Automatic golf training equipment and training method

Abstract

The invention provides automatic golf training equipment and a training method. The automatic golf training equipment comprises a sensing patch and a position sensing identifier, the sensing patch is attached to a hitting face of a club head of the golf club, a high-density pressure sensor array is integrated in the sensing patch, the pressure sensor array comprises a plurality of pressure sensors and is used for collecting pressure data on the hitting face, and a golf ball position sensing mark is printed on the surface of the sensing patch. The sensing patch is used for recognizing contact position data of a golf ball and a hitting face, and the edge of the sensing patch is provided with a protruding easy-to-tear structure. The control device is arranged on the golf club and connected with the sensing patch, and an acceleration sensor is arranged in the control device and used for measuring acceleration data of the golf club, so that the control device generates training data based on the pressure data, the contact position data and the acceleration data; therefore, the accuracy and the dimensionality of ball hitting data acquisition are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of golf, and particularly to a golf automatic training device and a training method. Background Art

[0002] The sport of golf attracts numerous enthusiasts worldwide with its unique charm. For golfers, mastering precise hitting skills is the key to improving their level. Traditional hitting training usually relies on the golfer's self-perception, on-site coaching by a coach, or simple auxiliary tools, such as pasting an induction patch with simple scales on the club face to roughly show the hitting point. These traditional methods generally have problems such as insufficient accuracy, lagging feedback, single data dimension, inability to perform quantitative analysis, and lack of personalized guidance, severely restricting the further improvement of training effects. Summary of the Invention

[0003] Based on this, it is necessary to provide a golf automatic training device and an analysis method to solve at least one of the above problems.

[0004] In a first aspect, the present application provides a golf automatic training device, including: An induction patch attached to the hitting surface of the club head of a golf club. The induction patch internally integrates a high-density pressure sensor array. The pressure sensor array includes multiple pressure sensors, and the multiple sensors are arranged at a specific spacing to collect pressure data on the hitting surface. The surface of the induction patch is printed with a position sensing mark for a golf ball, and the position sensing mark is used to identify the contact position data between the golf ball and the hitting surface. The edge of the induction patch is provided with a prominent easy-to-tear structure; a control device disposed on the golf club and connected to the induction patch. The control device internally is provided with an acceleration sensor, and the acceleration sensor is used to measure the acceleration data of the golf club, so that the control device generates training data based on the pressure data, contact position data, and acceleration data.

[0005] It has the following beneficial effects: 1. Different from traditional simple induction patches or naked-eye observation, the induction patch internally integrates a high-density pressure sensor array, which can collect pressure distribution data on the hitting surface of the golf club in real time and with high precision, rather than just a single hitting point, thereby improving the accuracy and dimension of hitting data collection, and also improving the practicality of the product and the user experience.

[0006] 2. Compared with traditional induction patches, combined with the position sensing mark for the golf ball, it can accurately identify the contact position data between the golf ball and the hitting surface, quantify the deviation degree of the hitting sweet spot, provide accurate hitting point feedback for the golfer, and thus precisely guide the golfer to optimize the hitting sweet spot and correct the habit of hitting off-center.

[0007] 3. By integrating pressure data, contact position data, and acceleration data, the limitation of the single dimension of traditional training data is broken, and the original single data dimension is extended to multiple dimensions, providing a more comprehensive and three-dimensional perspective for golfers to analyze their shots, thus making up for the deficiency of the data dimension in traditional training methods.

[0008] 4. The induction patch is directly attached to the striking surface and connected to the control device set on the golf club. This means that at the moment of hitting the ball, pressure, position, and acceleration data can be immediately collected and transmitted, thereby achieving almost zero-latency real-time data feedback. This enables golfers to immediately understand the effect of each shot and make adjustments quickly, significantly superior to the feedback lag caused by relying on the coach's post-event guidance or the golfer's self-perception.

[0009] 5. The edge of the induction patch is provided with a prominent tearable structure, which makes the installation and removal of the induction patch more convenient, improves the user-friendliness and practicality of the product, and enhances the user experience.

[0010] Further, the induction patch is a multi-layer composite structure, and the induction patch includes a flexible substrate, and a pressure sensor array is arranged on the flexible substrate.

[0011] Further, the pressure sensor array includes a plurality of circular pressure sensors with a diameter of 6 mm, and the centers of the circular pressure sensors are arranged at a spacing of no more than 8 mm.

[0012] Further, the position sensing marks include text patterns representing different hitting results, and the text patterns include, for example, one or more of "Chunk", "Thin", "Hook", "Draw", "Fade", or "Slice".

[0013] Further, each text pattern is provided with a corresponding position sensor for automatically collecting the contact position data between the golf ball and the striking surface.

[0014] Further, the pressure sensor is a flexible piezoresistive sensor or a flexible capacitive sensor.

[0015] Further, the acceleration sensor is a three-axis microelectromechanical system (MEMS) accelerometer.

[0016] Further, the control device is electrically connected to the induction patch by a wired method.

[0017] Further, the control device is wirelessly connected to the induction patch by a wireless method.

