KR102589169B1 - Method for golf lesson using motion picture - Google Patents

Abstract

A golf lesson method using a video according to an embodiment of the present invention includes the steps of a camera unit capturing a user's swing with a golf club and generating a user video; At least one computing device receiving the user video and analyzing the user video; Searching, by the one or more computing devices, a comparison video for the user's swing lesson in a database according to an analysis result of the user video; and providing, by the one or more computing devices, the comparison video of the actual golfer swinging during a golf play in which the actual golfer participated.

Description

Golf lesson method using video {METHOD FOR GOLF LESSON USING MOTION PICTURE}

The present invention relates to a golf lesson method using a video.

In the 2000s, golf became a popular sport. Accordingly, the size of the golf market continues to increase.

Accordingly, the demand for golf lessons is also increasing. In addition to offline golf lessons, non-face-to-face golf lessons using various electronic devices are also actively taking place.

Publication Patent 10-2002-00088259 (Publication date: November 27, 2002)

The golf lesson method using a video according to an embodiment of the present invention is intended to provide golf lessons according to the swing motion of an actual golfer.

The problem of the present application is not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

According to one aspect of the present invention, the camera unit captures the user's swinging motion with a golf club to generate a user video; At least one computing device receiving the user video and analyzing the user video; Searching, by the one or more computing devices, a comparison video for the user's swing lesson in a database according to an analysis result of the user video; and providing, by the one or more computing devices, the comparative video of the actual golfer swinging in a golf play in which the actual golfer participated.

The camera unit is provided in the user's mobile computing device and captures the user's swinging motion with a golf club to generate the user video, and the user's mobile computing device generates the comparison video for the user video. can be displayed.

The one or more computing devices analyze the user video to derive skeleton model information about the user's swing movement, and retrieve the real golfer's skeleton model information according to the user's skeleton model information from the database. Thus, the comparison video corresponding to the skeleton model information of the actual golfer can be provided.

The one or more computing devices may search the database for the real golfer's skeleton model information that is most similar to the virtual skeleton for each body part included in the user's skeleton model information and provide the comparison video.

The user's skeleton model information is matched with and stored with information about the type of golf club used in the user's swing motion, and the one or more computing devices are stored in the comparison video using the same golf club as the matched type. Information on the golfer's skeleton model can be provided.

The user's skeleton model information is matched with and stored with information about the swing situation in which the user's swing motion was performed, and the one or more computing devices create a skeleton model of the actual golfer who swung in the same situation as the swing situation in the comparison video. It provides information, and the swing situation includes a swing situation on the tee ground, a swing situation in a hazard, a swing situation in a bunker, a swing situation in the fairway, and rough. ) and may include at least one of a swing situation on a putting green.

The one or more computing devices analyze the skeleton model information about the user's swing motion to derive movement and rotation of the skeleton and joints of the skeleton model information about the user's swing motion, and the derived user's skeleton model (skeleton) model) information and the movement and rotation of the skeleton and joints of the real golfer's skeleton model information, and based on the comparison, a guide to the user's swing motion can be provided.

The one or more computing devices derive the movement and rotation of the skeleton and joints of the skeleton model information for the user's swing motion, such as the degree of lower body turn, degree of back swing, degree of weight movement, and waist bending. A guide may be provided by calculating at least one of the degree of angle and the degree of swing speed, and comparing the movement and rotation of the skeleton and joints of the actual golfer's skeleton model information with respect to the at least one.

The one or more computing devices receive sensing information about the pressure with which the feet of each of the multiple users who have received the same comparison video press the force plate during the swing process, and perform machine learning on the sensing information to The pressure change pattern of the foot can be derived, and information about the foot pressure change pattern can be provided to other users who have received the same comparison video.

The golf lesson method using a video according to an embodiment of the present invention can provide golf lessons by comparing a comparison video containing an actual golfer's swing movement with a user video containing the user's swing movement.

The effects of the present application are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 shows an example of a screen golf system.
Figures 2 to 4 show an example of the construction process of a body distinction model.
Figure 5 shows an example configuration of a computing device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. However, the attached drawings are merely explained to more easily disclose the content of the present invention, and the scope of the present invention is not limited to the scope of the attached drawings. Those skilled in the art will easily understand this. You will find out.

Additionally, the terms used in this application are only used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Next, a golf lesson method using a video (hereinafter referred to as a golf lesson method) according to an embodiment of the present invention will be described with reference to the drawings.

