KR102011996B1 - System for monitoring and analyzing posture - Google Patents

Abstract

A posture monitoring and analysis system according to an embodiment of the present invention includes: a monitoring device which monitors a bowling posture and motion of a user to generate monitoring data, and transmits the monitoring data to a user device; the user device which transmits the received monitoring data to a server as receiving the monitoring data from the monitoring device; and the server which receives the monitoring data and extracts correction information and lesson information about the bowling posture and motion of the user based on the received monitoring data. Therefore, the present invention provides an analysis method using an artificial intelligence algorithm, thereby obtaining an effect of accurately analyzing whether a user needs to correct a motion.

Description

Posture monitoring and analysis system {System for monitoring and analyzing posture}

The present invention relates to a posture monitoring and analysis system. More specifically, the present invention relates to a system for monitoring a bowling posture, calculating a correction for the bowling posture and providing the user with information about the correction.

As the need for so-called work and life balance, which means work-life balance, has increased, the number of courses for various leisure activities such as cooking, fitness, and crafts is increasing. As we enter the era of Warraval, the demand for courses in bowling, particularly indoor activities, is not expected to be high.

However, bowling, compared to other sports such as swimming, fitness, Pilates is rarely received individual training, and there is a lack of programs that help improve their skills, such as Go.

An object of the present invention is to monitor and provide a bowling posture and motion correction information for the bowling posture or motion required by the user based on this.

The posture monitoring and analysis system according to an embodiment of the present invention monitors a bowling posture and an operation of a user to generate monitoring data, and transmits the monitoring data to a user device, as the monitoring data is received from the monitoring device. And a server configured to receive the user device transmitting the received monitoring data to a server and to extract the calibration information and the lesson information about the bowling posture and the motion of the user based on the received monitoring data. Can be.

The present invention can evaluate the posture and motion of a user who performs a bowling game based on image information or motion information photographed or sensed using an electronic device, and provide posture and motion correction information for improving bowling ability. . Therefore, the present invention can help improve your own bowling skills in a simple way without having to take a separate instructor.

In addition, since the present invention provides an analysis method using an artificial intelligence algorithm, there is an effect that can more accurately analyze whether the user needs to correct the motion.

In addition, the present invention has an effect of more intuitively determining what operation means the correction instruction calculated by the server by providing a video using the avatar as well as the text of the user's correction.

1 is a view showing the configuration of a posture monitoring and analysis system according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of a server according to an exemplary embodiment of the present invention.
3 is a diagram illustrating a configuration of an operation determination unit according to an exemplary embodiment of the present invention.
4 is a diagram illustrating a configuration of a calibration information calculator according to an exemplary embodiment of the present invention.
5 is a diagram illustrating a configuration of a lesson support unit according to an exemplary embodiment of the present invention.
6 is a flowchart illustrating a calibration information providing process according to an exemplary embodiment of the present invention.

As the present invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description.

However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the drawings, similar reference numerals are used for similar elements.

When a component is said to be 'connected' or 'connected' to another component, it may be directly connected to or connected to that other component, but it may be understood that another component may exist in between Should be. On the other hand, when a component is said to be 'directly connected' or 'directly connected' to another component, it should be understood that no other component exists in the middle.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms 'comprise' or 'have' are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Hereinafter, when one user participates in bowling and performs a pitching motion, the posture monitoring monitors the posture and motion of the user, analyzes the posture of the user based on the monitoring signal, and provides correction or lesson information about the bowling motion. And an analysis system.

1 is a view showing the configuration of a posture monitoring and analysis system according to an embodiment of the present invention.

As shown in FIG. 1, the posture monitoring and analysis system according to an embodiment of the present invention may include a server 100, a user device 200, and a monitoring device 300.

The monitoring device 300 may include at least one of a camera photographing the user to observe the bowling posture of the user and smart shoes for sensing the step information of the user. According to an embodiment, the camera may be a device installed in a bowling alley. The camera may be positioned to photograph not only the user's body but also the trajectory of the bowling ball moving on the lane.

