KR20210059838A - Table tennis training device - Google Patents

Abstract

According to some embodiments of the present disclosure, disclosed is a ping-pong training apparatus capable of performing efficient ping-pong training. The apparatus comprises: a target board comprising a plurality of segments; a plurality of light output units provided at outermost portions of each of the plurality of segments; a measuring unit for detecting vibrations generated in each of the plurality of segments; a score calculation unit for calculating a score based on the vibration sensed by the measuring unit; and a control unit for recognizing that the ping-pong ball has been fired from a ping-pong ball shooting unit, and when a preset time elapses from the time when the shooting of the ping-pong ball is recognized, controlling the light output unit, provided at the outermost part of at least one segment among the plurality of segments, to be turned on.

Description

Table tennis training device {TABLE TENNIS TRAINING DEVICE}

The present disclosure relates to a table tennis training apparatus, and more particularly, to a table tennis training apparatus including a target segment that changes.

Table tennis is a popular indoor exercise regardless of age or gender, and it is a sport that allows you to enjoy exercise in a relatively narrow space if you only have a table, racket, and ping-pong ball.

However, as 　Table tennis is a kind of interpersonal exercise, two or more people must be together for a match or 　practice, so it is a device for 　practice or defense training of the basic movements of ping-pong without an opponent. It is known in the art.

As such a conventional 　 table tennis ball launching device, the 　 table tennis game robot of Korean Laid-Open Patent Publication No. 10-2011-0010203 is known, and this apparatus is a device that launches a table tennis ball based on various conditions.

However, such a conventional table tennis ball launching device can only perform defense training, and attack training is impossible. In addition, the conventional ping pong ball launching apparatus has a problem in that it is difficult to confirm exactly at which position the ping pong ball is dropped, even if attack training is performed.

Accordingly, there may be a need in the industry for a table tennis training apparatus capable of attack training for dropping a table tennis ball on a target area on a table tennis table.

The present disclosure has been devised in response to the above-described background technology, and an object thereof is to provide a table tennis training apparatus.

The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

According to some embodiments of the present disclosure for solving the problems as described above, a table tennis ball training apparatus is disclosed. The device comprises: a target board comprising a plurality of segments; A plurality of light output units provided at the outermost part of each of the plurality of segments; A measuring unit for sensing vibrations generated in each of the plurality of segments; A score calculation unit that calculates a score based on the vibration sensed by the measurement unit; And when a predetermined time has elapsed from the time when the table tennis ball is launched from the table tennis ball launch unit and the time has passed from the time when the table tennis ball is fired, the light output unit provided at the outermost portion of at least one of the plurality of segments. It may include; a control unit that controls to be turned on.

In addition, the device may include a camera unit for acquiring a training image of a user; And a memory for storing first motion data of a professional player; wherein the controller obtains second motion data of the user by using the training image, and the first motion data and the second motion data Feedback information may be generated based on a result of comparing.

In addition, the device may include a communication unit for transmitting the feedback information to the user terminal of the user; And a display unit that displays the feedback information.

In addition, the device may include a memory for storing training log data of each of a plurality of users; And a user input unit receiving user identification information.

In addition, the training log data includes a score calculated by the score calculation unit, and the control unit recognizes a first user among the plurality of users based on the user identification information inputted by the user input unit, and the Based on the training log data of the first user, the first light output unit provided at the outermost part of the first segment among the plurality of segments may be controlled to be turned on.

In addition, the control unit assigns priority from the segment having the highest number of misses among the plurality of segments based on the miss history included in the training log data of the first user, and gives priority to each of the plurality of segments. Based on the ranking, the frequency of turning on each of the plurality of light output units may be determined.

In addition, the control unit generates light emission pattern data related to light emission patterns emitted from the plurality of light output units by calculating training log data of each of the plurality of users using a light emission pattern generation model, and the memory, The light emission pattern data may be stored, and the light emission pattern data may include a light emission pattern corresponding to each of a plurality of difficulty levels and a light emission pattern corresponding to each of a plurality of users.

In addition, the emission pattern generation model may be configured with an artificial neural network and may be learned through a supervised learning method.

In addition, the control unit generates learning data by labeling the learning light emission pattern data on the learning training log data corresponding to the input of the learning data, and includes one or more network functions using a learning data set including the learning data. The emission pattern generation model may be generated to output the emission pattern data based on training log data of each of the plurality of users by training the emission pattern generation model.

In addition, the measurement unit may transmit location information of the segment in which the vibration is detected to the score calculation unit, and the score calculation unit may calculate a score based on the location information received from the measurement unit.

In addition, the score calculation unit, when calculating a score based on the position information received from the measuring unit, receives the first position information of the segment turned on the light output unit from the control unit, the first position information and the The score may be calculated by comparing the second location information received from the measurement unit.

In addition, the device may further include a display unit that displays the score calculated by the score calculation unit.

In addition, the target board may be characterized in that it can be folded along an outer periphery of at least one of the plurality of segments.

In addition, the apparatus further includes a communication unit for receiving personal training data from a user terminal, wherein the control unit includes a light output provided at an outermost portion of at least one of the plurality of segments based on the personal training data. It can be controlled to turn on the side.

In addition, the personal training data may include light emission pattern data related to light emission patterns emitted from the plurality of light output units, and the light emission pattern data may include a light emission pattern preset by the user.

The technical solutions obtained in the present disclosure are not limited to the above-mentioned solutions, and other solutions that are not mentioned are clearly to those of ordinary skill in the technical field to which the present disclosure belongs from the following description. It will be understandable.

The present disclosure may provide a table tennis training apparatus capable of performing efficient table tennis training.

The effects obtainable in the present disclosure are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art from the following description. .