[0018] In a second aspect, the present application provides a golf automatic training method, which is applied to a golf automatic training device. The golf automatic training device includes: An induction patch is attached to the striking surface of the club head of a golf club. Inside the induction patch, a high-density pressure sensor array is integrated. The pressure sensor array includes multiple pressure sensors, and the multiple sensors are arranged at a specific spacing for collecting pressure data on the striking surface. The surface of the induction patch is printed with a position sensing mark for a golf ball, and the position sensing mark is used to identify the contact position data of the golf ball and the striking surface. The edge of the induction patch is provided with a prominent easy-to-tear structure; A control device is arranged on the golf club and connected to the induction patch. An acceleration sensor is arranged inside the control device, and the acceleration sensor is used to measure the acceleration data of the golf club, so that the control device generates training data based on the pressure data, contact position data, and acceleration data; The golf automatic training method includes: The control device receives the pressure data from the induction patch, and the pressure data is collected based on the pressure sensor array; The control device receives the contact position data from the induction patch, and the contact position data is identified based on the sensing mark; The control device generates training data based on the pressure data, contact position data, and the collected acceleration data.

[0019] This application provides a golf automatic training method. By integrating a high-density pressure sensor array and a position sensing mark on the club striking surface, it can accurately and real-time collect the pressure distribution data during hitting and the contact position data of the golf ball, and combine with the acceleration sensor arranged on the club to measure the acceleration data of the golf club. Thus, the control device can comprehensively generate comprehensive training data objectively and quantitatively by integrating multi-dimensional and high-precision data (including pressure, position, and acceleration). It overcomes the limitations of insufficient accuracy, single data dimension, feedback lag, and difficult quantitative analysis in the prior art, thereby providing more accurate, personalized, and scientific hitting training feedback and guidance for golfers, and significantly improving the training efficiency and effect. Description of the Drawings

[0020] The drawings are only for illustrative purposes and should not be construed as a limitation of this patent; the same reference numerals are used for components with the same structure and function. Among them: Figure 1 It is a schematic diagram of the overall structure of a golf automatic training device provided by an embodiment of this application; Figure 2 It is a schematic diagram of the distribution of the pressure sensors on the pressure sensor array provided by an embodiment of this application; Figure 3 It is a schematic diagram of the position sensing mark on the surface of the induction patch provided by an embodiment of this application; Figure 4Another schematic diagram of the position sensing mark on the surface of the induction patch provided by the embodiment of the present application; Figure 5 A flowchart of a golf automatic training method provided by the embodiment of the present application; Explanation of reference numerals: Golf automatic training device - 100; induction patch - 1; control device - 2; golf club - 3; club head - 4; hitting surface - 5; pressure sensor array - 6; pressure sensor - 7; position sensing mark - 8; easy - tear structure - 9; acceleration sensor - 10; golf ball - 200. Detailed implementation manners

[0021] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application. Among them, in the description of the embodiments of the present application, unless otherwise specified, " / " means "or". For example, A / B can mean A or B. The "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality of" means two or more than two.

[0022] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0023] In the description of this embodiment, unless otherwise specified, the meaning of "a plurality of" is two or more than two.

[0024] As Figure 1 shown, a golf automatic training device 100 provided by the embodiment of the present application includes an induction patch 1 and a control device 2. Figure 1 The shown induction patch 1 and control device 2 are only for illustrative purposes. In actual applications, the shape is not limited, and the installation position of the control device 2 is also not limited.

[0025] The induction patch 1 is attached to the hitting surface ⑤ of the club head ④ of the golf club ③. As Figure 2 shown, the induction patch 1 internally integrates a high - density pressure sensor array 6. The pressure sensor array 6 includes a plurality of pressure sensors 7. The plurality of sensors 7 are arranged at a specific interval to collect the pressure data on the hitting surface 5. The position sensing mark 8 of the golf ball 200 is printed on the surface of the induction patch 1. The position sensing mark 8 is used to identify the contact position data between the golf ball 200 and the hitting surface 5. The edge of the induction patch 1 is provided with a protruding easy - tear structure 9.

[0026] The control device 2 is provided on the golf club 3 and connected to the induction patch 1. An acceleration sensor 101 is provided inside the control device 2. The acceleration sensor 101 is used to measure the acceleration data of the golf club 3 so that the control device 2 generates training data based on the pressure data, contact position data, and acceleration data.

[0027] I. Induction Patch 1 The induction patch 1 is responsible for directly and accurately collecting the physical contact data between the golf ball 200 and the striking surface 5 of the club head 4 at the moment of hitting the ball. The induction patch 1 overcomes the limitations of passive indication or single and low-precision sensing in the prior art. By integrating an advanced active sensor array, it realizes the real-time and high-precision collection of information such as the position of the hitting point, contact shape, pressure distribution, and even micro-vibration and temperature rise.

[0028] In this embodiment, the induction patch 1 adopts a multi-layer composite material structure. The induction patch 1 includes a flexible substrate. The pressure sensor array 6 is provided on the flexible substrate. The active sensors are miniaturized and integrated inside the thin film through flexible electronic printing technology. This design not only ensures the performance of the sensors but also enables the entire induction patch 1 to have the characteristics of being flexible, ultra-thin, and wear-resistant, and can be directly attached to the club striking surface 5 to realize non-interfering perception of the golf hitting process.

[0029] In this embodiment, the position sensing identifier 8 includes text patterns representing different hitting results, such as Figure 3 shown as Figure 3 Three different-shaped induction patches 1 (a, b, c) are shown. The text patterns on the surface of the induction patch 1 include, for example, one or more of "Chunk", "Thin", "Hook", "Draw", "Fade", or "Slice". It can be understood that the shape and size of the induction patch 1 can be set according to actual needs.