Preferably, the smart shoes can be implemented in the appearance of the bowling shoes. The smart shoes may be provided with a sensor to detect the degree of pressure applied by the user to the bottom of the insole. The smart shoes may be worn on the user's foot to sense the pressure applied by the user's body from a plurality of sensors provided at the bottom of the shoe to generate data about the user's weight, the user's stop and movement. In addition, the smart shoes may be provided with a communication unit for transmitting the sensed signal to the user device 200.

According to an embodiment of the present disclosure, the monitoring device 300 may be communicatively connected to the user device 200 using a wireless communication module, and may transmit data (image data, pressure data, etc.) generated by the monitoring device 300 to the user device 200 in real time. Thereafter, the user device 200 may transmit data received from the monitoring device 300 to the server 100. At this time, the user device 200 may have a posture analysis app for providing the data received from the monitoring device 300 to the server 100, the user information and monitoring from the monitoring device 300 to the server 100 through the posture analysis app Data can be transferred. In addition, the user device 200 may receive analysis information (eg, calibration information, lesson information) from the server 100 through the posture analysis app, display the same, and provide the same to the user.

According to various embodiments of the present disclosure, the monitoring device 300 may include an attitude analysis app supported by the server 100, and may directly transmit the serial number and monitoring data of the monitoring device to the server 100. In this case, after the user device 200 performs a communication connection with the server 100 through the posture analysis app, the monitoring device 300 provides an operation of inputting a serial number of the monitoring device 300 assigned to the server 100. You can check the information.

According to various embodiments of the present disclosure, the server 100 may be implemented in a form combined with the user device 200. According to an embodiment, the server 100 may be combined with a server that calculates a bowling score at a bowling alley. Accordingly, the server 100 may display the result analyzed by the server 100 through the display device in the bowling alley providing the bowling score as well as the user device 200. In this case, the server 100 may be set to provide posture correction information only when the user score is equal to or less than a predetermined level.

The user device 200 may include a personal mobile terminal such as a user's smart phone or tablet. In addition, the user device 200 may include a device having a display unit installed in each bowling lane.

2 is a block diagram illustrating a configuration of a server according to an exemplary embodiment of the present invention.

As shown in FIG. 2, the server 100 according to an embodiment of the present invention may include a communication unit 110, a storage unit 120, and a controller 130.

The communication unit 110 may use a network for data transmission and reception between a user device and a server, and the type of the network is not particularly limited. The network may be, for example, an IP (Internet Protocol) network providing a transmission / reception service of a large amount of data through an Internet protocol (IP), or an All IP network integrating different IP networks. The network may include a wired network, a wireless broadband network, a mobile communication network including WCDMA, a high speed downlink packet access (HSDPA) network, and a long term evolution (LTE) network, LTE advanced (LTE-A). ), Or one of a mobile communication network including 5G (Five Generation), a satellite communication network, and a Wi-Fi network, or a combination of at least one of them.

The communication unit 110 according to an embodiment of the present invention may perform wireless communication with the user device 200 and the monitoring device 300.

The storage unit 120 may include, for example, an internal memory or an external memory. The internal memory may be, for example, volatile memory (for example, dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM), etc.), non-volatile memory (for example, OTPROM (one). time programmable ROM (PROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash), hard drives, Or it may include at least one of a solid state drive (SSD).

The external memory may be a flash drive such as compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (mini-SD), extreme digital (XD), It may further include a multi-media card (MMC) or a memory stick. The external memory may be functionally and / or physically connected to the electronic device through various interfaces.

According to an embodiment of the present invention, the storage unit 120 stores user information received from the user device 200, option information related to a bowling game (eg, a grip method selected by the user, a grip method selected by the user, a step type selected by the user, and the like). You can save it very much.

In addition, the storage unit 120 may store AI learning information and AI algorithm models for determining whether a user needs to correct a bowling posture and motion, and may store various functions and commands required for AI calculation.