Various aspects are now described with reference to the drawings, wherein like reference numbers are used collectively to refer to like elements. In the examples that follow, for illustrative purposes, a number of specific details are presented to provide a comprehensive understanding of one or more aspects. However, it will be apparent that such aspect(s) may be practiced without these specific details.
1 is a block diagram of a table tennis training apparatus according to some embodiments of the present disclosure.
2 is a diagram for describing a table tennis training apparatus according to some embodiments of the present disclosure.
3 is a diagram illustrating an example in which a user uses a table tennis training apparatus according to some embodiments of the present disclosure.
4 is a flowchart illustrating an example of calculating a score by the table tennis training apparatus according to some embodiments of the present disclosure.
5 is a diagram illustrating an example of a screen displayed on a display unit or a user terminal of a table tennis training apparatus according to some embodiments of the present disclosure.
6 is a block diagram of an artificial neural network constituting a light emission pattern generation model according to some embodiments of the present disclosure.
7 shows a simplified and general schematic diagram of an exemplary computing environment in which some embodiments of the present disclosure may be implemented.

Various embodiments and/or aspects are now disclosed with reference to the drawings. In the following description, for illustrative purposes, a number of specific details are disclosed to aid in an overall understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that this aspect(s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of the one or more aspects. However, these aspects are exemplary and some of the various methods in the principles of the various aspects may be used, and the descriptions described are intended to include all such aspects and their equivalents. Specifically, as used herein, “an embodiment”, “example”, “aspect”, “example”, and the like are not construed as having any aspect or design being better or advantageous than other aspects or designs. May not.

Hereinafter, the same or similar components are assigned the same reference numerals regardless of the reference numerals, and redundant descriptions thereof are omitted. In addition, in describing the embodiments disclosed in the present specification, when it is determined that a detailed description of related known technologies may obscure the subject matter of the embodiments disclosed in the present specification, the detailed description thereof will be omitted. In addition, the accompanying drawings are for easy understanding of the embodiments disclosed in the present specification, and the technical spirit disclosed in the present specification is not limited by the accompanying drawings.

The terms used in the present specification are for describing exemplary embodiments and are not intended to limit the present disclosure. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used herein, “comprises” and/or “comprising” do not exclude the presence or addition of one or more other elements other than the mentioned elements.

Although the first, second, and the like are used to describe various devices or components, it goes without saying that these devices or components are not limited by these terms. These terms are only used to distinguish one device or component from another device or component. Therefore, it goes without saying that the first device or component mentioned below may be a second device or component within the spirit of the present disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used with meanings that can be commonly understood by those of ordinary skill in the art to which this disclosure belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

In addition, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise or is not clear from the context, "X employs A or B" is intended to mean one of the natural inclusive substitutions. That is, X uses A; X uses B; Or when X uses both A and B, "X uses A or B" can be applied to either of these cases. In addition, the term “and/or” as used herein should be understood to refer to and include all possible combinations of one or more of the listed related items.

In addition, the terms "information" and "data" as used herein may often be used interchangeably with each other.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it is directly connected to or may be connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The suffixes "module" and "unit" for constituent elements used in the following description are given or used interchangeably in consideration of only the ease of preparation of the specification, and do not have meanings or roles that are distinguished from each other by themselves.

Objects and effects of the present disclosure, and technical configurations for achieving them will become apparent with reference to the embodiments described later in detail together with the accompanying drawings. In describing the present disclosure, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present disclosure, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present disclosure, which may vary according to the intention or custom of users or operators.

However, the present disclosure is not limited to the embodiments disclosed below, and may be implemented in various different forms. The present embodiments are provided only to make the present disclosure complete, and to fully inform the scope of the disclosure to those of ordinary skill in the art to which the present disclosure belongs, and the present disclosure is only defined by the scope of the claims. . Therefore, the definition should be made based on the contents throughout the present specification.

1 is a block diagram of a table tennis training apparatus according to some embodiments of the present disclosure.

According to some embodiments of the present disclosure, the table tennis training apparatus 100 includes a control unit 110, a score calculation unit 111, a target board 120, an optical output unit 121, a measurement unit 122, and a plurality of segments. 123, a table tennis ball launching unit 130, a memory 140, a user input unit 150, a display unit 160, a communication unit 170, and may include a camera unit 180. However, since the above-described components are not essential to implement the table tennis training apparatus 100, the table tennis training apparatus 100 may have more or less components than the above-listed components. Here, each of the components may be configured as a separate chip, module or device, or may be included in one device.

According to some embodiments of the present disclosure, the control unit 110 may control the table tennis ball launch unit 130 so that the table tennis ball launch unit 130 launches the table tennis ball toward the user. Specifically, the controller 110 may control the ping pong ball launching unit 130 based on the ping pong ball launching pattern stored in the memory 140. Here, the ping-pong ball firing pattern may include a direction in which the ping-pong ball is fired, the pitch of the ping-pong ball (the spin direction of the ping-pong ball), the speed at which the ping-pong ball is fired, and the number of times the ping-pong ball is fired.

However, the present invention is not limited thereto, and the table tennis ball launch unit 130 may be controlled by a user terminal. For example, the user terminal may transmit a signal for controlling to fire a table tennis ball to the table tennis ball launch unit 130.

According to some additional exemplary embodiments of the present disclosure, the control unit 110 may receive information on a launch pattern of a table tennis ball launched from the table tennis ball launch unit 130 from the table tennis ball launch unit 130. However, the present invention is not limited thereto, and the control unit 110 may directly recognize the ping pong ball using a device (eg, a gyro sensor, a motion detection sensor, and a camera) for recognizing a firing pattern of a table tennis ball.

According to some embodiments of the present disclosure, the control unit 110 controls the table tennis ball launch unit 130 to fire the table tennis ball, and then the light output unit provided at the outermost portion of at least one segment of the plurality of segments 123 It can be controlled so that 121 is turned on.

However, the present invention is not limited thereto, and the control unit 110 recognizes the ping pong ball launched from the ping pong ball launch unit 130 and then the light output unit ( 121) can also be controlled to turn on.

That is, the controller 110 may recognize that the table tennis ball is launched from the table tennis ball launch unit 130. In addition, when a preset time has elapsed from the time when it is recognized that the table tennis ball is launched, the control unit 110 controls the light output unit provided at the outermost portion of at least one of the plurality of segments 123 to be turned on. I can.

According to some embodiments of the present disclosure, the measurement unit 122 may detect vibrations generated in each of the plurality of segments 123 included in the target board 120. Meanwhile, the score calculation unit 111 may calculate a score based on the vibration sensed by the measurement unit 122. However, the present invention is not limited thereto, and the measurement unit 122 may detect pressure generated in at least one segment of the plurality of segments 123 included in the target board 120. In this case, the score calculation unit 111 may calculate a score based on the pressure change sensed by the measurement unit 122.

