JP7767375B2 - Batting tool selection diagnostic system and batting tool selection diagnostic method - Google Patents

Description

This disclosure relates to a hitting tool selection diagnostic system and a hitting tool selection diagnostic method.

Patent Publication No. 5352805 (Patent Document 1) describes a bat selection system that uses measurement data from actual hits of balls with a bat to select and suggest a bat suitable for the batter.

In the bat selection system described in Patent Document 1, when a batter swings a bat equipped with a built-in sensor (sensor bat) and actually hits a ball, multiple pieces of kinematic information about the bat swing are calculated from the measurement values obtained from the sensor's measurement data. Furthermore, the system describes a system that selects and recommends the most suitable bat from the multiple bats swung that matches the batter's desired swing type, based on the evaluation parameters of the batter's swing obtained by analyzing the calculated kinematic information and the desired swing type (long hitter/average hitter) input by the batter.

Specifically, from the multiple kinematic information calculated for the multiple bats swung, a portion of the kinematic information is extracted according to the target hitter type input (long hitter/average hitter), and the extracted kinematic information is sorted between the multiple bats to select the single most suitable bat.

Patent No. 5352805

However, the bat selection system in Patent Document 1 uses analysis to determine multiple swing measurement data values (kinematic information), but also performs two steps of individually comparing only two types of swing measurement data values, which are a subset of the data, in an order based on the input target swing type (long hitter/average hitter). For this reason, it is clear that there is room for improvement in the usefulness of the multiple swing measurement data values determined. It is anticipated that similar issues will arise when suggesting hitting tool selection using measurement data values from actually hitting an object such as a ball with a hitting tool other than a bat (for example, a table tennis or tennis racket).

This disclosure has been made to solve these problems, and the purpose of one aspect of this disclosure is to propose an effective hitting tool selection method that increases the utilization of multiple swing measurement data values obtained from measurement data when a user actually hits an object such as a ball with a hitting tool.

In one embodiment of the present disclosure, a hitting tool selection diagnostic system is provided. The hitting tool selection diagnostic system includes a measurement device and a data analysis device. The measurement device is configured to receive input of a swing behavior when a batter swings a hitting tool to hit an object, and output a first swing measurement data value dependent on the operability of the hitting tool and a second swing measurement data value dependent on the momentum of the hitting tool at the time of hitting. The data analysis device receives input of the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools, and generates diagnostic information related to hitting tool selection. The data analysis device includes a score calculation unit and a diagnostic information generation unit. The core calculation unit calculates, for each of the test hitting tools, a first score value that is an index value of the operability of the hitting tool swung based on the first swing measurement data value, and a second score value that is an index value of the velocity (initial velocity) of the hit object based on the second swing measurement data value, and calculates a total score value by combining the first score value and the second score value based on weighting parameters specified by the batter. The diagnostic information generating unit generates diagnostic information using the total score values corresponding to each of the plurality of test hitting tools calculated by the score calculating unit.

Another embodiment of the present disclosure provides a hitting tool selection diagnostic method that includes: (1) selecting three or more test hitting tools based on a user's input; (2) acquiring first swing measurement data values and second swing measurement data values for the swing behavior of each of the test hitting tools using a measurement device configured to receive input of a swing behavior of a batter when the batter swings the hitting tool to hit an object and output a first swing measurement data value dependent on the operability of the hitting tool and a second swing measurement data value dependent on the momentum of the hitting tool at the time of hitting; (3) calculating, for each of the test hitting tools, a first score value that is an index value for the operability of the swung hitting tool based on the first swing measurement data value and a second score value that is an index value for the velocity (initial velocity) of the hit object based on the second swing measurement data value, and calculating a total score value by combining the first score value and the second score value based on a weighting parameter specified by the batter; and (4) generating diagnostic information related to hitting tool selection using the calculated total score value corresponding to each of the test hitting tools.

This disclosure makes it possible to propose effective hitting tool selection that makes greater use of multiple swing measurement data values obtained from measurement data when a user actually hits an object such as a ball with a hitting tool.

1 is a conceptual diagram illustrating an example of the configuration and usage of a bat selection diagnostic system according to an embodiment of the present invention; FIG. 2 is a block diagram illustrating an example of a hardware configuration of the data analysis apparatus shown in FIG. 1 . 1 is a functional block diagram of a bat selection diagnostic system according to an embodiment of the present invention. 10 is a diagram showing an example of the structure of a data file generated by an input processing unit. 10 is a flowchart illustrating a control process for bat selection diagnosis by the data analysis device. FIG. 10 is a conceptual diagram illustrating conversion of swing measurement data values into statistical values. FIG. 10 is a conceptual diagram illustrating the relationship between a change in BS value and a total score value. FIG. 10 is a conceptual diagram showing an example of an output display of bat selection diagnostic information.

Embodiments of the present invention will now be described with reference to the drawings. In the following description, identical components are designated by the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions of them will not be repeated.