The golf lesson method according to an embodiment of the present invention includes a step where a camera unit captures a user's swinging motion with a golf club and generates a user video.

The camera unit may include a camera separate from the user's terminal.

For example, as shown in FIG. 1, the camera 180 installed on a screen golf course is not only used to derive the rotation or movement trajectory of a golf ball, but can also generate a user video of the user's swing motion. In FIG. 1, reference number 160 may be a beam projector that projects light onto a screen.

Alternatively, the camera unit may be provided in the user's mobile computing device. That is, it is provided in the user's mobile computing device and can generate a user video by filming the user's swinging motion with a golf club.

The user's mobile computing device may display a comparison video for the user's video. The comparison video will be explained in detail later.

The user's mobile computing device may include a rechargeable battery and a communication unit capable of transmitting the user's video to one or more computing devices 101 . For example, a mobile computing device may be, but is not limited to, a smartphone, laptop computer, wearable device, digital single lens reflex (DSLR) camera, or mirrorless camera.

The user's mobile computing device may be included in one or more computing devices 101 that implement the golf lesson method according to an embodiment of the present invention.

In this way, when the user video is generated through the camera unit included in the user's mobile computing device, the user can receive golf lessons of the present invention through the user's mobile computing device. Accordingly, the spatial and temporal limitations of golf lessons can be overcome.

A golf club is a tool that a user swings when hitting a golf ball and may include, but is not limited to, a driver, putter, iron, wood, etc.

Meanwhile, the golf lesson method according to an embodiment of the present invention includes the step of one or more computing devices 101 receiving a user video and analyzing the user video.

The present invention may be implemented through one computing device 101 or through a plurality of computing devices 101. When the present invention is implemented through a plurality of computing devices 101, the plurality of computing devices 101 may share and implement the steps included in the present invention. Alternatively, one step included in the present invention may be implemented by linking a plurality of computing devices 101 through communication with each other.

The present invention can derive information about the user's physique through analysis of the user's video. For example, one or more computing devices 101 may measure arm length, shoulder to elbow length, elbow to hand length, leg length, hip to knee length, knee to ankle length, and upper body length. Information about length, etc. can be derived. The one or more computing devices 101 may derive body length as before, but may also derive information about physique based on the ratio of each body to height.

In addition, one or more computing devices 101 may derive information about the movement and rotation of the head, arms, upper body, lower body, etc. when the user swings and the angle formed by each body part through analysis of the user video.

In the above, comparative videos of actual golfers similar to the user's physique were searched, but the present invention is not limited thereto. For example, a user may select a real-life golfer that he or she likes, and one or more computing devices 101 may provide comparison videos of the selected real-life golfers to the user.

The golf lesson method according to an embodiment of the present invention includes the step of one or more computing devices 101 searching a database for a comparison video for a user's swing lesson according to an analysis result of the user video.

One or more computing devices 101 may search a database and provide a comparison video of a swing by an actual golfer with a physique most similar to the previously derived user's physique. The criteria for searching comparison videos may include not only the user's physique, but also other various factors. This will be explained in detail later.

The actual golfer may be an active or retired professional golfer or an amateur golfer, or may be a lesson golfer who provides golf lessons to users, but is not limited thereto.

Comparison videos may be shorts of tens of seconds or other types of videos.

The golf lesson method according to an embodiment of the present invention may include providing, by one or more computing devices 101, a comparison video of an actual golfer's swing in a golf play in which the actual golfer participated.

The comparison video may be an edited version of a video produced for broadcast or lesson purposes, but is not limited to this.

For broadcast purposes, comparison videos may be produced by the broadcasting station. Broadcasting stations with broadcasting rights or production rights can conduct live or recorded broadcasts of actual golf play. For live or recorded broadcasts, broadcasting stations can film video of actual golf play. The broadcasting station can edit these videos, produce them as comparison videos, and then provide the comparison videos to businesses that provide golf lesson services.

Here, the golf play may be a match made in a golf tournament in which actual golfers participated, a friendly match in which actual golfers participated, a golf swing performed by an actual golfer at an indoor or outdoor golf driving range, or a golf play performed by an actual golfer at an indoor or outdoor golf driving range. It may be a golf swing performed for a broadcast program or YouTube channel, but is not limited to this.

The comparison video may be transmitted to the user's mobile computing device, or may be provided to the user through a separate display device (eg, monitor, beam projector, TV, etc.).

