WO2023243940A1 - System for providing exercise coaching service by using musculoskeletal analysis - Google Patents

Abstract

Provided is a system for providing an exercise coaching service by using musculoskeletal analysis, comprising: a user terminal for receiving musculoskeletal analysis results from a public institution terminal and outputting exercise information on the basis of the musculoskeletal analysis results; and a coaching service provision server including a reception unit for receiving the musculoskeletal analysis results about a user of the public institution terminal from the user terminal, an extraction unit for extracting exercise information about exercises customized to the user by inputting, as a query, the musculoskeletal analysis results and user information into a pre-constructed artificial intelligence algorithm, and a transmission unit for transmitting the extracted exercise information to the user terminal.

Description

Exercise coaching service provision system using musculoskeletal analysis

The present invention relates to a system for providing exercise coaching services using musculoskeletal analysis. A system that uses musculoskeletal analysis results and user information to provide exercise information, care information, and other information including diet information, and to coach exercise based on voice speech. provides.

Due to the coronavirus pandemic, indoor sports facilities were designated as high-risk facilities, making it difficult to use gyms. As a result, the number of users attempting home training increased significantly, and a variety of related products and services were launched in line with this. As social distancing levels are raised, the number of users of services that combine artificial intelligence with home training is showing a significant increase. Mobile carriers and startup companies that are active in technology development are also actively investing in the development of artificial intelligence home training services, and the related market is expected to grow rapidly. In addition, looking at recent artificial intelligence trends, it is easy to find cases of providing services in the form of anthropomorphic agents, and artificial intelligence technologies that provide positive user experiences are used as interface agents, such as virtual personal assistant services. You can see that it is happening. Various artificial intelligence home training services released on the market are also developing services centered on artificial intelligence trainers, which are anthropomorphic subjects.

At this time, when providing an artificial intelligence trainer, a method of providing customized exercise or real-time posture correction using deep learning was researched and developed. In relation to this, a prior art, Korea Registered Patent No. 10-2173553 (November 3, 2020) In Japanese Publication) and Korea Patent Publication No. 2022-0013195 (published on February 4, 2022), a deep learning algorithm is used to recommend and manage exercise methods, and an AI-based chatbot is used to interact with users based on voice. Provides a service that manages the user's exercise schedule and exercise method, receives feedback to adjust the type and intensity of exercise, photographs the user's exercise to correct the user's exercise intensity and posture, and captures the captured data. Configurations for analyzing heart rate and exercise posture and learning the collected data are disclosed.

However, in the former case, the appropriate exercise type and intensity is set according to each age, gender, weight, height, etc., so it only extracts and recommends it to the user. It also recommends exercise or corrects posture using the user's musculoskeletal analysis. This is not it. In the latter case, it is stated that the exercise is recorded, but it is used as learning data rather than analyzing the analysis results and then adjusting or recommending the exercise to the actual user using modeled artificial intelligence after learning and verifying the learning data. Only the configuration up to the previous stage is disclosed, not the process. Just because each individual is the same in age, gender, and weight does not mean they have the same physical strength, and each musculoskeletal system varies greatly for each individual, so unless the exercise is adjusted using the results of musculoskeletal analysis, the exercise is similar to the manualized exercise. There is no difference. Accordingly, research and development of a platform that can provide customized exercise using musculoskeletal analysis results and user information and properly coach users through care information and other information is required.

One embodiment of the present invention inputs the musculoskeletal analysis results and user information analyzed by at least one public institution into an artificial intelligence algorithm as a query, and outputs other information including exercise information, care information, and diet information. It provides an AI health trainer that allows real-time posture correction and exercise intensity or type change. By supporting voice, it helps even IT-vulnerable groups who are not familiar with the user interface to use it widely, and by receiving feedback, It is possible to provide an exercise coaching service provision system using musculoskeletal analysis that automatically adjusts and reflects the next exercise and diet by comparing the and after. However, the technical challenge that this embodiment aims to achieve is not limited to the technical challenges described above, and other technical challenges may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention provides a user terminal that receives musculoskeletal analysis results from a public institution terminal and outputs exercise information based on the musculoskeletal analysis results, and a public institution terminal from the user terminal. A transmission unit that receives the musculoskeletal analysis results for the user, an extraction unit that inputs the musculoskeletal analysis results and user information into a pre-built artificial intelligence algorithm as a query to extract exercise information that is customized for the user, and the extracted exercises. It includes a coaching service providing server including a transmission unit that transmits information to the user terminal.

