KR102315018B1 - System for trainning storke of billiards using artificial intelligence - Google Patents

Abstract

The present invention relates to a system for training a user for stroke in billiards by using artificial intelligence (AI), which collects motion tracking data for a cue by using an inertia sensor and compares and analyzes strokes of a user based on AI technology to provide stroke coaching information. As an example of the present invention, the system for training a user for stroke in billiards comprises: a motion tracking unit attached to or detached from a cue to track the stroke motions of the cue and generate motion tracking data; an application unit installed on a portable communication terminal to receive the motion tracking data and transmit the same to the outside and receive stroke data based on the motion tracking data from the outside and the coaching data in accordance with the stroke data and provide the same; and a server for generating the stroke data for the motion tracking data, analyzing the motion tracking data based on a pre-established algorithm to generate the coaching data, and providing the stroke data and the coaching data to the application unit.

Description

Billiards stroke trainer system using artificial intelligence technology {SYSTEM FOR TRAINNING STORKE OF BILLIARDS USING ARTIFICIAL INTELLIGENCE}

An embodiment of the present invention relates to a billiard stroke trainer system using artificial intelligence technology.

The basics of billiards are handling the cue properly. Players must be able to properly handle cues, all of which are Pokéball, Carom and Snooker, in order to control the water polo. Apparatus control is a prerequisite for scoring goals. Therefore, it is not an exaggeration to say that a player's score is determined by how well he or she can handle the cue.

In order not to shake the cue and to hit the exact score, practice stretching the cue straight. However, it is not easy to know how much the cue swings from side to side when the shot is actually taken because the speed at which the cue exits is fast. There is a practice method in which a cylindrical plastic is placed in front of the water polo, a preliminary stroke is made, and then the cue is stretched out as it is to shoot.

Laid-open Patent Publication No. 10-2018-0026213 (published date: March 12, 2018) Registered Patent Publication No. 10-1845743 (Registration Date: March 30, 2018) Registered Patent Publication No. 10-2000028 (Registration Date: July 09, 2019) Laid-open Patent Publication No. 10-2020-0038803 (published date: April 14, 2020)

An embodiment of the present invention uses an artificial intelligence technology that can collect motion tracking data of a cue using an inertial sensor, compare and analyze a user's stroke based on artificial intelligence technology, and provide stroke coaching information based on this. Billiards stroke trainer system.

A billiard stroke trainer system using artificial intelligence technology according to an embodiment of the present invention includes: a motion tracking unit that is attached to and detached from a billiard cue table, tracks the motion by the stroke of the cue table, and generates motion tracking data; an application unit installed in a mobile communication terminal, receiving and transmitting the motion tracking data to the outside, and receiving and providing stroke data based on the motion tracking data from the outside, and coaching data according to the stroke data; and generating the stroke data for the motion tracking data, analyzing the motion tracking data based on a pre-built machine learning algorithm to generate the coaching data, and transferring the generated stroke data and the coaching data to the application unit It includes a server that provides.

In addition, the motion tracking unit, the housing detachably coupled to the rear end of the cue; a 9-axis sensor unit embedded in the housing to generate the motion tracking data; and a short-range wireless communication unit embedded in the housing and connected to the portable communication terminal through short-range wireless communication, and configured to transmit the motion tracking data generated through the 9-axis sensor unit to the portable communication terminal.

In addition, the stroke data includes a finish, a fineness, a straightness, a tip steer, a follow through, a jab stroke, and a backstroke pause. ), a shot interval, smoothness, power, and speed may be included.

In addition, the server unit, a data collection unit for collecting at least one of video data and motion tracking data of a professional player billiards game; A machine that receives at least one of the image data and motion tracking data collected through the data collection unit and performs preprocessing, feature extraction, feature learning, and learning evaluation processes based on a machine learning algorithm to generate an analysis model for the stroke of a professional player learning analysis model generation unit; a stroke data generation unit generating stroke data of a user for the motion tracking data received from the application unit; and a coaching data generator configured to receive the user's stroke data provided through the stroke data generator and compare and analyze it with the stroke data of a professional player through the machine learning analysis model to generate the coaching data.