Meanwhile, a body distinction model may be built in advance for skeleton model information about the swing movements of actual golfers and users. As shown in FIGS. 2 and 3 to build a body discrimination model, one or more computing devices 101 analyze images for each frame of various swing images to determine the person performing the swing included in the image for each frame. Each body part can be distinguished.

In Figures 2 and 3, the swing image is shown as consisting of five images for each frame, but this is only an example and the present invention is not limited thereto. For example, a swing video may contain images of tens or more frames per second.

Each body part can be the head, neck, upper body, shoulders, arms, waist, legs, etc. Each body part may be distinguished in more detail than this. For example, a face can be distinguished by body parts such as the eyes, nose, and mouth. The arm can be divided into the body part from the shoulder to the elbow and the body part from the elbow to the palm. Legs can also be divided into body parts from the waist to the knees, body parts from the knees to the ankles, and body parts from the ankles to the soles of the feet. One or more computing devices 101 are built according to machine learning to distinguish the body parts. A body discrimination model can be used. A body discrimination model can be constructed by machine learning a data set containing tens to hundreds of thousands of frame-by-frame images of various swings of golfers. The number of images per frame included in the data set can be varied depending on the situation.

Various artificial intelligence algorithms can be used for such machine learning. For example, artificial intelligence algorithms such as artificial neural networks may be used. Artificial neural networks may include methods such as Self-Organizing Map (SOM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN). The present invention is not limited to the artificial intelligence algorithm described above.

As shown in Figure 4, through the body distinction model, each body part can be displayed as an electronically identifiable digital signal, and when adjacent separated parts are connected with a line, a human-shaped skeleton displayed as a linear virtual skeleton is obtained. Model information can be created.

This body distinction model processes digital information about each body part through the Z_axis application unit of the 3D generator, so that the rotation angle about the Z_axis direction of each body part can be obtained, and through this, the skeleton information is May contain 3D digital information.

One or more computing devices 101 may analyze the user video to derive skeleton model information about the user's swing motion. That is, one or more computing devices 101 may derive skeleton model information about the user's swing motion by analyzing the user video through a pre-built body distinction model.

Additionally, one or more computing devices 101 may search the database for skeleton model information of an actual golfer according to the user's skeleton model information and provide a comparison video corresponding to the skeleton model information of the actual golfer.

To this end, one or more computing devices 101 may store the actual golfer's skeleton model information in a database in advance by analyzing comparative videos through a body distinction model. The actual golfer's skeleton model information may be stored in a database in association with the actual golfer's personal information (name, record, age, physique, etc.).

In this way, the present invention can perform skeleton analysis of videos of users and actual golfers. For example, when a comparison video produced by a broadcasting station is provided to a golf lesson provider, the golf lesson provider provides information about the actual physical movements of the actual golfer using a motion sensor or force plate. may be difficult to obtain.

Accordingly, golf lesson service providers must be able to obtain information about the actual golfer's movements by analyzing comparative videos provided by broadcasting stations. Skeleton analysis can derive skeleton model information of an actual golfer by processing comparative videos provided by broadcasting stations through a body discrimination model previously constructed through machine learning using artificial intelligence. In addition, the user's skeleton model information can be derived from the user video through skeleton analysis.

The present invention can provide a golf lesson service to users by performing skeleton analysis on comparison videos of actual golfers and user videos even without sensing the actual physical movement of the golf swing.

Meanwhile, one or more computing devices 101 may search a database for actual golfer's skeleton model information that is most similar to the virtual skeleton for each body part included in the user's skeleton model information and provide a comparison video.

For example, as shown in FIG. 4, the skeleton model information of the user and the actual golfer may include a virtual skeleton for each body part. The virtual skeleton for each body part is a virtual skeleton between both shoulders, a virtual skeleton between the shoulders and elbows, a virtual skeleton from the elbows to the hands, a virtual skeleton corresponding to the center of the upper body, and a virtual skeleton from the waist to the knees. , which can include a virtual skeleton from knee to ankle. The present invention is not limited to the body parts illustrated above.

The skeleton model information of the actual golfer and user may include information about the length of the virtual skeleton for each body part. Information about the length of the virtual skeleton may correspond to the length of the body part of the actual golfer or user, or may correspond to the ratio of the length of the body part to the height of the actual golfer or user. The present invention is not limited to information about the length of the virtual skeleton.