Figure 1 is a conceptual diagram illustrating an example of the configuration and usage of a bat selection diagnostic system, which is a representative example of a hitting tool selection diagnostic system according to this embodiment. Below, in this embodiment, we will explain, as a representative example, how to select and diagnose a hitting tool (bat) using measurement data values obtained when a baseball or softball bat is used as a representative example of a hitting tool and a ball, which is a representative example of an object, is actually hit.

As shown in FIG. 1, the bat selection diagnostic system 10 comprises a measurement device 100 and a data analysis device 200. The measurement device 100 generates swing measurement data values based on input of the swing behavior of a batter 2, the person being measured, when the batter 2 hits a ball 5 placed on a tee stand 7 with a bat 3 (hitting implement).

The measurement device 100 includes a sensor 110 attached to the bat 3 and a calculation device 120 that generates swing measurement data values from the values measured by the sensor 110. The sensor 110 is, for example, an inertial sensor attached to the grip end of the bat 3. In this case, the sensor 110 outputs acceleration data, angular velocity data, and geomagnetic data as measurement values.

The sensor 110 and the calculation device 120 that make up the measurement device 100 are connected via a wireless communication line such as Bluetooth (registered trademark). As a result, the measurement values output from the sensor 110 are transmitted to the calculation device 120 via wireless communication.

Calculation device 120 is configured as a computer device (e.g., a smartphone) installed with an application program for executing calculations that use measurement values to calculate predetermined swing measurement data values. Additionally, data related to the inertial characteristics of the bat 3 used during measurement (e.g., the length and weight of the bat 3) is separately input to calculation device 120, and this data is used to calculate the swing measurement data values.

As an example, the measurement device 100 can be applied to "BLAST BASEBALL" sold by Mizuno Co., Ltd. In this case, the measurement values of the sensor (inertial sensor) 110 are used to generate "swing measurement data values" such as bat speed at impact, upper swing degree, bat angle, swing time, maximum hand speed, and power.

Swing time is defined as the time required from when the start of the swing of the bat 3 is detected until the ball hits the bat, and can be used as a factor of bat maneuverability, i.e., a swing measurement data value that depends on bat maneuverability. Alternatively, the acceleration at the start of the swing of the bat 3 (initial acceleration) can be obtained as a swing measurement data value and used as an indicator of bat maneuverability.

Power is calculated as the product of the swing speed at impact, the average acceleration of the swing up to impact, and the weight of the bat 3, and can be used as a factor in bat momentum, i.e., a swing measurement data value that depends on the magnitude of bat momentum. Alternatively, the swing speed at impact can be used as a swing measurement data value that is a factor in bat momentum. Alternatively, the momentum at impact can be directly obtained as a swing measurement data value from the swing speed and the inertia characteristics of the bat 3.

Note that any device or system can be used with the measurement device 100 as long as it can analyze the swing behavior to generate swing measurement data values that depend on the swing time or equivalent bat maneuverability, as well as swing measurement data values that depend on the magnitude of the bat momentum at impact, such as the momentum or power of the bat 3 at impact. While Figure 1 shows an example using measurements from an inertial sensor, the measurement device 100 may also be configured to generate equivalent swing measurement data values using optical motion capture.

When the swing measurement data values generated by the measurement device 100 are input, the data analysis device 200 uses the swing measurement data values to generate diagnostic information related to the selection of the bat 3 (hereinafter also referred to as "selection diagnostic information"). The data analysis device 200 can be configured as a computer device (e.g., a tablet terminal) installed with an application program for executing the control processing of the bat selection diagnostic method according to this embodiment.

Swing measurement data values can be input to the data analysis device 200 by the user manually entering the data values displayed on the screen of the measurement device 100. Alternatively, the measurement device 100 (arithmetic device 120) and data analysis device 200 may be connected via a wireless communication line such as Bluetooth (registered trademark), so that the swing measurement data values generated by the measurement device 100 are automatically transmitted to the data analysis device 200. Furthermore, the arithmetic device 120 of the measurement device 100 and the data analysis device 200 may be configured as the same terminal.

In this embodiment, the data analysis device 200 receives swing measurement data values from each of M bats 3 (M: an integer greater than or equal to 3) used in tee batting and generates bat selection diagnostic information.

Figure 2 is a block diagram illustrating an example hardware configuration of the data analysis device 200.

As shown in FIG. 2, the data analysis device 200 is configured as a computer including a CPU (Central Processing Unit) 202, memory 203, input/output (I/O) circuitry 204, and display unit 206. The CPU 202, memory 203, I/O circuitry 204, and display unit 206 can exchange data with each other via a bus 207.

A program including a program for causing the CPU 202 to execute the bat selection diagnosis method according to this embodiment is pre-stored in a portion of the memory 203. By having the CPU 202 execute this program, the bat selection diagnosis can be performed using the swing measurement data values obtained by the measurement device 100.