According to one of the means for solving the problem of the present invention described above, the musculoskeletal analysis results and user information analyzed by at least one public institution are input into an artificial intelligence algorithm as a query to include exercise information, care information, and diet information. It provides other information as output, provides an AI health trainer to correct posture in real time and changes the intensity or type of exercise, and supports voice so that it can be used widely, even by IT-vulnerable groups who are not familiar with the user interface. , it receives feedback and compares before and after to automatically adjust and reflect the next exercise and diet.

Figure 1 is a diagram for explaining a system for providing exercise coaching services using musculoskeletal analysis according to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating a coaching service providing server included in the system of FIG. 1.

Figures 3 and 4 are diagrams for explaining an embodiment of an exercise coaching service using musculoskeletal analysis according to an embodiment of the present invention.

Figure 5 is an operation flowchart illustrating a method of providing exercise coaching services using musculoskeletal analysis according to an embodiment of the present invention.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented 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 that are not related to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected," but also the case where it is "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, this does not mean excluding other components unless specifically stated to the contrary, but may further include other components, and one or more other features. It should be understood that it does not exclude in advance the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

The terms "about", "substantially", etc. used throughout the specification are used to mean at or close to that value when manufacturing and material tolerances inherent in the stated meaning are presented, and are used to enhance the understanding of the present invention. Precise or absolute figures are used to assist in preventing unscrupulous infringers from taking unfair advantage of stated disclosures. The term “step of” or “step of” as used throughout the specification of the present invention does not mean “step for.”

In this specification, 'part' includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more pieces of hardware, and two or more units may be realized using one piece of hardware. Meanwhile, '~ part' is not limited to software or hardware, and '~ part' may be configured to reside in an addressable storage medium or may be configured to reproduce one or more processors. Therefore, as an example, '~ part' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or may be further separated into additional components and 'parts'. Additionally, components and 'parts' may be implemented to regenerate one or more CPUs within a device or a secure multimedia card.

In this specification, some of the operations or functions described as being performed by a terminal, apparatus, or device may instead be performed on a server connected to the terminal, apparatus, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed in a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal mean mapping or matching the terminal's unique number or personal identification information, which is identifying data of the terminal. It can be interpreted as

Hereinafter, the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a diagram for explaining a system for providing exercise coaching services using musculoskeletal analysis according to an embodiment of the present invention. Referring to FIG. 1, the exercise coaching service providing system 1 using musculoskeletal analysis may include at least one user terminal 100, a coaching service providing server 300, and at least one public institution terminal 400. there is. However, since the exercise coaching service providing system 1 using musculoskeletal analysis of FIG. 1 is only an embodiment of the present invention, the present invention is not limited to FIG. 1.

At this time, each component of FIG. 1 is generally connected through a network (Network, 200). For example, as shown in FIG. 1, at least one user terminal 100 may be connected to the coaching service providing server 300 through the network 200. In addition, the coaching service providing server 300 may be connected to at least one user terminal 100 and at least one public institution terminal 400 through the network 200. Additionally, at least one public institution terminal 400 may be connected to the coaching service providing server 300 through the network 200.

Here, the network refers to a connection structure that allows information exchange between each node, such as a plurality of terminals and servers. Examples of such networks include a local area network (LAN) and a wide area network (WAN). Wide Area Network, Internet (WWW: World Wide Web), wired and wireless data communication network, telephone network, wired and wireless television communication network, etc. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), and Wi-Fi. , Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth network, NFC ( It includes, but is not limited to, Near-Field Communication (Near-Field Communication) network, satellite broadcasting network, analog broadcasting network, and DMB (Digital Multimedia Broadcasting) network.

In the following, the term at least one is defined as a term including singular and plural, and even if the term at least one does not exist, each component may exist in singular or plural, and may mean singular or plural. This should be self-explanatory. In addition, whether each component is provided in singular or plural form may be changed depending on the embodiment.

At least one user terminal 100 receives the musculoskeletal analysis results from the public institution terminal 400 using a web page, app page, program, or application related to exercise coaching service using musculoskeletal analysis, and stores them in MyData. It may be a terminal that allows access to the coaching service providing server 300 or uploads the musculoskeletal analysis results directly to the coaching service providing server 300. Additionally, the user terminal 100 may be a terminal that inputs user information, receives exercise information, care information, and other information, and outputs coaching voice through voice utterance. Additionally, the user terminal 100 may be a terminal that updates results after exercise and diet, and may be a terminal that receives adjusted exercise information, care information, and other information as feedback.