The storage unit 120 may store lesson related information to be provided to the user.

In addition, the storage unit 120 may store programs and commands required for the overall operation of the present invention.

The controller 130 may also be referred to as a processor, a controller, a microcontroller, a microprocessor, a microcomputer, or the like. On the other hand, the control unit may be implemented by hardware (hardware) or firmware (firmware), software, or a combination thereof.

In the case of implementation by firmware or software, an embodiment of the present invention may be implemented in the form of a module, procedure, function, etc. that performs the functions or operations described above. The software code may be stored in a memory and driven by the controller. The memory may be located inside or outside the user terminal and the server, and may exchange data with the controller by various known means.

According to an embodiment of the present disclosure, the controller 130 may extract a user's motion and calculate information for correcting the motion based on the monitoring data generated by the monitoring device 300. Further, the controller 130 may provide lesson information such as a lesson instructor and a video suitable for correcting a user's motion.

In the present invention, the controller 130 may include a signal collector 131, an operation determiner 132, a calibration information calculator 133, and a lesson supporter 134.

The signal collector 131 may receive various signals such as a signal generated by the monitoring device 300 and a signal transmitted from the user device 300 and classify them. In addition, the signal collector 131 may classify the collected signal based on the extension of the received signal, the serial number of the device transmitting the signal, and the like.

For example, the signal collector 131 may receive personal information input by the user from the user device 300, but may receive information (eg, a key, weight, etc.) related to the user's body.

According to various embodiments of the present disclosure, the user device 200 may perform a survey regarding bowling proficiency of the user based on information received from the server 100. Accordingly, the signal collector 131 may receive user response information about the survey. In addition, the signal collector 131 may receive option information related to bowling set by a user. The option information may include, for example, the user's step type (eg, 4 steps, 5 steps, etc.), the weight of the bowling ball, and the like.

The signal collector 131 may classify the collected signal data according to criteria of a device, a date, a user, and the like and store the collected signal data in the storage 120.

The operation determiner 132 may determine whether correction is required for the bowling posture and the bowling motion of the user based on the data collected and classified by the signal collector 131. A detailed description of the operation determination unit 132 will be described with reference to FIG. 3.

When it is determined that the user's bowling posture and bowling motion are required to be corrected, the calibration information calculator 133 may calculate a specific calibration item and provide the user with information about the correction. A more detailed description of the calibration information calculator 133 will be described with reference to FIG. 4.

The lesson support unit 134 may predict the bowling ability of the user from the characteristics of the bowling posture and the bowling motion of the user, and perform an operation of matching and providing a lesson instructor or a lecture video suitable for the user based on this. More details regarding the lesson support unit 134 will be described with reference to FIG. 5.

3 is a diagram illustrating a configuration of an operation determination unit according to an exemplary embodiment of the present invention.

As shown in FIG. 3, the operation determiner 132 according to an embodiment of the present invention may include a signal combination unit 132a and an artificial intelligence processor 132b. The signal combination unit 132a may combine a camera signal predicted to occur at the same time and a pressure signal detected through the smart shoes.

 The signal combination unit 132a is based on the combined signal of the user's posture (including the position of one body part such as the position of the shoulder, the position of the arm, and the position of the gaze) and the operation (eg, the direction of movement, the speed of the movement, the dither foot) Information about a continuous movement such as a position) can be determined. Furthermore, the signal combination unit 132a may determine the step information of the user. Specifically, the signal combination unit 132a may determine the number of steps generated from the time when the user starts the movement to pitch on the lane to the time of the pitch.

The signal combination unit 132a may determine the user's weight based on two types of weights detected from the smart shoes. At this time, the relatively small first weight among the two types of weights may be recognized as the weight of the user without the bowling ball, and the relatively heavy second weight may be recognized as the weight with the bowling ball. Accordingly, the signal combination unit 132a may determine that the user has entered the preparation for throwing the bowling ball when the sensing weight of the first weight to the second weight is changed. Similarly, the signal combination unit 132a may determine that the user throws the bowling ball on the lane when the sensing weight is changed from the second weight to the first weight after the throwing preparation and the stepping operation.

