A method for fine tuning a push rod and manufacture thereof

Abstract

Described herein is a method for fine-tuning a putter and its manufacture. More specifically, an application (App) is used in conjunction with an algorithm for static and dynamic data point analysis to best determine how the properties of a putter need to be set to maximize the consistency of a user's putter ball striking and roll. Custom putters are made to order for each individual based on the output data from the application and wherein the fitting system of the putters is multi-adjustable.

Description

Technical Field

[0001] This article describes a method for fine-tuning a putter and its manufacturing. More specifically, an application, along with algorithms, is used for static and dynamic data point analysis to best determine how the putter's attributes need to be set to maximize consistency between the user's putter stroke and ball roll. Based on the application's output data, customized putters are tailored and manufactured for each individual, and the fitting system for these putters is multi-adjustable. Background Technology

[0002] In the modern world, an increasing number of consumer products are being customized to better suit the task at hand. This is becoming more prevalent and commercially viable as technology continues to advance rapidly. Individuals seeking better performance and results have turned to a “best-fit” approach rather than a “one-size-fits-all” method. For example, in the golf equipment industry, manufacturers now offer a variety of fitting applications to their consumers to improve their equipment choices. By customizing equipment according to an individual golfer's swing type, skill level, and other factors, the individual golfer knows he or she is being given the best chance of success on the course.

[0003] However, the available customization technologies and tools are somewhat limited because they primarily focus on analyzing what the club is doing based on gyroscope measurements or sensors. These technologies do not lead to specific fitting processes or customized fitting systems. For example, Ping Golf has developed the "iPING™" putting app, designed to focus on measurable values ​​of a user's putting strokes and improve their consistency through features including: putting handicap, putting practice, and the use of the iPING™ cradle. The putting handicap (PHcp) function analyzes a series of five putts to determine a consistency score, which is equivalent to mimicking the handicap of a traditional handicap system (lower is better). Each five-putt session is stored for comparison as the user challenges themselves to lower their PHcp. After a session based on the user's PHcp, PING provides recommendations for the type of putter suitable for the user's shot type (straight, slightly curved, or very curved), and also suggests appropriate loft angles and face angles. In practice mode, users can also identify aspects of their putting lacking consistency, such as tempo and closing angle (the amount of time the clubface opens or closes upon impact). The iPING™ app works with iPING... TM The bracket works in conjunction with the user's mobile device and clamps it onto the putter shaft just below the grip.

[0004] However, there are some drawbacks associated with the above applications. First, it relies on the user who owns the technology, and even though it uses measurements to analyze and recommend equipment, it only analyzes club movement and doesn't include input about the player's static or other tendencies (preferences). Furthermore, the PING app uses the iPING™ holder, as mentioned above, which holds the user's mobile device and clamps it to the putter shaft just below the grip. This device / holder makes the putter heavier and affects the overall feel of the putter when used.

[0005] Srixon Golf has developed an application called Z Swing Analyzer™, which links to Swingbyte. ®Sensors. For each swing, the application's proprietary formulas analyze more than 12 key variables, such as swing path, efficiency, impact angle, and attack angle. Although the Srixon application uses sensor integration to measure, analyze, and recommend equipment, as mentioned above, it only analyzes club movement and does not have input about the golfer's static or predispositional characteristics.

[0006] TaylorMade Golf has developed an interactive putter and app with real-time shot analysis, including a BLAST motion sensor housed within the grip. The app automatically syncs shot data directly to the mobile application, allowing users to analyze metrics and refine their putting. However, TaylorMade Interactive is primarily a player-driven improvement technology and does not utilize data to help fitters recommend products.

[0007] As can be seen from the above, there is a need for applications based on the analysis of technology, static position, and dynamic moment, which not only measure the golfers themselves, but also record important information about the club fitting process for recommending and manufacturing their customized / made-to-order equipment and how golfers respond to a given equipment specification and / or at least provide useful options for the public.

[0008] Further aspects and advantages of the methods, apparatus, and their manufacture will become apparent from the following description, which is given by way of example only. Summary of the Invention

[0009] This article describes a method for fine-tuning putters and their manufacturing. More specifically, an application (App) along with algorithms is used for static and dynamic data point analysis to best determine how putter attributes need to be set to maximize consistency between the user's putter strike and ball roll. Custom putters are made and manufactured for each individual based on the output data of the application, and the fitting system for said putter is multi-adjustable.