That is, one or more computing devices 101 may search for a real golfer most similar to the user's physique condition and provide a comparison video of the searched real golfer to the user.

Meanwhile, the user's skeleton model information may be matched with and stored with information about the type of golf club used in the user's swing motion. One or more computing devices 101 may provide skeleton model information of an actual golfer using the same golf club as the type matched in the comparison video.

The actual golfer's skeleton model information and comparison video may be matched with the type of golf club used by the actual golfer in the comparison video and stored in the database. This is because swing form can vary depending on the type of golf club used.

Accordingly, the user can receive golf lessons about the swing motion of the golf club used by the user by being provided with a comparison video of an actual golfer corresponding to the golf club used by the user.

For example, if the golf club used by the user is a driver, skeleton model information of an actual golfer using the driver may be provided. Additionally, if the golf club used by the user is an iron, skeleton model information of the actual golfer using the iron may be provided. If the golf club used by the user is a 7-iron, skeleton model information of an actual golfer using a 7-iron may be provided, or skeleton model information of an actual golfer using a 5-iron may be provided.

Meanwhile, swing motion in golf may vary depending on where the swing occurs.

The user's skeleton model information may be matched with and stored with information about the swing situation in which the user's swing motion was performed. One or more computing devices 101 may provide skeleton model information of an actual golfer who swung in the same situation as the swing situation in the comparison video.

At this time, the swing situation is a swing situation on the tee ground, a swing situation in a hazard, a swing situation in a bunker, a swing situation in the fairway, and a swing in the rough. It may include at least one of a situation and a swing situation on a putting green.

In this way, the present invention can provide users with comparative videos of appropriate swing movements depending on the location where the swing is performed.

Meanwhile, one or more computing devices 101 may analyze skeleton model information about the user's swing motion and derive movement and rotation of the skeleton and joints of the skeleton model information about the user's swing motion. Information about the movement and rotation of the skeleton and joints may include not only the amount of movement and rotation, but also information about the movement speed, rotation angle, and rotation speed of the skeleton and joints.

As described above, one or more computing devices 101 may provide a skeleton model including virtual skeletons for each body part of a user and an actual golfer.

Accordingly, as shown in FIG. 4, the movement and rotation of each virtual skeleton for each body part can be tracked according to the continuous swing motion of the user and the actual golfer. At this time, the skeleton of the skeleton model information may correspond to a virtual skeleton for each body part, and the joints may correspond to points where different virtual skeletons are connected.

One or more computing devices 101 may compare the movement and rotation of the skeleton and joints of the derived user's skeleton model information with the movement and rotation of the skeleton and joints of the skeleton model information of an actual golfer.

One or more computing devices 101 may provide guidance for the user's swing movement based on the comparison. The guide may be intended to make the movement of the user's skeleton and joints similar to that of an actual golfer.

Accordingly, the user can try to make a swing motion similar to the swing form of an actual golfer similar to his or her physique.

One or more computing devices 101 derive the movement and rotation of the skeleton and joints of the skeleton model information for the user's swing motion, such as the degree of lower body turn, degree of back swing, degree of weight transfer, and waist. At least one of the degree of bending angle and the degree of swing speed can be calculated.

One or more computing devices 101 may provide a guide by comparing the movement and rotation of the skeleton and joints with the skeleton model information of at least one real golfer.

For example, when the lower body turn is insufficient, one or more computing devices 101 may provide a guide related to the lower body turn.

When the size of the backswing is small, one or more computing devices 101 may provide a guide to improve the distance by increasing the size of the backswing.

If the body weight cannot be moved, one or more computing devices 101 may provide guidance related to the body weight movement.

If the bend angle is too large, one or more computing devices 101 may provide guidance related to upper body movement.

If the required swing speed during the swing process is insufficient, one or more computing devices 101 may provide a guide to increase the swing speed.

Meanwhile, one or more computing devices 101 may receive sensing information about the pressure with which each foot of a plurality of users who have received the same comparison video presses the force plate 250 during the swing process.

One or more computing devices 101 may derive a foot pressure change pattern during the swing process through machine learning on sensing information. One or more computing devices 101 may provide information about the foot pressure change pattern to another user who has been provided with the same comparison video.

The user can make a swing motion according to the comparison video on the force plate 250. At this time, the force plate 250 can sense the pressure applied to the force plate 250 through the user's feet. Accordingly, one or more computing devices 101 may derive changes in pressure applied to the feet according to the movement of the user's body while the user swings.