[0030] Six commonly used golf shot path terms are printed on the surface of the induction patch 1, representing six different hitting results or error types: Chunk (hitting the ground first): It means that the club head 4 touches the ground first when hitting the ball, resulting in a short and powerless ball flight distance.

[0031] Thin (hitting the top or upper middle of the ball): It means that the club head 4 hits the top or upper middle of the ball when hitting the ball, and the flight trajectory of the ball is low and powerless.

[0032] Hook (slice for right-handed players): It means that the ball bends sharply to the left when flying (for right-handed players).

[0033] Draw: A ball that curves slightly to the left during flight, generally considered the ideal ball path (for right-handed players).

[0034] Fade (slight right fade): A ball that curves slightly to the right during flight, generally considered the ideal ball path (for right-handed players).

[0035] Slice: A shot that curves sharply to the right (for a right-handed player).

[0036] In this embodiment, each text pattern is equipped with a corresponding position sensor to automatically collect data on the contact position between the golf ball 200 and the striking surface 5. The text patterns are printed on the surface of the sensor patch 1, and their positions are carefully designed to correspond to the common landing points of different actual ball impact outcomes. These printed text patterns are not sensors themselves, but rather serve as visual "markers" or "reference points" to guide the user in identifying the impact area. The actual impact location is then identified through data collected by the underlying position sensor (e.g., the high-precision pressure sensor 7), which is then logically associated with the nearest text mark.

[0037] The position sensor is actually a logical association of partitions in the pressure sensor array, not an independent physical sensor. When the shot position falls within the logical area covered by the text pattern, the pressure sensor array 6 in that area is considered "activated." By identifying the activated sensors within the logical area, the corresponding text pattern is associated. Static printed text is given dynamic sensory meaning. Through precise logical partitioning, the dispersed pressure sensor 7 data is integrated into contact position data to automatically identify the shot position and associate it with a predefined ball path result. Each text pattern represents a specific hitting area covered by this pressure sensor array 6.

[0038] Compared to traditional shot sensor patches 1 that often use numbers or simple physical marks to indicate the shot point, which the user must interpret on their own, this embodiment prints golf terminology directly on the surface of the sensor patch 1, providing users with intuitive and professional shot result feedback.

[0039] In one implementation, the surface of the position sensing mark 8 is printed with brand names and positive phrases to visually form brand associations and provide emotional support to users, making the training process more interesting and providing positive feedback. Figure 4 As shown, Figure 4 Three sensing patches 1 of different shapes (a, b, c) are shown. The positive encouragement words on the position sensing mark 8 on the surface of the sensing patch 1 include, for example, one or more of “KEEP SWINGING!” and “OOPS!”.

[0040] In one implementation, the position sensing identifier 8 has a pattern or icon printed on its surface, including, for example, a trophy icon, a bear icon, and a hitting point bullseye. Cartoon patterns or icons can also be suitable for children to use.

[0041] Among them, the pattern and text information can be printed on the surface of the induction patch 1 together, and different colors or backgrounds can be used to facilitate quick distinction by the user. For example, a green bullseye can be printed in the sweet spot area, and a red cross can be printed in the miss area.

[0042] In one implementation, a micro electrochromic material or a thermochromic material is integrated on or inside the surface of the induction patch 1. Immediately after hitting the ball, triggered by an internal microcontroller or an external device, the color or transparency of certain text or background areas is changed. Exemplarily, an ink containing an electrochromic material (such as polyaniline, tungsten oxide) is printed or coated on the surface of the induction patch 1. By applying a weak current to the material, its color can be changed. When a hit is detected, according to the hitting result, the microcontroller can apply a voltage to a specific area to make it display different colors (such as green for a good ball and red for a miss). An ink containing a thermochromic pigment is printed. When the small local temperature rise generated at the moment of hitting the ball reaches a certain threshold, the pigment changes color. For example, when the sweet spot is hit, the text in this area will change color instantly. A low-power microcontroller and a micro power supply are integrated inside the induction patch 1 to drive these dynamic display materials. This dynamic display enhances the novelty and technological sense of the user experience, making the feedback more vivid and intuitive. Especially in rapid consecutive hitting practice, it can provide instant visual confirmation.

[0043] In one implementation, the induction patch 1 is usually a three-layer composite structure, and the total thickness is precisely controlled within 3.5 mm to ensure that it does not significantly affect the balance and hitting feel of the club.

[0044] Bottom layer (adhesive layer): A highly sticky and removable pressure-sensitive adhesive is selected to ensure that the induction patch 1 can be firmly adhered to the hitting surface 5 of the club under the impact of high-speed hitting, and at the same time, it can be easily torn off when the user replaces it, without leaving adhesive marks and protecting the club face. In terms of material selection, acrylate-based, rubber-based or silicone-based pressure-sensitive adhesives can be used, and a uniform and controllable viscosity is achieved through a precise coating process.

[0045] Middle layer (sensor integration layer): This is the core functional layer of the sensing patch 1. Ultra-thin flexible substrates such as polyimide (PI) film, polyethylene terephthalate (PET) film, or polyethylene naphthalate (PEN) film are used. Through thin-film printed electronics technology or semiconductor deposition processes, the pressure sensor array 6, micro-accelerometer array, and necessary signal leads are integrated on this layer. To ensure durability, especially impact resistance under high-intensity hitting impacts, high-toughness and tear-resistant polymer materials can be selected for this layer and precisely encapsulated. The encapsulation material can be a self-healing polymer or nanocomposite to form a thin film covering the sensor array, effectively resisting impacts, preventing sweat, dust, and moisture erosion, while maintaining the sensitivity of the sensors.