In addition, the stroke data generator includes a finish, a fineness, a straightness, a tip steer, a follow through, a jab stroke, and a backstroke. Stroke data of at least one of pause), shot interval, smoothness, power, and speed may be generated.

In addition, the application unit receives at least one preset basic stroke mode set from the user, compares reference motion data according to the set basic stroke mode with the motion tracking data received from the motion tracking unit, and adds to the reference motion data. When the motion tracking data that does not match is detected, the user's stroke correction information and the stroke correction notification signal may be output through the portable communication terminal.

In addition, the rear end of the cue rod is inserted into one side of the housing to form a coupling groove for coupling with the cue, and the motion tracking unit is installed on the bottom surface of the coupling groove and the pressure applied by the rear end of the cue rod inserted a pressure sensor unit for measuring When the measured pressure value is greater than the first reference pressure value by comparing the measured pressure value through the pressure sensor unit with a preset first reference pressure value and a second reference pressure value smaller than the first reference pressure value, respectively Turn on the power of the motion tracking unit, generate a departure warning notification signal when the measured pressure value is between the first reference pressure value and the second reference pressure value, and the measured pressure value is the second reference pressure value a power control unit that turns off the power of the motion tracking unit when less than; and a departure warning notification unit configured to receive the departure warning notification signal and notify the departure warning of the housing in at least one of a visual, auditory, and tactile notification method to the outside.

According to the present invention, billiard stroke using artificial intelligence technology that can collect motion tracking data of a cue using an inertial sensor, compare and analyze a user's stroke based on artificial intelligence technology, and provide stroke coaching information based on this A trainer system can be provided.

1 is a schematic diagram showing the overall configuration of a billiard stroke trainer system according to an embodiment of the present invention.
2 is a block diagram showing the configuration of a motion tracking unit according to an embodiment of the present invention.
3 is a diagram illustrating a method of combining a motion tracking unit and a cue band according to an embodiment of the present invention.
4 is a view illustrating the operation of the pressure sensor unit and the power control unit capable of confirming the coupling state for the normal operation of the motion tracking unit according to an embodiment of the present invention.
5 is a diagram illustrating a method of providing stroke data and coaching data to an application unit according to an embodiment of the present invention.
6 is a diagram illustrating a self-coaching function of the application unit according to an embodiment of the present invention.
7 is a block diagram illustrating the configuration of a server unit according to an embodiment of the present invention.

Terms used in this specification will be briefly described, and the present invention will be described in detail.

The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

When a part "includes" a certain element throughout the specification, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, terms such as "...unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software. .

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

1 is a schematic diagram showing the overall configuration of a billiard stroke trainer system according to an embodiment of the present invention, Figure 2 is a block diagram showing the configuration of a motion tracking unit according to an embodiment of the present invention, Figure 3 is an embodiment of the present invention It is a view showing a coupling method of a motion tracking unit and a cue band according to, and FIG. 4 is a view showing the operation of the pressure sensor unit and the power control unit that can confirm the coupling state for the normal operation of the motion tracking unit according to the embodiment of the present invention. 5 is a diagram illustrating a method of providing stroke data and coaching data of the application unit according to an embodiment of the present invention, and FIG. 6 is a diagram illustrating a self-coaching function of the application unit according to an embodiment of the present invention 7 is a block diagram showing the configuration of a server unit according to an embodiment of the present invention.

Referring to FIG. 1 , the billiard stroke trainer system 100 according to an embodiment of the present invention may include at least one of a motion tracking unit 100 , an application unit 200 , and a server unit 300 .

The motion tracking unit 100 is portable and attached to and detached from the billiard cue table 1 , and may generate motion tracking data by tracking a motion by a stroke of the cue table 1 . To this end, the motion tracking unit 100 includes a housing 110 , a 9-axis sensor unit 120 , a short-range wireless communication unit 130 , a pressure sensor unit 140 , a power control unit 150 , and a departure as shown in FIG. 2 . At least one of a warning notification unit 160 and a power supply unit 170 may be included.

