JP2005326375A - Pressure distribution analytical system, pressure distribution analytical program, and ball catching tool design system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a pressure distribution analytical system capable of analyzing quantitatively force applied onto a body, and a ball catching tool design system using the same. <P>SOLUTION: This pressure distribution analytical system 1 for analyzing a distribution of pressure applied from an attached tool attached to at least one portion of the body to the body is provided with a pressure data input part 2 for inputting a time-serial data of the pressure detected by a pressure sensor 8 arranged between the attached tool and the body, when the body executes a series of actions, a polygon data input part 3 for inputting at least a partial shape data of the body as a three-dimensional polygon data, a pressure distribution calculating part 5 for calculating the pressure distribution on a surface of the body, based at least on the time-serial data of the pressure and the polygon data, and an output part 7 for displaying the pressure distribution calculated by the pressure distribution calculating part. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a pressure distribution analysis system that analyzes the pressure distribution on the surface of at least a part of a body based on pressure data, polygon data, and the like, and a ball catching device design system using the pressure distribution analysis system.

  For example, wearing tools such as ball catching tools and athletic shoes are required to fit body parts such as hands and feet. Furthermore, since the user almost always performs a certain operation while wearing these wearing tools, it is required that the operation is easy to handle (operability). For example, in the case of a baseball glove, a catching error is likely to occur unless the movement of the hand is efficiently transmitted to the glove.

  Therefore, research and development of easy-to-handle wearing tools is being conducted. A baseball glove with a structure that makes it easy to catch a ball has also been proposed (for example, Patent Document 1).

  However, human actions vary in various ways depending on time and circumstances, and even if the same action is used, there are individual differences, so each person is slightly different. For example, when a baseball glove is used to catch a ball, the outfielder and the infielder move differently, and the catching motion differs depending on the person. In the end, a variety of designs are required to provide an easy-to-handle wearing device that can handle such various movements.

  In order to perform such a variety of designs, it is preferable to quantitatively grasp the force applied to the body from the wearing tool when the body moves. However, since it was difficult to quantitatively grasp the force applied to the body during the movement of the body, the designer of the wearing device repeated trial and error based on many years of experience and feelings to create a structure that seems to be optimal. I was finding out.

As a result, there is a problem that the design man-hours become enormous and the time and cost required for the development of the wearing tool become enormous.
JP-A-2003-260162

  In view of the above problems, an object of the present invention is to provide a pressure distribution analysis system capable of quantitatively analyzing the force applied to the body when the body moves.

  In order to achieve the above object, a pressure distribution analysis system according to the present invention is a pressure distribution analysis system that analyzes a distribution of pressure applied to a body from a wearing tool attached to at least a part of the body. When performing a series of operations, a pressure data input unit for inputting time series data of pressure detected by a pressure sensor disposed between the wearing tool and the body, and shape data of at least a part of the body A polygon data input unit for inputting three-dimensional polygon data; a pressure distribution calculation unit for calculating a pressure distribution on the surface of the body based on at least the time-series data of the pressure and the polygon data; and the pressure distribution calculation unit And an output unit for displaying the pressure distribution calculated in (1).

  In addition, the ball catching tool design system according to the present invention is created based on the pattern data, a design unit that designs the ball catching tool, a design data storage unit that saves pattern data of the ball catching tool designed by the design unit, and A pressure data input unit for inputting time-series data of pressure detected by a pressure sensor disposed between the ball catching tool and the palm of the hand when the hand wearing the ball catching tool performs a series of operations; A polygon data input unit for inputting hand shape data as three-dimensional polygon data, a pressure distribution calculation unit for calculating hand pressure distribution based on at least pressure time-series data and polygon data, and a pressure distribution calculation unit The pressure distribution calculated in step 1 is developed at the corresponding location on the pattern of the catching tool designed by the design unit, and the pressure distribution developed by the pressure distribution development unit is displayed on the screen together with the structure of the pattern. table And an output unit that accepts a design change request to the structure of the paper on the screen, the design change receiving unit for changing the paper pattern data stored in the design data storage unit in accordance with the design change request.

  A pressure distribution analysis program according to the present invention is a pressure distribution analysis program for analyzing the distribution of pressure applied to the body from a wearing tool attached to at least a part of the body, and the body performs a series of operations. A pressure data input process for inputting time-series data of pressure detected by a pressure sensor disposed between the wearing tool and the body, and shape data of at least a part of the body as three-dimensional polygon data. Input polygon data input processing, pressure distribution calculation processing for calculating pressure distribution on the surface of the body based on at least the time series data of the pressure and the polygon data, and pressure distribution calculated by the pressure distribution calculation unit The computer executes an output process for displaying the message.