[0046] Surface layer (indicator and protection layer): A transparent and wear-resistant polymer film such as polycarbonate (PC) or polymethyl methacrylate (PMMA). Golf swing terms (such as Chunk, Thin, Hook, Draw, Fade, Slice) and hitting sweet spot markings are printed on the inner side of this layer (the contact surface with the middle layer). The outer surface is treated with anti-fouling, hydrophobic, and scratch-resistant properties to ensure that the printed information remains clearly visible for a long time without affecting the user's observation.

[0047] Through a unique material and layered design, the sensing patch 1, while being a consumable, has the active sensing ability that traditional passive indicator sensing patches do not have. Its ultra-thin, flexible, and impact-resistant characteristics solve the technical problem of integrating complex active sensors into consumables, significantly reducing the threshold and cost of high-precision hitting analysis, while enhancing the durability of the product and the user experience.

[0048] The pressure sensor array 6 inside the sensing patch 1 is the key to accurately capturing the hitting point and analyzing the contact shape.

[0049] In one implementation, as Figure 2 shown, the pressure sensor array 6 forms a two-dimensional sensing matrix through a densely arranged plurality of independent pressure sensors 7. When the golf ball 200 hits the sensing patch 1, the sensors in the pressure sensor array 6 will capture the pressure changes at different positions in real time, thereby reconstructing the pressure distribution map at the moment of hitting and accurately calculating the position and contact area of the hitting point. The ability to accurately capture the pressure distribution characteristics on the club face at the moment of high-speed hitting enables reliable acquisition of key data such as the position of the hitting point, contact shape, and force magnitude, laying a solid foundation for subsequent ball spin data inference and AI analysis.

[0050] In one implementation, the pressure sensor array 6 can be a highly sensitive flexible resistive sensor (FSR) or a flexible piezocapacitive sensor. The resistance value of the flexible resistive sensor changes with the applied pressure, and the magnitude of the pressure can be deduced by measuring the change in resistance. The advantages are simple structure and low cost. The capacitance value of the flexible piezocapacitive sensor changes with the applied pressure, and the magnitude of the pressure can be deduced by measuring the change in capacitance. The advantages are high sensitivity and fast response speed.

[0051] In practical applications, the advantages of both can be combined to form a hybrid array or selected according to specific requirements.

[0052] In this embodiment, the pressure sensor array 6 includes 34 circular pressure sensors 7, and the diameter of each pressure sensor 7 is 6 mm. These circular pressure sensors 7 are arranged in a uniform grid or hexagonal array in the core area of the hitting surface, and the distance between the center points is no more than 8 mm. This dense and uniform circular array arrangement aims to maximize the detection accuracy of the hitting point, while avoiding signal interference between sensors, ensuring high-resolution pressure data acquisition within a limited hitting area. Each pressure sensor 7 or each group of pressure sensors 7 in the pressure sensor array 6 leads the signal to the micro data interface at the edge of the sensing patch 1 through flexible printed circuit (FPC) technology. The FPC line uses a thin and highly conductive material, such as silver paste or copper foil, and is insulated and encapsulated to ensure the stability of signal transmission. To reduce the number of pins, a matrix scanning method can be used to independently read all sensors through row-column multiplexing.

[0053] In addition to the pressure sensor 7, in one implementation, a micro temperature sensor array, a micro strain sensor array or a micro piezoelectric thin film sensor is embedded or printed in the sensing patch 1. These multimodal sensors work together to capture additional physical information such as vibration, acoustic characteristics, temperature rise and deformation at the moment of hitting, so as to more accurately evaluate the hitting quality and energy transfer efficiency.

[0054] Micro piezoelectric thin film sensor: This sensor can be directly printed or deposited on a flexible substrate. Its principle is that when subjected to mechanical stress (such as hitting impact), charges will be generated. By capturing the vibration and acoustic characteristics of the club face at the moment of hitting, such as the frequency and amplitude of the shock wave, the "Contact Quality" of the hitting can be analyzed. For example, when hitting the sweet spot, the vibration and harmonic amplitude are small, while when hitting thin or thick, the vibration will be more intense and the frequency will be more complex. Its weak signal can be preprocessed by the micro AD converter inside the sensing patch 1 and then transmitted.

[0055] Micro temperature sensor array: Integrate or print a micro temperature sensor array (such as a thermistor or thermocouple array) near the pressure sensor array 6. During the moment of hitting the ball, the friction between the club face and the ball will generate a slight temperature rise. By monitoring the temperature rise distribution in the hitting area, the magnitude and distribution of the frictional force can be indirectly inferred, thereby assisting in judging the degree of slippage and energy transfer efficiency during the hit.

[0056] Micro strain sensor array: Measure the minute deformation of the club face during the moment of hitting the ball by printing or depositing strain resistive materials. The deformation data can directly reflect the magnitude and direction of the force on the club face, providing a direct basis for analyzing the mechanical vector information of the hitting impact.