The housing 110 may be detachably coupled to the rear end of the cue table 1 . In addition, as shown in FIG. 3 , the rear end of the cue table 1 is inserted into one side of the housing 110 to form a coupling groove 111 for coupling with the cue table 1 , and this coupling groove 111 ) may have a structure corresponding to the end of the cue table 1 . The housing 110 may have a substantially cylindrical shape to facilitate coupling with the Q-tae 1, and may be made of a soft material such as rubber or silicone to reduce weight and prevent damage to internal parts.

The 9-axis sensor unit 120 may be built in the housing 110 to perform motion tracking by the stroke of the cue table 1 to generate motion tracking data accordingly. In the 9-axis sensor unit 120, an acceleration sensor, a gyro sensor, a geomagnetic sensor, etc. are modularized (ex. MPU9250 9-axis sensor, Kalman filter applied), so that various movements of the cue table 10 can be precisely measured.

The short-range wireless communication unit 130 is embedded in the housing 110 and connected to the portable communication terminal 10 through short-range wireless communication, and transmits motion tracking data generated through the 9-axis sensor unit 120 to the portable communication terminal ( 10) can be sent. It is most preferable to apply Bluetooth HC-06 for short-distance wireless communication, but various wireless communication functions such as Wi-Fi, NFC, and RF can also be applied.

On the other hand, the mobile communication terminal 10, a smart phone (smart phone), a notebook computer (laptop computer), a tablet PC, an e-book terminal, a digital broadcasting terminal, PDA (Personal Digital Assistants), PMP (Portable Multimedia Player), MP3 It may be a player, a digital camera, or a navigation device, but is not limited thereto.

Also, a communication process may be processed between the mobile communication terminal 10 and the server unit 300 through an Internet network. Here, an example of the wired communication network of the Internet network may be a closed network such as a local area network (LAN) or a wide area network (WAN), and preferably an open network such as the Internet. The Internet is a TCP/IP protocol and several services existing in its upper layers, namely HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP ( It refers to a worldwide open computer network structure that provides Simple Network Management Protocol), NFS (Network File Service), and NIS (Network Information Service). In addition, as an example of a wireless communication network, technical standards or communication methods for mobile communication (eg, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (EV-DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), LTE- It may include a mobile communication network constructed according to A (Long Term Evolution-Advanced), etc.), but is not particularly limited. The pressure sensor unit 140 may measure the pressure applied by the rear end of the cue table 1 installed and inserted on the bottom surface of the coupling groove 111 . At this time, the measured pressure value (hereinafter referred to as the measured pressure value) may be transmitted to the power control unit 150 and used for power control of the motion tracking unit 100 and notification of the coupling state of the housing 110 .

The power control unit 150 may control the power of the motion tracking unit 100 according to the measured pressure value received from the pressure sensor unit 140 , and determine whether the housing 110 is well coupled to the cue table 1 . It is possible to provide a signal to the user to determine the coupling state for the corresponding action to be taken. More specifically, as shown in FIG. 4 , the power control unit 150 compares the measured pressure value A received from the pressure sensor unit 140 with a preset first reference pressure value (S1), and measures When the pressure value (A) is greater than the first reference pressure value (Y), the power of the motion tracking unit 100 may be turned on. In addition, when the measured pressure value (A) is not greater than the first reference pressure value (N), compared with the second reference pressure value (less than the first reference pressure value), it is greater than the second reference pressure value (Y) the housing It is not firmly coupled to the cue stand 1 of 110 and is regarded as a state in which there is a possibility of occurrence of departure, and a departure warning notification signal may be generated and transmitted to the departure warning notification unit 160 . In addition, if the measured pressure value (A) is not greater than the second reference pressure value (N), the motion tracking unit 100 is in a state in which the motion tracking cannot be normally made or the motion tracking unit 100 is separated from the cue table 1 by the user. In this case, the power is turned off (S5) so that it cannot be used.