According to an embodiment of the present disclosure, the signal combination unit 132a defines a time point of change from the first weight to the second weight as the pitch preparation time, and a time point at which the sensing weight is changed from the second weight to the first weight after the pitch preparation and the walking operation. Can be defined as the throwing time. The signal combination unit 132a may determine the number of steps (eg, 4 steps and 5 steps) for throwing based on the detection signal of the smart shoes detected between the throwing preparation time and the throwing time.

Furthermore, the signal combination unit 132a may determine the load concentration phenomenon of the sole of the user, which occurs while the foot movement occurs. Whether or not the load is concentrated may be a data for judging the distortion of the user's posture generated during the later throwing movement. The signal combination unit 132a detects an area (eg, a toe area, an area between the soles of the toes, an area between the center of the heel, an area between the heel of the sole, the side of the sole, etc.) of the user's foot between the throwing preparation time and the throwing time It can be calculated based on the pressure signal for each sensor position.

The signal combination unit 132a may be configured such that, for example, the signal combination unit 132a may evenly distribute pressure throughout the sole of the foot when the user moves the foot based on a plurality of sensors present in the smart shoes, or walk with the heel. Can be determined.

Alternatively, the signal combination unit 132a may calculate information about the standing state of the user based on the difference between the detection pressures of the two publications. In the state taken by the camera, even in a normal standing state, there is a possibility that the actual user is inclined finely to one side due to the pressure difference between the two feet. That is, not only the walking state but also the standing state, the signal combination unit 132a may combine the data about the pressure difference sensed on each foot with other monitoring data to determine the distortion of the user's fine posture.

The artificial intelligence processor 132b may determine whether the posture and motion of the user determined by the signal combination unit 132a need to be corrected. The artificial intelligence processor 132b may determine whether the posture and motion of the user require correction based on an artificial intelligence algorithm learned from various bowling game image information.

The artificial intelligence processor 132b may extract a characteristic value of each element of the bowling posture and motion based on the acquired bowling game images of the professional bowling players, and train the artificial intelligence model on the characteristics of the standard posture of the bowling based on this. . Specifically, the artificial intelligence processing unit 132b based on the video information provided for artificial intelligence learning element of each motion including the number of steps of the user, the position of the shoulder of the user, the timing of the user's throwing, the degree of shoulder movement during the throwing Embedding may be performed to convert a vector into a multidimensional space.

In addition, according to an embodiment, the artificial intelligence processor 132b may collect only the image information of the user who has performed the strike and train the standard pose for the strike to the artificial intelligence model. Similarly, the AI processor 132b has a standard posture for hitting only a specific pin (eg, pin 9), and a standard posture for hitting a predetermined pin combination (eg, a combination of pins 7, 8, and 9). Can be learned based on the game video.

 Thereafter, the artificial intelligence processing unit 132b extracts a feature of each motion element based on a user's posture and motion information, converts the feature into a vector, and performs artificial intelligence calculation using the learned artificial intelligence model. According to the AI calculation result, the AI processor 132b may determine whether the similarity between the user's motion and the standard motion is equal to or greater than a preset value. In addition, the artificial intelligence processor 132b may determine that correction is required because the similarity between the bowling posture and the motion of the user and the standard posture and the motion is determined to be less than a preset value.

4 is a diagram illustrating a configuration of a calibration information calculator according to an exemplary embodiment of the present invention.

As shown in FIG. 4, the calibration information calculator 133 may include a calibration information provider 133a and a simulation provider 133b.

First, the calibration information providing unit 133a may generate detailed information for calibrating a user's bowling posture and motion and provide the same to the user device 200.

The calibration information providing unit 133a may immediately provide user-specific calibration information immediately after the throwing motion of the user so that the user may directly check the throwing posture and the motion at the bowling stadium.