The I/O circuit 204 can input and output signals and data to and from other devices, such as the arithmetic unit 120 of the measuring device 100, or other devices, via a communication device (not shown). The I/O circuit 204 can also communicate with other devices via a communication network such as the Internet.

Furthermore, the I/O circuit 204 is configured to accept input values from input keys (not shown). These input keys may be provided as dedicated hardware, or may be provided in a partial area of the display unit 206 when the display unit 206 is configured as a touch panel.

Figure 3 is a functional block diagram of the bat selection diagnostic system according to this embodiment.

As shown in FIG. 3, the data analysis device 200 includes a user interface unit 210, an input processing unit 220, a score calculation unit 230, and a selected diagnostic information generation unit 240. The functions of each block of the user interface unit 210, the input processing unit 220, the score calculation unit 230, and the selected diagnostic information generation unit 240 are basically realized by software processing through the execution of a program. However, at least some of the functions of any block can also be configured using digital circuits such as FPGAs (Field Programmable Gate Arrays) or ASICs (Application Specific Integrated Circuits), or analog circuits.

The user interface unit 210 provides data input guidance to the user of the bat selection diagnostic system, swing guidance during tee batting, and performs output processing of selection diagnostic information.

The data input guidance prompts the user to enter data about the tee-batting batter 2, such as an ID and user attributes (event category (hardball/rubber/softball) and level category (age group, competitive level, etc.)). Based on the entered user attributes, M test bats are selected from a lineup of bats for each predetermined user category. User categories are predefined by combining the above-mentioned event category and level category (elementary school student/junior high school student/high school student/adult/professional, etc.).

Furthermore, in this embodiment, the user is guided to input a BS value, which is a weighting coefficient that can be set continuously, rather than as a single choice, to indicate whether the user prefers to be an average hitter who emphasizes contact reliability or a power hitter who emphasizes long-range hitting. The BS value is input within the range of 0≦BS≦1.0, with a larger BS value being defined as being more oriented toward an average hitter who emphasizes contact reliability, and a smaller BS value being more oriented toward a power hitter who emphasizes distance. The BS value input by the user is accepted by the input processing unit 220.

The swing guidance presents the user with M selected test bats and guides them to swing the M bats in order to practice tee-ball hitting. Data (model name, moment of inertia value, etc.) for the M selected test bats is input to the input processing unit 220. In the following, in this embodiment, we will assume that M = 3. M test bats correspond to one example of "multiple test batting implements."

For example, from the group of bats in the corresponding user category, a first test bat with the largest moment of inertia value, a second test bat with the smallest moment of inertia value, and a third test bat with a moment of inertia value smaller than that of the first test bat and larger than that of the second test bat are selected.

Alternatively, the user can directly select M test bats from the bat lineup for the corresponding user category as selection candidates.

The measurement device 100, in conjunction with the swing guidance, inputs the swing behavior of each of the M bats and outputs swing measurement data values. This allows the measurement device 100 to obtain the swing time SWT and power PWR described above for each of the M bats.

Note that swing time SWT corresponds to one example of a "first swing measurement data value" that depends on bat maneuverability, and power PWR corresponds to one example of a "second swing measurement data value" that depends on the bat momentum at the time of impact.

When the input processing unit 220 receives the swing measurement data values output from the measurement device 100, it generates the data file shown in Figure 4 for each user.

As shown in Figure 4, a data file is created for each user who is the subject of the bat selection diagnosis, and contains the BS values entered by that user. Furthermore, for each of the M test bats (here, M = 3) that the user used for tee batting, at least the moment of inertia value and coefficient of restitution, which are bat specification values, are stored in association with the bat ID. Similarly, the swing time SWT and power PWR, which are swing measurement data values for the swing behavior, are stored.

Referring again to FIG. 3, the score calculation unit 230 uses the data stored in the data file to calculate a total score value TS for each of the M test bats swung by each user. The selection diagnostic information generation unit 240 generates selection diagnostic information for the bat using the total score value TS for each of the M test bats calculated by the score calculation unit 230. The user interface unit 210 executes display processing to present the selection diagnostic information generated by the selection diagnostic information generation unit 240 to the user.

Next, a control process for bat selection diagnosis by data analysis device 200 will be described using the flowchart of Figure 5. The control process shown in Figure 5 is realized by CPU 202 executing an application program stored in memory 203. That is, a program that causes data analysis device 200 (CPU 202) to execute the control process shown in Figure 5 is installed in data analysis device 200, thereby executing a bat selection diagnosis method shown as a representative example of a hitting tool selection diagnosis method according to this embodiment.

In step (hereinafter simply referred to as "S") 110, the CPU 202 guides the user to input user data, and in step S120, accepts the user data input by the user.

The processing of S110 corresponds to the data input guidance for user data. As a result, in S120, the input processing unit 220 accepts the user data, including the identification ID, sport attributes (hardball/rubberball/softball, age group, sporting level, etc.).