  According to the pressure distribution analysis system or the pressure distribution analysis program according to the present invention, it is possible to quantitatively analyze the force applied to the body when the body performs a series of actions. Moreover, according to the catching tool design system concerning this invention, it is a catching tool corresponding to operation | movement of a hand, Comprising: The design data of the catching tool which is easy to handle can be obtained efficiently. As a result, the time and cost for developing a catching tool are reduced.

  The “ball catching tool” includes, for example, a baseball glove (a pitcher glove, an infielder glove, an outfielder glove, a first-hand mitt, a catcher mitt, etc.), a softball glove, and the like.

  The pressure distribution analysis system according to the present invention is a pressure distribution analysis system that analyzes the distribution of pressure applied to the body from a wearing tool attached to at least a part of the body, and when the body performs a series of operations, A pressure data input unit for inputting time-series data of pressure detected by a pressure sensor disposed between the wearing tool and the body, and a polygon data input unit for inputting shape data of at least a part of the body as three-dimensional polygon data A pressure distribution calculation unit that calculates a pressure distribution on the surface of the body based on at least pressure time-series data and polygon data, and an output unit that displays the pressure distribution calculated by the pressure distribution calculation unit.

  In the pressure distribution analysis system according to the present invention, the pressure distribution calculation unit calculates the pressure distribution on the body based on the time series data of the pressure when the body performs a series of movements. The pressure distribution is calculated in consideration of the above. Therefore, a pressure distribution associated with a series of body movements is obtained. Since the obtained pressure distribution is displayed on the output unit, the user of this system can quantitatively grasp the force applied to the body when the body performs a series of actions.

  In the pressure distribution analysis system according to the present invention, the wearing tool is a ball catching tool, and the pressure data input by the pressure data input unit is obtained when the hand performs a series of operations. This is time-series data of pressure detected by a pressure sensor arranged between the palm and the pressure distribution calculation unit, which is a hand at the time when the pressure detected by the pressure sensor becomes a maximum in a series of actions performed by the hand. It is preferable to calculate the pressure distribution on the surface of the palm.

  The pressure distribution calculation unit calculates the pressure distribution at the time when the total pressure becomes maximum when the hand performs a series of movements, so the pressure distribution at the time when the force applied to the hand becomes larger than before and after is obtained. It is done. For this reason, the user of this system can know the pressure distribution at the time when the characteristics of the operation appear remarkably in a series of operations of the hand.

  In the pressure distribution analysis system according to the present invention, the wearing tool is a ball catching tool, and the pressure data input by the pressure data input unit is obtained when the hand performs a series of operations. This is time series data of pressure detected by the pressure sensor placed between the palm and the pressure distribution calculator calculates the temporal change in the pressure distribution on the palm of the hand in a series of actions performed by the hand. It is preferable to do.

  The pressure distribution calculation unit calculates the temporal change in the pressure distribution on the palm surface when the hand wearing the ball catching device performs a series of movements, so the pressure when the hand performs a series of movements. A temporal change in the distribution is obtained. Therefore, the user of this system can know temporal changes in the force applied to the hand when the hand performs a series of actions.

  The pressure distribution analysis system according to the present invention further includes a pressure distribution expansion unit that expands the pressure distribution calculated by the pressure distribution calculation unit to a corresponding location on the pattern of the catching tool, and the output unit includes the pressure distribution. It is preferable to display the pressure distribution developed on the paper pattern by the developing unit together with the structure of the paper pattern.

  Since the pressure distribution developing unit is further provided, the pressure distribution calculated by the pressure distribution calculating unit can be developed on the pattern paper. Since the output unit displays the pressure distribution developed on the paper pattern together with the structure of the paper pattern, the user of this system can know what force is applied to which part of the paper pattern.

  In the pressure distribution analysis system according to the present invention, the wearing tool is a shoe, and the pressure data input by the pressure data input unit is arranged between the shoe and the foot when the foot performs a series of operations. The pressure distribution calculation unit calculates the pressure distribution on the surface of the foot when the pressure detected by the pressure sensor reaches a maximum in a series of actions performed by the foot. It is preferable to do.