In addition, the calibration information providing unit 133a may classify and store the user's bowling game occurrence record. Accordingly, the correction information providing unit 133a may support the user to check posture correction information on his / her past game at any time after logging in.

In addition, the calibration information providing unit 133a may calculate the correction matter of the bowling posture and the bowling motion of the user as text and provide the same to the user device 200.

The calibration information providing unit 133a may retrieve information about a basic bowling posture and a manual of an operation from the storage unit 120 and present the information to the user. In this case, the calibration information providing unit 133a may propose to extract and display a manual corresponding to a user's body position and an operation item that are a user's problem.

According to an embodiment of the present disclosure, the calibration information providing unit 133a may check whether the right foot is moved first with respect to a user who has four steps and has a right hand. In this case, the server 100 may prestore the manual indicating that the right foot should be moved first in the case of the right-handed four-step type, and accordingly, the correction information providing unit 133a may not detect the user's posture and motion with the previously stored manual. By comparison, corrections can be detected. The calibration information providing unit 133a may provide the user device 200 with a phrase, such as, “If the user moves the left foot first, the right foot should be moved first in the case of 4 steps”.

As described above, the calibration information providing unit 133a determines a posture or an operation of the user who does not match the pre-stored manual according to an embodiment, but the user inputs the number of steps, the location of the main hand, the weight of the main ball, etc. Judgment can be made based on the option information. The calibration information providing unit 133a may provide the user device 200 with manual items that do not match the postures and operations of the user.

The user device 200 may output a manual item calculated by the calibration information providing unit 133a by voice. Accordingly, the user 200 may listen to the corrections for his / her motion in real time while wearing a Bluetooth earphone, etc., and thus may receive a guide for his pitching posture and motion in real time.

If there is no operation manual that matches the problem of the posture or motion of the user, the correction information providing unit 133a may calculate the correction item of the user based on an artificial intelligence algorithm.

If the simulation providing unit 133b determines that the bowling posture and motion of the user are required to be calibrated as a result of the artificial intelligence calculation of the artificial intelligence processing unit 132b, the simulation provider 133b calculates a difference between the user's motion from the standard motion and provides it as a simulation. can do.

According to an embodiment of the present disclosure, the simulation provider 133b has a vector value separation degree in a multi-dimensional space of characteristic values of the standard posture and motion among the elements of the posture and motion of the user based on the AI calculation result of the artificial intelligence processor 132b. The calibration priorities can be calculated in the largest order. At this time, the calibration priority may be calculated as a calibration code including element-specific instructions such as body parts, bending angles, and speeds.

The simulation provider 133b may generate a virtual avatar for each user. The avatar may be generated based on image information of the user's weight and the user's posture detected by the smart shoes or directly input by the user.

Thereafter, the simulation provider 133b corresponds to a user's correction priority (eg, a code name) for the generated virtual avatar; the first priority corresponds to A1, the second rank to B3, and the third rank to F4. A simulation of the corrected posture can be created. The simulation provider 133b may primarily generate image and animation information of an avatar for representing a user's posture and motion when generating a simulation, and then secondly generate image and animation information of a corrected posture. have.

According to an embodiment, when the calibration code is A1, the meaning of 'A' in A1 may be a step order, and the meaning of '1' may be a changeover. In addition, assuming that the code A1 is calculated as the correction information, the simulation provider 133b generates the first animation information based on the user's movement so that the left foot of the avatar moves first, and the second animation information is the correction code. Follow the instructions in A1 to make the right foot move first.

    In short, the simulation provider 133b generates a calibration code including element-specific instructions including at least one of a body part, a bending angle, and a speed as calibration information about a posture and an operation of a user, and corresponds to the calibration code. Avatar animation can be created and provided.

5 is a diagram illustrating a configuration of a lesson support unit according to an exemplary embodiment of the present invention.