[0010] In a first aspect, a method for fine-tuning a pushrod is provided, comprising the following steps:

[0011] a) Input user data into the application;

[0012] b) Collect additional data, which is obtained based on measurements of static and dynamic motion and computer analysis and / or other measurement variables obtained from optional sensors, wherein the static and dynamic motion is preferably obtained from a high-speed camera;

[0013] c) Package and collate the data within the application;

[0014] d) Output the data; and

[0015] e) Analyze and apply at least one algorithm to the dataset to best determine how the properties of the putter are associated with predetermined algorithmic values ​​for putter settings to maximize consistency between the user's shot and roll during putts, and to determine the correct specifications of the user's putter.

[0016] In the second aspect, fine-tuned or customized pushers are provided for each individual, based on the output data of the methods and applications described herein.

[0017] In a third aspect, an adapter system for manufacturing multiple adjustable push rods is provided, the adapter system comprising:

[0018] shaft;

[0019] Putter head;

[0020] Adjustable and / or interchangeable striking face plates; and

[0021] The adjustable / interchangeable panel maintains the loft-to-sole relationship of the putter head, so that when the loft of the striking panel is adjusted, the putter head remains on the neutral axis of the shaft.

[0022] The aforementioned advantages include an application for collecting and processing static and dynamic data, as well as user preferences and attributes, to best determine the correct specifications for their putter. This application applies and compares algorithmic values, rateing them to extreme scales based on body and club position, and, combined with high-speed camera and computer analysis, optimally determines how putter attributes need to be set to maximize consistency in impact and ball roll during putting. Based on the application data and analysis, putters can be custom-made and manufactured for each individual. The putter fitting system is multi-adjustable, not only dexterity-neutral (suitable for both left-handed and right-handed golfers), but also uses adjustable / interchangeable panels to maintain the loft relationship between the putter head and the sole when adjusting the loft angle of the strike panel. Attached Figure Description

[0023] Further aspects of the method, apparatus, and manufacture thereof will become apparent from the following description, given by way of example only and with reference to the accompanying drawings, in which:

[0024] Figure 1 An overview flowchart of a fine-tuned app is shown;

[0025] Figure 2 An exemplary screenshot of the main page 1 of the tweaking application is shown;

[0026] Figure 3 An exemplary screenshot of the player information page 2 of the fine-tuning application is shown;

[0027] Figure 4 An exemplary screenshot of the initial settings analysis page 3 of the fine-tuning application is shown;

[0028] Figure 5 An exemplary screenshot of the initial settings photo page 4 of the fine-tuning application is shown;

[0029] Figure 6 An exemplary screenshot of the settings category (Hand Position) page 5 for fine-tuning the application is shown;

[0030] Figure 7 An exemplary screenshot of page 6 of the settings category (Shaft to Forearmplane) in the fine-tuning application is shown;

[0031] Figure 8 An exemplary screenshot of the settings category (Eyeline) page 7 for fine-tuning the application is shown;

[0032] Figure 9 An exemplary screenshot of the settings category (Posture) page 8 for fine-tuning the application is shown;

[0033] Figure 10 An exemplary screenshot of the initial settings photo (Capture Face ONimage) page 9 of the fine-tuning application is shown;

[0034] Figure 11 An exemplary screenshot of the settings category (Ball position Face On) page 10 for fine-tuning the application is shown;

[0035] Figure 12 An exemplary screenshot of the settings category (Shaft lean) page 11 of the fine-tuning application is shown;

[0036] Figure 13 An exemplary screenshot of the settings adaptation (Head, Length and Lie) page 12 of the fine-tuning application (top of the screen) is shown.

[0037] Figure 14 An exemplary screenshot of the settings adaptation (Dynamic Assessment) page 12 (at the bottom of the screen) for fine-tuning the application is shown.

[0038] Figure 15 An exemplary screenshot of a photo showing the fine-tuning settings of the Down the Line from page 13 of the fine-tuning application is shown.

[0039] Figure 16A and Figure 16B An exemplary screenshot of the fine-tuning settings photo page 14 of the fine-tuning application is shown to re-analyze the position with the recommended push-stick configuration performed from pages 4-11 (pages 15-21 of the application).

[0040] Figure 17A and Figure 17B An exemplary screenshot of the fine-tuning application's pusher configuration page 23 is shown;

[0041] Figure 18 An exemplary execution summary, in CSV format, illustrates the user's putter adaptation details and specifications.

