KR20230102022A - system and control method for acquiring and analyzing swing data by classifying golf swing stages through the use of MEMS sensors - Google Patents

Abstract

An aspect of the present invention, a terminal or server; and a device for establishing a network with the terminal or server and collecting data for golf swing analysis, wherein the device includes a plurality of MEMS (Micro Electro-Mechanical Systems) mounted on at least a part of a golf club. sensor unit; at least one pressure sensor unit disposed on a grip portion of the golf club; and a communication unit that transmits at least some of the data collected by the plurality of MEMS sensor units and the pressure sensor unit to the outside through the established communication network. The plurality of MEMS sensor units collect 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist, and the pressure sensor unit collects pressure change data of the golf club grip portion. And, through the communication unit, the terminal or server that receives the data collected by the device divides the golf swing stage into 8 stages, and the 3-axis acceleration change data of the golf club shaft, the golf club head, and the wrist and 3 Using the axial angular velocity change data and the pressure change data, different golf swing analysis data for each of the eight steps may be derived.

Description

System and control method for acquiring and analyzing swing data by classifying golf swing stages through the use of MEMS sensors}

The present invention relates to a system and control method for acquiring and analyzing swing data by dividing golf swing stages through the use of a MEMS sensor. Specifically, the present invention collects swing data using a MEMS sensor, classifies 8 stages of a golf swing by time-series data spectrum analysis, classifies data for each segment according to the 8 stages, and learns a model for each segment through machine learning. It relates to a system and method for constructing and then utilizing it for golf swing quality.

It focuses on developing new technologies by grafting IT on the traditional health industry, and products and services grafted with IT are being created in various fields, from pre-health management to exercise assistance and disease management.

Countries around the world are fostering the healthcare business as a core business, and in particular, as the convergence of medical care + ICT has emerged as a solution, major countries are actively promoting support policies at the government level.

In addition, venture investment in the healthcare sector in the United States recorded the highest since 2008, and according to PwC, investment in the life science sector last year totaled $8.6 billion, or 789 cases, and healthcare investment accounted for 18% of the total venture investment.

According to McKinsey, China's medical insurance is expected to reach a total of $100 trillion by 2020, and China is rapidly emerging as the world's largest healthcare market.

On the other hand, interest in golf exercise equipment that users can use personally among these health care products is also attracting attention along with the growth of the market.

However, there is a problem in that it is difficult for users who personally exercise using the golf exercise equipment to know how much exercise is required to optimize the exercise for their body.

That is, since it is difficult for the user to usually know about the range of motion (ROM) of the user's body, there is a problem in that it is difficult to easily know how much exercise or what type of exercise is suitable for the user.

In addition, the user has to adjust the next exercise program or perform additional exercise to suit the long-term exercise goal while storing and comparing and analyzing the daily exercise results. There was also the problem of not having it.

Therefore, the need for a smart golf exercise device, system, and control method capable of solving these problems is emerging.

Korean Intellectual Property Office Registration No. 10-0927473 Korean Intellectual Property Office Registration No. 10-0979198

The present invention intends to propose a system and control method for acquiring and analyzing swing data by classifying golf swing stages through the use of MEMS sensors.

Specifically, the present invention collects swing data using a MEMS sensor, classifies 8 stages of a golf swing by time-series data spectrum analysis, classifies data for each segment according to the 8 stages, and learns a model for each segment through machine learning. After constructing the system and method used for golf swing quality, I would like to propose.

The purpose of the present invention is to expand the safe and accurate bio-signal measurement technology applied to medical devices to exercise equipment for practice in the golf equipment market and to provide a new product that combines ICT technology to activate digital health care and leisure and recreation knowledge services. .

The core of this proposed technology is to develop a sensor that can quantitatively measure the change in grip strength in the grip and cocking angle of the wrist, which are known to be important factors in the golf swing, in real time, and use a 9-axis gyro, acceleration, and geomagnetic sensor to measure the club head. To develop an ICT-based golf exercise device capable of remote diagnosis and teaching by calculating and linking the information of the swing analysis of the part in real time, enabling step-by-step quantitative exercise goals and repetitive exercises based on the biometric information of the hand measured during swing. There is a purpose.

According to the present invention, physical sensors such as a gyro sensor, an acceleration sensor, a pressure sensor, and a rotation angle sensor are interlocked to measure more accurate and necessary information and use it for analysis and correction training.

In addition, the proposed technology is an ICT-based golf exercise device capable of collecting and analyzing biometric information such as wrist angle, grip strength, and electromyography that change during a golf player's swing and information along the swing trajectory, and performing repetitive corrective training. From amateurs to professional players, where performance improvement and sports injury prevention are important, we want to manage data while using it easily.

In addition, the present invention Although it is possible to calculate the angle change with the MEMS sensor's accelerometer data or gyro data alone, it is impossible to calculate an accurate angle in a relative motion state without a reference point. want to calculate

On the other hand, the technical problems to be achieved in the present invention are not limited to the above-mentioned technical problems, and other technical problems that are not mentioned will become clear to those skilled in the art from the description below. You will be able to understand.

An aspect of the present invention for achieving the above technical problem is a terminal or server; and a device for establishing a network with the terminal or server and collecting data for golf swing analysis, wherein the device includes a plurality of MEMS (Micro Electro-Mechanical Systems) mounted on at least a part of a golf club. sensor unit; at least one pressure sensor unit disposed on a grip portion of the golf club; and a communication unit that transmits at least some of the data collected by the plurality of MEMS sensor units and the pressure sensor unit to the outside through the established communication network. The plurality of MEMS sensor units collect 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist, and the pressure sensor unit collects pressure change data of the golf club grip portion. And, through the communication unit, the terminal or server that receives the data collected by the device divides the golf swing stage into 8 stages, and the 3-axis acceleration change data of the golf club shaft, the golf club head, and the wrist and 3 Using the axial angular velocity change data and the pressure change data, different golf swing analysis data for each of the eight steps may be derived.

In addition, the eight steps of the golf swing include an address step (step 1) in which the user sets up; a take away step in which the user moves the golf club (step 2); a half swing step (step 3) of positioning the golf club at a position corresponding to half of the total length of the golf club by the user; a top swing step (step 4) in which the user positions the golf club at the largest position among the total lengths; The process of the user lowering the golf club includes a down swing step (step 4); An impact step (step 5) in which the golf club and the ball contact each other; A release step (step 6), which is a process in which the user reduces the force on the golf club after contact with the ball; and a finish step (step 7) of finishing the golf swing.

In addition, in step 1, grip pressure information and shaft angle information are derived, in step 2, the grip pressure information and wrist angle change information are derived, and in step 3, the grip pressure information and cocking angle change information are derived. In the step 4, the grip pressure information and the shaft angle information are derived, in the step 5, the conversion shaft plane angle information and the swing-related trajectory angle information are derived, and in the step 6, the grip pressure information and the golf club Head speed change information, approach angle information, and face angle information are derived. In step 7, the grip pressure information, wrist angle change information, and shaft angle information are derived. In step 8, the grip pressure information and the wrist angle information are derived. Angle change information may be derived.

In addition, the shaft angle change, the wrist angle change, and the head angle in the course of the golf swing using at least one of three-axis acceleration change data, three-axis angular velocity change data, and pressure change data of the golf club shaft, the golf club head, and the wrist. At least one of change, head speed change, and grip pressure change may be derived.

In addition, the terminal or server uses at least one of a shaft angle change, a wrist angle change, a head angle change, a head speed change, and a grip pressure change during the golf swing process to change a swing trajectory in the golf swing process, At least one of a maximum speed when swinging, a head angle at the time of impact where the golf club and the ball contact each other, and a swing time may be derived.

In addition, the terminal or server determines the head position error during impact and the head angle error during impact using at least one of a swing trajectory change during the golf swing, a maximum speed during swing, a head angle during impact, and a swing time. , At least one of spin information and launch angle (trajectory angle) information according to the head angle at the time of impact may be derived.

In addition, the terminal or server may include the derived swing trajectory change, maximum speed during swing, head angle and swing time at impact, head position error at impact, head angle error at impact, and spin according to the head angle at impact. Correction information for the swing correction may be generated based on at least one of information and launch angle (trajectory angle) information.

Also, the plurality of MEMS sensor units may include a gyro sensor, an acceleration sensor, and a geomagnetic sensor.