The lesson support unit 134 may perform a bowling ability evaluation operation to predict the bowling ability of the user based on the bowling posture and the bowling motion of the user. Thereafter, the lesson support unit 134 may match and recommend a lesson instructor suitable for the user and a video for bowling posture lesson based on the calculated bowling ability of the user.

Specifically, the operation of the lesson support unit 134 may be performed by the instructor matching unit 134a and the video matching unit 134b included in the lesson support unit 134.

 The instructor matching unit 134a may match the instructor based on the user's ability level. According to various embodiments of the present disclosure, the instructor matching unit 134a may include a ball movement trajectory corresponding to a posture of a user, a score of a user (which may be provided from a bowling alley server or may be obtained by a score score display unit), and the user's own average input by the user. The user's skill level may be evaluated based on at least one of the scores.

Thereafter, the instructor matching unit 134a may match the lecture class registered in the instructor or the server according to the user's ability level.

The video matching unit 134b may determine a weakness in a user's bowling posture and motion, and may provide a lecture video or a player video corresponding to the weakness of the user. In detail, the video matching unit 134b may calculate a characteristic of a posture or an action that is mainly pointed out by the user based on the details of the calculation of the calibration information of the user. Alternatively, the video matching unit 134b may determine, based on statistics of all users, a specific correction code that occurs more frequently than a predetermined ratio as other users' vulnerabilities. According to an embodiment of the present disclosure, the vulnerability of the user may also be calculated as a code name. However, the present invention is not limited thereto, and the vulnerability of the user may be calculated as a searchable word (eg, a gripping method) or a phrase (eg, a hook in a fingertip grip).

According to an embodiment, the video matching unit 134b may support uploading a video of the user. The video matching unit 134b may support a posture and an operation of the user recorded in the video by a plurality of other users. For example, the video matching unit 134b may support a vote for a predetermined number of items that are rated as excellent among a plurality of evaluation items for one video. Accordingly, the video matching unit 134b may classify the self-photographed images uploaded to the server by the excellent item. In addition, the video matching unit 134b may provide a user with videos that have received excellent votes for the corresponding item (item A) to compensate for a weakness (eg, item A) of the user.

6 is a flowchart illustrating a calibration information providing process according to an exemplary embodiment of the present invention.

The controller 130 of the server according to an embodiment of the present invention may calculate calibration information of the bowling motion (or posture) of the user in the order shown in FIG. 6.

First, the controller 130 may perform operation 605 of collecting signals related to a posture and an operation of a user. In this case, operation 605 may be an operation of collecting a user motion signal sensed by a camera or smart shoes, option information (step information, bowling ball weight, etc.) designated by the user.

Thereafter, the controller 130 may perform operation 610 to determine whether the bowling motion (or posture) of the user needs correction based on the collected signal. Accordingly, when it is determined in operation 615 that the user's operation requires calibration, the controller 130 may perform operation 620 that calculates calibration information and provides the same through the user device. On the other hand, if it is determined that the bowling operation (or posture) of the user does not require correction, the controller 130 may end the operation of FIG. 6.

Although the present invention has been described in detail with reference to the above examples, those skilled in the art can make modifications, changes, and variations to the examples without departing from the scope of the invention. In short, in order to achieve the intended effect of the present invention, it is not necessary to separately include all the functional blocks shown in the drawings or to follow all the orders shown in the drawings in the order shown; Note that it may fall within the scope.