  The pressure distribution calculation unit calculates the pressure distribution at the time when the total pressure becomes maximum when the foot wearing the shoes performs a series of movements, so the force applied to the foot is larger than before and after. A pressure distribution is obtained. For this reason, the user of this system can know the pressure distribution at the time when the characteristics of the movement appear remarkably in the series of movements of the foot.

  In the pressure distribution analysis system according to the present invention, the wearing tool is a shoe, and the pressure data input by the pressure data input unit is between the shoe and the instep of the foot when the foot performs a series of operations. It is preferable that the pressure distribution calculation unit calculates a temporal change in the pressure distribution on the surface of the foot when the foot performs a series of movements. .

  The pressure distribution calculation unit calculates the temporal change in pressure distribution when a foot wearing shoes performs a series of movements, so that the temporal change in pressure distribution when a foot performs a series of movements can be obtained. . Therefore, the user of this system can know the temporal change in the force applied to the foot when the foot performs a series of movements.

  A catching tool design system according to the present invention includes a design unit that designs a catching tool, a design data storage unit that saves pattern data of the catching tool designed by the design unit, and a catch created based on the pattern data. A pressure data input unit for inputting time-series data of pressure detected by a pressure sensor disposed between the ball-carrying device and the palm of the hand when the hand wearing the ball device performs a series of movements; Data input unit that inputs shape data as 3D polygon data, pressure distribution calculation unit that calculates hand pressure distribution based on at least pressure time series data and polygon data, and pressure distribution calculation unit The pressure distribution developed at the corresponding location on the pattern of the ball catching tool designed by the design unit, and the pressure distribution developed by the pressure distribution developed unit are displayed on the screen together with the pattern structure. Includes a radical 19 accepts a design change request to the structure of the paper on the screen, the design change receiving unit for changing the paper pattern data stored in the design data storage unit in accordance with the design change request.

  The design change accepting unit accepts a design change request for the pattern structure on the screen on which the developed pressure distribution is displayed together with the pattern structure. Therefore, the user of this system may make an accurate design change request. it can. The design change accepting unit changes the pattern data stored in the design data storage unit in response to an appropriate design change request. Therefore, it is possible to efficiently obtain design data for a catching tool corresponding to the movement of the hand and easy to handle. As a result, the time and cost for developing a catching tool are reduced.

  The pressure distribution analysis program according to the present invention is a pressure distribution analysis program for analyzing the pressure distribution applied to the body from a wearing tool attached to at least a part of the body, and when the body performs a series of operations. Pressure data input processing for inputting time-series data of pressure detected by a pressure sensor disposed between the wearing tool and the body, and polygon data input for inputting at least a part of the body shape data as three-dimensional polygon data Processing, pressure distribution calculation processing for calculating the pressure distribution on the surface of the body based on at least pressure time-series data and polygon data, and output processing for displaying the pressure distribution calculated by the pressure distribution calculation section on the computer. Let it run.

  In the pressure distribution analysis program according to the present invention, the wearing tool is a ball catching tool, and the pressure data input in the pressure data input process is the same as when the hand performs a series of operations. This is time-series data of pressure detected by a pressure sensor placed between the palm and the pressure distribution calculation process, which is performed when the pressure detected by the pressure sensor reaches a maximum in a series of actions performed by the hand. It is preferable to calculate the pressure distribution on the surface of the palm.

  In the pressure distribution analysis program according to the present invention, the wearing tool is a ball catching tool, and the pressure data input in the pressure data input process is obtained when the hand performs a series of operations. Time series data of pressure detected by a pressure sensor placed between the palm and the pressure distribution calculation process calculates the temporal change in pressure distribution on the palm of the hand in a series of hand movements It is preferable to do.

  The pressure distribution analysis program according to the present invention causes the computer to further execute a pressure distribution expansion process for expanding the pressure distribution calculated in the pressure distribution calculation process to a corresponding location on the pattern of the catching tool, and the output process includes: It is preferable to display the pressure distribution developed on the paper pattern by the pressure distribution development process together with the structure of the paper pattern.

  In the pressure distribution analysis program according to the present invention, the wearing tool is a shoe, and the pressure data input in the pressure data input process is arranged between the shoe and the foot when the foot performs a series of operations. The pressure distribution calculation process calculates the pressure distribution on the foot surface at the time when the pressure detected by the pressure sensor reaches the maximum in a series of actions performed by the foot. It is preferable to do.