The memory 140 stores data supporting various functions of the table tennis training apparatus 100. The memory 140 includes a plurality of application programs (application programs or applications) driven by the table tennis training apparatus 100, data for the operation of the table tennis training apparatus 100 (eg, a light emission pattern and The firing pattern of the ping pong ball launch unit, etc.), and commands can be stored. In addition, the memory 140 may temporarily or permanently store input/output data. In addition, the memory 140 may store display and sound data. Here, the memory 140 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.) , RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), Magnetic Memory , A magnetic disk, or an optical disk, at least one type of storage medium may be included.

Meanwhile, the application program is stored in the memory 140, installed on the table tennis training apparatus 100, and driven by the control unit 110 to perform the operation (or function) of the table tennis training apparatus 100. have.

According to some embodiments of the present disclosure, the memory 140 may store first motion data of a professional player. Here, the first motion data stored in the memory 140 may be compared with the second motion data of the user to provide feedback information to the user. Hereinafter, a description of the feedback information will be described later in the description of the camera unit 180.

The user input unit 150 may be an input button provided in the table tennis training apparatus 100 or a touch screen of the display unit 160. In addition, the user input unit 150 may receive user information input from an external device or application other than the table tennis training apparatus 100. Here, the external device may mean a PC, a user terminal, and a wearable device.

As described above, the user input unit 150 may receive user information from a user. Here, the user information may include user identification information capable of identifying at least one user among the plurality of users. The user input unit 150 may receive a selection input for selecting a light emission pattern of the light output unit 121 from a user. That is, the user may perform table tennis training desired by the user through the user input unit 150.

The display unit 160 displays (outputs) information processed by the table tennis training apparatus 100. For example, the display unit 160 includes information on the execution screen of an application program driven by the table tennis training apparatus 100, information related to the result of table tennis training, or a UI (User Interface) or GUI (Graphic User) according to the execution screen information. Interface) information can be displayed.

The display unit 160 may form a layer structure with the touch sensor or are integrally formed to implement a touch screen. Such a touch screen may function as a user input unit 150 that provides an input interface between the table tennis training apparatus 100 and a user, and may provide an output interface between the table tennis training apparatus 100 and the user.

The communication unit 170 may include one or more modules that enable communication between the table tennis training apparatus 100 and a communication system and between the table tennis training apparatus 100 and a user terminal. In addition, the communication unit 170 may include one or more modules that connect the table tennis training apparatus 100 to one or more networks. The communication unit 170 may include at least one of a wireless Internet module and a short-range communication module.

When a user performs table tennis training using the table tennis training apparatus 100, the camera unit 180 may process an image frame such as a still image or a video obtained by an image sensor. Here, the image frame processed by the camera unit 180 may be displayed on the display unit 160 or stored in the memory 140. Also, the image frame processed by the camera unit 180 may be used when the controller 110 recognizes a user's motion. Meanwhile, the camera unit 180 provided in the table tennis training apparatus 100 may be arranged to form a matrix structure, and through the camera unit 180 constituting the matrix structure as described above, the table tennis training apparatus 100 may have various angles or A plurality of image information having a focus may be input. In addition, the camera unit 180 may be arranged in a stereo structure to obtain a left image and a right image for implementing a stereoscopic image.

The camera unit 180 may acquire a user's training image. In this case, the controller 110 may acquire second motion data of the user by using the training image. Meanwhile, the memory 140 may store first motion data of a professional player.

Further, the controller 110 may generate feedback information based on a result of comparing the first motion data and the second motion data. That is, the controller 110 may generate feedback information by comparing the table tennis posture of the professional player and the table tennis posture of the user based on the motion data.

For example, the controller 110 may generate feedback information related to correcting a user's posture by comparing the first motion data and the second motion data.

For example, the controller 110 compares the first motion data with the second motion data, and feedback information related to correcting the height of the elbow in the user's smashing posture (eg, "When smashing, lower the elbow." Text) can be created.

In another example, the control unit 110 compares the first motion data and the second motion data, and provides feedback information related to correcting the degree of bending of the waist in the service posture of the user (eg, “When servicing, the waist is further bent. Text such as "Please do it") can be created.

Meanwhile, the control unit 110 may control the communication unit 170 to transmit the feedback information to the user terminal of the user.

Accordingly, a user using the table tennis training apparatus 100 can check feedback information related to posture correction even after the table tennis training is ended through the user terminal.

Also, the control unit 110 may control the display unit 160 to display the feedback information.

Accordingly, a user who uses the table tennis training apparatus 100 can intuitively receive feedback information related to posture correction.

According to some additional embodiments of the present disclosure, the controller 110 may transmit the training image of the user acquired through the camera unit 180 to the expert terminal. In this case, the user may be provided with feedback information from an expert. That is, the user terminal may receive feedback information from the expert terminal. However, the present invention is not limited thereto, and the user may directly shoot a training image to the user terminal and transmit the captured user's training image to the expert terminal. In this case, the user may also receive feedback information from an expert.

The controller 110 typically controls the overall operation of the table tennis training apparatus 100. The controller 110 may provide or process appropriate information or functions to a user by processing signals, data, information, etc. input or output through the above-described components or by driving an application program stored in the memory 140.

In addition, the controller 110 may control at least some of the components discussed with reference to FIG. 1 in order to drive the application program stored in the memory 140. Further, in order to drive the application program, the control unit 110 may operate by combining at least two or more of the components included in the table tennis training apparatus 100 with each other.

At least some of the components may operate in cooperation with each other to implement the operation, control, or control method of the table tennis training apparatus 100 according to various embodiments described below. In addition, the operation, control, or control method of the table tennis training apparatus 100 may be implemented on the table tennis training apparatus 100 by driving at least one application program stored in the memory 140.

2 is a diagram for describing a table tennis training apparatus according to some embodiments of the present disclosure. 3 is a diagram illustrating an example in which a user uses a table tennis training apparatus according to some embodiments of the present disclosure.