Here, at least one user terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop equipped with a navigation system and a web browser, a desktop, a laptop, etc. At this time, at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100 is, for example, a wireless communication device that guarantees portability and mobility, and includes navigation, personal communication system (PCS), global system for mobile communications (GSM), personal digital cellular (PDC), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) ) It may include all types of handheld-based wireless communication devices such as terminals, smartphones, smartpads, and tablet PCs.

The coaching service providing server 300 may be a server that provides an exercise coaching service web page, app page, program, or application using musculoskeletal analysis. And, when learning and verifying at least one artificial intelligence algorithm, the coaching service providing server 300 learns and outputs [exercise information-care information-other information] when [musculoskeletal information-user information] is input. It may be a server that verifies and models. Additionally, the coaching service providing server 300 may be a server that implements at least one AI health trainer and then coaches the user's exercise using voice speech. To this end, the coaching service providing server 300 receives video captured by a camera to check real-time posture from the user terminal 100, analyzes the posture, and then changes, modifies, deletes, or adds the number of times, intensity, and type of exercise. It can be.

Here, the coaching service providing server 300 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, a laptop equipped with a navigation system and a web browser, a desktop, a laptop, etc.

At least one public institution terminal 400 transmits the results of musculoskeletal analysis to the user terminal 100 with or without using a web page, app page, program, or application related to exercise coaching service using musculoskeletal analysis, or provides coaching service. If access rights are obtained from the server 300, the terminal may transmit directly to the coaching service providing server 300.

Here, at least one public institution terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop equipped with a navigation system and a web browser, a desktop, a laptop, etc. At this time, at least one public institution terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one public institution terminal 400 is, for example, a wireless communication device that guarantees portability and mobility, and includes navigation, personal communication system (PCS), global system for mobile communications (GSM), and personal digital cellular (PDC). , PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband) It may include all types of handheld-based wireless communication devices such as Internet) terminals, smartphones, smartpads, and tablet PCs.

Figure 2 is a block diagram for explaining the coaching service providing server included in the system of Figure 1, and Figures 3 and 4 are an embodiment of an exercise coaching service using musculoskeletal analysis according to an embodiment of the present invention. This is a drawing to explain.

Referring to Figure 2, the coaching service providing server 300 includes a delivery unit 310, an extraction unit 320, a transmission unit 330, a care provision unit 340, an AI provision unit 350, and a tracking management unit ( 360).

The coaching service providing server 300 or another server (not shown) operating in conjunction with an embodiment of the present invention uses musculoskeletal analysis with at least one user terminal 100 and at least one public institution terminal 400. When transmitting an exercise coaching service application, program, app page, web page, etc., at least one user terminal 100 and at least one public institution terminal 400 are an exercise coaching service application, program, or app using musculoskeletal analysis. You can install or open pages, web pages, etc. Additionally, a service program may be run on at least one user terminal 100 and at least one public institution terminal 400 using a script executed in a web browser. Here, a web browser is a program that allows the use of web (WWW: World Wide Web) services and refers to a program that receives and displays hypertext written in HTML (Hyper Text Mark-up Language), for example, Netscape. , Explorer, Chrome, etc. Additionally, an application refers to an application on a terminal and includes, for example, an app running on a mobile terminal (smartphone).

Referring to Figure 2, the transmission unit 310 may receive the musculoskeletal analysis results for the user of the public institution terminal 400 from the user terminal 100. The user terminal 100 may receive the musculoskeletal analysis results from the public institution terminal 400 and output exercise information based on the musculoskeletal analysis results. Musculoskeletal analysis results may include multifaceted analysis of musculoskeletal imbalance and misalignment. Recently, various medical institutions, hospitals, and public institutions have been using integrated musculoskeletal diagnostic equipment to analyze musculoskeletal imbalances and misalignments in the human body. They are conducting multi-faceted analysis of musculoskeletal imbalances and misalignments in the human body, analyzing the biomechanical causes that cause imbalances and misalignments, and analyzing the future. It predicts deformity, presents musculoskeletal symptoms through analysis of muscle extension and shortening states, automatically measures joint range of motion (ROM), suggests self-healing exercise methods, and suggests motion recognition exercise therapy. At this time, medical data can be collected by allowing user access (Three Data Act, My Data), and general data can be collected by user upload.