  In the pressure distribution analysis program according to the present invention, the wearing tool is a shoe, and the pressure data input in the pressure data input process is arranged between the shoe and the foot when the foot performs a series of operations. It is preferable that the pressure distribution calculation process calculates a temporal change in the pressure distribution on the surface of the foot when the foot performs a series of movements.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

(Embodiment 1)
The first embodiment is a pressure distribution analysis system that analyzes a pressure distribution in a hand when a hand wearing a baseball glove performs a series of actions. FIG. 1 is a functional block diagram showing an example of the configuration of the pressure distribution analysis system according to Embodiment 1 of the present invention.

  As shown in FIG. 1, the pressure distribution analysis system 1 includes a pressure data input unit 2, a polygon data input unit 3, a storage unit 4, a pressure distribution calculation unit 5, a pressure distribution development unit 6, and an output unit 7. The pressure distribution analysis system 1 is constructed in, for example, a personal computer (hereinafter referred to as a personal computer). In this case, the functions of the pressure data input unit 2, the polygon data input unit 3, the pressure distribution calculation unit 5, and the pressure distribution development unit 6 are realized by the CPU of the personal computer executing a predetermined program. A hard disk of a personal computer can be used as the storage unit 4. A display device including a personal computer display can be used as the output unit 7.

  Programs for realizing the functions of the pressure data input unit 2, polygon data input unit 3, pressure distribution calculation unit 5, pressure distribution development unit 6, and output unit 7, for example, from a storage medium such as a CD-ROM or communication The pressure analysis system 1 can be constructed by installing in an arbitrary personal computer by downloading via a line or the like.

  The pressure data input unit 2 reads the pressure data from the pressure sensor 8 attached to the hand 10 wearing the grab 9 and stores it in the storage unit 4. The pressure data input unit 2 preferably includes an interface for receiving data from the pressure sensor 8.

  The pressure sensor 8 is, for example, a rectangular sheet having a total of 16 pressure-sensitive elements in 4 × 4. A plurality of sheets are divided for each finger joint and directly attached to the skin of the player's hand 10.

  The polygon data input unit 3 calculates polygon data based on the shape data of the hand 10 obtained by the shape measuring instrument 11 and stores it in the storage unit 4. The shape data obtained by the shape measuring instrument 11 is, for example, a three-dimensional shape of the body represented by a set of three-dimensional coordinates. The polygon data calculated based on the shape data represents the surface of a three-dimensional shape as a set of polygons (polygons).

  The pressure distribution calculation unit 5 calculates the pressure distribution on the hand 10 based on the pressure data and polygon data stored in the storage unit 4 and stores the pressure distribution in the storage unit 4. The pressure distribution is, for example, a collection of a plurality of data in which a value indicating a position and a pressure value at that position are paired.

  The pressure distribution developing unit 6 calculates the pressure distribution developed on the pattern based on the pressure distribution stored in the storage unit 4 and the baseball glove pattern data stored in the design data storage unit 12. Save to 4. The pattern data is stored in the design data storage unit 12 in advance.

  The output unit 7 displays the pressure distribution stored in the storage unit 4 and the pressure distribution developed on the paper pattern on a display or the like.

  Next, the operation of the pressure distribution analysis system 1 according to the present embodiment will be described with reference to FIG. 1 and FIG. FIG. 2 is a flowchart showing the operation of the pressure distribution analysis system 1 according to the present exemplary embodiment.

  First, the pressure applied to the hand 10 when the player performs a series of operations such as a ball catching operation with the hand 10 wearing the grab 9 is measured by the pressure sensor 8 (step 203).

  In step 401, the pressure data input unit 2 receives data measured by the pressure sensor 8 and stores it in the storage unit 4. The pressure data input unit 2 may receive pressure data directly from the pressure sensor 8 or may read a file in which the pressure data measured by the pressure sensor 8 is stored. The pressure data is time-series data of the pressure measured by the pressure sensor 8, and includes, for example, a pressure sensitive element number, an elapsed time after the start of measurement, a measurement start time, a measurement end time, a pressure value, a measurement area, measurement accuracy, and sampling. Consists of frequency. In other words, pressure data can be obtained by recording temporal changes in pressure values measured by the respective pressure sensitive elements.

  Apart from the pressure data measurement (step 203), the shape measuring instrument 11 measures the shape of the hand 10 (step 301). The shape measuring instrument 11 measures the shape of the hand 10 using, for example, X-rays or ultrasonic waves. The shape data to be measured is composed of a set of three-dimensional coordinates, for example. In addition, it is preferable that the hand that is the object of shape measurement is the same as the hand 10 that is the object of pressure measurement in Step 203.