On the other hand, another aspect of the present invention for achieving the above technical problem is a terminal or server; and a plurality of MEMS (Micro Electro-Mechanical Systems) sensor units mounted on at least a part of a golf club to establish a network with the terminal or server and collect data for golf swing analysis, and at least one disposed on a grip portion of the golf club. In the golf swing correction method using the apparatus including a pressure sensor unit and a communication unit for transmitting at least some of the data collected by the plurality of MEMS sensor units and the pressure sensor unit to the outside through the established communication network, the plurality of A first step of collecting 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist by the MEMS sensor unit, and collecting pressure change data of the golf club grip portion by the pressure sensor unit; a second step of receiving, by the terminal or server, the data collected by the device through the communication unit; and the terminal or server divides the golf swing into 8 steps, and uses 3-axis acceleration change data, 3-axis angular velocity change data and pressure change data of the golf club shaft, the golf club head, and the wrist, and a third step of deriving different golf swing analysis data for each golf swing. In the third step, the 8 steps of the golf swing include an address step (step 1) in which the user sets up; a take away step in which the user moves the golf club (step 2); a half swing step (step 3) of positioning the golf club at a position corresponding to half of the total length of the golf club by the user; a top swing step (step 4) in which the user positions the golf club at the largest position among the total lengths; The process of the user lowering the golf club includes a down swing step (step 5); An impact step (step 6) in which the golf club and the ball contact each other; A release step (step 7), which is a process in which the user reduces the force on the golf club after contact with the ball; and a finish step (step 8) of finishing the golf swing, wherein grip pressure information and shaft angle information are derived in step 1, and grip pressure information and wrist angle change information are derived in step 2, In step 3, the grip pressure information and cocking angle change information are derived, in step 4, the grip pressure information and the shaft angle information are derived, and in step 5, the conversion shaft plane angle information and the swing-related trajectory angle information are derived. is derived, and in step 6, the grip pressure information, head speed change information, approach angle information, and face angle information of the golf club are derived, and in step 7, the grip pressure information, the wrist angle change information, and the shaft angle Information is derived, and in step 8, the grip pressure information and the wrist angle change information may be derived.

The present invention can provide a smart golf exercise device, system, and control method to a user.

The present invention can provide a system and control method for obtaining and analyzing swing data by classifying stages of a golf swing through the use of a MEMS sensor.

Specifically, the present invention collects swing data using a MEMS sensor, classifies 8 stages of a golf swing by time-series data spectrum analysis, classifies data for each segment according to the 8 stages, and learns a model for each segment through machine learning. After constructing, it is possible to provide a system and method used for golf swing quality.

In addition, the present invention Although it is possible to calculate the angle change with the MEMS sensor's accelerometer data or gyro data alone, it is impossible to calculate an accurate angle in a relative motion state without a reference point. can be calculated

The core of this proposed technology is to develop a sensor that can quantitatively measure the change in grip strength in the grip and cocking angle of the wrist, which are known to be important factors in the golf swing, in real time, and use a 9-axis gyro, acceleration, and geomagnetic sensor to measure the club head. It is possible to provide an ICT-based golf exercise device capable of remote diagnosis and teaching by calculating and linking the information of the swing analysis of the part in real time, and enabling quantitative exercise goals and repeated exercises for each step based on the biometric information of the hand measured during swing. can

According to the present invention, it is possible to measure more accurate and necessary information by interlocking physical sensors such as a gyro sensor, an acceleration sensor, a pressure sensor, and a rotation angle sensor, and use it for analysis and correction training.

In addition, the proposed technology is an ICT-based golf exercise device capable of collecting and analyzing biometric information such as wrist angle, grip strength, and electromyography that change during a golf player's swing and information along the swing trajectory, and performing repetitive corrective training. From amateurs to professional players, where performance improvement and sports damage prevention are important, data management can be possible while using it easily.

On the other hand, the effects obtainable in the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

Figure 1 shows a block configuration diagram of a smart exercise device proposed by the present invention.
2 is a flowchart illustrating an exercise method through a smart exercise device, a terminal, and a server proposed by the present invention.
3 is a flowchart illustrating a process of installing an application in a terminal and registering a user according to the present invention.
4 is a flowchart illustrating a process of setting a user's exercise target value through a smart device according to the present invention.
5 is a flowchart illustrating a process in which a user exercises through a smart device according to the present invention.
6 is a flowchart illustrating a process of feeding back results of an exercise to a user through a terminal according to the present invention.
7 is a flowchart illustrating a method of exercising through the smart exercise device, terminal, and server described in FIGS. 2 to 6 .
8 illustrates an example of application of the measurement data collection algorithm during golf swing using experts according to the present invention.
9 shows an example of a swing sensor and biometric information measurement module system according to the present invention.
10 shows an example of a concept and expected image of a smart golf exercise device according to the present invention.
11 illustrates an example of sensing hand biometric information according to the present invention.
12 shows an example of swing analysis sensing according to the present invention.
13 illustrates an example of a sensor data interworking processing and a wireless communication unit in relation to the present invention.
14 illustrates an example of ICT-based data management and remote calibration training in relation to the present invention.
15 illustrates an example of contents for an ICT platform and a user according to the present invention.
16 illustrates an example of application of expert and exercise center visiting exercise and remote advice in relation to the present invention.
17 shows data values of the main shaft and the head acceleration sensor during swing.
18 illustrates acceleration sensor data and gyro sensor data of the main shaft during swing, and angle data using the same.
19 shows main shaft angle, head angle, and wrist angle data during swing.
20 shows an example of a conceptual diagram of a mechanism proposed by the present invention, and FIG. 21 shows an example of an actual mechanism.
22 shows the 8 stages of a golf swing and key data for each stage.
23 illustrates accelerometer data, rotation amount data, and calculated angle data acquired by the MEMS sensor.
24a to 24c illustrate an example of classifying 8 stages of a golf swing according to data.

Problems with the prior art

Referring to the conventional exercise equipment, through Bluetooth communication, the exercise record is transmitted to the terminal, the dumbbell weight can be adjusted, and the function of maximizing the exercise by recognizing the exercise state to the user by sending an appropriate signal when the exercise is abnormal Provided.

Referring to other conventional exercise equipment, a function of measuring and feeding back data through an acceleration sensor is provided as a combined balance and weight exercise equipment.

Referring to another conventional exercise device, there is an advantage in that running, jumping rope, and hulaup exercise modes are provided, and information such as time, number of times, and calorie consumption can be checked in conjunction with an application.

However, these conventional devices have a problem in that it is difficult to know how much exercise is optimal for the user's body from the point of view of the user who exercises using the exercise device personally.

That is, since it is difficult for the user to usually know about the range of motion (ROM) of the user's body, there is a problem in that it is difficult to easily know how much exercise or what type of exercise is suitable for the user.

In addition, the user has to adjust the next exercise program or perform additional exercise to suit the long-term exercise goal while storing and comparing and analyzing the daily exercise results. There was also the problem of not having it.

smart exercise device

Therefore, the present invention intends to provide users with a smart exercise device, system, and control method that solves these problems.

Prior to describing specific features of the present invention, components applied to the present invention will be described in detail.

The system according to the present invention may include a smart exercise device 100, a user terminal 200, a server 300, and the like.

The smart exercise device 100, the user terminal 200, and the server 300 may configure a network and exchange data through short-range or long-distance communication with each other.

Here, short-range communication may include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Wireless Fidelity (Wi-Fi) technologies.

In addition, long-distance communication is CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), SC-FDMA (single carrier frequency division multiple access) technology can include

Figure 1 shows a block configuration diagram of a smart exercise device proposed by the present invention.

Referring to FIG. 1, the smart exercise device 100 includes a wireless communication unit 110, an audio/video (A/V) input unit 120, a user input unit 130, a sensing unit 140, an output unit 150, A memory 160, an interface unit 170, a control unit 180, and a power supply unit 190 may be included.

However, since the components shown in FIG. 1 are not essential, a smart exercise device having more or fewer components may be implemented.

Hereinafter, the above components are examined in turn.

The wireless communication unit 110 may include one or more modules enabling wireless communication between the smart exercise device and the wireless communication system or between the device and the network where the device is located.

For example, the wireless communication unit 110 may include a mobile communication module 112, a wireless internet module 113, a short-distance communication module 114, and a location information module 115.

The mobile communication module 112 transmits and receives a radio signal with at least one of a base station, an external device, and a server on a mobile communication network.

It may include various types of data according to text/multimedia message transmission and reception.

The wireless Internet module 113 refers to a module for wireless Internet access, and may be built into or external to a smart exercise device. Wireless Internet technologies include wireless LAN (WLAN) (Wi-Fi), wireless broadband (Wibro), world interoperability for microwave access (Wimax), high speed downlink packet access (HSDPA), and the like.

The short-distance communication module 114 refers to a module for short-distance communication. Short range communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Wireless Fidelity (Wi-Fi). can be used

The location information module 115 is a module for acquiring the location of a smart exercise device, and a representative example thereof is a Global Position System (GPS) module.

Referring to FIG. 1 , an audio/video (A/V) input unit 120 is for inputting an audio signal or a video signal, and may include a camera 121 and a microphone 122. The camera 121 processes an image frame such as a still image or a moving image obtained by an image sensor in a photographing mode. The processed image frame may be displayed on the display unit 151 .

An image frame processed by the camera 121 may be stored in the memory 160 or transmitted to the outside through the wireless communication unit 110 . Two or more cameras 121 may be provided according to the use environment.

The microphone 122 receives external sound signals through a microphone in a recording mode, a voice recognition mode, and the like, and processes them into electrical voice data. The processed voice data may be converted into a form transmittable to a mobile communication base station through the mobile communication module 112 and then output. Various noise cancellation algorithms for removing noise generated in the process of receiving an external sound signal may be implemented in the microphone 122 .

The user input unit 130 generates input data for the user to control the operation of the smart exercise device. The user input unit 130 may include a key pad, a dome switch, a touch pad (static pressure/capacity), a jog wheel, a jog switch, and the like.