[0042] Figure 19 A brief, exemplary PDF summary illustrating the user's pushrod adaptation details and specifications;

[0043] Figure 20 An exemplary comprehensive email summary illustrating the user's pushrod adaptation details and specifications;

[0044] Figure 21 An exemplary adaptation algorithm (length) for data analysis in an application is illustrated.

[0045] Figure 22 An exemplary adaptation algorithm (pole bottom loin) for data analysis in an application is illustrated.

[0046] Figure 23 An exemplary adaptation algorithm (hosel) for data analysis in an application is illustrated.

[0047] Figure 24 An exemplary adaptation algorithm (pole face tilt) for data analysis in an application is illustrated.

[0048] Figures 25A-25D An exemplary adaptation algorithm (club head selection) for data analysis in an application is illustrated.

[0049] Figure 26 An exemplary adaptation algorithm (club head weight) for data analysis in an application is illustrated.

[0050] Figure 27 An exemplary diagram is shown for configuring the clubhead weight relative to the shaft neck.

[0051] Figure 28 An exemplary adapter system and adjustable component for a push rod manufactured according to the data output of an application are illustrated;

[0052] Figure 29 An exemplary perspective alignment implementation of a push rod manufactured based on the data output of an application is illustrated;

[0053] Figure 30 An exemplary putter head implementation with an adjustable center of gravity (COG) manufactured according to the data output of the application is illustrated;

[0054] Figures 31A-31C An exemplary strike face on the strike panel of a putter head implementation with variable milling depth is illustrated; A) flat toe-to-heel speed milling (square stroke); B) faster toe or high spin rate milling (push stroke); C) passive or negative spin created based on application data output (cut stroke).

[0055] Figures 32A-32E A top view illustrating an exemplary putter head implementation with variable milling depth is shown; A) a conventional square putter face (the surface is completely flat); B) a bulge putter face (correcting pull misses off toe strikes and push misses off heel strikes); C) a negative bulge putter face (correcting pull misses off toe strikes and push misses off heel strikes); D) a negative bulge in the heel (suitable for putters with over-rotate, heel strike, and pull misses); and E) a negative bulge in the toe manufactured according to application data output (suitable for putters with passive spin, toe strike, and pull misses); and

[0056] Figure 33 An exemplary screenshot shows optional player information for a midpoint drill based on a fine-tuning application. Detailed Implementation

[0057] As described above, this paper describes a method for fine-tuning putters and their manufacturing. More specifically, an application (App) along with algorithms is used for static and dynamic data point analysis to best determine how putter attributes need to be set to maximize consistency in the user's putter impact and ball roll. Custom putters are made and manufactured for each individual based on the output data of the application, and the fitting system for said putter is multi-adjustable.

[0058] For the purposes of this specification, the term “approximately” or “about” and its grammatical variations mean a quantity, level, degree, value, number, frequency, percentage, size, size, quantity, weight, or length that varies by up to 30%, 25%, 20%, 15%, 10%, 9%, 8%, 7%, 6%, 5%, 4%, 3%, 2%, or 1% relative to a reference quantity, level, degree, value, number, frequency, percentage, size, quantity, weight, or length.

[0059] The term “basically” or its grammatical variations refer to at least about 50%, such as 75%, 85%, 95%, or 98%.

[0060] The term “includes” and its grammatical variations should have an inclusive meaning—that is, the term will be considered to include not only the listed parts that are directly mentioned, but also other unspecified parts or elements.

[0061] The term “fine-tuned” or its grammatical variations refer to minor adjustments to the putter to be customized and tailored to the individual user to achieve the best or desired performance, thereby maximizing the consistency of the shot and the ball.

[0062] The term "algorithm" should be understood as a set of manual and / or computer-executable procedures or instructions to be followed in computation or other problem-solving operations.

[0063] In a first aspect, a method for fine-tuning a pushrod is provided, comprising the following steps:

[0064] a) Input user data into the application;

[0065] b) Collect additional data, which is obtained based on measurements of static and dynamic motion and computer analysis and / or other measurement variables obtained from optional sensors, wherein the static and dynamic motion is preferably obtained from a high-speed camera;

[0066] c) Packing and organizing the data within the application;

[0067] d) Output the data; and

[0068] e) Analyze and apply at least one algorithm to the dataset to best determine how the properties of the putter are associated with predetermined algorithmic values ​​for putter settings to maximize consistency between the user's shot and roll during putts, and to determine the correct specifications of the user's putter.

[0069] The application can be used to identify and report a golfer’s preferences and how these can affect their equipment choices, particularly their choice of putter.