First, referring to FIG. 2, the target board 120 may include a light output unit 121, a measurement unit 122, and a plurality of segments 123.

In addition, the target board 120 may be folded along an outer periphery of one or more segments of the plurality of segments 123.

As the target board 120 is foldable, mobility of the table tennis training apparatus 100 may be improved.

The light output unit 121 may be turned on or off by the control unit 110. Specifically, the control unit 110 may recognize that the ping pong ball is launched from the ping pong ball launch unit 130. And, when a preset time (eg, 0 seconds, 0.5 seconds, 1 second, etc.) has elapsed from the time when the control unit 110 recognizes that the ping-pong ball is launched, at least one of the plurality of segments 123 The light output unit 121 provided at the outermost part of the segment may be controlled to be turned on.

On the other hand, the control unit 110 may control the table tennis ball launch unit 130 to fire the table tennis ball. That is, the controller 110 may recognize that the table tennis ball is launched from the table tennis ball launch unit 130. In addition, when a preset time (eg, 0 seconds, 0.5 seconds, 1 second, etc.) has elapsed from the time when the control unit 110 recognizes that the table tennis ball is launched, at least one segment of the plurality of segments 123 The light output unit 121 provided at the outermost part of the (target segment) may be controlled to be turned on.

That is, the light output unit 121 may be turned on after the ping pong ball is launched from the ping pong ball launch unit 130. Accordingly, the user can improve his quickness through table tennis training in which he needs to recognize the target segment and perform a swing motion after the table tennis ball is launched.

The measurement unit 122 may detect vibration generated in the target board 120. In addition, the measurement unit 122 may transmit location information of the segment in which the vibration is sensed to the score calculation unit 111. Here, the measurement unit 122 may be at least one vibration detection sensor.

However, the present invention is not limited thereto, and the measurement unit 122 may detect a pressure change occurring in the target board 120. In this case, the measurement unit 122 may be at least one pressure sensor. Alternatively, the measurement unit 122 may detect an impact generated by the target board 120. In this case, the measurement unit 122 may be at least one impact detection sensor.

Additionally, the measurement unit 122 may detect all vibrations, pressure changes, and impacts generated from the target board 120. That is, the measurement unit 122 may be composed of a plurality of sensors. In this case, the measurement unit 122 may more accurately acquire location information of the segment where the table tennis ball is hit on the target board 120.

When the measurement unit 122 detects the vibration (or pressure change and impact, etc.) of the target board 120, the score calculation unit 111 scores a score based on the detected vibration (or pressure change and impact, etc.). Can be calculated. Specifically, the score calculation unit 111 may calculate a score based on the location information received from the measurement unit 122 and the location information received from the control unit 110. For example, the score calculation unit 111 may receive first position information of a segment in which the light output unit is turned on from the control unit 110. In addition, the score calculation unit 111 may receive second location information from the measurement unit 122. In addition, the score calculating unit 111 may compare the first location information and the second location information, and assign a score when the locations match, and may not give a score when the location is different.

As an example, the score calculated by the score calculation unit 111 may indicate whether the target segment determined by the control unit 110 is hit with a table tennis ball. That is, the score calculation unit 111 may calculate 1 point if the table tennis ball is hit on the target segment determined by the control unit 110, and 0 if the table tennis ball is not hit on the target segment.

In another example, the score calculation unit 111 is 2 points when a table tennis ball is hit in the central area of the target segment determined by the control unit 110, 1 point when the table tennis ball is hit in an area other than the central area of the target segment, and the target If the ping pong ball is not hit on the segment, 0 points can be calculated. Here, the central area of the target segment may be an area corresponding to a preset radius at the center of the segment.

Referring to FIG. 3, the controller 110 recognizes that the table tennis ball is launched from the table tennis ball launch unit 130, and then outputs light provided at the outermost part of the first segment 123-1 among the plurality of segments 123. The part 121 can be turned on. Meanwhile, the user may hit the launched table tennis ball 124 to hit the table tennis ball 124 in the first segment 123-1.

In this case, the measurement unit 122 may detect the vibration of the first segment 123-1. In addition, the measurement unit 122 may transmit location information of the first segment 123-1 to the score calculation unit 111. In addition, the control unit 110 may transmit location information of the first segment 123-1 in which the light output unit 121 is turned on, to the score calculation unit 111. Accordingly, the score calculation unit 111 may recognize that the light output unit 121 is turned on in the first segment 123-1 and that the table tennis ball is hit in the first segment 123-1. In addition, the score calculation unit 111 may calculate a score based on recognizing that the ping pong ball hit the first segment 123-1.

According to some additional embodiments of the present disclosure, the control unit 110 may control the light output unit 121 based on the score calculated by the score calculation unit 111. That is, the controller 110 may control the light output unit 121 to output different brightness or color of light output from the light output unit 121 according to the calculated score. Here, the score calculated by the score calculator 111 may correspond to the accuracy of hitting the target segment with a table tennis ball by the user.

For example, the control unit 110 may control the light output unit 121 to turn on red light when the score calculated by the score calculation unit 111 is 2 points. Meanwhile, when the score calculated by the score calculator 111 is 1, the controller 110 may control the light output unit 121 to turn on the orange light.

For another example, when the score calculated by the score calculation unit 111 is 2 points, the control unit 110 may control the light output unit 121 to turn on the light of the first brightness. Meanwhile, when the score calculated by the score calculator 111 is 1, the controller 110 may control the light output unit 121 to turn on the light of the second brightness. Here, the first brightness and the second brightness may be different brightnesses.

Therefore, when the user hits the table tennis ball on the target segment, the accuracy thereof can be intuitively recognized.

4 is a flowchart illustrating an example of calculating a score by the table tennis training apparatus according to some embodiments of the present disclosure.

According to some embodiments of the present disclosure, the controller 110 may control the table tennis ball launch unit 130 to fire a table tennis ball. However, the present invention is not limited thereto, and the table tennis ball launch unit 130 may be controlled by a user terminal. For example, the user terminal may transmit a signal for controlling to fire a table tennis ball to the table tennis ball launch unit 130.

On the other hand, the control unit 110 may recognize that the ping pong ball is launched from the ping pong ball launch unit 130 (S110).