The sensing unit 140 detects the current state of the smart exercise device, such as the opening/closing state of the smart exercise device, the location of the smart exercise device, the presence or absence of user contact, the direction of the smart exercise device, and the acceleration/deceleration of the smart exercise device. Generates a sensing signal to control the operation of.

The sensing unit 140 may sense whether or not the power supply unit 190 is supplying power and whether or not the interface unit 170 is connected to an external device.

Meanwhile, the sensing unit 140 may include a proximity sensor 141 .

The output unit 150 is for generating an output related to sight, hearing or touch, and includes a display unit 151, a sound output module 152, an alarm unit 153, a haptic module 154, and a projector module ( 155), etc. may be included.

The display unit 151 displays (outputs) information processed by the smart exercise device.

The display unit 151 may include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. display) and a 3D display.

Some of these displays may be of a transparent type or a light transmission type so that the outside can be seen through them. This may be referred to as a transparent display, and a representative example of the transparent display is TOLED (Transparent OLED) and the like. A rear structure of the display unit 151 may also be configured as a light transmissive structure. With this structure, the user can see an object located behind the body of the smart exercise device through the area occupied by the display unit 151 of the body of the smart exercise device.

Depending on the implementation form of the smart exercise device, two or more display units 151 may exist. For example, in a smart exercise device, a plurality of display units may be spaced apart or integrally disposed on one surface, or may be respectively disposed on different surfaces.

When the display unit 151 and a sensor for detecting a touch operation (hereinafter referred to as a 'touch sensor') form a mutual layer structure (hereinafter referred to as a 'touch screen'), the display unit 151 may be used in addition to an output device. It can also be used as an input device. The touch sensor may have a form of, for example, a touch film, a touch sheet, or a touch pad.

The touch sensor may be configured to convert a pressure applied to a specific area of the display unit 151 or a change in capacitance generated in a specific area of the display unit 151 into an electrical input signal. The touch sensor may be configured to detect not only the touched position and area, but also the pressure upon touch.

When there is a touch input to the touch sensor, the corresponding signal(s) are sent to the touch controller. The touch controller processes the signal(s) and then transmits corresponding data to the controller 180. Thus, the controller 180 can know which area of the display unit 151 has been touched.

The proximity sensor (not shown) may be disposed in an inner area of the smart exercise device covered by the touch screen or near the touch screen. The proximity sensor refers to a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object existing in the vicinity without mechanical contact by using the force of an electromagnetic field or infrared rays. Proximity sensors have a longer lifespan than contact sensors, and their utilization is also high.

Examples of the proximity sensor include a transmissive photoelectric sensor, a direct reflection photoelectric sensor, a mirror reflection photoelectric sensor, a high frequency oscillation type proximity sensor, a capacitive proximity sensor, a magnetic proximity sensor, an infrared proximity sensor, and the like. When the touch screen is capacitive, the proximity of the pointer is detected by a change in electric field according to the proximity of the pointer. In this case, the touch screen (touch sensor) may be classified as a proximity sensor.

Hereinafter, for convenience of explanation, an act of approaching the touch screen without contacting the pointer to recognize that the pointer is located on the touch screen is referred to as a "proximity touch", and the touch An act of actually touching a pointer on a screen is referred to as "contact touch". The position at which the pointer touches on the touch screen means a position at which the pointer vertically corresponds to the touch screen when the pointer is touched.

The proximity sensor detects a proximity touch and a proximity touch pattern (eg, proximity touch distance, proximity touch direction, proximity touch speed, proximity touch time, proximity touch location, proximity touch movement state, etc.). Information corresponding to the sensed proximity touch operation and proximity touch pattern may be output on the touch screen.

In addition, the smart exercise device 100 according to the present invention may include a gyro sensor 141 .

The gyro sensor 141 is a sensor that measures the change in orientation of an object by using the property of always maintaining a certain initially set direction with high accuracy regardless of the rotation of the earth, and the gyroscope has a mechanical method and an optical method using light. there is.

In addition, the smart exercise device 100 according to the present invention may include an acceleration sensor 142 .

The acceleration sensor 142 processes an output signal to measure dynamic forces such as acceleration, vibration, and impact of an object.

The acceleration sensor 142 is broadly classified into a detection method, such as an inertial type, a gyro type, and a silicon semiconductor type.

In addition, the smart exercise device 100 according to the present invention may include a pressure sensor 143.

The pressure sensor 143 refers to a device or element that detects the pressure of a liquid or gas, converts it into an electrical signal that is easy to use for measurement or control, and transmits it.

There are many types of measurement principles, including displacement and strain, as well as using thermal conductivity of molecular density. Recently, a strain gauge type pressure sensor made of silicon has been developed and used for precise pressure measurement. An integrated pressure sensor that even processes signals by making an integrated circuit on the same board has also been developed.

As a representative example, an FSR pressure sensor may be utilized.

The degree of pressure distribution may be measured through the pressure sensor 143, and the pressure sensor 143 may be disposed like a load cell on the handle of an exercise machine, or may be disposed on the side of a golf glove when used as a golf exercise.

In addition, although not shown, a flex sensor may be utilized in the present invention.

Meanwhile, the audio output module 152 may output audio data received from the wireless communication unit 110 or stored in the memory 160 in a recording mode, a voice recognition mode, a broadcast reception mode, or the like. The sound output module 152 also outputs sound signals related to functions performed in the smart exercise device. The sound output module 152 may include a receiver, a speaker, a buzzer, and the like.

The alarm unit 153 outputs a signal for notifying the occurrence of an event of the smart exercise device.

The alarm unit 153 may output a signal for notifying the occurrence of an event in a form other than a video signal or an audio signal, for example, vibration.

The video signal or audio signal may be output through the display unit 151 or the audio output module 152, so they 151 and 152 may be classified as part of the alarm unit 153.

A haptic module 154 generates various tactile effects that a user can feel. A representative example of the tactile effect generated by the haptic module 154 is vibration. The strength and pattern of vibration generated by the haptic module 154 can be controlled.

For example, different vibrations may be synthesized and output or sequentially output.

In addition to vibration, the haptic module 154 responds to stimuli such as a pin array vertically moving with respect to the contact skin surface, air blowing force or suction force through a nozzle or suction port, rubbing against the skin surface, contact of an electrode, electrostatic force, and the like. It is possible to generate various tactile effects, such as the effect of heat absorption and the effect of reproducing the feeling of coolness and warmth using an element capable of absorbing heat or generating heat.

The haptic module 154 not only transmits a tactile effect through direct contact, but also can be implemented so that a user can feel a tactile effect through a muscle sense such as a finger or an arm. Two or more haptic modules 154 may be provided according to configuration aspects of the smart exercise device.

The projector module 155 is a component for performing an image project function using a smart exercise device, and is the same as or at least the same as an image displayed on the display unit 151 according to a control signal from the controller 180. Some other images can be displayed on an external screen or wall.

Specifically, the projector module 155 generates an image to be output to the outside using a light source (not shown) that generates light (eg, laser light) for outputting an image to the outside and light generated by the light source. It may include an image generating unit (not shown) for generating an image, and a lens (not shown) for enlarging and outputting an image to the outside at a certain focal distance. In addition, the projector module 155 may include a device (not shown) capable of adjusting an image projection direction by mechanically moving a lens or an entire module.

The projector module 155 may be divided into a cathode ray tube (CRT) module, a liquid crystal display (LCD) module, and a digital light processing (DLP) module according to the type of display device. In particular, the DLP module may be advantageous in reducing the size of the projector module 151 by magnifying and projecting an image generated by reflecting light generated from a light source to a digital micromirror device (DMD) chip.

Preferably, the projector module 155 may be provided in the longitudinal direction on the side, front or rear surface of the smart exercise device. Of course, it is natural that the projector module 155 may be provided at any location of the smart exercise device as needed.

Meanwhile, the memory unit 160 may store programs for processing and control of the control unit 180, and temporarily store input/output data (eg, messages, audio, still images, moving images, etc.). It can also perform functions for The memory unit 160 may also store the frequency of use of each of the pieces of data. In addition, the memory unit 160 may store data related to vibration and sound of various patterns output when a touch is input on the touch screen.

The memory 160 may be 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, magnetic It may include at least one type of storage medium among a disk and an optical disk. The smart exercise device may operate in relation to a web storage performing a storage function of the memory 160 on the Internet.

The interface unit 170 serves as a passage with all external devices connected to the smart exercise device. The interface unit 170 receives data from an external device, receives power and transmits it to each component inside the smart exercise machine, or transmits data inside the smart exercise machine to an external device. For example, a wired/wireless headset port, an external charger port, a wired/wireless data port, a memory card port, a port for connecting a device having an identification module, an audio I/O (Input/Output) port, A video I/O (Input/Output) port, an earphone port, and the like may be included in the interface unit 170 .

The identification module is a chip that stores various information for authenticating the right to use the smart exercise device. User Identify Module (UIM), Subscriber Identify Module (SIM), Universal Subscriber Identity Module, USIM), etc. A device equipped with an identification module (hereinafter referred to as 'identification device') may be manufactured in the form of a smart card. Therefore, the identification device may be connected to the smart exercise device through the port.