[0070] In a preferred embodiment, the application may allow the user to capture and analyze specific parameters, which may include, but should not be considered as limited to, any of the following: wrist-to-ground measurement results, height, eyedominance, current putting length, aim tendency, miss tendency, clubface rotation (rotation rate), posture (line of sight, hand position relative to shoulder, relative angle between shaft and forearm, amount of spin angle), ball lie front, shaft tilt front, roll launch and spin, and direction of impact.

[0071] Preferably, data collected from the parameters described above, with each data point having a value, is used in the algorithm to determine the correct putting specification for the golfer. It is also envisioned that within the application, the user can adjust the specification and then report which choice achieved the desired result.

[0072] In this way, a putter can be manufactured that results in specifications different from the standard. The inventors have found that most golf shops are likely to end up with a 35" putter, a 70-degree loft, a 4-degree face, and a 350-gram head weight, but this is unlikely to be optimal for most golfers.

[0073] In a preferred embodiment, the application can be based on an analysis of recommendations regarding technology, static position, dynamic movement, and equipment. In this way, the application not only measures the golfer themselves but can also record insightful information about the adaptation process and how the golfer can respond to a given putting specification.

[0074] As described above, the application can examine both static and dynamic analyses, which can be primarily visual. However, this should not be considered limiting, as the application can conceivably be associated with other techniques used for data point analysis. In this way, other techniques such as MatLab and / or Quintic Ball Roll research systems, high-speed cameras, computer analysis, etc., can be utilized to compare with the specific characteristics of these data point locations for use with the algorithm. In this way, the application can examine body / club positions and evaluate them as extreme scales, which can then provide values ​​for the algorithm.

[0075] The ability to accurately determine putter specifications for individuals or users can be derived from a consistency analysis of datasets of grouped data from golfers, where the golfers' preferences can be determined. Grouped data can be data formed by aggregating individual observations of a variable into groups, making the frequency distribution of these groups a convenient means of generalizing or analyzing the data.

[0076] When reviewing the putting techniques of a range of golfers, one can see a multitude of different styles and tendencies, making it seem difficult to organize the variables. However, the inventors have developed an innovative solution in the form of an application and an associated algorithm. This application can evaluate each style or tendency, allowing it to determine the correct putting fit somewhere within a predetermined range—whether it is isolated or uncommon—to a fit that can be more standardized and idealized in terms of parameters.

[0077] Without being bound by theory, the application can utilize algorithms based on statistical analysis derived from the binomial distribution. The binomial distribution can be derived from the Galton board (also known as the Quincunx)—a physical model of the binomial distribution that exemplifies the central limit theorem; when you add up independent random variables, their sum tends towards a normal distribution. Furthermore, in this way, the application can utilize grouped data collected and analyzed from golfers to assist consumer-driven research. For example, original equipment manufacturers (OEMs) of golf putters typically manufacture them with a standard shaft length that can vary between 34 and 35 inches. However, based on grouped data collected from golfers and input into the application, it can be determined that the most common or median shaft length that golfers should use is approximately 32 inches. With this new insight, it is assumed that OEMs should at least manufacture "off-the-shelf" putters with a shaft length of 32 inches. This allows them to save on manufacturing costs and target sales of putters with shaft lengths suitable for most golfers around a normal distribution curve. It should be understood that this analysis can also be applied to shaft weight, clubhead and hosel configurations, etc. Advantageously, this type of application data collection and analysis contrasts with current sales-based research, where manufacturers can allocate the size / configuration of their club manufacturing based on actual sales. For example, an OEM might manufacture more 34- to 35-inch putters based on sales, even though statistically, the median golfer should be assumed to use a 32-inch putter as determined by data collected within the application.

[0078] The algorithm within the application can utilize data points or parameters obtained from measurements, selections, or classifications of images (manually or automatically using software) to determine the grading scale or code to be input into the algorithm. Relative positions (e.g., ball-to-body position) can be arbitrarily graded from a scale of 1 to 5, creating numbers for the codes. An exemplary example could be the player's line-of-sight position (E1). A player who is 2" too far above the ball would be evaluated and graded and given a code value of 1, from directly above the ball (code value 3) to the other extreme of being 2" inside the ball (code value 5), and so on. These codes can then be used in the algorithm and further input in relation to other variables to create recommendations derived from the algorithm.

[0079] In the second aspect, a finely tuned or customized pusher is provided for each individual, based on the output data of the methods and applications described herein.