In addition, the control unit 110 may control the light output unit 121 to be turned on when a preset time has elapsed from the time when the table tennis ball launch unit 130 recognizes that the ping pong ball has been launched (S120).

For example, the controller 110 may control the light output unit 121 to be turned on based on training log data stored in the memory 140. Specifically, the control unit 110 may recognize a first user among a plurality of users based on user information input by the user input unit 150. Also, the controller 110 may recognize training log data of the first user among log data stored in the memory 140. Here, the log data may be transmitted to the user terminal by a request signal from the user terminal. That is, when receiving a log data request signal from the user terminal, the controller 110 may control the communication unit 170 to transmit the log data to the user terminal.

Meanwhile, the controller 110 may control the first light output unit provided at the outermost portion of the first segment among the plurality of segments 123 to be turned on based on the training log data of the first user.

For example, the control unit 110 may prioritize the segment having the highest number of misses among the plurality of segments 123 based on the miss history included in the log data of the first user. Also, the controller 110 may determine the frequency of turning on each of the plurality of light output units 121 based on the priority given to each of the plurality of segments 123.

Accordingly, the controller 110 may control the light output unit 121 to be turned on or off based on the frequency determined according to the priority given to each of the plurality of segments 123. In other words, the user can compensate for the vulnerability by practicing matching segments that he or she cannot fit well with the table tennis ball.

As another example, the controller 110 may generate light emission pattern data by calculating training log data of each of a plurality of users using a light emission pattern generation model stored in the memory 140. Here, the emission pattern generation model may be composed of an artificial neural network. In addition, the emission pattern generation model may be learned through a supervised learning method. Hereinafter, a description of the artificial neural network will be described later with reference to FIG. 6. In addition, the light emission pattern data may include a light emission pattern corresponding to each of a plurality of difficulty levels and a light emission pattern corresponding to each of a plurality of users. Further, the light emission pattern data may be stored in the memory 140.

Specifically, the control unit 110 may generate learning data by labeling the learning emission pattern data on the learning training log data corresponding to the input of the learning data. In addition, the controller 110 trains a light emission pattern generation model including one or more network functions using a training data set including training data to output light emission pattern data based on training log data of each of a plurality of users. A light emission pattern generation model may be generated and stored in the memory 140.

Accordingly, the controller 110 may control the light output unit 121 to be turned on or off based on the light emission pattern data. In other words, the user can compensate for the vulnerability by practicing matching segments that he or she cannot fit well with the table tennis ball.

As another example, the controller 110 may recognize the strengths and weaknesses of the first user included in the log data of the first user. Here, the strengths and weaknesses may be classified according to the pitch of the ping pong ball, the position where the ping pong ball was launched, and the position of the target segment. In addition, strengths and weaknesses may be classified according to the context of the launched table tennis ball. For example, the first user may have a forehand line drive after a forehand cross. On the other hand, the first user may have a backhand cross after a forehand line drive. However, it is not limited thereto.

Meanwhile, the controller 110 may control the light output unit 121 corresponding to a specific segment among the plurality of segments 123 to be turned on or off based on the user's strengths and weaknesses. In other words, the user can compensate for the vulnerability by practicing matching the segment (segment corresponding to the weakness) that he or she cannot fit well with the table tennis ball.

According to some embodiments of the present disclosure, the controller 110 may differently determine the area of the target segment according to the difficulty level. Here, the level of difficulty may include an advanced level, an intermediate level, and a lower level level. For example, when the control unit 110 controls the light output unit 121 based on the elementary light emission pattern, the control unit 110 is a light output unit provided at the outermost side of at least four adjacent segments (for example, a front row or a rear row). It can be controlled so that 121 is turned on. For another example, when the control unit 110 controls the light output unit 121 based on the intermediate light emission pattern, the light output unit 121 provided at the outermost side of at least two adjacent segments is turned on. It can be controlled as much as possible. For another example, when the control unit 110 controls the light output unit 121 based on a light emission pattern with high difficulty, the light output unit ( 121) can be controlled to turn on. Accordingly, a beginner user can perform table tennis training on a wide target segment, and an advanced user can perform table tennis training on a narrow target segment.

According to some additional embodiments of the present disclosure, the control unit 110 may receive personal training data from a user terminal through the communication unit 170. In this case, the control unit 110 may control the light output unit 121 provided at the outermost portion of at least one of the plurality of segments to be turned on based on the personal training data. Here, the personal training data may include light emission pattern data related to light emission patterns emitted from the plurality of light output units 121. In addition, the light emission pattern data included in the personal training data may include a light emission pattern preset by the user. However, it is not limited thereto.

That is, the control unit 110 may provide table tennis training for a segment (corresponding to a preset emission pattern) that the user wants to train.

According to some embodiments of the present disclosure, the measurement unit 122 may detect vibration generated in the target board 120 (S130). In this case, the score calculation unit 111 may calculate a score based on the vibration generated in the target board 120 (S140).

For specific details in which the measurement unit 122 senses the vibration generated from the target board 120 and the score calculation unit 111 calculates a score based on the detected vibration, the detailed information described above with reference to FIGS. 2 and 3 Bar, since the content is redundant, it will be omitted in the description of FIG. 4.

The order of the steps of FIG. 4 may be changed as necessary, and at least one or more steps may be omitted or added. In addition, the above-described steps are only examples of the present disclosure, and the scope of the present disclosure is not limited thereto.

5 is a diagram illustrating an example of a screen displayed on a display unit or a user terminal of a table tennis training apparatus according to some embodiments of the present disclosure.

According to some embodiments of the present disclosure, the display unit 160 of the table tennis training apparatus 100 may display the training result interface 200.

Specifically, the display unit 160 may display training result data on the first area 210 on the training result interface 200. For example, the display unit 160 may display the number of fired table tennis balls, the number of hits to the target segment, the number of misses not hitting the target segment, etc. on the first area 210. Therefore, the user can conveniently check the table tennis practice result.

Also, the display unit 160 may display feedback information on training in the second area 220 on the training result interface 200. For example, the display unit 160 may display an image of a target board in which a segment requiring practice is displayed. Accordingly, the user can intuitively check the area on the table tennis table where the table tennis ball cannot be easily dropped.