[0057] Through the integration of multi-modal sensors, the dimension and accuracy of the club face data are significantly improved. It solves the problem that a single pressure sensor 7 is difficult to comprehensively evaluate the hitting quality. For example, it is difficult to distinguish whether the ball hits the sweet spot or just has a large pressure but an incorrect ball path based solely on pressure data. These additional physical information (vibration, acoustics, temperature, deformation) enable the AI model to more accurately judge the "solidity" of the hit, energy transfer efficiency, ball slippage, etc., thus providing more persuasive analysis and training suggestions. The integration of such multi-physical field sensors, especially miniaturizing them and placing them inside the consumable and highly impact-resistant thin film sensing patch 1, is a non-obvious innovation that poses extremely high requirements for materials, structures, and manufacturing processes.

[0058] In one implementation, the sensing patch 1 provides a certain self-powered ability to reduce the dependence on the control device 2 and improve the independence and reliability of the sensing patch 1. Specifically, utilize the huge impact energy between the golf ball 200 and the sensing patch 1 during the moment of hitting the ball, and convert it into electrical energy through the piezoelectric effect or triboelectric effect. The collected energy can be used to drive the microcircuits inside the sensing patch 1, such as the unique ID chip, or assist in signal transmission, thereby partially or fully realizing the self-power supply of the sensing patch 1. Integrate a micro piezoelectric energy harvesting unit in the flexible substrate of the sensing patch 1. Piezoelectric polymer films such as PVDF (polyvinylidene fluoride) or flexible composite structures of piezoelectric ceramic materials (such as PZT) can be used. These materials will generate voltage when subjected to the hitting impact, and convert it into DC electrical energy through a rectifying and energy storage circuit and store it in a micro capacitor or thin film battery. Design a triboelectric nanogenerator (TENG) structure in the contact layer or intermediate layer of the sensing patch 1. When the golf ball 200 rubs against or separates from the surface of the sensing patch 1, charges are generated through the triboelectrification effect of the materials and collected. For example, polymer films with different triboelectric sequences can be stacked. The collected energy is stored in a micro solid-state capacitor, thin film battery, or ultra-thin rechargeable lithium-ion battery. Cooperate with an ultra-low power consumption power management circuit to ensure efficient energy utilization and be able to power the sensors and communication chips inside the sensing patch 1.

[0059] The energy harvesting and self - powering characteristics introduced in this embodiment break through the limitation that existing consumable induction patches 1 usually do not have an active power source. It greatly improves the independence and reliability of the induction patch 1, reduces the energy consumption of external batteries, extends the device's battery life, and even enables the complete self - powering of the induction patch 1 in specific scenarios. This is not only an innovative application of energy technology in the field of consumable sensors, but also brings a revolution to the energy efficiency improvement of the entire system.

[0060] In one implementation, the flexible circuit inside the induction patch 1 is an addressable matrix, enabling the external control device 2 to selectively activate or disable specific sensor areas in the array and adjust the sampling frequency. It can dynamically optimize data collection according to the club type, hitting characteristics, or user preferences. For example, when the user uses a wood club (driver), the hitting area is usually larger, and the control device 2 can activate a larger range of sensors in the central area of the induction patch 1 through software to improve the overall coverage rate. When using an iron club or a putter, the hitting sweet spot area is smaller, and the control device 2 can focus on the smaller sweet spot area and increase the sampling density in this area to capture more detailed hitting point information. Dynamically adjust the sampling frequency of the sensors according to the swing speed or hitting characteristics. When swinging at a high speed, increase the sampling frequency to capture instantaneous details; when practicing at a low speed, reduce the sampling frequency to save power. Allow the user to select the currently used club type in the mobile phone APP, or let the AI infer the user's habits based on historical data, so as to automatically configure the working mode of the sensor array.

[0061] Traditional sensor arrays are usually fixedly configured. This embodiment dynamically adjusts the behavior of hardware sensors through software - defined means, can optimize data collection for different clubs and hitting characteristics, improve data validity and processing efficiency. This innovative method improves the flexibility and intelligence level of the system, solves the problem that the performance of fixed arrays is limited in different application scenarios, which has not been achieved in the prior art.

[0062] In one implementation, by selecting highly tough, impact-resistant materials and employing advanced packaging techniques, the sensor patch 1's wear and tear resistance under high-intensity impacts is significantly improved, thereby extending its service life and reducing replacement frequency. The middle layer (sensor integration layer) is constructed from a highly tough polymer film, effectively absorbing and dissipating the impact of the ball. A highly elastic, wear-resistant, transparent polymer protective layer is added above the sensor array, effectively deforming and recovering upon impact to protect the internal sensitive components. A self-healing polymer coating can be used to automatically repair minor scratches or abrasions. The sensor and FPC circuitry are tightly encapsulated using a multi-layer film lamination process, creating a sealed structure that prevents sweat, dust, and moisture from corroding the internal circuitry, further enhancing durability. The surface layer can be hardened or nano-coated to enhance scratch and abrasion resistance. This significantly improves the sensor patch's durability and effectively reduces its replacement frequency. This not only saves users money but also reduces electronic waste, enhancing product sustainability. This technology, which emphasizes improved durability based on consumables, has not been clearly disclosed in existing technologies. It is an innovation that balances cost, performance and user experience.