[0080] In a third aspect, an adapter system for manufacturing multi-adjustable push rods is provided, comprising:

[0081] shaft;

[0082] Putter head;

[0083] Adjustable and / or interchangeable striking panels; and

[0084] The adjustable / interchangeable panel maintains the loft angle of the putter head relative to the sole, such that when the loft angle of the striking panel is adjusted, the putter head remains on the neutral axis of the shaft.

[0085] As described above, the fine-tuning adaptation application is a comprehensive adaptation and analysis tool that can best determine the correct specifications for a golfer's putter using static and dynamic measurements, tendencies, and attributes. It has been found that when the right data is taken into account, golfers can become highly predictable in how they will move or operate. In this way, the application can record and analyze this data to improve golfers' putting success by allowing them to have optimal putting specifications to maximize the consistency of their shots and rolls.

[0086] The adaptation process can be configured to examine all aspects that help a golfer hit their putter. It has been found that different settings can affect how a golfer aims, hits, and strikes the ball, and therefore how they rotate their putter.

[0087] Because golfers vary in body size and proportions, the optimal club fit is different for each individual. For example, the angle of the clubhead relative to the shaft, or the loft angle, is an aspect that must be determined and maintained along with the loft angle of the putter head relative to the sole.

[0088] Therefore, it is envisioned that the fitting matrix could have more than 30,000 configurations, which may include, but should not be considered as limited to: clubhead shape and alignment line, clubhead and total weight, neck offset and axis of rotation, loft angle, face angle, length and / or grip.

[0089] In one implementation, a line of sight on the topline of the putter and a line on the back of the flange can be used to create a perspective alignment tool. In this way, the fitting process uses an assessment of the golfer's perception of the straight line, which places the line of sight inside the ball, allowing the putter to be configured to have the topline line of sight machined closer to the heel of the putter, aligning with the back flange line when the sole is substantially parallel to the ground.

[0090] The embodiments described above can also be broadly defined as any part, element, or feature that is individually or collectively mentioned or indicated in the specification of this application, and any or all combinations of any two or more of the said parts, elements, or features.

[0091] A custom-fit putter head implementation allows for alignment with a personalized center of gravity (COG), for example, when changing the clubhead, hosel, etc. In this way, based on the striking and hitting tendency, the COG can be substantially aligned to achieve the golf ball's most neutral axis of rotation for the golfer by allowing the golfer to strike the optimal position on the clubhead's striking panel (referred to in the art as the "sweet spot"). This configuration allows for complete customization of the putter head, where the putter can, for example, be manufactured with more toe-weighted bias if this is where the golfer consistently needs to position the weight to provide an effective sweet spot.

[0092] The inventors have discovered that the variable milling depth of the striking panel can be used to control the ball's speed. Without theoretical constraints, the deeper the milling, the more the ball is compressed into the striking panel pattern, and the slower it moves. There are concepts in this area that allow for the dispersion of the milling pattern to compensate for the loss of ball speed due to poor striking. This works well, for example, for robots where the heel and toe travel at the same speed.

[0093] Preferably, the milling pattern can be customized based on the player's preferences. For example, the player may cut across the ball, rotate their toe faster or slower, etc.

[0094] It should be understood that milling the strike face should not be considered limited to horizontal and vertical rolls, but can also be used to counteract mishit. In this way, the depth of milling can also allow the closing face on the toe to be offset by a relieved horizontal roll, which causes the ball to start further to the right compared to a square face. Based on data collected from a custom-fit application, it can be determined whether a golfer who mishit on the toe is slicing the ball, which often results in a pull. Milling can then be matched separately to assist in correcting mishit putts. The advantage of a custom-milled strike face is that the putter can still have the feel of a square face, but mishit can be counteracted.

[0095] Furthermore, if a specific integer is mentioned herein, and there is a known equivalent of that specific integer in the art in relation to the implementation scheme, such a known equivalent is considered to be incorporated herein as if it were described separately.

[0096] Work Example

[0097] The methods, apparatus, and their manufacture described above will now be described with reference to specific examples.

[0098] As mentioned earlier, the algorithm within the application uses data points obtained from measurements, selections, or classifications of images (manually or automatically using software) to determine the grading scale or code to be used as input into the algorithm. Relative positions—such as the ball-to-body position—are graded on a scale from 1 to 5, where this creates numbers for the codes. A given example could be the player's line-of-sight position (E1). We would grade this player's assessment from being 2" too far above the ball (code value 1), directly above the ball (code value 3), to the other extreme of being 2" inside the ball (code value 5)—see, for example, [link to relevant documentation]. Figure 8 The line of sight is evaluated, and the position that most closely resembles the captured image is assigned code 2 (1" above the ball). This is later used in the exemplary algorithm (Table 1 below) and as... Figure 21 The complete working example shown determines the optimal shaft length based on its relationship with other variables to create a putter recommendation derived from the algorithm.