In S130, the CPU 202 selects M test bats (here, M = 3) from the group of bats for the corresponding user category based on the user attribute information received in S120. Furthermore, in S130, the selected M test bats are presented to the user by the user interface unit 210. For example, the display unit 206 can be used to display information informing the user of the M test bats.

In S130, the user may be asked to directly input M candidate bats with which the user wishes to directly compare swing behaviors. In this case, M test bats are selected in accordance with the user input.

In S135, the count value i for distinguishing between the M test bats is initialized (i = 1).

In S140, the CPU 202 guides the user to input swing measurement data values (e.g., swing time SWT and power PWR) when swinging the i-th test bat out of M test bats, and accepts the input swing measurement data values (e.g., swing time SWT and power PWR).

In S145 , the CPU 202 determines whether the data input in S140 is normal. For example, threshold values for the swing time SWT and the power PWR that distinguish between normal and abnormal values can be set, and the determination in S145 can be performed.

Furthermore, if the swing time SWT is too long, for example because the test bat is too heavy, there is a concern that an appropriate bat selection diagnosis may not be possible. For this reason, if the swing time SWT is greater than a predetermined first threshold, a NO determination is made in S145 and processing is returned to S140, thereby prohibiting the use of such a swing time to calculate the total score value (described below). Similarly, in order to eliminate abnormal values, a NO determination can also be made in S145 when the swing time SWT is greater than a predetermined second threshold (shorter than the first threshold). Note that when processing is returned to S140, it is also possible to prompt the user to switch the test bat to another model with a smaller moment of inertia value.

In addition, in order to prioritize shortening the time required to obtain the swing measurement data value , when the judgment at S145 is NO, information indicating that the swing measurement data value is an abnormal value may be added and processing may proceed to S150.

The CPU 202 stores the swing measurement data values (SWT, PWR) when the i-th test bat is swung in S150. In S150, the swing measurement data values of normal values for which S145 is judged as YES are stored. Alternatively, as described above, swing measurement data values outside the threshold value may be stored with information identifying the abnormal value.

In S155, the CPU 202 compares the count value i with M, which is the number of test bats. If i< M (NO in S155), in S157 the count value i is incremented by 1 and the process returns to S140. As a result, the processes in S140 to S150 are repeatedly executed from i=1 to i= M .

When i≧ M (YES determination in S155), the CPU 202 advances the process to S160 since M test bat swings have been completed. In S160, the data received in S120 and S150 is used to create the data file shown in FIG. 4 corresponding to the user who entered data in S110. Note that the user may be prompted to input a BS value in S158, indicated by the dotted line, once M test bat swings have been completed (YES determination in S155).

In addition, for the processing of S140 to S150, it is also possible to guide the user to enter data for M test bats all at once.

Furthermore, in a configuration in which swing measurement data values from measurement device 100 are automatically transmitted to data analysis device 200 via a wireless communication line, in S140, the user is guided to tee-ball with the i-th test bat, and by S145, the swing measurement data values transmitted from measurement device 100 can be accepted using the user's swing behavior of the test bat as input.

In S170, the CPU 202 calculates the total score value TS for each test bat using the data stored in the data file.

The total score value TS is calculated according to the following formula (1) using the score value STx related to bat maneuverability, the score value SMy related to the magnitude of bat momentum at impact, and the BS value entered by the user.

In equation (1), the score value STx is calculated according to a predetermined function formula with the swing time SWT as a variable. The function formula is set so that the shorter the swing time SWT, the higher the score value. For example, by dividing a predetermined constant by the swing time SWT, the score value STx can be calculated so that it is inversely proportional to the swing time SWT.

The score value SMy can be calculated from the power PWR, which is a swing measurement data value, according to the function formula (linear function) shown in equation (2). According to equation (2), the score value SMy indicates the momentum of the bat at the impact position.

In equation (2), m is the bat weight. r is the distance between the impact position and the center of gravity, and the impact position is the center of gravity of the bat. I is the moment of inertia value of the bat. m , r, and I in equation (2) are constants for each test bat and can be obtained by the input processing unit 220 when M test bats are selected in S130.

The score value STx in formula (1) corresponds to the "first score value," which is an index value of bat maneuverability, and the score value SMy corresponds to the "second score value," which is an index value of the ball speed (initial velocity), which affects the flight distance of the ball. Note that when formula (1) or (2) is calculated using swing measurement data values to which information identifying an abnormal value has been added, it is also possible to prohibit the calculation of the total score value TS based on the abnormal value by setting the value of score value STx or SMy to zero.

When calculating the scores STx and SMy, statistically processed swing measurement data values may be used instead of using the physical quantities (measured values) as they are.

Figure 6 shows a conceptual diagram illustrating the conversion of swing measurement data values into statistical values.