However, the training result interface 200 is not limited to the above-described example, and may include training feedback information. For example, the training result interface 200 may include feedback information on concentration maintenance time, information on a miss probability according to the pitch of a table tennis ball, information on a miss probability according to the speed of a table tennis ball, and the like. Here, the concentration maintenance time may be a time taken to increase the probability of a miss.

The illustrated and described training result screen is only an exemplary screen for implementing the embodiments of the present disclosure in the table tennis training apparatus 100, and the scope of the present disclosure is not limited thereto. That is, elements shown in FIG. 5 and displayed on the above-described screens may be omitted, added, or changed according to the needs of a person skilled in the art and/or a user.

6 is a block diagram of an artificial neural network constituting a light emission pattern generation model according to some embodiments of the present disclosure.

In this specification, a neural network, a network function, and a neural network may be used with the same meaning. A neural network can be made up of a set of interconnected computational units that can be generally referred to as “nodes”. These “nodes” may also be referred to as “neurouns”. The neural network includes at least one or more nodes. The nodes (or neurons) that make up neural networks can be interconnected by one or more “links”.

In a neural network, one or more nodes connected through a link may relatively form a relationship between an input node and an output node. The concepts of an input node and an output node are relative, and any node in an output node relationship with respect to one node may have an input node relationship in a relationship with another node, and vice versa. As described above, the input node to output node relationship can be created around the link. One or more output nodes may be connected to one input node through a link, and vice versa.

In the relationship between the input node and the output node connected through one link, the value of the output node may be determined based on data input to the input node. Here, a node interconnecting the input node and the output node may have a weight. The weight may be variable and may be changed by a user or an algorithm in order for a neural network to perform a desired function. For example, when one or more input nodes are interconnected to one output node by respective links, the output node includes values input to input nodes connected to the output node and a link corresponding to each input node. The output node value may be determined based on the weight.

As described above, in a neural network, one or more nodes are interconnected through one or more links to form an input node and an output node relationship in the neural network. The characteristics of the neural network may be determined according to the number of nodes and links in the neural network, the association relationship between the nodes and the links, and a weight value assigned to each of the links. For example, when there are the same number of nodes and links, and two neural networks having different weight values between the links exist, the two neural networks may be recognized as being different from each other.

As shown in FIG. 6, a neural network may include one or more nodes, and may be configured. Some of the nodes constituting the neural network may configure one layer based on the distances from the initial input node. For example, a set of nodes with a distance n from the initial input node, n layers can be configured. The distance from the first input node may be defined by the minimum number of links that must be traversed to reach the node from the first input node. However, the definition of such a layer is arbitrary for explanation, and the order of the layer in the neural network may be defined in a different manner from that described above. For example, the layer of nodes may be defined by the distance from the last output node.

The first input node may mean one or more nodes to which data is directly input without going through a link in a relationship with other nodes among nodes in the neural network. Alternatively, in a relationship between nodes based on a link in a neural network network, it may mean nodes that do not have other input nodes connected by a link. Similarly, the final output node may mean one or more nodes that do not have an output node in a relationship with other nodes among nodes in the neural network. In addition, the hidden node may refer to nodes constituting a neural network other than the first input node and the last output node. The neural network according to the exemplary embodiment of the present disclosure may be a neural network in which the number of nodes of the input layer is greater than the nodes of the hidden layer close to the output layer, and the number of nodes decreases as progressing from the input layer to the hidden layer.

In some embodiments of the present disclosure, the neural network may include a multilayer perceptron (MLP), a recurrent neural network (RNN), a convolutional neural network (CNN), and the like to enable data processing. In addition, in an embodiment of the present disclosure, the neural network of the present disclosure has a long short-term memory (LSTM) to prevent performance degradation due to a long range dependency vanishing gradient that may occur as the length of an event increases. ) Can be included. In addition, in an embodiment of the present disclosure, as an optimization technique of the artificial neural network method, a stochastic gradient descent (SGD), momentum, Adam, AdaGrad, RMSprop, and the like may be used. In addition, if the training data D can be learned only once, parameters that minimize the error function can be obtained through repeated epochs several times, and whether to complete the learning step can be determined after checking whether sufficient optimization has been made. have.

Unlike a general feed-forward neural network, an RNN can have the output of the hidden layer again become the input of the same hidden layer. The RNN is a neural network that has memory capability by considering both the input data currently input and the data received in the past at the same time and having a feedback structure. Therefore, the RNN can be trained to interpret the current data according to the meaning of the previous data in the data. LSTM, one of the RNNs, is also called a long short term memory network and can learn long-term dependence. In an embodiment of the present disclosure, the neural network may include an arbitrary neural network capable of processing data such as a depth gated RNN, a clockwork RNN, as well as an LSTM, which is one of the RNNs. have.

The artificial neural network 300 illustrated in FIG. 6 may include one or more hidden layers. The hidden node of the hidden layer can take the output of the previous layer and the output of the neighboring hidden node as inputs. The number of hidden nodes for each hidden layer may be the same or different. The number of nodes of the input layer may be determined based on the number of data fields of the input data, and may be the same as or different from the number of hidden nodes. Input data input to the input layer may be calculated by a hidden node of the hidden layer and may be output by a fully connected layer (FCL) that is an output layer. For a description of the specific configuration of the RNN among artificial neural networks, US patent applications US15/233083 (filing date: August 10, 2016) and US14/810368 (filing date: July 27, 2015) are incorporated by reference in their entirety in this application. ) In more detail.

7 shows a simplified and general schematic diagram of an exemplary computing environment in which embodiments of the present disclosure may be implemented.

While the present disclosure has generally been described above with respect to computer-executable instructions that can be executed on one or more computers, those skilled in the art will appreciate that the present disclosure may be implemented in combination with other program modules and/or as a combination of hardware and software. will be.

In general, modules herein include routines, procedures, programs, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In addition, to those skilled in the art, the method of the present disclosure is not limited to single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, handheld computing devices, microprocessor-based or programmable household appliances, etc. It will be appreciated that other computer system configurations may be implemented, including one that may operate in connection with one or more associated devices.