The interface unit becomes a passage through which power from the cradle is supplied to the smart exercise device when the smart exercise device is connected to an external cradle, or various command signals input from the cradle by the user are transmitted to the mobile device. can be a conduit Various command signals or the power input from the cradle may be operated as a signal for recognizing that the mobile device is correctly mounted on the cradle.

The control unit (controller, 180) typically controls the overall operation of the smart exercise device.

The power supply unit 190 receives external power and internal power under the control of the controller 180 and supplies power necessary for the operation of each component.

Various embodiments described herein may be embodied in a recording medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

According to hardware implementation, the embodiments described herein include application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and electrical units for performing other functions. The described embodiments may be implemented by the controller 180 itself.

According to software implementation, embodiments such as procedures and functions described in this specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein. The software code may be implemented as a software application written in any suitable programming language. The software code may be stored in the memory 160 and executed by the controller 180.

As described above, the smart exercise device 100, the user terminal 200, and the server 300 may configure a network and exchange data through short-range or long-distance communication with each other.

For short-distance communication, Bluetooth, RFID (Radio Frequency Identification), infrared communication (IrDA, infrared data association), UWB (Ultra Wideband), ZigBee, and Wi-Fi (Wireless Fidelity) technologies are used. Code division multiple access (FDMA), frequency division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA), and single carrier frequency division multiple access (SC-FDMA) technologies are used.

Here, the user terminal 200 may be a passage connecting the smart exercise equipment 100 and the user through an application.

In addition, the user terminal 200 may also display exercise information received from the smart exercise device 100 or exercise feedback information processed by the server 300 .

Also, the user terminal 200 may display information for measuring the user's ROM on the display unit.

The terminal 200 can display information for measuring the user's exercise range of motion (ROM), guide the exercise after setting a target value, and provide feedback to the user by synthesizing the exercise results. , final result statistics may be displayed on the display unit of the terminal 200 .

Specifically, the smart exercise device 100 according to the present invention uses a gyro sensor (angle sensor, 141) and a load cell (pressure sensor, 143) to inform the patient's joint range of motion and grip strength value, thereby allowing the patient to exercise the upper limbs by himself. In order to recover the degraded function, the product itself gives feedback and induces it to be used for repetitive training, and it is a device used for muscle reconstruction and joint motion recovery.

Specifically, the smart device 100 according to the present invention receives power from the battery 190 and receives the measured value of each sensor 140 through the MCU 180 and displays it on the display 151.

The OLED display 151 is operated by being supplied with DC 3.3V voltage through a regulator, the vibration motor is operated by receiving 4.7V, and the load cell (pressure sensor, 143) is operated by receiving V.

For angle measurement and distance measurement, data values according to the user are provided through the arm length, and time settings can be maintained through a separate coin battery.

The operation of this device can be divided into detailed modes according to each selection tap on the main screen on the display unit 151 .

It is controlled using the button at the bottom of the OLED (151), and it is possible to enter the feedback mode in all three measurement modes.

In addition, there are Bluetooth connection mode, power saving mode, setting mode, and reset mode. The current time is displayed on the main screen and power saving mode, and the current time is also displayed on the upper left corner of each measurement screen. The detailed items of setting are divided into language, bell/vibration, screen setting, arm length setting, and time, and you can set the details yourself.

On the main screen, information such as language, time, bell/vibration, screen, etc. is expressed according to environment settings, and as a background operation, the battery value according to the amount of battery is displayed, and charging is performed according to the recognition of the connection of the battery charging line. Then, it waits for the user's event (input) and proceeds according to the event. Depending on each input button, functions such as connection to Bluetooth mode, entry into each mode, reset, and power saving are performed.

In the angle measurement mode, detailed settings are applied according to the environment setting value, and the current battery level is displayed as a background operation, the current measured angle axis (among the X, Y, and Z axes) is expressed, and the bell/vibration mode is displayed as a small icon at the top. display Afterwards, the real-time angle value is expressed as a background operation, and it operates according to the user's event (input).

Depending on each input button, you can go to the previous screen, enter feedback mode, initialize angle value, change and reset angle measurement axis, and enter power saving mode.

You can enter angular motion (feedback mode) from inside angular motion mode. The mode is divided into two screens, and on the first screen, you can check the exercise target angle. In the current mode, it is possible to proceed again after canceling the measurement of the target angle. As with all other modes, the background operation and sleep mode functions are equally applied.

This is the second screen when entering angular motion (feedback mode). In the current screen, it is possible to exercise through repetitive exercise according to the set target value. When the target value is reached, feedback is provided by sound (Beep) or vibration.

In the grip strength measurement mode, there is no basic axis part, and it expresses the current value applied to the current load cell (sensor) in the background. After that, it waits for the user's event (input) and displays the previous screen and feedback (exercise) according to each input (button). It operates in mode entry, initialization, reset, and power saving mode, and the background operation and power saving operation are the same as in other modes.

It is possible to enter the angular motion (feedback mode) inside the grip strength measurement mode. It operates similarly to the angular motion mode, and the expression value is expressed as a grip strength value.

In the distance measurement mode, it is a mode that shows the distance traveled after calculating the value obtained using the gyro sensor through a specific formula. The operation method is similar to the angle measurement mode, and the usage formula is as follows.

Equation 1

L = rΘ

In Equation 1, L represents the length of the L arc, r represents the radius, and Θ represents the central angle (radians).

In the screen selection item, the screen can be switched by default. The screen transition is made for the screen that is visible when measuring the right hand and the left hand, and not only the screen is changed, but the measured value is also changed. The default setting is for right hand and can be changed with left hand.

In the arm length setting item, the user's arm length can be set. Depending on the length of the arm, the values displayed when measuring the angle and distance are different, and it is recommended to set the corresponding part. The default value is set at 20 and can be set up to 100, and the movement unit is changed by 5.

In the Bluetooth mode, all data values measured by the device are sent to the application through Bluetooth communication for interworking with the application. The Bluetooth data transmission format is separately written as an explanation in the above flowchart, and the corresponding value is transmitted at a speed of 115200 bps.

Based on the configuration and technical content according to the present invention described above, specific technical features proposed by the present invention will be described with reference to the drawings.

2 is a flowchart illustrating an exercise method through a smart exercise device, a terminal, and a server proposed by the present invention.

Referring to FIG. 2 , first of all, in the present invention, an application is installed in the terminal 200 and a user is registered (S10).

3 is used for description of step S10.

3 is a flowchart illustrating a process of installing an application in a terminal and registering a user according to the present invention.

Referring to FIG. 3 , step S10 starts from step S11 of installing an application in the terminal 200 .

Thereafter, a step (S12) in which the terminal 200 and the smart exercise device 100 are connected through the installed application proceeds.

Here, a plurality of terminals 200 and one smart exercise device 100 may be connected, a plurality of smart exercise devices 100 may be connected to one terminal 200, and a plurality of smart exercise devices 100 may be connected. It may be connected to a plurality of terminals 200 .

Thereafter, a step of registering a user in the application through the terminal 200 (S13) proceeds.

After user registration, the user can register age, gender, height, arm length, disease (tetraplegia, hemiplegia, shoulder injury, elbow injury, wrist injury, finger damage, other diseases), etc. may be input (S14).

Returning to FIG. 2 again, after step S10, a step (S20) of setting a user's exercise target value through the smart exercise device 100 proceeds.

Step S20 will be described in detail with reference to FIG. 4 .

4 is a flowchart illustrating a process of setting a user's exercise target value through a smart device according to the present invention.

Referring to FIG. 4 , step S20 first proceeds to step S21 in which a plurality of exercise postures (arm raising, spreading, shoulder rotation, etc.) are guided through the terminal 100 .

That is, guide information for allowing the user to select a body part to exercise through the smart exercise device 100 is displayed, and furthermore, a specific exercise method for exercising the body part is additionally displayed.

Then, when the user selects at least one exercise posture (S22), the smart device 100 receives the grip strength for a certain period of time and calculates an average value, a maximum value, etc. (S23), and the user's movement angle, distance, etc. is input and an average value is calculated (S24).

Steps S23 and S24 may be applied in an exchanged order.

Thereafter, a step (S25) of setting the value calculated by the terminal 200 and the smart device 100 as the target value of the rehabilitation patient proceeds.

Therefore, in the present invention, even if the person's ROM is not accurately known, it is possible to accurately grasp the movable range of a desired body part through the above steps and select an appropriate exercise method.

After step S20, the step of exercising (S30) proceeds.

Step S30 will be described in detail with reference to FIG. 5 .

5 is a flowchart illustrating a process in which a user exercises through a smart device according to the present invention.

Referring to Figure 5, in step S30, first, a step (S31) in which the user starts an exercise by moving the smart device 100 proceeds.

After step S31, the exercise through the smart device 100 is counted as the number of exercises only when it exceeds a preset target value (S32).

Therefore, the user can efficiently exercise the actual desired part by counting the exercise only for events that actually exercise the user's body.

In addition, by providing feedback such as vibration to the user only for cases exceeding the target value during exercise (S33), it is possible to provide feedback and an opportunity to correct the current user's posture, exercise intensity, and the like.