As shown in Figure 6, there may not be a large difference in the measured values of the swing measurement data values (P1 to P3), i.e., in terms of physical quantities. For example, differences in the measured values are unlikely to appear between P1 to P3 in Figure 6. In this case, there is concern that differences in the swing measurement data values between test bats may not be fully reflected in differences in the score values STx or SMy.

Therefore, the swing measurement data values can be converted into statistically processed values that quantify the relative relationships among the M swing measurement data values in order to express the quantitative differences when the same user swings M test bats.

Figure 6 shows an example of converting the measured values (physical quantities) of swing measurement data values into standard deviations, which are an example of statistically processed values. It can be seen that converting to standard deviations makes it possible to fully express the differences between swing measurement data values P1 to P3. Note that the statistically processed values are not limited to standard deviations; for example, Z scores or percentile rankings can also be used as statistical values.

As can be seen from equation (1), the total score value TS varies depending on the BS value when the score values STx and SMy are constant.

Figure 7 shows a conceptual diagram illustrating an example of the change in total score value relative to the change in BS value. The horizontal axis of Figure 7 represents the moment of inertia value of the swung test bat, and the vertical axis represents the total score value.

In Figure 7, the total score values when swinging three test bats with moment of inertia values I1 to I3 (I1<I2<I3) and BS=0.9, i.e., when aimed at an average hitter, are plotted in 301a to 303a.

Generally, a bat with a small moment of inertia value will have a shorter swing time (SWT) and a smaller power (PWR). Therefore, when the BS value is large, i.e., when the user is aiming for an average hitter, the total score value (TS) will tend to be larger with a bat with a small moment of inertia value.

In FIG. 7, the total score values when the BS value is changed (BS=0.5, 0.1 ) while the score values STx and SMy corresponding to the plot points 301a to 301c remain unchanged are plotted at 301b to 303b and 301c to 303c.

It can be seen that as the BS value increases (oriented toward an average hitter), the swing time SWT becomes shorter while the power PWR decreases, and the total score value TS of a bat with a small moment of inertia value (IS1) increases. In the example of Figure 7, the total score values (302a-302c) of the bat with a moment of inertia value I2 do not change much. In such cases, the score values STx and SMy are approximately the same. On the other hand, as the BS value decreases (oriented toward a power hitter), the total score value of a bat with a large moment of inertia value (IS3) increases.

In this way, by introducing a weighting coefficient (BS value), a total score value TS that reflects the quantitative degree of the user's type preference (average hitter preference/power hitter preference) can be calculated for each of the M test bats. This makes it possible to perform a bat selection diagnosis that reflects the user's type preference using an index value (total score value) that reflects both the swing measurement data value related to bat operability and the swing measurement data value related to bat momentum at impact.

Furthermore, as shown in Figure 7, function graph 310a can be obtained, showing a function formula obtained by quadratic approximation of plot points 301a to 303a (BS = 0.9). Similarly, function graph 310b can be obtained by quadratic approximation of plot points 301b to 303b (BS = 0.5), and function graph 310c can be obtained by quadratic approximation of plot points 301c to 303c (BS = 0.1).

By introducing such a function approximation formula, it is possible to obtain the total score values corresponding to bats with moment of inertia values different from the moment of inertia values I1 to I3 of the test bat as values on the graph.

In the example of Figure 7, it can be seen that for bats with moment of inertia values Ix and Iy, by finding the y coordinate values of the intersections with function graphs 310a to 310c, the total score value can be calculated without actually swinging these bats.

Referring again to FIG. 5, in S180, the CPU 202 generates bat selection diagnostic information from the total score calculated in S170. The comparison results of the total score values between the M test bats and/or the function approximation formulas representing the function graphs 310a-310c shown in FIG. 7 correspond to an example of the selection diagnostic information generated in S180.

In this example, where M = 3, a quadratic function approximation is used as the function approximation, but if M≧4 and the number of test bats is increased, it is possible to perform function approximation using even higher-order functions. However, considering the increase in time required due to an increase in the number of bats to be swung, it can be said that setting M = 3 is preferable in practical operation.

In S190, the CPU 202 outputs and displays the diagnostic information generated in S180 to the user via the user interface unit 210.

Figure 8 shows a conceptual diagram of an example of a display screen for bat selection diagnostic information. Figure 8 shows an example of the diagnostic information displayed when the user directly selects three candidate bats. The display screen of Figure 8 can be displayed on the display (display unit 206) of the data analysis device 200.

In the example of Figure 8, the swing measurement data values of power (PWR) and swing time (SWT) are input by the user. The user inputs the swing measurement data values generated by the measurement device 100 (represented as "BLAST" in Figure 8) into input fields provided for each of the M (M = 3) test bats (here, candidate bats 1 to 3 selected by the user).

As shown in the example of Figure 8, swing measurement data values may be obtained by tee-batting multiple times with each test bat. In this case, the total score value can be calculated using equation (1) using the average value of the multiple swings, or the average value after excluding the maximum and minimum values.