The extraction unit 320 can input the musculoskeletal analysis results and user information as a query into a pre-built artificial intelligence algorithm to extract exercise information that is a customized exercise for the user. At this time, assuming that the squat exercise is successful only if the angle X is maintained, if the angle Although posture must be perfect for all exercises, it is impossible to require perfect movements from everyone, so it is most important to design an exercise flow that allows the user to do only as much as he or she can do, and with the number of times or intensity that the user can do. If the pelvis is misaligned and the same load is applied to both sides in order to align the pelvis to both sides, the muscles or bones on the distorted side are bound to be strained. If you overdo it like this, you are more likely to get injured while exercising. In the case of the elderly or office workers who sit for a long time, osteoporosis is common or muscle strength is weak, so the number of repetitions must be adjusted. In this way, the results are output by adjusting the exercise flow, angle, number of times, etc., taking into account various variables such as each age, usual exercise situation, joint range of motion, muscle strength, and misalignment. To this end, it is assumed that the artificial intelligence algorithm is modeled with a learning dataset that takes into account various variables.

The transmission unit 330 may transmit the extracted exercise information to the user terminal 100. Exercise information may include coaching provided through voice utterance. At this time, there are various chatbots. An anthropomorphic chat agent can be used, and the personality can be selected according to the user's choice. You can set it as you wish, such as a flexible personality that adjusts exercise to suit the user's condition, or a coercive personality that pushes the user to the target amount regardless of the user's condition, and the set personality can also be changed.

The care provider 340 may provide guidance on stretching in the pre-exercise stage before starting the exercise in the exercise information so as to provide additional care information based on user information and musculoskeletal analysis results in addition to the exercise information. Before starting exercise, the process of warming up the body by moving each muscle and bone is absolutely necessary for everyone. Accordingly, care information, that is, the stretching process before starting exercise, is provided, and musculoskeletal analysis information is also used in this case. For example, in order to tear one's legs to both sides, one must be flexible, but the pelvis must not be twisted, the alignment must be correct, and strength and core strength for this are also important. Users who do not have all of these should not be asked to stretch their legs to both sides. Accordingly, stretching is also provided after being adjusted using the results of musculoskeletal analysis as described above. The number of times and angle can be adjusted depending on age, muscle strength, range of motion, etc.

The AI provider 350 analyzes the video captured by the camera of the user terminal 100 and received in real time while the exercise information is output as a voice utterance from the user terminal 100, and then analyzes the user's posture, intensity, and frequency. An AI health trainer can be provided to correct or increase or decrease . At this time, the biggest goal is to teach the types of bodyweight exercises that can be performed without exercise equipment, and to enable many people to exercise safely and accurately, and above all, according to each individual's capabilities and musculoskeletal condition. Accordingly, we decided to use PoseNet, an artificial intelligence synthetic neural network, to enable quantitative and rapid estimation of human body coordinates in a mobile environment. Of course, it is obvious that it is possible to use other algorithms. Through this, an AI health trainer can be provided using a PoseNet-based Teachable Machine that can correct exercise posture and determine accuracy in a mobile environment.

Using the Teachable Machine (Tensorflow PoseNet) library, you can learn a model by providing location information of a total of 17 body parts through a camera without a special sensor device. Since PoseNet tracks only 17 human joints, it has the advantage of significantly reducing the amount of computation compared to full-size images. Human joint data can be extracted from input images using PoseNet. By using a model for posture learned through Teachable Machine, a voice that analyzes whether the user is currently taking a posture that suits his or her musculoskeletal structure and corrects the posture is provided. Ignition can be carried out.

The tracking management unit 360 can perform personalized tracking management using feedback data received from the user terminal.

<Save skeleton data>

When analyzing musculoskeletal movement using a camera, it must be possible to determine how similar the user's specific joint is to the corresponding movement at a specific point in time. However, since the length of the skeleton is different for each person, it may not be easy to recognize the posture of the user's skeleton data using the standard skeleton data and content. Accordingly, a posture recognition method that measures standard posture information and compares each joint and angle of a person using content can be further used. Within the musculoskeletal exercise analysis content, each joint data corresponding to the user's skeleton is based on 30 frames per second, and a total of more than 5,130 X, Y, Z position coordinate data generated from 32 body joints that can be measured by the motion recognition camera are generated every second. Occurs. Therefore, if the joint to be measured and the point of data acquisition are not specified, data exceeding 1MB is generated in a few seconds, which causes unnecessary data generation and performance degradation. Therefore, in order to prevent unnecessary data and use it for posture similarity analysis, a recording program that stores skeletal data of a specific pose can be used for data analysis. The skeletal data recording program can acquire multiple skeletal data in frame units by specifying the stopping posture that is characteristic of the exercise movement, and can save the skeletal data that serves as a standard for analyzing similarity with other users as a JSON file. .