The departure warning notification unit 160 receives a departure warning notification signal from the power control unit 150 and uses at least one method of visual, auditory and tactile notification to the outside of the housing 110 (or motion tracking unit ( 100) of itself) can notify the departure warning. The departure warning notification method includes a method that flashes through an LED lamp, a method that outputs a notification sound through a speaker or a buzzer, and a method that vibrates in a predetermined pattern using a vibration element, etc. can be applied.

The power supply unit 170 may include a rechargeable secondary battery module (ex. lithium ion battery) as a means for supplying power to the motion tracking unit 100, and for charging and discharging power such as a charging terminal and a charging/discharging circuit. It can contain all components.

The motion tracking unit 100 may be configured by applying a material including aluminum and magnesium alloy as a material for electronic components or modularization for weight reduction, durability enhancement, and miniaturization.

The application unit 200 is installed in the mobile communication terminal 10 as shown in FIG. 5, receives motion tracking data from the motion tracking unit 100 and transmits it to the server unit 300, and the server unit ( 300) may receive and provide stroke data based on motion tracking data and coaching data based on the corresponding stroke data. For example, a user level, time series data of the user level, a user stroke level table, and a level graph of the angle/length/direction/force of the stroke may be generated, but the present invention is not limited thereto. Accordingly, the user can check in real time coaching information on various practice results, such as his or her stroke posture level, and coaching information on items to be improved during stroke, and can quickly determine the weak part to increase the amount of practice for the weak part. Stroke data according to the present embodiment is, Finish, Fineness, Strength, Tip steer, Follow through, Jab stroke, Back stroke fuzz (Straightness) Backstroke pause), a shot interval, smoothness, power, and speed may be included. More specifically, the stroke method includes Follow Through (Long), Short Follow Through, Jab Follow Through, and Jab Stroke, and the stroke type is Standard (Classic) Pendulum Stroke, Pendulum Stroke, Piston Stroke, Palm Slap Stroke, Tap Stroke. , Poke Stroke, Slip Stroke, Stroke Slip, Aim-and-Pivot, Aim-and-Swoop, side arm stroke, high arm stroke, etc., but are not limited thereto. The stroke method and the stroke type are obvious to those skilled in the art to which the present invention pertains, and a detailed description thereof will be omitted below because it may obscure the gist of the present invention.

The application unit 200, with respect to the stroke practice mode setting, beginner mode (stroke 1, 2, 3, 4??), intermediate mode (stroke 1, 2, 3, 4??), advanced mode (stroke 1, 2, 3, 4??) and custom modes (stroke 1, 2, 3, 4??) are configurable by the user, and stroke practice modes such as beginner mode, intermediate mode, advanced mode and custom mode It is a combination of values such as finish, finesse, straightness, tip steer, follow through, jab, backstroke pause, shot interval, and the like, and the user should use the stroke as closely as possible to the combined value. It is impossible to connect to the unit 300 , or the self-coaching function can be selectively performed by itself without a request for information from the server unit 300 . For example, as shown in FIG. 6 , at least one preset basic stroke mode may be set by the user first, and as the setting mode, a light stroke (basic stroke mode 1), a hard stroke (basic stroke mode 2) may be set. There are , dragging (basic stroke mode 3), and pushing (basic stroke mode 4), and the most basic way to practice strokes can be included. When any one of these basic stroke modes is set, reference motion data according to the set basic stroke mode may be compared with motion tracking data received from the motion tracking unit 100 . At this time, the compared motion tracking data may be almost the same as the data type processed by the server unit 300 , but since it is a configuration for learning the basic stroke, the motion data for the main stroke is stored as a reference value, and this reference motion The data can be compared with the measured motion data, and when motion tracking data that does not fit the reference motion data is detected, the pre-stored calibration data is called for which part requires any correction and provided as the user's stroke correction information, At this time, the stroke correction notification signal is notified through a notification sound or vibration of the mobile communication terminal 10, and the corresponding information is output so that the user can check it immediately.