In addition, in the example of Figure 8, the BS value can be input in stages by manipulating the cursor 350. It is also possible to configure the screen of Figure 8 so that the user can directly input the BS value numerically, along with guidance showing the definition of the BS value.

In display area 360, the horizontal axis represents the moment of inertia value and the vertical axis represents the total score value, and the total score values 300A to 300C are plotted for the swing behavior when tee-batting with three test bats (candidate bat 1 to candidate bat 3). Furthermore, a function graph 310 is displayed that follows a function approximation formula calculated from these plot points.

By using this function graph 310, the total score value can be evaluated using the moment of inertia value of a bat other than the bat actually swung (candidate bat 1 to candidate bat 3).

Therefore, for each of the bats in the group corresponding to the user category of the user being selected for diagnosis, a total score value can be calculated from the moment of inertia value of each bat, thereby generating selected diagnosis information (S180) and displaying it together in the display area 360.

To maximize the effectiveness of this function approximation, as mentioned above, it is preferable to select the bat with the smallest moment of inertia value, the largest bat, and the bat in between from the group of bats as the test bats.

As described above, the bat selection diagnostic system according to this embodiment can generate diagnostic information for bat selection using a total score value that combines the bat's operability index value (first score value) and the batted ball speed (initial velocity) index value (second score value) using a user-specified weighting coefficient (BS value). Therefore, by utilizing both swing measurement data values that depend on operability and swing measurement data values that depend on the momentum of the hitting tool (bat) at the time of impact, effective bat selection that makes greater use of swing measurement data values can be suggested through input of a BS value that quantitatively indicates the user's type preference (average hitter preference/power hitter preference). Furthermore, by introducing the BS value, type preference is not limited to a single alternative selection, and selection diagnosis with increased flexibility can be achieved.

Furthermore, by displaying the total score calculated from the swing of each of the M test bats as a function of the moment of inertia value of each test bat, it is possible to calculate the total score value from the moment of inertia value of a bat that was not actually swung. This makes it possible to suggest even more effective bat selection.

In addition to the basic calculation using equation (1), the total score value can also be calculated using the modified equation shown in equation (3) below. In equation (3), the total score value TS1 can be calculated by further multiplying the restitution coefficient RV of each bat. The restitution coefficient RV varies depending on the material and structure of the bat, but for a given bat momentum, a higher restitution coefficient RV increases the initial velocity of the hit ball, which is thought to be advantageous for distance. For this reason, the score value SMy, which is an index value related to the hit ball speed (initial velocity), can be further enhanced by calculating the total score value (TS1) using a value multiplied by the restitution coefficient RV.

In addition, because bats with a high coefficient of restitution (RV) generally have a high price, it is also possible to calculate the total score value TS2 using the following formula (4), which divides the total score value TS1 in formula (3) by the coefficient CST related to the bat price. By using the total score value TS2, it is possible to provide selected diagnostic information that takes cost performance into account.

It is understood that the total scores TS1 and TS2 calculated using equations (3) and (4) are useful for comparing the performance of identified candidate bats, as illustrated in Figure 8, by reflecting the restitution coefficient or restitution coefficient and price specific to each bat. However, when using a function graph 310 that follows the function approximation equation for total scores TS1 and TS2 to select and diagnose other bats that have not been swung and have different restitution coefficients or prices, there is a concern that accuracy may be reduced compared to when the total score value TS of equation (1) is used.

Note that Figure 1 illustrates an example in which the measurement device 100 and data analysis device 200 are located relatively close to each other (e.g., in the same store) and work together in response to a user's tee-off, but the system configuration is not limited to this example. As described above, the hitting tool (bat) selection diagnosis of this embodiment is realized by the data analysis device 200 (CPU 202) executing a program that causes the data analysis device 200 (CPU 202) to execute the hitting tool (bat) selection diagnosis method using the control processing shown in Figure 5.

Therefore, the measurement device 100 and the data analysis device 200 do not necessarily need to be located close to each other. For example, data measured by the measurement device 100 may be recorded and then input separately into the data analysis device 200, allowing for bat selection diagnosis based on the calculation of the total score value.

Alternatively, a system configuration is possible in which the swing measurement data values generated by the measurement device 100 are input to the data analysis device 200 via the Internet or the like. In this case, the data analysis device 200 can be configured as a server. Furthermore, the hitting tool (bat) selection diagnosis according to this embodiment can also be performed in a similar manner in which a user accesses the data analysis device 200 via the Internet or the like and directly inputs the swing measurement data values.

In the above embodiment, selective diagnosis is performed by calculating a total score value using swing measurement data values when hitting a stationary ball (object) with a bat. However, the application of this embodiment is not limited to hitting a stationary ball (object). For example, a total score value can be calculated and selective diagnosis can be performed using the same principle using swing measurement data values that input the swing behavior when actually hitting a moving object (moving due to being thrown, etc.) with a hitting tool.