<Postural recognition>

In order to solve the problem of different skeleton lengths for each person when analyzing posture recognition similarity, 8 skeletons (left elbow, left hand, right elbow, right hand, left knee, left foot, right knee, right foot) were created using vector information of the joints. By obtaining the direction vector of , you can calculate the angle difference between the direction vector of the reference skeleton and the direction vector of the content user skeleton using the dot product formula. The closer the average angle value of the eight angle differences is to 0°, the more consistent the posture can be. In motion similarity analysis, the X color skeleton is the skeleton data saved by the skeleton data recording program, and the Y color skeleton represents real-time user skeleton data. And at the bottom, angle information and number of success information for each skeleton (left elbow, left hand, right elbow, right hand, left knee, left foot, right knee, right foot) are provided. Through similarity analysis of recorded reference data and real-time user data, it is possible to determine whether a specific joint performs an action corresponding to a specific point in time.

When developing content that induces musculoskeletal exercise, comparative analysis of specific postures must be possible. Therefore, the standard posture information was extracted using a skeletal data recording program, and a posture recognition method that compares the angle difference of the user's 8 skeletons in real time based on the extracted skeletal data was used to determine the movement of a specific joint at a specific point in time. You can judge whether it is working or not. Musculoskeletal exercise analysis content using this posture recognition method can be used to diagnose and improve patients with musculoskeletal disorders.

Hereinafter, the operation process according to the configuration of the coaching service providing server of FIG. 2 described above will be described in detail using FIGS. 3 and 4 as an example. However, it will be apparent that the embodiment is only one of various embodiments of the present invention and is not limited thereto.

Referring to FIG. 3, when the musculoskeletal analysis result is transmitted from at least one public institution terminal 400 to the coaching service providing server 300 via the user terminal 100 as shown in (a), the musculoskeletal analysis is performed in (b). Results and user information, such as age, weight, BMI, body mass index, fat mass, and usual activity level, are collected, and exercise information, care information, and other information can be provided accordingly. And, as shown in (c), an AI health trainer, i.e., a chat agent, is used to coach exercise through voice speech, and as shown in (d), the results before and after exercise are tracked by receiving feedback and the exercise is adjusted accordingly. can do. As shown in Figure 4, the business is changed to focus on personalized muscle strengthening and health information, focusing on improving musculoskeletal imbalance and misalignment while lowering the risk of injury, and personal information, especially physical information, can be tracked and managed through the application. The differences between the prior art and an embodiment of the present invention can be summarized as Table 1 below.

division	demand target	function	characteristic
IoT Healthcare	-From patient-centered in the past, there has been a recent trend of expanding to include the general public.	-Change from the focus on diagnosis and treatment of diseases in the past to daily health management and promotion -Suggestion of various aerobic-centered exercises	-Provides general exercise information without considering individual condition -Requires wearable device
Wearable Healthcare	-Application of wearable devices varies depending on the consumer	-Data generation, collection, and analysis through wearable devices -Limitations arise due to low accuracy of data and poor linkage usability	-Provides general exercise information without considering individual condition -Must purchase wearable device
Data-based personal health management system	-Chronic disease patients -General public	-Integrated health information storage systems, devices, and platforms such as medical treatment and examination records, personal health records, and life logs	-Provides general exercise information without considering individual condition -Need to purchase devices such as wearables/sensors for data collection
Senior-friendly devices and systems	-Elderly people with physical decline	-Providing lifestyle or rehabilitation exercise information through the use of physical assistive devices such as rehabilitation medical devices	-Focus on rehabilitation medical devices and daily life physical assistance devices
Platform according to an embodiment of the present invention	-The general public, including the elderly, who wish to strengthen their musculoskeletal system	- Proposal centered on bare hand exercises focusing on correct posture -Provides exercise and health information focused on improving musculoskeletal imbalance and misalignment -Provides AI-based personalized muscle strengthening health information according to the user’s musculoskeletal situation	-Provides AI-based personalized muscle strengthening health information according to the user’s musculoskeletal situation -No additional devices are required, and AI-based data collection and analysis is possible using only the platform (APP).