[0063] In one implementation, the sensor patch 1 is connected to the control device 2 via a customized, ultra-thin flexible cable. This connection ensures high-speed, stable digital signal transmission, adapts to the dynamic deformations of a golf swing, and is easily plugged in and replaced. For example, an extremely narrow, thin flexible flat cable (FFC) extends from the side of the sensor patch 1. This cable utilizes multi-layer printed circuit technology to centrally route the signals from the sensor array. Its thickness is kept below 0.1 mm, and its width is designed to meet connector requirements, ensuring a seamless connection with the main body of the sensor patch 1.

[0064] In one implementation, a protruding structure is designed on the edge of the sensing patch 1 that is easy to grasp and tear off, so that the user can easily and quickly replace the sensing patch 1 without the need for additional tools or the worry of damaging the sensing patch 1. Figures 1-4As shown, a protruding small piece is die-cut at the upper right corner of the induction patch 1 (or the position can be adjusted according to user habits), resembling a "small ear". This "small ear" is usually semi-circular, oval or trapezoidal, with appropriate dimensions (for example, the length of the protruding part is about 5 - 10 mm, and the width is about 3 - 5 mm), ensuring that the user's finger can easily pinch it. Through the precision die-cutting process, the "small ear" part is connected to the main body of the induction patch 1 at the edge, but can be cleanly and smoothly separated or torn from the main body when the user applies a pulling force, without leaving residues or tearing to unintended parts. At the root of the "small ear", a preset tear line or weak adhesive area can be designed to further simplify the tearing process. This improves the user-friendliness of the induction patch 1. When there is no protruding part on the traditional induction patch 1, it may be inconvenient for users to tear it off, and sometimes it will be torn or leave residual glue that is difficult to remove. This "small ear" design, although seemingly tiny, greatly simplifies the replacement process of the induction patch 1, improves the fluency and convenience of the user experience, and is an embodiment of paying attention to details and improving user satisfaction in product design.

[0065] II. Control device 2 The control device 2 integrates a high-performance main control chip, multiple independent sensors, a power management module and a wireless communication module to form a compact and low-power data processing unit. It can synchronously process the pressure data from the induction patch 1 and the swing data built into itself, providing a complete data stream for subsequent in-depth analysis.

[0066] In one implementation, the main control chip selects a low-power and high-performance microcontroller. It is used to receive and process the pressure sensor 7 data from the induction patch 1; receive and process the acceleration data of the built-in acceleration sensor 10 itself; run a preliminary algorithm for data preprocessing and feature extraction; manage Bluetooth communication and other wireless communication modules; control power management and device status. The acceleration sensor 10 is used to accurately measure the instantaneous motion data of the golf club 3, including swing speed, swing path and hitting angle. It works in coordination with the pressure sensor 7 in the induction patch 1 to provide a comprehensive motion state at the moment of hitting the ball. The power management module is responsible for battery charging management, power monitoring and low-power mode control to extend the device's battery life. The storage module is used to cache sensor data.

[0067] In one implementation, the control device 2 is wirelessly connected to the induction patch 1 in a wireless manner. The control device 2 integrates a Bluetooth Low Energy (BLE) module to support real-time communication with the mobile phone APP over a short distance. Alternatively, the control device 2 integrates a Wi-Fi / 4G / 5G module to support data synchronization with the cloud server over a long distance, achieving flexible and efficient data transmission.

[0068] In one implementation, the control device 2 is wirelessly connected to the induction patch 1 in a wireless manner.

[0069] Exemplarily, a customized ultra-thin flexible cable is adopted. For example, the flexible cable led out from the side of the induction patch 1 is directly connected to a small and robust connector. Alternatively, a dedicated pluggable interface is adopted. For example, a dedicated pluggable interface matching the connector is provided on the control device 2. This interface is designed to be dust-proof, waterproof, and have a certain locking mechanism to ensure that the connection does not loosen during a violent swing. The interface adopts a low-impedance and high-contact-reliability design to ensure the integrity of signal transmission. Alternatively, through this wired connection, a high-speed serial communication protocol (such as high-speed digital interfaces like SPI, I2C, etc.) can be adopted to maximize data throughput and achieve real-time and lossless transmission of the original sensor data.

[0070] It can be understood that although wireless connection is convenient, in some scenarios with extremely high requirements for stability or extreme transmission speed, wired connection can provide lower latency and higher reliability. In this embodiment, a customized wired interface is adopted to ensure a stable and efficient physical connection between the induction patch 1 and the control device 2. It is applicable to professional training or test scenarios with extremely high requirements for data integrity and real-time performance. It makes up for the possible latency or interference problems of wireless transmission, provides users with one more option, and enhances the applicability and reliability of the product.

[0071] In this embodiment, the acceleration sensor 10 is a three-axis microelectromechanical system (MEMS) accelerometer. This sensor is used to accurately measure the instantaneous motion data of the golf club 3, including swing speed, swing path, and hitting angle. It works in cooperation with the pressure sensor 7 in the induction patch 1 to provide a comprehensive motion state at the moment of hitting the ball.

[0072] In one implementation, a multi-color LED indicator is integrated on the control device. Through different colors, flashing frequencies, or on / off states, key information such as the power state, connection state, and data transmission state of the device is intuitively displayed. To help users quickly understand the working state of the control device through intuitive visual feedback.

[0073] In one implementation, the control device adopts a lightweight and compact housing design and is equipped with a flexible mounting structure, enabling it to stably clamp or tie to different types of golf clubs 3 without affecting the weight balance and swing feel of the club. To ensure the convenience of installation and use of the control device, without affecting the golfer's swing, and to adapt to different training scenarios.