110: communication unit
120: storage unit
130: control unit
131: signal collector
132: operation determination unit
133: calibration information calculation unit
134: Lesson support unit

Claims (9)

A monitoring device for monitoring the bowling posture and the motion of the user to generate monitoring data and transmitting the monitoring data to a user device;
A user device for transmitting the received monitoring data to a server in response to receiving the monitoring data from the monitoring device; And
And receiving the monitoring data and extracting calibration information and lesson information about a bowling posture and an operation of the user based on the received monitoring data.
The monitoring device
A camera for photographing the movement of the user's body and the moving trajectory of the bowling ball; And
Smart shoes worn on the user's feet to sense the pressure applied by the user's body from a plurality of sensors provided at the bottom of the shoe to generate data about the user's weight, the user's stop and move; Including,
The server is
And a controller configured to calculate calibration information regarding a bowling posture and an operation of the user, and classify and manage the calculated calibration information according to a predetermined criterion.
The control unit
A signal collector to classify signals related to monitoring data received from the monitoring device and the user device according to preset criteria;
An operation determination unit determining whether a correction is required for the bowling posture and the bowling motion of the user based on the data collected and classified by the signal collector;
If it is determined that the user's bowling posture and bowling motion is required to be corrected, a calibration information calculation unit for calculating specific calibration information and providing the user with the calculated calibration information;
The operation determining unit
It includes a signal combination unit for determining the user's posture and motion by combining the camera signal is predicted to occur at the same time, the pressure signal detected through the smart shoes,
The signal combination unit
On the basis of the pressure signal detected by the camera signal and the smart shoes to determine the number of steps generated between the throwing time and throwing time of the user,
Recognizing the relatively light first weight of the two types of weight detected from the smart shoes as the weight without the ball, and recognizes the second relatively heavy weight as the weight with the ball, the first weight The timing at which the weight changes to the second weight is determined as the throwing preparation time point, and the timing at which the detected weight is changed from the second weight to the first weight after the throwing preparation time and steps is determined as the throwing time point, And a signal combination unit configured to determine a degree of inclination of the posture in the standing state of the user based on the difference value of the sensed pressure. delete The method of claim 1,
The server is
Communication unit for transmitting and receiving data with the monitoring device and the user device;
And a storage unit configured to store monitoring data received from the monitoring device, user information received from the user device, and option information related to a bowling game.
And the option information includes at least one of a gripping method, a grip method, a step type, and a weight of a bowling ball selected by a user. The method of claim 1,
The control unit
Posture monitoring and analysis system comprising a; and a lesson support unit for predicting the user's bowling ability from the characteristics of the bowling posture and the bowling motion of the user, based on the matching lesson instructor or lecture video suitable for the user. The method of claim 1,
The posture is position information of one body part including at least one of a shoulder position, an arm position, and a gaze position.
And the operation determined by the signal combination unit is information on continuous movement including at least one of a direction of movement, a speed of movement, and a position of a dither foot. The method of claim 1,
The operation determining unit
Based on the user's posture and motion information, we extract the feature of each motion element, convert it into a vector, put it into a pre-learned AI model, and perform AI calculation.
Posture monitoring, comprising: an artificial intelligence processor that determines that correction of the posture and motion of the user is required as the similarity between the user's motion and the standard motion is determined to be less than a preset value as a result of the AI calculation. Analysis system. The method of claim 6,
The artificial intelligence model
Posture monitoring and analysis system, characterized in that the model to learn the characteristics of the standard posture and motion of bowling by extracting the characteristic values of each element of the bowling posture and motion based on the acquired bowling game images of professional bowling players. The method of claim 4, wherein
The calibration information calculation unit
A calibration information providing unit for providing a manual of a posture or an operation as calibration information when a posture or an operation of the user who does not match the previously stored manual exists;
Simulation to generate a correction code including an element-specific instruction including at least one of a body part, a bending angle, and speed as correction information about a posture and a motion of a user, and generates and provides an avatar animation corresponding to the correction code. Providing unit; posture monitoring and analysis system comprising a. The method of claim 8,
The lesson support unit
Evaluate a user's skill level based on at least one of a ball ball trajectory corresponding to a user's posture and a user's score, and match the user with an instructor corresponding to the evaluated user's skill level or a registered class. Matching unit; And
A posture monitoring and analysis system comprising: a video matching unit for determining a user's vulnerability based on the occurrence statistics of the calibration code, and matching and providing a video evaluated as having the same evaluation item as the user's vulnerability. .

Images