Matters that are not explained regarding the method of providing exercise coaching services using musculoskeletal analysis in FIGS. 2 to 4 are the same as or are derived from the content previously described regarding the method of providing exercise coaching services using musculoskeletal analysis through FIG. 1. Since it can be easily inferred, the following description will be omitted. FIG. 5 shows the process of transmitting and receiving data between each component included in the exercise coaching service providing system using musculoskeletal analysis of FIG. 1 according to an embodiment of the present invention. It is a drawing. Hereinafter, an example of the process of transmitting and receiving data between each component will be described with reference to FIG. 5, but the present application is not limited to this embodiment, and the process shown in FIG. 5 according to the various embodiments described above It is obvious to those skilled in the art that the process of transmitting and receiving data can be changed.

Referring to Figure 5, the coaching service providing server receives the musculoskeletal analysis results for the user of the public institution terminal from the user terminal (S5100).

In addition, the coaching service providing server inputs the musculoskeletal analysis results and user information as a query into a pre-built artificial intelligence algorithm to extract exercise information that is customized for the user (S5200), and sends the extracted exercise information to the user terminal. Transmit to (S5300).

The sequence between the above-described steps (S5100 to S5300) is only an example and is not limited thereto. That is, the order between the above-described steps (S5100 to S5300) may change, and some of the steps may be executed simultaneously or deleted.

Matters that are not explained regarding the method of providing exercise coaching services using musculoskeletal analysis of FIG. 5 are the same as or are derived from the content previously described regarding the method of providing exercise coaching services using musculoskeletal analysis through FIGS. 1 to 4. Since it can be easily inferred, the description below will be omitted.

The method of providing exercise coaching services using musculoskeletal analysis according to an embodiment described in Figure 5 may also be implemented in the form of a recording medium containing instructions executable by a computer, such as an application or program module executed by a computer. You can. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and non-volatile media, removable and non-removable media. Additionally, computer-readable media may include all computer storage media. Computer storage media includes both volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data.

The method of providing exercise coaching services using musculoskeletal analysis according to an embodiment of the present invention described above is performed by using an application installed by default on a terminal (this may include programs included in a platform or operating system, etc., which are installed by default on the terminal). It may be executed by an application (i.e., a program) installed by the user directly on the master terminal through an application providing server such as an application store server, an application, or a web server related to the service. In this sense, the method of providing exercise coaching services using musculoskeletal analysis according to an embodiment of the present invention described above is implemented as an application (i.e., program) installed by default on the terminal or directly installed by the user and readable by a computer such as a terminal. It can be recorded on any recording medium that can be recorded.

The description of the present invention described above is for illustrative purposes, and those skilled in the art will understand that the present invention can be easily modified into other specific forms without changing the technical idea or essential features of the present invention. will be. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

Claims (6)

1. A user terminal that receives musculoskeletal analysis results from a public institution terminal and outputs exercise information based on the musculoskeletal analysis results; and

   A transmission unit that receives the musculoskeletal analysis results for the user of the public institution terminal from the user terminal, inputs the musculoskeletal analysis results and user information into a pre-built artificial intelligence algorithm as a query to provide exercise information that is customized to the user. A coaching service providing server including an extraction unit for extracting and a transmission unit for transmitting the extracted exercise information to the user terminal. An exercise coaching service providing system using musculoskeletal analysis including a.
2. According to claim 1,

   The results of the musculoskeletal analysis are:

   A system for providing exercise coaching services using musculoskeletal analysis, which includes multi-faceted analysis of musculoskeletal imbalance and misalignment.
3. According to claim 1,

   A system for providing exercise coaching services using musculoskeletal analysis, wherein the exercise information includes coaching provided through voice speech.
4. According to claim 1,

   The coaching service providing server,

   Musculoskeletal analysis, characterized in that it further comprises a care providing unit that guides stretching in the pre-exercise stage before starting the exercise in the exercise information, so as to provide additional care information based on the user information and musculoskeletal analysis results in addition to the exercise information. Exercise coaching service provision system used.
5. According to claim 1,

   The coaching service providing server,

   AI provides an AI health trainer to correct or increase or decrease the user's posture, intensity, and number of times after analyzing the video captured by the camera of the user terminal and received in real time while the exercise information is output as a voice speech from the user terminal. A system for providing exercise coaching services using musculoskeletal analysis, further comprising a provision unit.
6. According to claim 1,

   The coaching service providing server,

   A system for providing exercise coaching services using musculoskeletal analysis, further comprising a tracking management unit that performs personalized tracking management using feedback data received from the user terminal.

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