  In step 402, the polygon data input unit 3 generates polygon data based on the shape data of the hand 10. FIGS. 3A, 3B, 3C, and 3D are display examples when the figure of the hand 10 represented by polygon data is displayed three-dimensionally. The polygon data is composed of, for example, the shape of the polygon, the vertex number constituting the polygon, and the vertex coordinates of the polygon.

  In step 403, the polygon data input unit 3 stores the polygon data of the hand 10 in the storage unit 4.

  In step 404, the pressure distribution calculation unit 5 calculates the pressure distribution on the surface of the hand 10. The pressure distribution is calculated by obtaining the pressure value in each polygon of the polygon data of the hand 10.

  The pressure in one polygon can be obtained as follows, for example. Since the pressure data input in step 401 is a set of pressure values in each pressure sensitive element of the pressure sensor 8, first, the three-dimensional coordinates of each pressure sensitive element are obtained. The coordinates of the pressure sensitive element can be obtained based on the distance from the reference position. For example, the coordinates of the pressure sensitive element provided on the fingertip side from the middle finger first joint are obtained based on the distance from the middle finger first joint to the pressure sensitive element with the coordinates of the middle finger first joint as the reference position. Next, which pressure-sensitive element is arranged on which polygon is determined from the coordinates of each pressure-sensitive element and the coordinates of the apex of each polygon, and a pressure-sensitive element number is associated with each polygon. The pressure value of the pressure sensitive element associated with each polygon is the pressure in each polygon.

  When the number of pressure sensitive elements is smaller than the number of polygons, pressure data corresponding to each polygon can be generated by interpolating pressure data. For the interpolation, for example, a linear smoothing filter or a smoothing filter can be used. Also, a smooth pressure distribution can be obtained by interpolating the pressure values in each polygon.

  A set of pressure values in each polygon obtained in this way is a pressure distribution. The calculated pressure distribution is stored in the storage unit 4.

In the pressure distribution calculation, when the hand wearing the grab 9 performs a series of operations, the pressure in each polygon at the time when the total pressure becomes maximum can be obtained. Here, the total pressure is the sum of the forces applied to the pressure sensitive elements included in the pressure sensor 8 divided by the total area of the pressure sensitive elements. FIG. 4A is a graph showing how the force applied to the hand changes with time when the hand 10 wearing the grab 9 performs a catching action. FIG. 4B is a graph showing how the overall pressure changes with time when the hand 10 wearing the grab 9 performs a catching action. In the graph of FIG. 4A, the vertical axis represents force (kgf), and the horizontal axis represents elapsed time (seconds) after the start of measurement. In the graph of FIG. 4B, the vertical axis represents pressure (gf / cm ² ), and the horizontal axis represents elapsed time (seconds) after the start of measurement. In these graphs, when about 1.1 seconds have elapsed from the start of measurement, the entire pressure or force is maximum. Further, even when about 0.9 seconds have elapsed from the start of measurement, the entire pressure or force is at a maximum. At 0.9 seconds after the start of measurement, the entire pressure is maximum due to the ball hitting the grab. On the other hand, at the time of 1.1 seconds after the start of measurement, the entire pressure is maximized by the action of the hand 10 gripping the ball. By calculating the pressure distribution at the time of 1.1 seconds after the start of measurement, the pressure distribution at the time when the characteristics of the catching action of the hand 10 appear remarkably can be obtained.

  As shown in the graph of FIG. 4, the appearance of two maximum values of the total pressure during the reinforcing operation indicates that there is a time difference from when the ball hits the grab until it is gripped. This time difference varies depending on the person performing the reinforcing operation. Skilled baseball players tend to have less time to hit after grabbing the ball than to beginners of baseball.

  In the graph shown in FIG. 4, the force (pressure) applied to the hand when the hand grabs the ball is maximum, but the force (or pressure) when the ball hits the grab is greater, It may be greater than the force (or pressure) at the time the hand grabs the ball.

  In the pressure distribution calculation, it is also possible to obtain a temporal change in pressure in each polygon when the hand 10 wearing the grab 9 performs a series of operations. By obtaining the temporal change in pressure in each polygon, the temporal change in pressure distribution can be obtained.

  In step 405, the output unit 7 displays the pressure distribution stored in the storage unit 4 on the display.

  5 and 8 show examples of pressure distribution display. FIG. 5 is a display example in which, for example, the pressure distribution on the surface of the hand 10 at the time when the total pressure becomes maximum when the hand 10 of the infielder catches the ball is displayed. FIG. 8 is a display example in which, for example, the pressure distribution on the surface of the hand 10 at the time when the total pressure becomes maximum when the outfielder's hand 10 catches the ball is displayed.