The server unit 300 generates stroke data for the motion tracking data received from the application unit 200, and generates coaching data by analyzing the stroke data based on a pre-established machine learning algorithm, and each generated Stroke data and coaching data may be provided to the application unit 200 . To this end, as shown in FIG. 7 , the server unit 300 includes a data collection unit 310 , a machine learning analysis model generation unit 320 , a stroke data generation unit 330 , a coaching data generation unit 340 , and a database. It may include at least one of the unit 350 and the server communication unit 360 .

The data collection unit 310 may collect at least one of video data and motion tracking data of a professional player billiards game. This data collection unit 310 collects the learning data of the machine learning analysis model for providing coaching data, and the image data among these learning data is an image, a photo, or a video file taken directly through media such as TV, SNS, etc. etc. can be used, and the motion tracking data can be used by applying the data obtained from the motion tracking unit 100 according to this embodiment, and there are numerous image data and motion tracking data for various professional players in various countries. It can be built as big data as it is collected.

The machine learning analysis model generation unit 320 receives the image data and motion tracking data collected through the data collection unit 310 and performs machine learning algorithm-based preprocessing, feature extraction, feature learning and learning evaluation process. You can create a machine learning analysis model for the strokes of professional players.

The stroke data generation unit 330 may generate the user's stroke data for the motion tracking data received from the application unit 200 . For example, stroke data of at least one of angle, length, direction, speed, and force may be detected according to predetermined stroke reference information from motion tracking data measured through the 9-axis sensor unit 120 . More specifically, stroke data according to the present embodiment are, Finish, Fineness, Strength, Tip steer, Follow through, Jab stroke. , backstroke pause, shot interval, smoothness, power, and speed may be included. More specifically, the stroke method includes Follow Through (Long), Short Follow Through, Jab Follow Through, and Jab Stroke, and the stroke type is Standard (Classic) Pendulum Stroke, Pendulum Stroke, Piston Stroke, Palm Slap Stroke, Tap Stroke. , Poke Stroke, Slip Stroke, Stroke Slip, Aim-and-Pivot, Aim-and-Swoop, side arm stroke, high arm stroke, etc., but are not limited thereto. The stroke method and the stroke type are obvious to those skilled in the art to which the present invention pertains, and a detailed description thereof will be omitted below because it may obscure the gist of the present invention.

On the other hand, the server unit 200 provides stroke data and coaching data according to the stroke practice mode set in the application unit 200, and as described above, beginner mode (stroke 1, 2, 3, 4??), intermediate mode (Stroke 1, 2, 3, 4??), advanced mode (stroke 1, 2, 3, 4??), custom mode (stroke 1, 2, 3, 4??) according to the stroke data and coaching data It can operate to provide. The coaching data generating unit 340 receives the user's stroke data provided through the stroke data generating unit 330 and compares and analyzes it with the professional player's stroke data through a machine learning analysis model to determine which part of the stroke is It can generate coaching data about what needs to be changed or trained.

The database unit 350 stores various information, data, programs, etc. necessary for the operation of the server unit 300 such as a program for the machine learning analysis model, learning data, coaching data, etc. can be managed accordingly.

The server communication unit 360 may form an Internet network with the portable communication terminal 10 to process a communication process. Here, an example of the wired communication network of the Internet network may be a closed network such as a local area network (LAN) or a wide area network (WAN), and preferably an open network such as the Internet. The Internet is a TCP/IP protocol and several services existing in its upper layers, namely HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP ( It refers to a worldwide open computer network structure that provides Simple Network Management Protocol), NFS (Network File Service), and NIS (Network Information Service). In addition, as an example of a wireless communication network, technical standards or communication methods for mobile communication (eg, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (EV-DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), LTE- It may include a mobile communication network constructed according to A (Long Term Evolution-Advanced), etc.), but is not particularly limited. The server unit 300 has the same configuration as a typical server in terms of hardware, and is implemented through various types of languages such as C, C++, Java, Visual Basic, Visual C in software to perform various functions. It may contain program modules. In addition, it can be implemented using web server programs that are provided in various ways according to operating systems such as DOS, Windows, Linux, Unix, and Macintosh on general server hardware. have.