[0074] In one implementation, the mounting structure is a clamping type. For example, a adjustable fixture is designed that can firmly clamp on the club shaft and is suitable for clubs with different diameters. The inner side of the fixture can be lined with anti-slip rubber to increase friction and protect the shaft.

[0075] In one implementation, the installation structure is a bundling type. For example, elastic straps or Velcro are provided to tightly bundle the device at a specified position on the golf club. This method is applicable to golf clubs with irregular shaft shapes.

[0076] As Figure 5 shown, an embodiment of the present application further provides a golf automatic training method. This method is applied to the above-mentioned golf automatic training device 100 and is executed by the control device 2. The method includes the following steps: S1. The control device 2 receives pressure data from the sensing patch 1, and the pressure data is collected based on the pressure sensor array 6.

[0077] S2. The control device 2 receives contact position data from the sensing patch 1, and the contact position data is identified based on the sensing identifier.

[0078] S3. The control device 2 generates training data based on the pressure data, contact position data, and the collected acceleration data.

[0079] It can be understood that before executing this method, it is first necessary to attach the sensing patch 1 to the striking surface 5 of the golf club 3 and install the control device 2 on the golf club 3 to obtain training data based on the sensing patch 1 and the control device 2.

[0080] It should be noted that the order of execution of steps S1 and S2 is not limited.

[0081] In one implementation, the control device 2 receives the original data stream of the pressure sensor 7 from the sensing patch 1 through a customized interface, and at the same time, the internal acceleration sensor 10 continuously collects motion data.

[0082] In one implementation, the control device 2 performs timestamp synchronization and alignment on the data from different sensors to ensure that all data points accurately correspond on the time axis, laying a foundation for multi-sensor fusion analysis.

[0083] In one implementation, the control device 2 performs digital filtering (such as Kalman filtering, low-pass filtering) on the original data to remove noise and interference. Sensor calibration is performed to eliminate bias and drift.

[0084] In one example, the control device 2 preliminarily estimates the geometric center point of the contact between the ball and the club face according to the data of the pressure sensor array 6, and extracts the maximum pressure value recorded on the sensing patch 1 at the moment of hitting the ball. Then, the control device 2 identifies the peak value of the data of the acceleration sensor 10 during the swing, which represents the swing speed and force. The control device 2 preliminarily calculates the peak swing speed and swing angle based on the acceleration data and combined with integral operation. The control device 2 preliminarily analyzes the shape of the pressure distribution, such as circular, elliptical or irregular. Finally, the control device 2 packs the data that has been preliminarily processed and feature-extracted into a structured data packet for convenient subsequent transmission.

[0085] In one implementation, the control device 2 accurately restores the pressure distribution map on the club face at the moment of hitting the ball based on the data of the pressure sensor array 6, using image processing (such as edge detection, connected component analysis) and pattern recognition algorithms (such as convolutional neural network CNN), and calculates the accurate hitting point position and contact area.

[0086] In one implementation, the control device 2 infers the backspin and sidespin data of the ball according to the contact position data, pressure data, acceleration data, combined with the physical model of the impact of the golf ball 200 (such as collision dynamics, friction mechanics), and machine learning algorithms (such as regression model or support vector machine).

[0087] In one implementation, the control device 2 is built-in with a gyroscope. The control device accurately calculates the swing speed, peak club head speed, swing path and club face angle based on the acceleration data and gyroscope data through kinematic and dynamic algorithms (such as Euler angle integration, quaternion fusion).

[0088] In one implementation, the control device 2 combines the hitting point, ball rotation data, initial velocity, launch angle, and external environment parameters (such as wind speed, humidity, altitude, etc., which can be obtained through a third-party API), and predicts the flight trajectory and landing point of the ball through a physical trajectory model and machine learning algorithms.

[0089] By building a powerful data processing and analysis ability, comprehensive hitting parameters can be extracted from multi-dimensional and high-precision data. In particular, the indirect inference of ball rotation and the accurate analysis of the hitting point are incomparable to the existing technologies, providing a solid data foundation for subsequent AI intelligent diagnosis and training suggestions.

[0090] In one implementation, the control device 2, based on big data analysis and machine learning models, can identify the swing defects of the golfer and the reasons for hitting deviations, and combine golf teaching theories and a preset training library to intelligently generate targeted and step-by-step training suggestions. Through the machine learning model, the control device 2 can accurately identify the deviations in the hitting action, such as: Hitting point deviation: Thin (hitting the top or upper middle of the ball), Chunk (hitting the club head first), etc.

[0091] Club face angle issues: Opening or closing the club face causes hooks or slices.

[0092] Swing path problems: Inside-out, outside-in problems of the club head path.

[0093] In one implementation, the control device 2 creates a unique batting model for each user, analyzes their unique batting habits, strengths and weaknesses, and tracks their progress curve. Based on the AI diagnosis results, combined with the user's historical data and training goals, it intelligently generates one-on-one, quantifiable training suggestions, which can include text, pictures, animation demonstrations, and other forms. For example: "Your hitting point is towards the heel of the club. I suggest you adjust your stance and move your center of gravity slightly forward by 0.5 cm." "Your clubface is slightly open at impact, so try to square it up by adding more of a follow-through at the end of the swing." "Your swing speed is too fast, resulting in an unstable ball path. I suggest you slow down the pace and focus on the hitting point." In one implementation, the control device 2 can process physiological data collected from physiological sensors worn by the user in real time to identify fatigue, muscle status (e.g., tension, muscle activation pattern), and energy expenditure. For example, a wearable device such as a heart rate bracelet, electromyography sensor, or sweat sensor worn by the user can connect to the control device via Bluetooth or NFC to transmit physiological data in real time.