One or more computing devices 101 may receive changes in pressure exerted by the feet of multiple users who have been provided with comparison videos of the same actual golfer and perform machine learning on the changes to derive a pattern of pressure changes in the feet.

Accordingly, users can swing by referring to the patterns of foot movements or body center of gravity movements of users who imitate the swing movements of the comparison videos.

Next, an example of the configuration of the computing device 101 will be described with reference to FIG. 5 .

Computing device 101 according to various embodiments of the present disclosure may be, for example, a smartphone, a tablet personal computer, a mobile phone, a video phone, or an e-book reader (e- book reader, desktop personal computer, laptop personal computer, netbook computer, workstation, server, camera, or wearable device (e.g. At least one of smart glasses, a head-mounted-device (HMD), an electronic garment, an electronic bracelet, an electronic necklace, an electronic accessory, an electronic tattoo, a smart mirror, or a smart watch. It can contain one.

In various embodiments, computing device 101 may be one or a combination of more of the various devices described above. Computing device 101 according to some embodiments may be a flexible computing device 101. Additionally, the computing device 101 according to an embodiment of the present disclosure is not limited to the above-described devices and may include new computing devices according to technological developments.

The computing device 101 includes a processor 120 and a memory 130, and may further include at least one of a bus 110, an input/output interface 150, a display 160, and a communication interface 170. In some embodiments, the computing device 101 may omit at least one of the above components or may additionally include other components.

The bus 110 may, for example, include a circuit that connects the components to each other and transfers communication (e.g., control messages and/or data) between the components.

The processor 120 includes at least one of a Micro Controller Unit (MCU), a Central Processing Unit (CPU), an Application Processor (AP), a Communication Processor (CP), a Graphic Processing Unit (GPU), and a Data Processing Unit (DPU). Unit) may further be included. The processor 120 may, for example, perform operations or data processing related to control and/or communication of at least one other component of the computing device 101.

Memory 130 may include non-volatile memory. For example, non-volatile memory may include, but is not limited to, at least one of ROM, HDD, ODD, SDD, and flash memory.

Memory 130 may store, for example, at least one of instructions, logic, and data related to at least one other component of computing device 101 . According to one embodiment, memory 130 may store software and/or program 140.

In addition to the memory 130, the provision device of the present invention may include volatile memory such as RAM.

The program 140 includes, for example, a kernel 141, middleware 143, an application programming interface (API) 145, and/or an application program (or “application”) 147, etc. may include. At least a portion of the kernel 141, middleware 143, or API 145 may be called an operating system (OS).

Kernel 141 may, for example, provide system resources (e.g., middleware 143, API 145, or application program 147) used to execute operations or functions implemented in other programs (e.g., : Bus 110, processor 120, or memory 130, etc.) can be controlled or managed. In addition, the kernel 141 provides an interface for controlling or managing system resources by accessing individual components of the computing device 101 in the middleware 143, API 145, or application program 147. You can.

The middleware 143 may, for example, perform an intermediary role so that the API 145 or the application program 147 can communicate with the kernel 141 to exchange data. In addition, the middleware 143 may, in relation to task requests received from the application program 147, provide system resources (e.g., bus (e.g., bus) of the computing device 101 to at least one application of the application program 147. 110), processor 120, or memory 130, etc.), control of work requests (e.g., scheduling or load balancing) can be performed using a method such as assigning a priority for use.

The API 145 is, for example, an interface for the application 147 to control functions provided by the kernel 141 or middleware 143, for example, file control, window control, image processing, or text. It may include at least one interface or function (e.g., command) for control, etc.

For example, the input/output interface 150 may serve as an interface that can transmit commands or data input from a user or another external device to other component(s) of the computing device 101. Additionally, the input/output interface 150 may output commands or data received from other component(s) of the computing device 101 to a user or other external device. For example, the input/output interface 150 may be a serial port, parallel port, PS/2, ADB (Apple Desktop Bus), SCSI (Small Computer System Interface), USB, HDMI, DVI-I, or Thunderbolt, but is limited thereto. That is not the case.

Display 160 may be, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical systems (MEMS) display, or electronic paper. paper) display and may include at least one of a beam projector. For example, the display 160 may display various contents (e.g., text, images, videos, icons, or symbols) to the user. The display 160 may include a touch screen and may receive, for example, a touch, gesture, proximity, or hovering input using an electronic pen or a part of the user's body.

