium for each instructor. In this case, the user may select an offline exercise trainer by making a reservation in advance before visiting a dedicated gym, or may select an offline exercise trainer directly on the spot after visiting.

Next, the user terminal 110 transmits and stores the exercise results measured by the exercise equipment used while attending the offline exercise training course to the service server 120 through the issued QR code (step S530). As an example, the user terminal 110 uses a QR code to display a video captured while taking offline exercise, an exercise result of an offline exercise input by the user, information measured by various measuring systems, and exercise results measured by an exercise device. It may be transmitted to the service server 120 and stored.

Optionally, the IoT-equipped exercise equipment may directly transmit the exercise result of the offline exercise to the service server 120 after identifying the QR code. At this time, the IoT-equipped exercise equipment may recognize user information about the QR code through the gym server 140 .

Here, the exercise result of the offline exercise may be provided to the trainer terminal 130 of the next offline exercise training course to recommend the next level of offline exercise suitable for the exercise result.

Next, the user terminal 110 evaluates the offline exercise trainer of the corresponding course (step S540). In this case, the user terminal 110 may transmit the offline exercise trainer evaluation by the user to the service server 120 . Here, the offline exercise trainer evaluation may be reflected in adjusting the trainer level as will be described later.

Next, the service server 120 recommends a product related to the offline exercise that the user has taken (step S550). For example, the service server 120 may recommend an exercise equipment equipped with an IoT function to measure the exercise result and transmit it to the service server 120 .

Next, the user terminal 110 transmits the offline exercise task result for the taken training course to the service server 120 (step S560). In this case, the user terminal 110 may photograph the task performance process and transmit it to the service server 120 as an offline exercise task result.

As an example, the user terminal 110 transmits, as the offline exercise task performance result information, the motion results measured or inputted by the video captured while performing the task and various measuring systems or exercise equipment equipped with IoT functions to the service server 120 . can

In this case, the service server 120 may provide the offline exercise task performance result information to the corresponding trainer terminal 130 so that the offline exercise trainer evaluates the task performance result.

8 is a flowchart illustrating a trainer level adjustment procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.

Trainer level adjustment procedure 600 may include a trainer level adjustment step (S610) and partner increase step (S620 and S630).

In more detail, as shown in FIG. 8 , first, the service server 120 adjusts the level of the corresponding trainer according to the trainer evaluation result of the user terminal 110 as in step S270 of FIG. 4 (step S610). . As an example, the service server 120 may adjust the increase or decrease of the tuition and fee rate for each course as a level-specific compensation. In this case, the service server 120 may set a tuition or fee rate for the corresponding trainer according to the order of popularity.

Here, the tuition is an amount paid by a user when taking a course, and the fee rate is an amount paid by an operator who operates a non-face-to-face real-time training service. In addition, the tuition includes a subscription type, and the subscription type may include a one-time class such as a one-point lesson. In this case, payment of tuition may be made through an escrow service.

As another example, the service server 120 may set a fixed-time course at a higher tuition than an arbitrary-time course. Here, the fixed time course is a case in which the online 1:1 non-face-to-face lecture time by the trainer is fixed, and the random time course is a case in which the online 1:1 non-face-to-face lecture time by the trainer is temporarily adjusted or changed.

As another example, the service server 120 may set a high tuition fee in the order of basic exercise, equipment use exercise, and offline exercise, and set a low fee. Accordingly, it is possible to induce the trainer to be evenly distributed without being focused on offline exercise with high tuition.

As another example, the service server 120 may set a higher tuition fee and a lower fee than the start partner for the certified partner. Thereby, by compensating a start partner with a relatively low tuition fee with a higher fee compared to the tuition fee, it is possible to increase the inflow of start partners.

Here, the setting of tuition and fees is not limited thereto, and may be set in various ways to increase rewards for trainers or inflow of users.

Next, the service server 120 determines whether the partner is certified for the trainer (step S620), and if it is not suitable as a partner, for example, if the trainer is less than a certain level, return to step S610 to evaluate each course Trainer level adjustment can be performed continuously.

As a result of the determination in step S620, if the trainer is authenticated as a partner, for example, if the trainer is above a certain level, the service server 120 authenticates the trainer as an authentication partner and maintains the reward for a certain period of time (step S630) . Here, the predetermined period may be a re-evaluation period for the certified partner. In this case, the service server 120 may maintain compensation such as a tuition fee or a fee rate according to a level regardless of user evaluation.

Thereby, the non-face-to-face real-time training service method 200 according to the embodiment of the present invention can induce active participation of the trainer because the reward for the trainer is set according to the user evaluation, so that excellent trainers can be secured on a large scale. At the same time, it can improve the participation and activeness of the trainer.