[0094] The automated golf training device and training method provided in this embodiment achieve significant technical effects in multiple dimensions: 1. Through a consumable, high-density pressure sensor array6 and external multi-sensor devices, precise, multi-dimensional, real-time data collection is achieved for impact point location, pressure distribution, contact geometry, swing speed, acceleration, clubface angle, and even ball spin and friction. This data far exceeds existing technology and lays the foundation for in-depth analysis.

[0095] 2. Introducing artificial intelligence to deeply analyze massive amounts of data not only accurately identifies subtle deviations in strokes but also provides one-on-one, quantifiable, and dynamically adjusted training recommendations based on individual differences. This addresses the challenge of personalized instruction in traditional golf instruction and significantly improves training efficiency.

[0096] 3. Integrating high-precision sensing functions into the consumable sensing patch 1 significantly reduces the threshold and cost of high-precision stroke analysis. The intuitive text / pattern indication and easy-to-tear design on the surface of the sensing patch 1 enhance the convenience and user experience of the product.

[0097] 4. An end-to-end data processing and transmission chain is constructed from the front-end sensing patch 1 to the external device, then to the mobile phone APP and the cloud AI server. Hierarchical processing, wireless transmission, and efficient power management ensure the real-time nature, stability of the data, and the reliability of the system.

[0098] 5. Effectively solve the pain points of existing stroke training products in terms of insufficient data accuracy, untimely feedback, lack of personalized guidance, high cost, inconvenient replacement, etc., and provide a brand-new, efficient, and intelligent training solution for golf enthusiasts.

[0099] For those skilled in the art, it is obvious that this application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of this application. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of this application is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in this application. Any reference signs in the claims should not be regarded as limiting the claims involved. The above content is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A golf automatic training device, characterized in that, Comprising: An induction patch, attached to the striking surface of the club head of a golf club. A high-density pressure sensor array is integrated inside the induction patch. The pressure sensor array includes multiple pressure sensors, and the multiple sensors are arranged at a specific spacing for collecting pressure data on the striking surface. A position sensing mark of a golf ball is printed on the surface of the induction patch, and the position sensing mark is used to identify the contact position data between the golf ball and the striking surface. A protruding easy-to-tear structure is provided at the edge of the induction patch; A control device, arranged on the golf club and connected to the induction patch. An acceleration sensor is provided inside the control device, and the acceleration sensor is used to measure the acceleration data of the golf club, so that the control device generates training data based on the pressure data, the contact position data, and the acceleration data.

2. The automatic golf training device according to claim 1, wherein, The induction patch is a multi-layer composite structure, and the induction patch includes a flexible substrate, and the pressure sensor array is arranged on the flexible substrate.

3. The golf automatic training device according to claim 1, characterized in that, The pressure sensor array includes multiple circular pressure sensors with a diameter of 6 mm, and the centers of the pressure sensors are arranged at a spacing not greater than 8 mm.

4. A golf automatic training device according to claim 1, characterized in that, The position sensing mark includes text patterns representing different hitting results, and the text patterns include, for example, one or more of "Chunk", "Thin", "Hook", "Draw", "Fade", or "Slice".

5. The golf automatic training device according to claim 4, characterized in that, Each of the text patterns is provided with a corresponding position sensor for automatically collecting the contact position data between the golf ball and the striking surface.

6. The golf automatic training device according to claim 1, characterized in that, The pressure sensor is a flexible piezoresistive sensor or a flexible capacitive sensor.

7. An automated golf training device according to claim 1, characterized in that, The acceleration sensor is a three-axis microelectromechanical system (MEMS) accelerometer.

8. A golf automatic training device according to claim 1, characterized in that, The control device is electrically connected to the induction patch by a wired method.

9. According to the golf automatic training device according to claim 1, the control device is wirelessly connected to the induction patch by a wireless method.

10. A golf automatic training method, characterized in that, The method is applied to a golf automatic training device, and the golf automatic training device includes: An induction patch, attached to the striking surface of the club head of a golf club. A high-density pressure sensor array is integrated inside the induction patch. The pressure sensor array includes multiple pressure sensors, and the multiple sensors are arranged at a specific spacing for collecting pressure data on the striking surface. A position sensing mark of a golf ball is printed on the surface of the induction patch, and the position sensing mark is used to identify the contact position data between the golf ball and the striking surface. A protruding easy-to-tear structure is provided at the edge of the induction patch; A control device, arranged on the golf club and connected to the induction patch. An acceleration sensor is provided inside the control device, and the acceleration sensor is used to measure the acceleration data of the golf club, so that the control device generates training data based on the pressure data, the contact position data, and the acceleration data; The golf automatic training method includes: The control device receives the pressure data from the sensing patch, and the pressure data is acquired based on the pressure sensor array; The control device receives the contact position data from the sensing patch, and the contact position data is identified based on the sensing identifier; The control device generates the training data based on the pressure data, the contact position data, and the acquired acceleration data.

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