5 and 8, a portion of the surface of the hand 10 where the pressure is 230 gf / cm ² or more is indicated by hatching. By such a display, the designer can know a place where the pressure is larger than the other parts in the ball catching operation of the infielder or the outfielder.

In FIGS. 5 and 8, the portion of 230 gf / cm ² or more is shown by hatching for easy understanding, but the display mode on the display is arbitrary. For example, portions of the pressure less than the 5 gf / cm ² or more 30 gf / cm ² is dark green, 30 gf / cm ² or more 55gf / cm ² less part green, 55gf / cm ² or more 80 gf / cm ² less parts yellow-green ... May be displayed with the color changed depending on the pressure value. In addition, each polygon may be displayed with a corresponding color, or a line (isobar) connecting the same pressure points on the surface of the hand may be displayed in a color-coded manner along the isobar. May be.

  Further, in order to express the temporal change of pressure in each polygon, the color on each polygon may be changed according to the temporal change of pressure and displayed as a moving image. With such a display, the designer can know the change in movement when the hand 10 performs a catching action, the time from when the ball hits the grab to the start of the grasping action, and the like.

  Alternatively, the movement of the hand may be expressed by deforming the polygon in accordance with the actually measured three-dimensional movement of the hand. This makes it easier for the designer to grasp the hand movement during catching.

  5 and 8 illustrate only an image viewed from the palm side of the hand, but since the shape of the hand is represented by polygon data, the image viewed from various directions should be displayed. Can do. It is preferable that the designer can select the viewing direction and the display mode of the pressure distribution.

  In step 406, the paper pattern developing unit 6 develops the pressure distribution calculated in step 404 to a corresponding location on the paper pattern of the grab. The pressure distribution developed on the pattern paper is stored in the storage unit 4.

  The development of the pressure distribution on the pattern is performed, for example, by the following method. First, the polygon data of the hand 10 stored in the storage unit 4 and the pattern data stored in the design data storage unit 12 are read, and the points on the pattern corresponding to the vertices (represented by three-dimensional coordinates) of each polygon are read out. Find the coordinates (two-dimensional coordinates). As a result, there are a plurality of plane regions corresponding to the polygons on the pattern. Next, the pressure value in each polygon is set as the pressure value in the corresponding region on the pattern. A set of pressure values in a plurality of planar regions on the pattern paper is a developed pressure distribution. In addition, a smooth pressure distribution can be obtained by interpolating pressure values in a plurality of plane regions. For the interpolation, for example, a linear smoothing filter or a smoothing filter can be used.

In step 407, the output unit 7 displays the developed pressure distribution stored in the storage unit 4 on the display together with the structure of the grab pattern. FIG. 6 is a display example of the pressure distribution, and a display example of the pressure distribution on the surface of the hand 10 at the time when the total pressure becomes maximum when the hand 10 of the infielder catches the ball is developed on the pattern paper. It is. In FIG. 6, lines (isobars) connecting portions having equal pressure on the paper pattern are attached and color-coded display is performed every 25 gf / cm ² along the isobars. By displaying the developed pressure distribution on the display, the designer can determine which part of the pattern the place where the pressure applied to the hand 10 is larger than the other part in the infielder's catching action. Can know.

  Moreover, you may display with a moving image so that an isobar may change with time. By displaying such a moving image, the designer can know the temporal change in the pressure distribution on the pattern.

  According to the present embodiment, the designer looks at the pressure distribution of the hand 10 displayed in step 405 and the pressure distribution on the pattern displayed in step 407, and corresponds to the catching operation of the hand 10, Moreover, it is possible to efficiently design a grab that is easy to handle.

  For example, the designer looks at the pressure distribution on the surface of the hand 10 during the catching motion of the infielder as shown in FIG. 5, and during the catching motion, the power is mainly applied to the little finger, ring finger, and middle finger. You can know that it is in. In addition, the designer predicts the movement of the hand 10 when the infielder catches the ball by looking at the time change of the pressure distribution on the surface of the hand 10 in the infielder's catching motion displayed on the moving image. can do.