9 is a flowchart illustrating a course selection procedure of a non-face-to-face real-time training service method according to an embodiment of the present invention.

The course selection procedure 700 may include a trainer selection step S710 , a free course taking step S720 , and a recommendation list adjustment step S730 to S760 according to the course selection.

More specifically, as shown in FIG. 9 , first, the user terminal 110 selects one of the trainers recommended by the service server 120 ( S710 ). In this case, the service server 120 may recommend a trainer that satisfies the condition previously input in the user terminal 110 according to priority, as in step S240 of FIG. 4 . Here, the priority may be determined by a doctor or a group of medical experts as some items of a questionnaire such as exercise type or exercise purpose.

The user terminal 110 allows the user to take a course for the selected trainer for free for a certain period of time (step S720). In this case, the service server 120 may establish communication between the user terminal 110 and the trainer terminal 130 , as in step S250 of FIG. 4 , and provide the selected trainer's course to the user terminal 110 .

Next, the service server 120 determines whether the user terminal 110 has selected a free course taken (step S730), and when the corresponding course is selected, the user terminal 110 and the trainer terminal as shown in step S250 of FIG. While maintaining the communication establishment of 130, the course is provided. That is, the user can continuously take courses taken for free by converting them to paid courses.

As a result of the determination of step S730, if the corresponding course is not selected, the service server 120 determines whether the user terminal 110 has selected the steaming function for the corresponding course (step S740), and when the steaming function is selected, the corresponding trainer The recommendation list is adjusted by recommending it as a candidate (step S750). In this case, the service server 120 may recommend a trainer having a high degree of relevance to the steamed trainer by adding it to the recommendation list. Here, the degree of relevance may be the degree of similarity according to the same exercise, the same purpose, and instructor evaluation.

As a result of the determination in step S740, if the steam function is not selected, the service server 120 determines that the corresponding free course has been canceled and deletes the corresponding trainer and the corresponding exercise from the recommendation list (step S760). Here, the service server 120 may limit recommendations for the corresponding trainer. In this case, the service server 120 may delete the corresponding trainer from the entire recommended list or delete it from the corresponding exercise list according to the reason for cancellation.

For example, when the corresponding trainer is not suitable for the user, the service server 120 may delete the corresponding trainer from the entire recommendation list. As another example, when the course content of the corresponding trainer is inappropriate for the user, the service server 120 may delete it from the related exercise list.

After steps S750 and S760, the process returns to step S710, selects a course for another trainer, and repeats a series of procedures (steps S710 to S760) for course selection.

The above methods may be implemented by the non-face-to-face real-time training service system 100 as shown in FIG. 1, and in particular, may be implemented as a software program for performing these steps, in this case, these programs are It may be stored in a readable recording medium or transmitted by a computer data signal coupled with a carrier wave in a transmission medium or a communication network. In this case, the computer-readable recording medium may include any type of recording device in which data readable by a computer system is stored.

Although one embodiment of the present invention has been described above, the spirit of the present invention is not limited to the embodiments presented herein, and those skilled in the art who understand the spirit of the present invention can add components within the scope of the same spirit. , changes, deletions, additions, etc. will be able to easily suggest other embodiments, but this will also fall within the scope of the present invention.

100: non-face-to-face real-time training service system 110: user terminal
120: service server 130: trainer terminal
140: gym server 150: social commerce server
160: SNS server

Claims (16)