The communication interface 170 may establish communication between, for example, the computing device 101 and an external device (eg, the external electronic device 104 or the server 106). For example, the communication interface 170 may be connected to the network 162 through wireless or wired communication to communicate with an external device (eg, the external electronic device 104 or the server 106).

Wireless communication or wired communication may be, for example, at least one of Bluetooth communication, NFC communication, Zigbee communication, Wi-Fi communication, cellular communication, and wired LAN, but is not limited thereto. Cellular communication may use, for example, at least one of LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, GSM, or IMT-2020, but is not limited thereto.

The network 162 may include, but is not limited to, at least one of a LAN, WAN, Internet, intranet, telephone network, mobile communication network, and blockchain.

The network 162 may include, but is not limited to, at least one of a LAN, WAN, Internet, intranet, telephone network, mobile communication network, and blockchain.

As described above, the embodiments according to the present invention have been examined, and the fact that the present invention can be embodied in other specific forms in addition to the embodiments described above without departing from the spirit or scope thereof will be recognized by those skilled in the art. It is self-evident. Therefore, the above-described embodiments are to be regarded as illustrative and not restrictive, and thus the present invention is not limited to the above description but may be modified within the scope of the appended claims and their equivalents.

Claims (9)

A camera unit generating a user video by capturing the user's swinging motion with a golf club;
At least one computing device receiving the user video and analyzing the user video;
Searching, by the one or more computing devices, a comparison video for the user's swing lesson in a database according to an analysis result of the user video; and
comprising the one or more computing devices providing the comparison video of the actual golfer swinging in a golf play in which the actual golfer participated,
The one or more computing devices
Sensing information is transmitted about the pressure with which the feet of each of the multiple users who received the same comparison video press the force plate during the swing process,
Through machine learning on the sensing information, the pattern of change in foot pressure during the swing process is derived,
A golf lesson method characterized by providing information about the pressure change pattern of the foot to another user who has been provided with the same comparison video. According to paragraph 1,
The camera part
It is provided in the user's mobile computing device to capture the user's swing with a golf club and generate the user video,
A golf lesson method, wherein the user's mobile computing device displays the comparison video for the user video. According to paragraph 1,
The one or more computing devices
Analyze the user video to derive skeleton model information about the user's swing movement,
A golf lesson method using a video, characterized in that the skeleton model information of the real golfer according to the skeleton model information of the user is searched in the database and the comparison video corresponding to the skeleton model information of the real golfer is provided. According to paragraph 3,
The one or more computing devices
A golf lesson method using a video, characterized in that the skeleton model information of the real golfer that is most similar to the virtual skeleton for each body part included in the user's skeleton model information is searched in the database and the comparison video is provided. According to paragraph 3,
The user's skeleton model information is matched with and stored with information about the type of golf club used in the user's swing movement,
A golf lesson method using a video, wherein the one or more computing devices provide skeleton model information of the actual golfer using the same golf club as the matched type in the comparison video. According to paragraph 3,
The user's skeleton model information is matched with and stored with information about the swing situation in which the user's swing motion was performed,
The one or more computing devices provide skeleton model information of the actual golfer who swung in the same situation as the swing situation in the comparison video,
The swing situation includes a swing situation on the tee ground, a swing situation in a hazard, a swing situation in a bunker, a swing situation in the fairway, and a swing situation in the rough. , A golf lesson method using a video, characterized in that it includes at least one of the swing situations on a putting green. According to any one of claims 3 to 6,
The one or more computing devices
By analyzing the skeleton model information about the user's swing motion, the movement and rotation of the skeleton and joints of the skeleton model information about the user's swing motion are derived,
Compare the movement and rotation of the skeleton and joints of the derived user's skeleton model information with the movement and rotation of the skeleton and joints of the actual golfer's skeleton model information,
A golf lesson method characterized by providing a guide to the user's swing motion according to the comparison. In clause 7,
The one or more computing devices
By deriving the movement and rotation of the skeleton and joints of the skeleton model information for the user's swing motion,
Calculate at least one of the degree of lower body turn, degree of back swing, degree of weight transfer, degree of waist bending angle, and degree of swing speed,
A golf lesson method comprising providing a guide by comparing the movement and rotation of the skeleton and joints of the skeleton model information of the real golfer with respect to the at least one. delete