  Next, by looking at the pressure distribution on the pattern as shown in FIG. 6, the designer can predict which position on the pattern corresponds to the portion to which the force is particularly applied when catching the ball. As a result, as shown in FIG. 7, the designer can predict a line j where the pattern is bent when the infielder catches the ball. Therefore, it can be seen that it is only necessary to reinforce a portion to which a force is applied along the bending line j. By reinforcing in this way, the bending resistance (degree of resistance to bending deformation) of the reinforced portion is increased. FIG. 10 is a graph showing the difference in bending resistance between the case of blank (leather only) and the case of reinforcement with three kinds of reinforcing materials. The softness of the leather reinforced with the reinforcing material is greater than that of the blank. When the bending resistance increases, the leather becomes difficult to deform. Therefore, the transmission loss of force is reduced, and the force of the hand 10 is efficiently transmitted to the grab 9. As a result, by creating a grab using a reinforced paper pattern as shown in FIG. 7, a grab corresponding to the movement of the hand 10 of the infielder and easy to handle can be obtained.

  FIG. 8 is a display example of the pressure distribution on the surface of the hand 10 when the overall pressure reaches a maximum when the outfielder's hand 10 catches the ball. The designer sees the pressure distribution display as shown in FIG. 8 and understands that the force is concentrated on the little finger, the entire ring finger, and the tip of the thumb when the outfielder performs the catching motion. From this, when the outfielder performs a catching action, it is predicted that the action is such that the ball is grabbed mainly with the thumb, little finger, and ring finger. Therefore, as shown in FIG. 9, the designer can predict a line k at which the pattern is bent when the outfielder catches the ball. Therefore, by reinforcing the portion where the force concentrates along the line k, a structure is obtained in which the force of the little finger and ring finger is easily transmitted to the grab. As a result, by creating a grab using a reinforced paper pattern as shown in FIG. 9, a grab corresponding to the movement of the hand 10 of the outfielder and easy to handle can be obtained.

  In the present embodiment, the case where one player analyzes the pressure distribution in the hand when performing one catching action is illustrated, but the present invention is not limited to this. That is, the average pressure distribution in a plurality of ball catching operations may be calculated using the pressure data when a single player performs a ball catching operation as a plurality of times as input data.

  Further, the average pressure distribution in the catching motion of the plurality of players may be calculated using the pressure data when the plurality of players perform the same catching motion as input data. For example, by calculating an average pressure distribution in a ball catching motion of a plurality of infielders, it is possible to know hand movements common to the infielders.

  In the present embodiment, the wearing tool is a baseball glove, and the system for analyzing the pressure distribution in the hand when the hand wearing the baseball glove performs a series of operations is exemplified. It is not limited to. That is, softball gloves, baseball gloves (for example, under gloves attached to grabs, batter gloves, runner gloves, etc.), golf gloves, ski gloves, snowboard gloves, soccer keeper gloves, bicycles A pressure distribution analysis system for analyzing the pressure when a hand wearing a wearing tool such as a glove performs a series of actions is also included in the present invention.

(Embodiment 2)
Another embodiment of the present invention will be described below. Embodiment 2 is a baseball glove design system including a pressure distribution analysis system for analyzing pressure distribution in a hand when a hand wearing the baseball glove performs a series of operations.

  FIG. 11: is a functional block diagram which shows an example of a structure of the design system of the catching tool in Embodiment 2 of this invention. In the block diagram shown in FIG. 11, the same blocks as those in the block diagram shown in FIG.

  The block diagram shown in FIG. 11 is different from FIG. 1 in that a design unit 13 and a design change receiving unit 17 are provided. The design unit 13 designs the structure of the grab pattern and stores the designed grab pattern data in the design data storage unit 12. The design change receiving unit 17 preferably includes a GUI (Graphical User Interface) for receiving an input from the designer on a screen such as a display provided in the output unit 7.

  The operation of the design system according to the present embodiment will be described with reference to FIGS. 11 and 12. FIG. 12 is a flowchart showing the operation of the design system according to the present exemplary embodiment.

  First, the design unit 13 designs a grab pattern (step 201). For example, CAD can be used as the design unit 13. The pattern data designed by the design unit 13 is stored in the design data storage unit 12. The pattern data includes data such as grab pattern shape, string hole shape and position, sewing position, and part combination position.

  Next, the grab designed in step 201 is created based on the pattern data (step 202).

  Next, in step 202, the player performs a ball catching operation with the hand wearing the created grab and measures the pressure applied to the hand. The details of the pressure measurement method are the same as the method described in the first embodiment. The measured pressure data is sent to the pressure data input unit 2 of the pressure distribution analysis system 1.

  The subsequent operation of the pressure distribution analysis system 1 (step 401 to step 407) and the shape measurement operation (step 301) are the same as the operations described in the first embodiment, and thus description thereof is omitted.