Returning to FIG. 2 again, after step S30, a step (S40) of feeding back the results of the exercise to the user through the terminal proceeds.

Regarding step S40 , refer to FIG. 6 .

6 is a flowchart illustrating a process of feeding back results of an exercise to a user through a terminal according to the present invention.

Referring to FIG. 6 , after step S30, when the number of times set by the patient is reached, step S41 of ending the exercise proceeds.

After that, the terminal 200 or the smart device 200 displays exercise results according to a specific category (S42).

In addition, instead of simply integrating and displaying only the exercise status to the user, the exercise information is shared with the outside through communication such as Bluetooth (S43), and the user terminal 200 or smart exercise is provided with exercise-related information evaluated from the outside. A step (S44) of displaying with the device 100 proceeds.

Therefore, the user can receive real-time feedback on his or her exercise progress, receive exercise information classified according to a certain category in real time, receive feedback on exercise performance for a certain period of time, and receive expert advice from external experts. You will also receive negative feedback.

7 is a flowchart illustrating a method of exercising through the smart exercise device, terminal, and server described in FIGS. 2 to 6 .

Referring to FIG. 7 , the system according to the present invention is composed of a smart exercise device 100 , a user terminal 200 , a server 300 and a pool 400 of experts (such as doctors).

Referring to FIG. 7 , the first step is to install an application on the terminal 200 (S11).

Thereafter, a step (S12) in which the terminal 200 and the smart exercise device 100 are connected through the installed application proceeds, and through the terminal 100, a plurality of exercise postures (arm raise, spread, shoulder rotation, etc.) The guided step (S21) proceeds.

That is, guide information for allowing the user to select a body part to exercise through the smart exercise device 100 is displayed, and furthermore, a specific exercise method for exercising the body part is additionally displayed.

Then, when the user selects at least one exercise posture (S22), the smart device 100 receives the grip strength for a certain period of time and calculates an average value, a maximum value, etc. (S23), and the user's movement angle, distance, etc. is input and an average value is calculated (S24).

Thereafter, a step (S31) in which the user moves the smart device 100 to start an exercise proceeds.

After step S31, the exercise through the smart device 100 is counted as the number of exercises only when it exceeds a preset target value (S32).

Therefore, the user can efficiently exercise the actual desired part by counting the exercise only for events that actually exercise the user's body.

In addition, when the number of times set by the patient is reached, a step (S41) of ending the exercise proceeds.

After that, the terminal 200 or the smart device 200 displays exercise results according to a specific category (S42).

In addition, instead of simply integrating and displaying only the exercise status to the user, the exercise information can be shared with the server 300 (S43) through communication such as Bluetooth, and the server 300 is linked with the external expert server 400. In the state of (S50), feedback on the exercise information may be additionally received.

Therefore, a step (S44) of receiving the exercise-related information evaluated from the outside and displaying it on the user terminal 200 or the smart exercise device 100 proceeds.

Meanwhile, in the present invention, in relation to step S21, a method of automatically recommending an exercise in the terminal 200 based on information when a user signs up and a method of manually recommending an exercise when the user desires can be applied together. there is.

In addition, in the present invention, as a method of accurately measuring the range of motion (distance, angle, etc.) of the user in steps such as S23, S24, S32, and S33, the user is photographed through the terminal 200 camera, and the captured video and image A method of determining whether the patient has properly exercised based on the back may be additionally used.

In particular, it is possible to induce precise and enjoyable movement of the patient through a game determined in correspondence with the user's ROM.

For example, if the user's current maximum movement distance is 20 cm, it is possible to provide the user's exercise and amusement together by allowing a specific mission to succeed only when the user's body moves more than 20 cm in the game.

The method using such a game is equally applicable to not only the moving distance but also the grip strength.

In addition, in measuring the motion angle, the rotation angle of the joint itself may be measured and fed back in addition to the motion of the arm or leg.

In addition, a movement guidance guide may be displayed on the terminal 200 in the ROM measurement steps of S24 and S25.

At this time, by tracking the user's movement acquired through the camera in real time and displaying it together with the guidance guide, it is possible to accurately measure the ROM.

In addition, guide information about a point and posture to be photographed by the patient may be additionally displayed on the display of the terminal for the camera view angle.

How to apply smart device 100 to golf exercise

With the rapid growth of the golf industry, various studies and education are being actively conducted to help many golfers play golf safely and well. In particular, the importance of grip strength and wrist cocking is always increasing, especially since the hand is a connecting part for swinging the club in golf. are being emphasized

In addition, the most frequently occurring part among sports injuries of professional golf players is the left wrist. Compared to other parts, the hand has many joints and is functional, but it has few muscles and is an unstable structure, so it is often damaged.

In learning and correcting the golf swing, it is very important to collect quantitative biometric information of the golfer that changes during the swing. In particular, hand grip strength and wrist angle are necessarily measured and analyzed based on the data to develop exercise goals and correction plans. It is possible to prevent secondary sports damage only by catching it.

To correct the swing of professional and amateur golfers, swing analysis devices with various technologies are used to measure their physical information. Products that analyze the angles of various body parts that change during a swing by taking a swing video using a product family and a high-speed camera are mainly used.

However, there is no golf exercise equipment product on the market that quantitatively provides information on the pressure applied to the grip during swing or changes in biometric information such as wrist cocking.

Existing products are those that attach to golf clubs to analyze the swing trajectory, and those that use high-speed cameras to analyze the swing trajectory. They have been developed into forms that simply provide information on the swing speed or direction of the club head to smart devices.

Most products using gyro, acceleration, and geomagnetic sensors are attached to clubs to measure speed or trajectory and provide information through applications.

In addition, motion capture products using cameras recognize markers on virtual joints and extract skeletons to estimate body angles, but there is a problem in that the margin of error is large.

Therefore, the core of this proposed technology is to develop a sensor unit that can quantitatively measure the change in grip strength in real time in the cocking angle of the wrist and grip, which are known to be important factors in the golf swing, and use a 9-axis gyro, acceleration, and geomagnetic sensor to Development of an ICT-based golf exercise device capable of remote diagnosis and teaching by calculating and linking the information from the swing analysis of the head part in real time, enabling step-by-step quantitative exercise goals and repetitive exercises based on the biometric information of the hand measured during swing has a purpose to

According to the present invention, it is possible to measure more accurate and necessary information by interlocking physical sensors such as a gyro sensor, an acceleration sensor, a pressure sensor, and a rotation angle sensor, and use it for analysis and correction training.

In addition, the proposed technology is an ICT-based golf exercise device capable of collecting and analyzing biometric information such as wrist angle, grip strength, and electromyography that change during a golf player's swing and information along the swing trajectory, and performing repetitive corrective training. From amateurs to professional players, where performance improvement and sports damage prevention are important, data management can be possible while using it easily.

8 illustrates an example of application of the measurement data collection algorithm during golf swing using experts according to the present invention.

Referring to FIG. 8 , the user 1 of the user terminal 200 may input basic information such as age, sex, weight, height, arm length, and the like, and register as a member.

In addition, after connecting to the terminal 200 using the smart exercise device 100, it is possible to collect basic data such as user swing data by synchronizing the sensor.

In addition, it is also possible to receive recommended swing data (pro data) from a program on the terminal 200 or the exercise machine 100 or to directly select the user 1 .

Meanwhile, FIG. 9 shows an example of a swing sensor and biometric information measuring module system according to the present invention.

Figure 9 (a) shows an example of measuring grip strength and cocking angle, (b) shows an example of measuring head speed, trajectory and tempo, (c) is an actual golf grip and motion characteristics It shows an example of the jockey design of an exercise device in consideration of.

That is, a module using a 3-axis gyro sensor, a 3-axis acceleration sensor, and a 3-axis geomagnetic sensor to be mounted on the lower portion of the exercise device 100 is used, and a load cell sensor (pressure sensor) module to be mounted on the upper grip portion of the exercise device 100. and data transmission devices using FLEX sensor modules to be mounted on the wrist (glove part) are available.

In the following, more specific technical features will be described using FIGS. 10 to 12 .

10 shows an example of a concept and expected image of a smart golf exercise device according to the present invention.

Referring to FIG. 10 , a hand biometric information sensing unit 140a is shown, which is used to measure the user 1's grill pressure and wrist cocking angle.

In addition, a glove 170a dedicated to the flex sensor may be utilized.

In addition, a load cell 143 and a display unit 151 are disposed, and the swing sensing unit 140b is used to measure swing speed, swing trajectory, and inclination angle of the club.

Furthermore, a wireless communication unit 110 for communication may be disposed around the swing sensing unit 140b.

11 illustrates an example of sensing hand biometric information according to the present invention.

Referring to (a) of FIG. 11 , it is possible to sense information related to pressure points 1, 2, 3, and 4 related to the grip.

In addition, referring to FIG. 11(b), it is also possible to calculate the wrist-cock angle by considering the movement of the club head and the movement of the wrist.

That is, in FIG. 11 , it is possible to sense grip pressure and an angle during cocking.

Meanwhile, FIG. 12 illustrates an example of swing analysis sensing according to the present invention.

In FIG. 12 , it is possible to analyze the user's swing state by sensing and analyzing the speed and trajectory of the head.