The described embodiments of the present disclosure may also be practiced in a distributed computing environment where certain tasks are performed by remote processing devices that are connected through a communication network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Computers typically include a variety of computer-readable media. Computer-readable media can be any computer-readable media, including volatile and nonvolatile media, transitory and non-transitory media, removable and non-transitory media. Includes removable media. By way of example and not limitation, computer-readable media may include computer-readable storage media and computer-readable transmission media.

Computer-readable storage media include volatile and nonvolatile media, temporary and non-transitory media, removable and non-removable media implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules or other data. Includes the medium. Computer-readable storage media include RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disk (DVD) or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage, or other magnetic storage. Devices, or any other medium that can be accessed by a computer and used to store desired information.

Computer-readable transmission media typically implement computer-readable instructions, data structures, program modules or other data on a modulated data signal such as a carrier wave or other transport mechanism. Includes all information delivery media. The term modulated data signal refers to a signal in which one or more of the characteristics of the signal is set or changed so as to encode information in the signal. By way of example and not limitation, computer-readable transmission media include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared, and other wireless media. Combinations of any of the above-described media are also intended to be included within the scope of computer-readable transmission media.

An exemplary environment 1100 is shown that implements various aspects of the present disclosure, including a computer 1102, which includes a processing device 1104, a system memory 1106, and a system bus 1108. do. System bus 1108 couples system components, including but not limited to, system memory 1106 to processing device 1104. The processing unit 1104 may be any of a variety of commercially available processors. Dual processors and other multiprocessor architectures may also be used as processing unit 1104.

The system bus 1108 may be any of several types of bus structures that may be additionally interconnected to a memory bus, a peripheral bus, and a local bus using any of a variety of commercial bus architectures. System memory 1106 includes read-only memory (ROM) 1110 and random access memory (RAM) 1112. The basic input/output system (BIOS) is stored in non-volatile memory 1110 such as ROM, EPROM, EEPROM, etc. This BIOS is a basic input/output system that helps transfer information between components in the computer 1102, such as during startup. Includes routines. RAM 1112 may also include high speed RAM such as static RAM for caching data.

The computer 1102 also includes an internal hard disk drive (HDD) 1114 (e.g., EIDE, SATA)-this internal hard disk drive 1114 can also be configured for external use within a suitable chassis (not shown). Yes--, a magnetic floppy disk drive (FDD) 1116 (for example, to read from or write to a removable diskette 1118), and an optical disk drive 1120 (for example, a CD-ROM). For reading the disk 1122 or for reading from or writing to other high-capacity optical media such as DVD). The hard disk drive 1114, magnetic disk drive 1116, and optical disk drive 1120 are each connected to the system bus 1108 by a hard disk drive interface 1124, a magnetic disk drive interface 1126, and an optical drive interface 1128. ) Can be connected. The interface 1124 for implementing an external drive includes, for example, at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies.

These drives and their associated computer readable media provide non-volatile storage of data, data structures, computer executable instructions, and the like. In the case of computer 1102, drives and media correspond to storing any data in a suitable digital format. Although the description of the computer-readable storage medium above refers to a removable optical medium such as a HDD, a removable magnetic disk, and a CD or DVD, those skilled in the art may include a zip drive, a magnetic cassette, a flash memory card, a cartridge, It will be appreciated that other types of computer-readable storage media, such as etc., may also be used in the exemplary operating environment and that any such media may contain computer executable instructions for performing the methods of the present disclosure .

A number of program modules, including the operating system 1130, one or more application programs 1132, other program modules 1134, and program data 1136, may be stored in the drive and RAM 1112. All or part of the operating system, applications, modules and/or data may also be cached in RAM 1112. It will be appreciated that the present disclosure may be implemented on several commercially available operating systems or combinations of operating systems.

A user may input commands and information to the computer 1102 through one or more wired/wireless input devices, for example, a pointing device such as a keyboard 1138 and a mouse 1140. Other input devices (not shown) may include a microphone, IR remote control, joystick, game pad, stylus pen, touch screen, and the like. These and other input devices are often connected to the processing unit 1104 through the input device interface 1142, which is connected to the system bus 1108, but the parallel port, IEEE 1394 serial port, game port, USB port, IR interface, It can be connected by other interfaces such as etc.

A monitor 1144 or other type of display device is also connected to the system bus 1108 through an interface such as a video adapter 1146. In addition to the monitor 1144, the computer generally includes other peripheral output devices (not shown) such as speakers, printers, and the like.

Computer 1102 may operate in a networked environment using logical connections to one or more remote computers, such as remote computer(s) 1148, via wired and/or wireless communication. The remote computer(s) 1148 may be a workstation, server computer, router, personal computer, portable computer, microprocessor-based entertainment device, peer device, or other common network node, and is generally referred to as computer 1102. Although including many or all of the described components, only memory storage device 1150 is shown for simplicity. The logical connections shown include wired/wireless connections to a local area network (LAN) 1152 and/or to a larger network, eg, a wide area network (WAN) 1154. Such LAN and WAN networking environments are common in offices and companies, and facilitate enterprise-wide computer networks such as intranets, all of which can be connected to worldwide computer networks, for example the Internet.

When used in a LAN networking environment, the computer 1102 is connected to the local network 1152 via a wired and/or wireless communication network interface or adapter 1156. Adapter 1156 may facilitate wired or wireless communication to LAN 1152, which also includes a wireless access point installed therein to communicate with wireless adapter 1156. When used in a WAN networking environment, the computer 1102 may include a modem 1158, connected to a communication server on the WAN 1154, or other Have means. The modem 1158, which may be an internal or external and a wired or wireless device, is connected to the system bus 1108 through a serial port interface 1142. In a networked environment, program modules described for computer 1102 or portions thereof may be stored in remote memory/storage device 1150. It will be appreciated that the network connections shown are exemplary and other means of establishing communication links between computers may be used.

Computer 1102 is associated with any wireless device or entity deployed and operated in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant (PDA), communication satellite, wireless detectable tag. It operates to communicate with any device or place, and a phone. This includes at least Wi-Fi and Bluetooth wireless technologies. Accordingly, the communication may be a predefined structure as in a conventional network or may simply be ad hoc communication between at least two devices.