[0099]

[0100] Table 1 - An exemplary algorithm for determining the recommended putter length using the line of sight (E1) as one of the variables to determine the correct putter specification using the formula above.

[0101] Example 1

[0102] refer to Figure 1 The example illustrates an overview flowchart of the fine-tuning application, showing the entire process conducted during a custom putter adaptation evaluation that results in putter specifications different from the standard ones, and this process is specifically tailored to the end user. The logical walkthrough of each screenshot or page of the application will be further described below.

[0103] Main page 1 ( Figure 2 )

[0104] Users will have the option to choose between "New Adaptation Session" or "New Specification Form". The New Adaptation Session feature is described below. The New Specification Form is a form that is simply filled out and is used to copy specifications or process orders.

[0105] Player Information Page 2 ( Figure 3 )

[0106] Please enter the following details:

[0107] Name: Report published in Portable Document Format (PDF)

[0108] Surname: Published in PDF report

[0109] Email: Published as a PDF report

[0110] Contact number: Published in PDF report

[0111] Near miss: Published as a PDF report

[0112] Height: Published as a PDF report / comma-separated value file (CSV)

[0113] Wrist to ground: Published as a PDF report / Used in the algorithm

[0114] Flexibility: Published as a PDF report / used in the algorithm (only for determining the image set)

[0115] Initial setup analysis page 3 ( Figure 4 )

[0116] Please enter the following details:

[0117] Current putter model: Published as a PDF report

[0118] Current Putter Category (CPC): Published as a PDF report

[0119] Current putter length (CPL): Published as a PDF report

[0120] Current shaft plane angle (CSP): Published as a PDF report / used in the algorithm

[0121] Dominant Eye (DE): Published as a PDF report

[0122] Target bias (A1): Published as a PDF report / used in the algorithm

[0123] Distance to ball (DFB): Published in the PDF report / Line of sight (E1) as one of the variables to determine the correct specification using the formula below, Tempo (T1): Clubface spin (R1): Published in the PDF report / Used in the algorithm

[0124] Rotation of the face (R1): Published as a PDF report / Used in the algorithm

[0125] Error tendency (M1): Published as a PDF report / used in the algorithm

[0126] ( Figure 21 (The algorithm for setting up the algorithm is shown)

[0127] Initial setup photo page 4

[0128] The image of the straight line of the edge was captured (see Figure 5The image was published as a PDF report.

[0129] Set category (hand position) page 5

[0130] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 6 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0131] Set the category (shaft to forearm plane) on page 6

[0132] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 7 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0133] Set category (viewpoint) page 7

[0134] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 8 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0135] Set category (posture) page 8

[0136] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 9 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0137] Initial setup photo (capture frontal image) page 9

[0138] User's frontal image ( Figure 10 Image 2) was captured and published as a PDF report.

[0139] Set Category (Front of the Ball) Page 10

[0140] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 11 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0141] Set Category (Shaft Lean) Page 11

[0142] For analysis purposes, select the most appropriate or simulated user image (see [link]). Figure 12 Each image is associated with a numerical value used in the algorithm. This is published as a PDF report.

[0143] Configure adaptation (clubhead, neck, length, loft, face, and grip) on page 12 (top of the screen).

[0144] refer to Figure 13 Clubhead: The recommendation will use a new algorithm page for initial setup recommendations, including clubhead, collar, length, loft, face, and grip.

[0145] Recommended specifications (length): Based on the current putter configuration page, the length and loft angle are derived from the initial settings classification algorithm on pages 1 and 2. Figure 21 (and the stick figure analysis on images 3 to 10.)

[0146] Recommended specifications (locating angle): Based on the current putter configuration page, the length and loft angle are derived from the initial settings classification algorithm on pages 1 and 2. Figure 22 (and the stick figure analysis on images 3 to 10.)

[0147] Figure 23 , Figure 24 , Figures 25A-25D , Figure 26 and Figure 27 The corresponding algorithm calculations for the shaft neck, loft angle, clubhead, and clubhead weight are shown respectively.