Meanwhile, FIG. 13 illustrates an example of a sensor data interlocking processing and a wireless communication unit in relation to the present invention.

14 illustrates an example of ICT-based data management and remote calibration training in relation to the present invention.

Referring to FIGS. 13 and 14 , a processing electric unit, a low-power battery power supply unit, and a charging unit are used for calculating data received from each sensing module.

13 (a) illustrates network construction through a wireless communication unit, (b) illustrates calculations related to biometrics and swing information, and (c) illustrates an example of feedback with a manager.

In (b) of FIG. 13, a swing angle and speed may be calculated, and a 3D swing trajectory may be derived by calculating the extracted data.

In addition, pressure sensor and FLEX sensor data can be calculated, and data linkage and matching algorithms can be used.

In (a) of FIG. 13, it is possible to transmit exercise data to a user terminal in real time using BT, WIFI, and the like.

15 illustrates an example of contents for an ICT platform and a user according to the present invention.

When the above apparatus and method are applied, the server 300 continuously receives information from the smart exercise device 100, the user terminal 200, and the expert server 400, stores it according to a specific category, and stores it in a database. It is possible to build (DB).

In the present invention, a platform service that provides information related to exercise to users or experts through the constructed database may be provided.

14 illustrates an example of building a database (DB) based on information related to exercise and providing a platform service as another embodiment of the present invention.

Referring to FIG. 14, in the present invention, user information and ROM information are received by the server 300, compared with normal values, and when determined to be abnormal, related query responses are provided to the user through the terminal 200, The user's health problems can be identified.

In addition, by providing a recommended exercise through the user terminal 200 based on the identified problem, the function of the exercise providing platform service may be provided.

In addition, the expert (doctor, etc.) server 400 utilizes the video, image, etc. captured by the camera of the smart exercise device 100 and / or terminal 200, and the server 300 collects this information comprehensively It is possible to provide a platform function that provides exercise suitability determination and exercise recommendation of the patient.

In addition, it can be used as a game platform to induce precise and enjoyable exercise of the patient through game play in which contents are determined according to the user's ROM.

In addition, the server 300 may provide a preliminary diagnosis service for stroke, dementia, etc. through a test capable of determining the user's cognitive ability during exercise.

Here, a method of 1) automatically recommending an exercise based on information when a user signs up, and 2) manually recommending an exercise when the user desires may be applied.

In addition, based on the exercise data of the program, experts can use data from golf clubs and individual lessons, and can grow into a platform that provides recommended exercises such as user exercise suitability judgment.

User information and measurement data are stored in the program and received from the server → Compared with the average data value, inquiries about abnormality or swing trajectory, wrist movement, level of grip strength, etc. Remote query possible) → Provide data for comparison and analysis with data recommended by the program (or data of a user-selected pro) → Identify user problems → Provide recommended exercise and pro data related to the problem to the user terminal.

In addition, it is possible to induce precise and enjoyable exercise of the patient through play in which content is determined according to the user's measured data.

In addition, 12 or more contents may be applied to the golf club according to the type.

Meanwhile, FIG. 16 illustrates an example of application of expert and exercise center visiting exercise and remote advice in relation to the present invention.

Referring to FIG. 16, product users' personal information (exercise data) is provided to experts (individual lessons) or professional organizations (golf clubs and lesson centers) (separate club programs) so that users can exercise at home (or office). Based on the data, it is possible to provide data to identify and improve users' problems when receiving lessons from experts (individuals or professional groups).

In addition, by providing exercise information (pro data for reference, exercise intensity, exercise time, swing trajectory, grip strength information, wrist cocking information, etc.), it is possible to provide data that users can refer to when receiving actual lessons and expert guidance. do.

In addition, it is possible to provide individual data by assigning an ID according to each user (a person's name can be used during a lesson in a professional group).

In addition, it is possible to provide a program for mobile so that the personal practice data and data trained in the center can be stored on the server and referred to the data through mobile.

In addition, in the program for the bar, it is possible to answer questions remotely without visiting the center (user queries and expert advice provided).

On the other hand, the present invention can be used as a method of exercising in a group unit and receiving feedback on it, in addition to a method applied only for individual users.

In the present invention, as a group exercise through a network, a manager is assigned and a plurality of users are given the same mission to perform the exercise with the smart exercise device 100, and the results are summed up and shared (ranking, exercise feedback between each other) etc.) can.

The exercise information fed back to each user may include exercise intensity, time, exercise state, current exercise state, and the like, and it is also possible to provide feedback on the battery remaining amount of each smart exercise device 100.

In addition, a configuration in which IDs are assigned to each device and team to be classified may be applied.

That is, a plurality of teams (A1, A2, B1, B2, C1, C2) are placed in various regions, and each region is controlled from the smart device 100 belonging to each team (A1, A2, B1, B2, C1, C2). The server 300 collects information, and the integrated control server 300 comprehensively receives the collected results.

Thereafter, the integrated customs book 300 may evaluate and provide feedback on exercise performance on a regional basis, a team basis, and an individual basis.

Data collection equipment for golf swing using MEMS built-in sensor

In addition, FIG. 20 shows an example of a conceptual diagram of a device proposed by the present invention, and FIG. 21 shows an example of an actual device.

Referring first to FIGS. 20 and 21 , a mechanism for establishing a communication network and collecting data for golf swing analysis is shown.

Numerous data are known to analyze and determine whether the golf swing is working correctly, and various types of measuring instruments have been developed and used for this purpose, but most swing analysis equipment uses video (visible light), radar, lidar, etc. As expensive equipment, it has good performance, but it is impossible to use it generally, and it is known that there is no suitable equipment in terms of accuracy or usability yet for equipment using built-in sensors such as acceleration sensors.

A number of products have been developed and released in the form of built-in or attached golf clubs using MEMS sensors such as acceleration sensors, but it is difficult to collect accurate data necessary for swing analysis as data in the form of measuring relative movement data.

In the present invention, in order to supplement the shortcomings of existing built-in sensor products and collect data for accurate swing analysis, MEMS sensors such as an acceleration sensor and a gyro sensor are attached to the head and grip of the golf club, and additionally attached to the wrist, Compared to existing built-in sensor products, more types of data can be collected and accurate measurements can be made.

In addition, by attaching a pressure sensor to the grip part, it is possible to measure grip pressure change data during swing.

20 and 21, the data collection mechanism for golf swing using the MEMS built-in sensor proposed by the present invention includes a first MEMS (Micro Electro-Mechanical Systems) sensor unit mounted on the head part 1200 of a golf club ( 1210), a second MEMS (Micro Electro-Mechanical Systems) sensor unit 1120 mounted on the grip portion 1100 of the golf club, and a third MEMS (Micro Electro-Mechanical Systems) mounted on the wrist portion 1000 of the golf club user. A sensor unit 1010 may be included.

In addition, in relation to the grip portion 1100 of the golf club, at least one pressure sensor unit 1110 disposed adjacent to the second MEMS sensor unit 1120 may be included.

In addition, the communication unit (not shown) builds at least some of the data collected by the first MEMS sensor unit 1210, the second MEMS sensor unit 1120, the third MEMS sensor unit 1010, and the pressure sensor unit 1110. It can be transmitted to the outside through a communication network.

Here, the first MEMS sensor unit 1210 collects the 3-axis acceleration change data of the golf club shaft and the 3-axis angular velocity change data of the shaft, and the second MEMS sensor unit 1120 collects the 3-axis acceleration change data of the golf club head. and 3-axis angular velocity change data of the head, and the third MEMS sensor unit 1010 may collect 3-axis acceleration change data of the wrist and 3-axis angular velocity change data of the wrist.

Also, the pressure sensor unit 1110 may collect pressure change data of the grip portion of the golf club.

Through the communication unit, the terminal or server that has received the data collected by the mechanism includes the 3-axis acceleration change data of the shaft, the 3-axis angular velocity change data of the shaft, the 3-axis acceleration change data of the golf club head, and the 3-axis acceleration change data of the head. Shaft angle change, wrist angle change, At least one of head angle change, head speed change, and grip pressure change may be derived.

In addition, the terminal or server may use at least one of a shaft angle change, a wrist angle change, a head angle change, a head speed change, and a grip pressure change during the golf swing process to change the swing trajectory during the golf swing process, during the swing. At least one of a maximum speed, a head angle at the time of impact where the golf club and the ball contact each other, and a swing time may be derived.

In addition, the terminal or server uses at least one of a swing trajectory change in a golf swing process, a maximum speed during a swing, a head angle during impact, and a swing time, and the head position error during impact, the head angle error during impact, At least one of spin information and launch angle (trajectory angle) information according to the head angle at the time of impact may be derived.

In addition, the terminal or server may include the derived swing trajectory change, maximum speed during swing, head angle and swing time at impact, head position error at impact, head angle error at impact, and spin according to the head angle at impact. Correction information for the swing correction may be generated based on at least one of information and launch angle (trajectory angle) information.

In addition, the first MEMS sensor unit 1210, the second MEMS sensor unit 1120, and the third MEMS sensor unit 1010 may include a gyro sensor, an acceleration sensor, and a geomagnetic sensor.