Wi-Fi (Wireless Fidelity) allows you to connect to the Internet or the like without wires. Wi-Fi is a wireless technology such as a cell phone that allows such devices, for example computers, to transmit and receive data indoors and outdoors, that is, anywhere within the coverage area of a base station. Wi-Fi networks use a wireless technology called IEEE 802.11 (a, b, g, etc.) to provide a secure, reliable and high-speed wireless connection. Wi-Fi can be used to connect computers to each other, to the Internet, and to a wired network (using IEEE 802.3 or Ethernet). Wi-Fi networks can operate in unlicensed 2.4 and 5 GHz radio bands, for example at 11 Mbps (802.11a) or 54 Mbps (802.11b) data rates, or in products that include both bands (dual bands). have.

A person of ordinary skill in the art of the present disclosure includes various exemplary logical blocks, modules, processors, means, circuits and algorithm steps described in connection with the embodiments disclosed herein, electronic hardware, (convenience). For the sake of clarity, it will be appreciated that it may be implemented by various forms of program or design code or a combination of both (referred to herein as "software"). To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the particular application and design constraints imposed on the overall system. A person of ordinary skill in the art of the present disclosure may implement the described functions in various ways for each specific application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The various embodiments presented herein may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques. The term “article of manufacture” includes a computer program, carrier, or media accessible from any computer-readable device. For example, computer-readable storage media include magnetic storage devices (e.g., hard disks, floppy disks, magnetic strips, etc.), optical disks (e.g., CD, DVD, etc.), smart cards, and flash Memory devices (eg, EEPROMs, cards, sticks, key drives, etc.). The term “machine-readable medium” includes, but is not limited to, wireless channels and various other media capable of storing, holding, and/or transmitting instruction(s) and/or data.

It is to be understood that the specific order or hierarchy of steps in the presented processes is an example of exemplary approaches. Based on the design priorities, it is to be understood that within the scope of this disclosure a specific order or hierarchy of steps in processes may be rearranged. The appended method claims provide elements of the various steps in a sample order, but are not meant to be limited to the specific order or hierarchy presented.

A description of the presented embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be apparent to those of ordinary skill in the art, and general principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Thus, the present disclosure is not to be limited to the embodiments presented herein, but is to be construed in the widest scope consistent with the principles and novel features presented herein.

Claims (15)

As a table tennis training device,
A target board including a plurality of segments;
A plurality of light output units provided at the outermost part of each of the plurality of segments;
A measuring unit for sensing vibrations generated in each of the plurality of segments;
A score calculation unit that calculates a score based on the vibration sensed by the measurement unit; And
When the ping pong ball launch unit recognizes that the ping pong ball has been launched, and a preset time has elapsed from the time when the ping pong ball is recognized that the ping pong ball is launched, the light output unit provided at the outermost portion of at least one of the plurality of segments turns A control unit that controls to be turned on;
Containing,
Table tennis training device.
The method of claim 1,
A camera unit that acquires a user's training image; And
A memory for storing first motion data of a professional player;
Including more,
The control unit,
Using the training image, to acquire second motion data of the user,
Generating feedback information based on a result of comparing the first motion data and the second motion data,
Table tennis training device.
The method of claim 2,
A communication unit for transmitting the feedback information to the user terminal of the user; And
A display unit that displays the feedback information;
Further comprising,
Table tennis training device.
The method of claim 1,
A memory for storing training log data of each of a plurality of users; And
A user input unit receiving user identification information;
Further comprising,
Table tennis training device.
The method of claim 4,
The training log data,
Including the score calculated by the score calculation unit,
The control unit,
Recognizing a first user among the plurality of users based on the user identification information input by the user input unit,
Based on the training log data of the first user, controlling the first light output unit provided at the outermost portion of the first segment of the plurality of segments to be turned on,
Table tennis training device.
The method of claim 5,
The control unit,
Priority is given from the segment having the highest number of misses among the plurality of segments, based on the miss history included in the training log data of the first user,
Determining a frequency of turning on each of the plurality of light output units based on the priority given to each of the plurality of segments,
Table tennis training device.
The method of claim 4,
The control unit,
By calculating the training log data of each of the plurality of users using a light emission pattern generation model, light emission pattern data related to light emission patterns emitted from the plurality of light output units are generated,
The memory,
Storing the light emission pattern data,
The light emission pattern data,
Including a light-emitting pattern corresponding to each of a plurality of difficulty and a light-emitting pattern corresponding to each of a plurality of users,
Table tennis training device.
The method of claim 7,
The emission pattern generation model,
It is composed of an artificial neural network,
Characterized in that it is learned through a supervised learning method,
Table tennis training device.
The method of claim 8,
The control unit,
The training data is generated by labeling the training luminescence pattern data on the training training log data corresponding to the input of the training data,
The light emission pattern generation model for outputting light emission pattern data based on training log data of each of the plurality of users by training a light emission pattern generation model including one or more network functions using a training data set including the training data To generate,
Table tennis training device.
The method of claim 1,
The measuring unit,
Transmitting the location information of the segment in which the vibration is detected to the score calculation unit,
The score calculation unit,
Calculating a score based on the location information received from the measurement unit,
Table tennis training device.
The method of claim 10,
The score calculation unit,
When calculating a score based on the location information received from the measurement unit, the light output unit receives the first position information of the turned-on segment from the control unit,
Computing a score by comparing the first location information and the second location information received from the measurement unit,
Table tennis training device.
The method of claim 1,
A display unit that displays the score calculated by the score calculation unit;
Further comprising,
Table tennis training device.
The method of claim 1,
The target board,
It characterized in that it is possible to fold along the outer periphery of one or more segments of the plurality of segments,
Table tennis training device.
The method of claim 1,
A communication unit for receiving personal training data from a user terminal;
Including more,
The control unit,
Controlling to turn on a light output unit provided at an outermost portion of at least one segment of the plurality of segments based on the personal training data,
Table tennis training device.
The method of claim 14,
The personal training data,
Including light emission pattern data related to light emission patterns emitted from the plurality of light output units,
The light emission pattern data,
Including a light emission pattern preset by the user,
Table tennis training device.

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