[0148] Configure Adaptation (Dynamic Evaluation) Page 12 (Bottom of Screen)

[0149] like Figure 14 The example screenshot shown illustrates the setup adaptation (dynamic evaluation) and flow data input:

[0150] Aiming bias (A1): Used in the algorithm (hitting and striking algorithm table - see...) Figure 22 and Figure 23 )

[0151] Shot direction (SD) along the sideline: used in the algorithm (shot and strike algorithm table - see...) Figure 22 and Figure 23 )

[0152] Spin rate (R): Used in the algorithm (hitting and striking algorithm table - see...) Figure 22 and Figure 23 )

[0153] Start Direction (ST): Used in the algorithm (hitting and striking algorithm table - see...) Figure 22 and Figure 23 )

[0154] Emit (LN): Used in the algorithm (emit algorithm table - see...) Figure 26 )

[0155] Set up photo page 13

[0156] like Figure 15 As shown, this is where the club fitter will take photos and analyze the position with the new putter configuration to reanalyze the position with the recommended putter configuration performed as shown on pages 4-10 (pages 15-21 of the application are not shown).

[0157] Pusher configuration page 23

[0158] like Figure 17A and Figure 17B As shown, this page provides cue adapter users with the following options: adjust settings and then view page 14 again. Figure 16A and Figure 16B The adaptation process involves either the "CLASSIFY NEW CONFIGURATION" option or the "APPROVE FITTING RESULTS" option, to which the page will then output a CSV file. Figure 18 ), PDF summary page ( Figure 19 ) and email ( Figure 20 The specifications of the push rod are published in the form of ( ).

[0159] Example 2

[0160] refer to Figure 28 Based on the application data and analysis above, an exemplary component adapter system for manufacturing multi-adjustable putters is shown, the adapter system including: a shaft; a putter head; and an adjustable and / or interchangeable striking panel.

[0161] As mentioned above, the putter's fitting system is multi-adjustable, which is not only dexterity-neutral, meaning it is suitable for both left-handed and right-handed golfers, but also uses adjustable / interchangeable panels to maintain the loft relationship between the putter head and the sole when adjusting the loft angle of the strike panel.

[0162] This configuration allows the putter head to remain on the neutral axis of the shaft when adjusting the loft angle of the strike plate.

[0163] Example 3

[0164] refer to Figure 29 This paper illustrates a putter head implementation where the intent is to place the putter head flat on the sole to create a consistent setup position. It has been found that when the sole is substantially parallel to the ground, the golfer is able to calibrate their eye position and the distance from the ball to where the putter is located. To achieve this setup position, a visual alignment tool is created using line markers on the top line of the putter and lines on the back of the flange.

[0165] For example, the application adaptation process uses an assessment of the golfer's perception of the straight line, which may place the line of sight inside the ball (to the right of the red dot or center), so the putter is configured to work the top line line of sight closer to the heel of the putter to align with the back flange line when the sole is substantially parallel to the ground.

[0166] Example 4

[0167] refer to Figure 30 This illustrates the modular nature of a putter head implementation, where a custom fit allows alignment according to an individual's customized center of gravity (COG), for example, when changing the clubhead, hosel, etc. In this way, based on the shot and striking tendency, the COG can be substantially aligned to achieve the golf ball's most neutral axis of rotation for the golfer by allowing the golfer to strike the sweet spot of the clubhead's striking panel.

[0168] This configuration allows for complete customization of the putter head, where the putter is manufactured with more toe-weighted offset, if this is where golfers consistently need to position the weight to provide the sweet spot. For example, Figure 30 The blue dot (on the left of the center) indicates that the toe weight increased by 10 grams and the heel weight decreased by 10 grams.

[0169] Example 5

[0170] refer to Figure 31A , Figure 31B , Figure 31C and Figure 32A , Figure 32B , Figure 32C , Figure 32D and Figure 32E The diagram shows the variable milling depth of the striking panel. These configurations are used to control the ball speed.

[0171] The milling pattern is customized based on the player's preferences. For example, the player may prefer to slice the ball horizontally, rotate their toe faster or slower, etc.

[0172] Furthermore, milling of the strike face is used to counteract mishit. In this way, the depth of the milling also causes the closing face on the toe to be softened by a gentle horizontal curve, which, compared to a flat face, causes the ball to start further to the right. Based on data collected from a custom-fit application, it can be determined whether a golfer who mishit their putt on the toe is slicing the ball, which often results in a pull. The milling can then be individually matched to assist with mishit putts, such as... Figure 32A , Figure 32B , Figure 32C , Figure 32D and Figure 32E As shown in the figure.