On the other hand, when the user inputs first information related to the body through the terminal, the communication unit receives the first information from the terminal, and the device determines the user's golf exercise based on the first information. The second information for guiding a plurality of exercise methods to be performed may be determined.

Thereafter, when the communication unit receives a first exercise method selected by the user from among the plurality of exercise methods from the terminal on which the second information is displayed, and the user performs a test exercise according to the first exercise method, the test A target exercise trajectory and a target number of times related to the golf exercise are determined based on the data measured in the exercise, and the instrument is exercised only for motions matching the target exercise trajectory among motions according to the user's actual exercise. can be counted.

When the total number of counting reaches the target number of times, a feedback notifying that the exercise has ended may be provided to the user.

Here, the first information may include age, gender, weight, height, and arm length information of the user, and the plurality of exercise methods may include a swing exercise method related to the golf exercise.

According to the present invention, the swing angle during the basic swing is obtained by collecting 3-axis acceleration data and 3-axis gyro data of x, y, z according to the movement of the golf club during a swing through a sensor mounted on the grip of the golf club. Changes can be calculated, but only approximate values can be taken because they consist of only relative data.

In addition, according to the present invention, x, y, z 3-axis acceleration data and x, y, z 3-axis gyro data according to the movement of the head are collected separately from the shaft movement during swing through a sensor mounted on the golf club head, Data such as angle change, acceleration change, and speed change regarding head movement during swing can be collected.

In addition, the movement of the golf club in space can be calculated by linking the data of the golf club grip part with the data of the golf club head part, which is more accurate than conventional products equipped with only one sensor.

In addition, the sensor data of the grip part of the golf club is basic swing data, which is the basis for analysis, and the sensor data of the head part is a form in which the golf club head rotates later than the shaft due to the golf club being bent by a strong force during the golf swing, resulting in poor swing accuracy. It can be used for analysis, and through this, it can help in choosing a personalized golf club.

In addition, the sensor data of the head of the golf club can calculate the exact speed of the head during swing and how much the head is twisted in 3D, and through this, the approach angle, face angle, etc. can be known, and secondary launch Data such as angle, spin, and spin axis can be calculated.

In addition, it is possible to calculate the change in the angle between the shaft and the wrist (arm) through the sensor data of the wrist, and through this, the change in the cocking angle can be calculated and reflected in the swing correction.

17 shows data values of the acceleration sensor of the main shaft and the head during swing, FIG. 18 shows data of the acceleration sensor and gyro sensor of the main shaft during swing, and angle data using the same, and FIG. 19 shows the angle of the main shaft during swing. , head angle, and wrist angle data.

Referring to FIGS. 17 to 19 , the shape of the acceleration data values of the main shaft part sensor and the head part are similar, but a slightly different type of data is measured due to a difference in movement due to the bending of the shaft during swing.

Therefore, the sensor data of the main shaft is used as the basic data of the grip part of the shaft, which is the basis of swing, and used to calculate the angle according to the grip and swing, and the sensor data of the head part calculates the actual head speed and head angle at impact can be used separately.

In addition, due to the characteristics of relative sensor data, it is difficult to accurately calculate a swing trajectory using motion data of one point in measuring a swing trajectory, but it is possible to increase accuracy by linking data of two points.

In addition, although the angle change can be calculated using the MEMS sensor's accelerometer data or gyro data alone, it is impossible to calculate an accurate angle in a relative motion state without a reference point. change can be calculated.

In addition, it is possible to relatively accurately calculate various data required for swing analysis by linking the MEMS sensor data and the calculated angle data of the three points, and through this, it can be used for various types of swing correction.

Based on the mechanism proposed by the present invention, the data that can be obtained are as follows.

(1) MEMS sensor data

- 3-axis acceleration data of golf club shaft

- 3-axis gyro data of golf club shaft

- 3-axis acceleration data of the golf club head

- 3-axis gyro data of the golf club head

- Wrist 3-axis acceleration data

- Wrist 3-axis gyro data

(2) pressure sensor

- Pressure data of golf club grip part

In addition, based on the mechanism proposed by the present invention, the swing data that can be calculated are as follows.

(1) Primary data

- Shaft angle change between swings

- Changes in wrist angle between swings

- Head angle change between swings

- Change in head speed between swings

- Changes in grip pressure between swings

(2) Secondary data

- Swing trajectory changes between swings

- Top speed when swinging

- Head angle at impact

- swing time

(3) 3rd data

- Head position error at impact

- Head angle error at impact

- Spin according to head angle at impact (backspin, slice, etc.)

- launch angle (trajectory angle)

The features of the instrument proposed through this specification are as follows.

- As a device corresponding to a golf club, it has the same length and same weight distribution as a golf club

- A pressure sensor and grip MEMS sensor were attached to the grip part of the golf club, a head MEMS sensor was attached to the golf head part, and a MEMS sensor was attached to a device that can be attached to the wrist with a band.

- Built-in Cortex M3-based control circuit with Bluetooth communication to collect sensor data between swings and transmit to mobile web and data collection devices via Bluetooth

- One button is attached to the grip area to control initialization, swing start/end, etc.

- Data cable for programming is externally provided during development

- During development, a small OLED display for simple information display is located on the grip part

- Through MEMS sensor data and grip pressure data at 3 points between golf swings, various and accurate swing data are acquired compared to existing MEMS products, so golf swing correction, which was previously possible through expensive equipment, can be easily performed at a low price.

- Because it is in the form of time series data, it is difficult to analyze patterns through existing regression analysis, so data pattern analysis was conducted through machine learning.

- Golf swing analysis through 3-point MEMS sensor data was efficient enough to find meaningful data patterns by analyzing each data through machine learning. progressively more reliable data can be acquired through

Acquisition of golf swing data through the use of MEMS sensors Classification of 8 stages of golf swing and data analysis

Various methods are used for golf swing correction, and correction through equipment such as correction through video, correction through swing data measured through ultrasound, radar, lidar, etc. Theoretical definition of the golf swing is also incomplete.

In addition, conventionally, relatively inexpensive and accessible calibration instruments have been developed through MEMS sensors, etc., but they do not yet have sufficient reliability and there is a difficulty in theoretical approach.

In the present invention, in order to take a systematic and theoretical approach using a MEMS sensor, etc., a method that can be systematically applied to a golf swing based on MEMS data was conceived.

In addition, due to the nature of time series data, it was conceived that it could be used for golf swing correction by characterizing data of characteristics that could not be patterned and analyzed through machine learning.

According to the present invention, it is possible to propose a system that acquires golf swing data through the use of a MEMS sensor, classifies eight stages of a golf swing, and analyzes the data.

The system according to the present invention may include a terminal or server, a device for establishing a network with the terminal or server, and collecting data for golf swing analysis.

Here, the mechanism includes a plurality of MEMS (Micro Electro-Mechanical Systems) sensor units mounted on at least a part of the golf club, at least one pressure sensor unit disposed on the grip portion of the golf club, and data collected by the plurality of MEMS sensor units and the pressure sensor unit. It may include a communication unit for transmitting at least a part of them to the outside through the established communication network.

In particular, the plurality of MEMS sensor units may collect 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist, and the pressure sensor unit may collect pressure change data of the golf club grip portion.

Meanwhile, the terminal or server that has received the data collected by the device through the communication unit classifies the golf swing stage into 8 stages, and 3-axis acceleration change data and 3-axis angular velocity of the golf club shaft, the golf club head, and the wrist. Different golf swing analysis data for each of the eight steps may be derived using the change data and the pressure change data.

Specifically, the eight steps of the golf swing include an address step where the user sets up (step 1), a take-away step where the user moves the golf club (step 2), and a position corresponding to half of the total length of the user raising the golf club A half swing step (step 3) of positioning the golf club, a top swing step (step 4) in which the user positions the golf club at the largest position among the total lengths, and a down swing step (step 4) in which the user lowers the golf club. Step 4), an impact step in which the golf club and the ball contact each other (step 5), a release step in which the user reduces the force on the golf club after contact with the ball (step 6), and a finish step for finishing the golf swing (step 7). ) may be included.

In addition, in step 1, grip pressure information and shaft angle information are derived, in step 2, the grip pressure information and wrist angle change information are derived, in step 3, the grip pressure information and cocking angle change information are derived, and in step 4, In step 5, the grip pressure information and the shaft angle information are derived, in step 5, the conversion shaft plane angle information and the swing-related trajectory angle information are derived, and in step 6, the grip pressure information, the head speed change information of the golf club, and approach Each piece of information and face angle information are derived. In step 7, the grip pressure information, the wrist angle change information, and the shaft angle information are derived. In step 8, the grip pressure information and the wrist angle change information are derived. .

In addition, the shaft angle change, the wrist angle change, and the head angle change in the course of the golf swing using at least one of 3-axis acceleration change data, 3-axis angular velocity change data, and pressure change data of the golf club shaft, the golf club head, and the wrist. , at least one of head speed change and grip pressure change may be derived.

In addition, the terminal or server may use at least one of a shaft angle change, a wrist angle change, a head angle change, a head speed change, and a grip pressure change during the golf swing process to change the swing trajectory during the golf swing process, during the swing. At least one of a maximum speed, a head angle at the time of impact where the golf club and the ball contact each other, and a swing time may be derived.