inputting, by a user terminal, an answer to a questionnaire provided from the service server and transmitting it to the service server;
selecting an exercise level by the user terminal;
inputting conditions for each exercise level selected by the user terminal;
recommending, by the service server, a trainer satisfying the input condition;
establishing, by the service server, communication between the corresponding trainer terminal and the user terminal so as to take a non-face-to-face training course by a trainer selected by the user terminal from among the recommended trainers;
recording, by the user terminal, an exercise result of a user while taking the provided training course, and transmitting and storing the result to the service server;
transmitting, by the user terminal, an evaluation of the trainer to the service server;
recommending, by the service server, a product related to the selected exercise level; and
sending, by the user terminal, a process of performing a task for the received training course to the service server;
A non-face-to-face real-time training service method comprising a. According to claim 1,
The exercise level is a non-face-to-face real-time training service method that is any one of a basic exercise using the bare body, an exercise using an instrument using a specific instrument, and an offline exercise using an offline gym. 3. The method of claim 2,
When the above exercise level is basic exercise,
In the service server, further comprising the step of recommending an exercise using the bare body that meets the input condition,
In the step of entering the condition, the user enters the exercise purpose, the type of exercise desired by the user, physical condition, and age, or receives and inputs the search result from the answers of the questionnaire in the service server;
The step of recommending the trainer recommends a trainer that provides a course for the exercise selected by the user among the recommended exercises,
The step of recommending the product is a non-face-to-face real-time training service method of recommending a wearable device for measuring exercise results. 3. The method of claim 2,
If the above exercise level is exercise using equipment,
The step of inputting the condition includes inputting the exercise equipment owned by the user or receiving and inputting the exercise equipment possessed by the service server from among the answers of the questionnaire,
The step of recommending the trainer recommends a trainer having the input exercise equipment,
The step of recommending the product is a non-face-to-face real-time training service method for measuring an exercise result and recommending an exercise equipment equipped with an IoT function to transmit it to the service server. 3. The method of claim 2,
If the exercise level is offline exercise,
In the service server, further comprising the step of issuing a QR code for entering and exiting the dedicated gym,
In the step of recommending the trainer, according to the user's choice, a trainer who provides an online remote course using the corresponding exercise equipment or a trainer who resides in the dedicated gym and provides an on-site course is recommended,
The step of storing is a non-face-to-face real-time training service method of transmitting the exercise results measured in the exercise equipment used in the course to the service server through the issued QR code. According to claim 1,
The step of recommending the trainer is a non-face-to-face real-time training service method of recommending a trainer through a matching service according to course time, course tuition, exercise purpose, exercise type, and trainer type using AI analysis based on the input questionnaire. According to claim 1,
The step of recommending the trainer recommends a trainer that satisfies the input condition in order of priority,
In the step of establishing the communication, the course of the trainer selected by the user is provided for free to the user terminal for a certain period of time,
In the step of recommending the trainer, if the steam function is selected after taking a free course, the corresponding trainer is recommended as a candidate, and a trainer highly related to the steamed trainer is recommended,
If a user cancels after taking a free course, we limit recommendations to that trainer,
A non-face-to-face real-time training service method that deletes the trainer from the entire recommended list or deletes it from the relevant exercise list depending on the reason for cancellation. According to claim 1,
The storing step stores the video taken during the course, the exercise result input by the user, the information measured by the measuring system, and the exercise result measured by the wearable device or the IoT-equipped exercise equipment,
The stored exercise result information is provided to the trainer terminal of the next training course to recommend an exercise suitable for the exercise result,
The step of establishing the communication is non-face-to-face real-time training that provides a performance graph for physical changes including weight and body fat and physical changes including exercise intensity, number of exercises and performance analysis as exercise result information stored during previous courses. service method. According to claim 1,
The step of filming the task performance process and transmitting it to the service server is task performance result information, and transmits a video captured while performing the task and a measured or input exercise result,
The service server is a non-face-to-face real-time training service method for providing task performance result information to the corresponding trainer terminal to perform task execution confirmation, exercise result evaluation, and additional exercise recommendation. According to claim 1,
In the service server, further comprising the step of adjusting the level of the trainer according to the evaluation result,
The step of adjusting the level is a non-face-to-face real-time training service method of adjusting compensation for each level, and maintaining the compensation for a certain period by authenticating a trainer above a certain level as an authentication partner. 11. The method of claim 10,
In the step of adjusting the level, the tuition or fee rate for the trainer is set according to the order of popularity,
Fixed-time courses are set at a higher tuition than random-time courses,
The tuition is set high in the order of basic exercise, exercise using equipment, and offline exercise, and the fee is set low,
A non-face-to-face real-time training service method that sets higher tuition and lower fees for certified partners than start partners. According to claim 1,
The step of establishing the communication is a non-face-to-face real-time training service method that provides automatic translation with voice or subtitles when communicating with a corresponding trainer according to a user's selection. According to claim 1,
In the step of recommending the product, when the user selects the recommended product, a non-face-to-face real-time training service method of connecting a social commerce server in which the product is registered. According to claim 1,
The step of recommending the trainer is a non-face-to-face real-time training service method in which, when a user requests trainer information, an SNS server in which the corresponding trainer's SNS account is registered is connected to check the course or activity of the trainer. a user terminal for inputting and transmitting answers to the questionnaire, selecting an exercise level and inputting conditions for each selected exercise level;
a trainer terminal providing a selected training course in the user terminal; and
A service server for establishing communication between the user terminal and the trainer terminal to recommend a trainer that satisfies the input condition, and to take a non-face-to-face training course by a trainer selected by the user terminal from among the recommended trainers;
The user terminal records the exercise result of the user through the provided training course and transmits it to the service server, inputs the evaluation of the trainer and transmits it to the service server, and performs a task performance process for the received training course Take a picture and send it to the service server,
The service server is a non-face-to-face real-time training service system for recommending products related to the selected exercise level. 16. The method of claim 15,
The service server performs big data tracking through AI analysis of individual information including body data, region, age and exercise information,
A non-face-to-face real-time training service system that analyzes the body type based on the user's video and recommends an exercise suitable for the body type.

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