[0173] Example 6

[0174] refer to Figure 33 This shows an optional screenshot or page of the application. This is another parameter the golfer checks and another consideration when adjusting the golfer's alignment characteristics. The golfer is instructed to set the ball approximately 12 feet from the hole. The application operator putts the ball into the middle of the putter, and the golfer is asked to notify the operator when to stop as it intersects the putter. This process has been found to be related to factors such as eye dominance, distance from the ball, and which ball is aligned with the hole. For example, variations in these factors—such as the leftward and farthest ball selection, the longer the putter, and the more upright the putter—will determine the type of correction that needs to be input into the application.

[0175] Various aspects of the invention have been described by way of example only, and it should be understood that modifications and additions may be made thereto without departing from the scope of the claims herein.

Claims

1. A method for fine-tuning a pushrod, comprising the following steps: a) Input user data into the application; b) Collect additional data, which is obtained based on measurements of static and dynamic push rod movement and computer analysis and / or measurement variables obtained from sensors; c) Packing and organizing the user data and other data within the application; d) Analyze the dataset and apply at least one algorithm based on statistical analysis derived from a binomial distribution to the dataset to determine how the putter's properties relate to predetermined algorithmic values ​​used for putter settings to maximize consistency between the user's shot and roll during putting, and to determine the correct specifications for the user's putter, wherein the binomial distribution is derived from a Galton board such that the sum of independent random variables tends to a normal distribution; and The application allows the user to adjust the specifications and then report on the choices made to achieve the desired result of manufacturing a putter for the golfer, resulting in specifications different from standard OEM putters.

2. The method of claim 1, wherein the application allows the user to capture and analyze specific parameters selected from any one of: wrist-to-ground measurements; height; eye dominance; Current putter length; aiming tendency; mis-pollution tendency; clubface spin; spin rate; Posture, which includes line of sight, hand position relative to the shoulder, relative angle between the shaft and forearm, and the amount of spinal angle; ball position; shaft tilt; roll and spin; and the direction of impact.

3. The method of claim 2, wherein the data collected according to the parameters includes data points, each of which has a numerical value, and the numerical value is used in the algorithm to determine the correct putting specification for the golfer.

4. The method according to any one of claims 1 to 3, wherein the application is based on analysis selected from any one of: technology, static location, dynamic movement, and equipment recommendation.

5. The method according to any one of claims 1 to 3, wherein the application is configured to run using other techniques for performing data point analysis, said other techniques being selected from any one of: MatLab, QuinticBall Roll research system, high-speed camera, computer analysis.

6. The method according to any one of claims 1 to 3, wherein the application examines the relative position of the body and the club and evaluates the relative position of the body and the club as an extreme scale relative to a predetermined intermediate scale to provide a value for the algorithm.

7. The method according to any one of claims 1 to 3, wherein the putting specifications for an individual or user are derived from a consistency analysis of a dataset of grouped data from golfers to determine a tendency; and wherein the grouped data is formed by aggregating individual observations of a variable into groups, such that the frequency distribution of these groups is used as a means of summarizing or analyzing the grouped data.

8. The method according to any one of claims 1 to 3, wherein the algorithm within the application uses data points or parameters obtained from measurements, selections, or classifications of images performed manually or automatically using software to determine a grading scale or code for input into the algorithm.

9. The method of claim 8, wherein the grading scale is arbitrarily graded from 1 to 5, which creates numbers for the codes; and wherein these codes are used in the algorithm and further input in relation to other variables to create recommendations derived from the algorithm.

10. The method according to any one of claims 1 to 3, wherein at least 30,000 configurations selected from the following are used: clubhead shape and alignment line, clubhead and total weight, shaft offset and axis of rotation, loft angle, face angle, length and / or grip.

11. The method of claim 1, wherein the static and dynamic push rod movements are obtained from a high-speed camera.

12. A finely tuned or customized pushrod manufactured for each individual based on the method and output data of the application according to any one of claims 1 to 11.

13. The pusher of claim 12, wherein a line of sight on the top line of the pusher and a line on the back of the flange of the pusher are used to create a view alignment tool; and wherein the pusher is configured such that the line of sight, which is a line of sight on the top line, is machined close to the heel of the pusher to align with the back flange line when the bottom of the pusher is parallel to the ground surface.

14. The putter according to claim 12 or claim 13, wherein the striking face is milled with a variable milling depth to control the ball speed, wherein the milling pattern is custom-milled based on the golfer's tendency to reduce mishitting.

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