In addition, the terminal or server uses at least one of a swing trajectory change during a golf swing, a maximum speed during a swing, a head angle during impact, and a swing time, and the head position error during impact, the head angle error during impact, and the above At least one of spin information and launch angle (trajectory angle) information according to the head angle at the time of impact may be derived.

In addition, the terminal or the server may include the derived swing trajectory change, maximum speed during swing, head angle and swing time at impact, head position error at impact, head angle error at impact, spin information according to the head angle at impact, and Correction information for the swing correction may be generated based on at least one of launch angle (trajectory angle) information.

22 shows the 8 stages of a golf swing and key data for each stage.

Referring to FIG. 22 , although there are various swing step classification methods for theoretical definition of a golf swing, a golf swing step classification method that is commonly used and judged to be effective was identified through MEMS data.

In addition, the information that can be acquired through the MEMS sensor is largely composed of accelerometer data, rotation amount data, and geomagnetic data.

Meanwhile, FIG. 23 illustrates accelerometer data, rotation amount data, and calculated angle data acquired by the MEMS sensor.

Referring to FIG. 23 , data obtained from MEMS and basically processed is as above, and identification of 8 steps of a golf swing was performed through the above data.

24a to 24c illustrate an example of classifying 8 stages of a golf swing according to data.

Referring to FIGS. 24A to 24C , data through the MEMS may be defined as time-series data for a golf swing and may be defined as frequency characteristic data.

Accordingly, the analysis was performed by applying the frequency series spectrum analysis method using the Python engineering library, the pattern for this was defined, and the pattern for this was schematized in FIG. 22.

According to the spectral analysis result, the MEMS data section was divided into 8 golf swing steps, and the analysis model for each step was defined by learning through machine learning for each section.

In addition, various data such as angle change and speed change can be basically acquired and used for swing correction by step-by-step between golf swings through MEMS data, but data for golf swing correction can be obtained from a different perspective by applying a machine learning model. there is.

In addition, it can be used for swing quality analysis through similarity analysis with machine learning models.

In addition, as a machine learning model learning advancement step, a machine learning model for golf swing correction can be built and utilized through additional data collection and learning.

That is, swing data collection using MEMS sensors -> Classification of 8 stages of golf swing by time-series data spectrum analysis -> Classification of data by segment according to the classification of 8 stages -> Establishment of a learning model for each segment through machine learning -> Analysis of golf swing quality can be utilized

There are several attempts to analyze golf swing data in time series, but among them, spectrum analysis was judged to be the most effective.

Considering the complexity of golf swing data, it is difficult to define a model for machine learning, but it was possible to define a model using the data of 8 stages.

Of course, it takes several more steps to collect the results analyzed through the step-by-step model and use them as a completed model, but it is worthwhile just to be able to analyze the swing quality step by step.

Meanwhile, the above-described embodiments of the present invention may be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.

In the case of hardware implementation, the method according to the embodiments of the present invention includes one or more ASICs (Application Specific Integrated Circuits), DSPs (Digital Signal Processors), DSPDs (Digital Signal Processing Devices), PLDs (Programmable Logic Devices) , Field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, etc.

In the case of implementation by firmware or software, the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. The software codes may be stored in a memory unit and driven by a processor. The memory unit may be located inside or outside the processor and exchange data with the processor by various means known in the art.

Detailed descriptions of the preferred embodiments of the present invention disclosed as described above are provided to enable those skilled in the art to implement and practice the present invention. Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will understand that the present invention can be variously modified and changed without departing from the scope of the present invention. For example, those skilled in the art can use each configuration described in the above-described embodiments in a manner of combining with each other. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The present invention may be embodied in other specific forms without departing from the spirit and essential characteristics of the present invention. Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention. The invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. In addition, claims that do not have an explicit citation relationship in the claims may be combined to form an embodiment or may be included as new claims by amendment after filing.

Claims (9)

terminal or server; And a mechanism for establishing a network with the terminal or server and collecting data for golf swing analysis;

The instrument,
A plurality of MEMS (Micro Electro-Mechanical Systems) sensor units mounted on at least a portion of a golf club;
at least one pressure sensor unit disposed on a grip portion of the golf club; and
a communication unit for transmitting at least some of the data collected by the plurality of MEMS sensor units and the pressure sensor unit to the outside through the established communication network; including,

The plurality of MEMS sensor units collect 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist,
The pressure sensor unit collects pressure change data of the grip portion of the golf club,

Through the communication unit, the terminal or server receiving the data collected by the device,
The golf swing phase is divided into 8 phases,
A system for deriving different golf swing analysis data for each of the eight steps using 3-axis acceleration change data, 3-axis angular velocity change data, and pressure change data of the golf club shaft, the golf club head, and the wrist.
According to claim 1,
Step 8 of the golf swing,
An address step that the user sets up (step 1);
a take away step in which the user moves the golf club (step 2);
a half swing step (step 3) of positioning the golf club at a position corresponding to half of the total length of the golf club by the user;
a top swing step (step 4) in which the user positions the golf club at the largest position among the total lengths;
The process of the user lowering the golf club includes a down swing step (step 4);
An impact step (step 5) in which the golf club and the ball contact each other;
A release step (step 6), which is a process in which the user reduces the force on the golf club after contact with the ball; and
A system including a finish step (step 7) of finishing the golf swing.
According to claim 2,
In the first step, grip pressure information and shaft angle information are derived,
In step 2, the grip pressure information and wrist angle change information are derived.
In the third step, the grip pressure information and cocking angle change information are derived,
In step 4, the grip pressure information and the shaft angle information are derived,
In step 5, conversion shaft plane angle information and swing-related trajectory angle information are derived;
In step 6, the grip pressure information, the head speed change information of the golf club, the approach angle information, and the pace angle information are derived.
In step 7, the grip pressure information, the wrist angle change information, and the shaft angle information are derived;
In step 8, the grip pressure information and the wrist angle change information are derived.
According to claim 3,
Shaft angle change, wrist angle change, head angle change, A system that derives at least one of head speed change and grip pressure change.
According to claim 4,
The terminal or server,
Using at least one of a shaft angle change, a wrist angle change, a head angle change, a head speed change, and a grip pressure change during the golf swing process, the swing trajectory change during the golf swing process, the maximum speed during the swing, and the golf club A system for deriving at least one of a head angle and a swing time upon impact with a ball.
According to claim 5,
The terminal or server,
According to the head position error at impact, the head angle error at impact, and the head angle at impact, using at least one of the swing trajectory change during the golf swing, the maximum speed during swing, the head angle at impact, and the swing time. A system for deriving at least one of spin information and launch angle (trajectory angle) information.
According to claim 6,
The terminal or server,
The derived swing trajectory change, swing maximum speed, head angle and swing time at impact, head position error at impact, head angle error at impact, spin information and launch angle (trajectory angle) information according to the head angle at impact Based on at least one of, a system for generating correction information for the swing correction.
According to claim 7,
The plurality of MEMS sensor units include a gyro sensor, an acceleration sensor, and a geomagnetic sensor.
terminal or server; and a plurality of MEMS (Micro Electro-Mechanical Systems) sensor units mounted on at least a part of a golf club to establish a network with the terminal or server and collect data for golf swing analysis, and at least one disposed on a grip portion of the golf club. In the golf swing correction method using an apparatus including a pressure sensor unit and a communication unit for transmitting at least some of the data collected by the plurality of MEMS sensor units and the pressure sensor unit to the outside through the established communication network,
The plurality of MEMS sensors collect 3-axis acceleration change data and 3-axis angular velocity change data of the golf club shaft, the golf club head, and the wrist, and the pressure sensor unit collects pressure change data of the golf club grip portion. ;
a second step of receiving, by the terminal or server, the data collected by the device through the communication unit; and
The terminal or server divides the golf swing into 8 steps, and uses 3-axis acceleration change data, 3-axis angular velocity change data, and pressure change data of the golf club shaft, the golf club head, and the wrist, respectively, for each of the 8 steps. A third step of deriving different golf swing analysis data for

In the third step, the eighth step of the golf swing,
An address step that the user sets up (step 1);
a take away step in which the user moves the golf club (step 2);
a half swing step (step 3) of positioning the golf club at a position corresponding to half of the total length of the golf club by the user;
a top swing step (step 4) in which the user positions the golf club at the largest position among the total lengths;
The process of the user lowering the golf club includes a down swing step (step 5);
An impact step (step 6) in which the golf club and the ball contact each other;
A release step (step 7), which is a process in which the user reduces the force on the golf club after contact with the ball; and
Including, a finish step (step 8) of finishing the golf swing;

In the first step, grip pressure information and shaft angle information are derived,
In step 2, the grip pressure information and wrist angle change information are derived.
In the third step, the grip pressure information and cocking angle change information are derived,
In step 4, the grip pressure information and the shaft angle information are derived,
In step 5, conversion shaft plane angle information and swing-related trajectory angle information are derived;
In step 6, the grip pressure information, the head speed change information of the golf club, the approach angle information, and the pace angle information are derived.
In step 7, the grip pressure information, the wrist angle change information, and the shaft angle information are derived;
In step 8, the grip pressure information and the wrist angle change information are derived.

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