Furthermore, as mentioned at the beginning, the hitting implements that are the subject of selective diagnosis are not limited to baseball or softball bats. Specifically, similar selective diagnosis can be performed on hitting implements (e.g., table tennis or tennis rackets) used in sports where there are time constraints before the hit and it is necessary to consider the balance between maneuverability and the speed of the hit ball. Similarly, it is clear from the principles of the present invention that the object that is hit with the hitting implement when acquiring swing measurement data values is not limited to a ball, as long as similar swing measurement data values can be acquired.

The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of the present disclosure is indicated by the claims, not the above description, and is intended to include all modifications within the meaning and scope of the claims.

2 Batter, 3 Bat, 5 Ball, 7 Tee stand, 10 Bat selection diagnostic system, 100 Measuring device, 110 Sensor, 120 Calculating device, 200 Data analysis device, 203 Memory, 204 I/O circuit, 206 Display unit, 207 Bus, 210 User interface unit, 220 Input processing unit, 230 Score calculation unit, 240 Selection diagnostic information generation unit, 300A-300C, 301a-301c, 302a-302c, 303a-303c Plot points (total score value), TS, TS1, TS2 Total score value, 310, 310a-310c Function graph, 350 Cursor, 360 Display area, SMy, STx Score value, SWT Swing time, PWR Power.

Claims (14)