What has been described above is only one embodiment for implementing the billiard stroke trainer system using the artificial intelligence technology according to the present invention, and the present invention is not limited to the above embodiment, but as claimed in the claims below. Without departing from the gist of the present invention, it will be said that the technical spirit of the present invention exists to the extent that various modifications can be made by anyone with ordinary knowledge in the field to which the invention pertains.

1000: Smart Billiard Stroke Trainer System
100: motion tracking unit
110: housing
111: coupling groove
120: 9-axis sensor unit
130: short-range wireless communication unit
140: pressure sensor unit
150: power control
160: departure warning notification unit
170: power unit
200: application unit
300: server unit
310: data collection unit
320: machine learning analysis model generation unit
330: stroke data generation unit
340: coaching data generation unit
350: database unit
360: server communication unit
1: cue
10: mobile communication terminal

Claims (5)

a motion tracking unit attached to and detached from the billiard cue table and generating motion tracking data by tracking the motion caused by the stroke of the cue table;
an application unit installed in a mobile communication terminal, receiving and transmitting the motion tracking data to the outside, and receiving and providing stroke data based on the motion tracking data from the outside, and coaching data according to the stroke data; and
Generates the stroke data for the motion tracking data, analyzes the motion tracking data based on a pre-built machine learning algorithm to generate the coaching data, and provides the generated stroke data and the coaching data to the application unit including a server unit that
In one side of the housing, the rear end of the cue rod is inserted to form a coupling groove for coupling with the cue table,
The motion tracking unit,
a pressure sensor unit installed on the bottom surface of the coupling groove and configured to measure the pressure applied by the rear end of the cue stand; and
When the measured pressure value is greater than the first reference pressure value by comparing the measured pressure value through the pressure sensor unit with a preset first reference pressure value and a second reference pressure value smaller than the first reference pressure value, respectively Turn on the power of the motion tracking unit, generate a departure warning notification signal when the measured pressure value is between the first reference pressure value and the second reference pressure value, and the measured pressure value is the second reference pressure value Billiard stroke trainer system using artificial intelligence technology, characterized in that it comprises a power control unit to turn off the power of the motion tracking unit when smaller.
According to claim 1,
The motion tracking unit,
a housing detachably coupled to the rear end of the cue stand;
a 9-axis sensor unit embedded in the housing to generate the motion tracking data; and
Built in the housing and connected to the mobile communication terminal through short-range wireless communication, artificial intelligence technology characterized in that it comprises a short-range wireless communication unit for transmitting the motion tracking data generated through the 9-axis sensor unit to the portable communication terminal Billiard stroke trainer system using
According to claim 1,
The stroke data is
Finish, Fineness, Straightness, Tip steer, Follow through, Jab stroke, Backstroke pause, Shot interval ), smoothness (Smoothness), power (Power), and billiard stroke trainer system using artificial intelligence technology, characterized in that it comprises at least one of speed (Speed).
According to claim 1,
The server unit,
a data collection unit that collects at least one of video data and motion tracking data of a professional player billiards game;
A machine that receives at least one of the image data and motion tracking data collected through the data collection unit and performs preprocessing, feature extraction, feature learning, and learning evaluation processes based on a machine learning algorithm to generate an analysis model for the stroke of a professional player learning analysis model generation unit;
a stroke data generation unit generating stroke data of a user for the motion tracking data received from the application unit; and
Artificial intelligence technology comprising a coaching data generator that receives the user's stroke data provided through the stroke data generator and compares and analyzes it with the stroke data of a professional player through the machine learning analysis model to generate the coaching data Billiard stroke trainer system using
5. The method of claim 4,
The stroke data generation unit,
Finish, Fineness, Straightness, Tip steer, Follow through, Jab stroke, Backstroke pause, Shot interval ), a billiard stroke trainer system using artificial intelligence technology, characterized in that it generates at least one stroke data of smoothness, power, and speed.

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