a measurement device configured to receive as input a swing behavior when a batter swings a hitting tool to hit an object, and to output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting;
a data analysis device that receives the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools and generates diagnostic information related to the selection of the hitting tool,
The first swing measurement data value is an initial acceleration of the hitting tool at the start of the swing or a time required from the start of the swing to the impact,
The data analysis device
a score calculation unit that calculates, for each of the plurality of test hitting tools, a first score value that is an index value of the operability of the hitting tool based on the first swing measurement data value, and a second score value that is an index value of the speed of the hit object based on the second swing measurement data value, and calculates a total score value by integrating the first score value and the second score value based on weighting parameters designated by the batter;
A hitting tool selection diagnostic system including a diagnostic information generation unit that generates the diagnostic information using the total score value corresponding to each of the plurality of test hitting tools calculated by the score calculation unit. a measurement device configured to receive as input a swing behavior when a batter swings a hitting tool to hit an object, and to output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting;
a data analysis device that receives the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools, and generates diagnostic information related to the selection of the hitting tool;
The data analysis device
a score calculation unit that calculates, for each of the plurality of test hitting tools, a first score value that is an index value of the operability of the hitting tool based on the first swing measurement data value, and a second score value that is an index value of the speed of the hit object based on the second swing measurement data value, and calculates a total score value by integrating the first score value and the second score value based on weighting parameters designated by the batter;
a diagnostic information generating unit that generates the diagnostic information using the total score values corresponding to each of the plurality of test hitting tools calculated by the score calculating unit,
A hitting tool selection diagnostic system, wherein the diagnostic information includes a function approximation equation of the total score value, which uses the moment of inertia value of each of the plurality of test hitting tools and the total score value corresponding to each of the plurality of test hitting tools , and takes the moment of inertia value as input. The plurality of test hitting tools are three test hitting tools having different moment of inertia values from a group of hitting tools corresponding to the attributes of the batter,
The hitting tool selection diagnostic system according to claim 2 , wherein the function approximation formula is a quadratic function. The hitting tool selection diagnostic system of claim 3, wherein the three test hitting tools include a first test hitting tool with the largest moment of inertia value, a second test hitting tool with the smallest moment of inertia value, and a third test hitting tool with a moment of inertia value greater than that of the second test hitting tool and smaller than that of the first test hitting tool. The hitting tool selection diagnostic system of claim 1, wherein the second swing measurement data value is impact power, which is expressed as the product of the weight of the hitting tool, the average acceleration of the hitting tool from the start of the swing to the impact, and the hitting tool speed at the time of the impact, or momentum calculated from the inertia characteristics of the hitting tool and the hitting tool speed at the time of the impact. a measurement device configured to receive as input a swing behavior when a batter swings a hitting tool to hit an object, and to output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting;
a data analysis device that receives the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools and generates diagnostic information related to the selection of the hitting tool,
The data analysis device
a score calculation unit that calculates, for each of the plurality of test hitting tools, a first score value that is an index value of the operability of the hitting tool based on the first swing measurement data value, and a second score value that is an index value of the speed of the hit object based on the second swing measurement data value, and calculates a total score value by integrating the first score value and the second score value based on weighting parameters designated by the batter;
a diagnostic information generating unit that generates the diagnostic information using the total score values corresponding to each of the plurality of test hitting tools calculated by the score calculating unit,
the first swing measurement data value is a time required from the start of the swing to the impact;
A hitting tool selection diagnostic system in which, when the time required to swing each of the test hitting tools is longer than a predetermined first threshold value or shorter than a second threshold value that is smaller than the first threshold value, calculation of the total score value using the first swing measurement data value and the second swing measurement data value for the swing of that test hitting tool is prohibited. a measurement device configured to receive as input a swing behavior when a batter swings a hitting tool to hit an object, and to output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting;
a data analysis device that receives the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools, and generates diagnostic information related to the selection of the hitting tool;
The data analysis device
a score calculation unit that calculates, for each of the plurality of test hitting tools, a first score value that is an index value of the operability of the hitting tool based on the first swing measurement data value, and a second score value that is an index value of the speed of the hit object based on the second swing measurement data value, and calculates a total score value by integrating the first score value and the second score value based on weighting parameters designated by the batter;
a diagnostic information generating unit that generates the diagnostic information using the total score values corresponding to each of the plurality of test hitting tools calculated by the score calculating unit,
The score calculation unit calculates the total score value by integrating the first score value and the multiplication value of the second score value and a numerical value indicating the rebound force of each hitting tool based on the weighting parameter. The hitting tool selection diagnostic system of claim 7, wherein the score calculation unit calculates the total score by integrating the first score value and the multiplication value of the second score value and a numerical value indicating the rebound force of each hitting tool based on the weighting parameter, and then dividing the integrated value by a numerical value indicating the price of each hitting tool. a measurement device configured to receive as input a swing behavior when a batter swings a hitting tool to hit an object, and to output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting;
a data analysis device that receives the first swing measurement data value and the second swing measurement data value when the batter swings each of three or more test hitting tools, and generates diagnostic information related to the selection of the hitting tool;
The data analysis device
a score calculation unit that calculates, for each of the plurality of test hitting tools, a first score value that is an index value of the operability of the hitting tool based on the first swing measurement data value, and a second score value that is an index value of the speed of the hit object based on the second swing measurement data value, and calculates a total score value by integrating the first score value and the second score value based on weighting parameters designated by the batter;
a diagnostic information generating unit that generates the diagnostic information using the total score values corresponding to each of the plurality of test hitting tools calculated by the score calculating unit,
A hitting tool selection diagnostic system in which the score calculation unit calculates the first score value or the second score value for at least one of the first swing measurement data value and the second swing measurement data value of each of the hitting tools using a statistically processed value that quantifies the relative relationship among the first swing measurement data value or the second swing measurement data value when each of the multiple test hitting tools is swung. The hitting tool selection diagnostic system of claim 1 , wherein the score calculation unit calculates the second score value from the second swing measurement data value for the swing behavior without using measurement data of the hit object. selecting a plurality of test hitting devices, three or more, based on user input;
and acquiring the first swing measurement data value and the second swing measurement data value for the swing behavior of each of the plurality of test hitting tools using a measuring device configured to input a swing behavior when a batter swings a hitting tool to hit an object, and output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of the hit;
The first swing measurement data value is an initial acceleration of the hitting tool at the start of the swing or a time required from the start of the swing to the impact,
For each of the plurality of test hitting tools, a first score value is calculated based on the first swing measurement data value, which is an index value of the operability of the hitting tool swung, and a second score value is calculated based on the second swing measurement data value, which is an index value of the speed of the hit object, and a total score value is calculated by integrating the first score value and the second score value based on a weighting parameter designated by the batter.
A hitting tool selection diagnostic method further comprising generating diagnostic information related to the selection of the hitting tool using the calculated total score value corresponding to each of the plurality of test hitting tools. selecting a plurality of test hitting devices, three or more, based on user input;
Using a measuring device configured to receive input of a swing behavior when a batter swings a hitting tool to hit an object, and output a first swing measurement data value that depends on the operability of the hitting tool and a second swing measurement data value that depends on the momentum of the hitting tool at the time of hitting, acquiring the first swing measurement data value and the second swing measurement data value for the swing behavior of each of the plurality of test hitting tools;
For each of the plurality of test hitting tools, a first score value is calculated based on the first swing measurement data value, which is an index value of the operability of the hitting tool swung, and a second score value is calculated based on the second swing measurement data value, which is an index value of the speed of the hit object, and a total score value is calculated by integrating the first score value and the second score value based on a weighting parameter designated by the batter.
and generating diagnostic information relating to the selection of the hitting tool using the calculated total score values corresponding to each of the plurality of test hitting tools;
A hitting tool selection diagnostic method in which the diagnostic information includes a function approximation equation for the total score value, using the moment of inertia value of each of the plurality of test hitting tools and the total score value corresponding to each of the plurality of test hitting tools , and the moment of inertia value as input. The hitting tool selection diagnostic method of claim 11, wherein the calculating step includes calculating the second score value from the second swing measurement data value for the swing behavior without using measurement data of the hit object. A program for causing a processor to execute the hitting tool selection diagnostic method according to any one of claims 11 to 13 .