  In the pressure distribution analysis system 1, after the output unit 7 displays the pressure distribution on the pattern (step 407), in step 501, the design change receiving unit 17 receives a design change request from the designer. A design change request can be made by a designer specifying a location to be reinforced with a pointing device such as a mouse on a screen on which a pressure distribution developed on a pattern is displayed and inputting a change command. . When receiving a design change request from the designer, the design change accepting unit 17 changes the pattern data stored in the design data storage unit 12 based on the design change request (step 201). Thereafter, the processing from step 401 to step 407 and step 501 is repeated through step 202 and step 203.

  According to the present embodiment, the design change accepting unit 17 accepts a design change request for the pattern structure on the screen on which the developed pressure distribution as shown in FIG. 6 is displayed together with the pattern structure. The designer can make an exact design change request. The design change accepting unit 17 changes the pattern data stored in the design data storage unit 12 in response to an appropriate design change request. Therefore, it is possible to efficiently obtain design data of a grab corresponding to the movement of the hand and easy to handle. As a result, the time and cost required for grab development are reduced.

  If no design change request is input in step 501, the process ends.

(Embodiment 3)
The third embodiment is a pressure distribution analysis system that analyzes the pressure distribution in the instep when a foot wearing a shoe performs a series of actions. FIG. 13 is a functional block diagram showing an example of the configuration of the pressure distribution analysis system according to Embodiment 3 of the present invention. In the block diagram shown in FIG. 13, the same blocks as those in the block diagram shown in FIG.

  As shown in FIG. 13, the pressure distribution analysis system 18 includes a pressure data input unit 2, a polygon data input unit 3, a storage unit 4, a pressure distribution calculation unit 5, and an output unit 7.

  The pressure data input unit 2 reads the pressure data from the pressure sensor 16 and stores it in the storage unit 4. The pressure sensor 16 is directly attached to the skin of the back of the foot 15 of the player wearing the shoes 14. The pressure data input unit 2 preferably includes an interface for receiving data from the pressure sensor 16.

  The pressure sensor 16 is, for example, a sheet in which eight pressure sensitive elements are arranged vertically. A plurality of sheets are attached directly to the skin on the back side of the foot 15 along the bones of the fingers. In addition, the pressure sensor 16 can also be arrange | positioned also at the toe tip, side, bottom face, etc. as needed.

  The pressure data input unit 2, polygon data input unit 3, storage unit 4, and pressure distribution calculation unit 5 are the same as those shown in the block diagram of FIG. The output unit 7 displays the pressure distribution stored in the storage unit 4 on a display or the like.

  Next, the operation of the pressure distribution analysis system 18 according to the present embodiment will be described with reference to FIGS. FIG. 14 is a flowchart showing the operation of the pressure distribution analysis system 18 according to the present exemplary embodiment. Each step in the flowchart shown in FIG. 14 is the same as each step in the flowchart shown in FIG. 2 except for the points described below. Therefore, the corresponding steps are denoted by the same reference numerals and description thereof is omitted.

  First, the pressure applied to the foot 15 is measured by the pressure sensor 16 when the player performs a series of operations such as an operation of stepping or kicking a ball with the foot 15 wearing the shoes 14 (step 203).

  In step 401, the pressure data input unit 2 receives data measured by the pressure sensor 16 and stores it in the storage unit 4. The pressure data is time-series data of the pressure measured by the pressure sensor 16, and includes, for example, a pressure sensitive element number, an elapsed time after the start of measurement, a measurement start time, a measurement end time, a pressure value, a measurement area, measurement accuracy, and sampling. Consists of frequency.

  The shape measurement (step 301) is the same as the shape measurement step in FIG. It is preferable that the foot that is the object of shape measurement is the same as the foot 15 that is the object of pressure measurement in step 203.

  In step 402, the polygon data input unit 3 generates polygon data based on the shape data of the foot 15. FIGS. 15A, 15 </ b> B, 15 </ b> C, and 15 </ b> D are display examples when a figure represented by the polygon data of the foot 15 is displayed three-dimensionally. The polygon data is composed of, for example, the shape of the polygon, the vertex number constituting the polygon, and the vertex coordinates of the polygon.

  In step 403, the polygon data input unit 3 stores the polygon data of the foot 15 in the storage unit 4.

  In step 404, the pressure distribution calculation unit 5 calculates the pressure distribution on the surface of the foot 15. The pressure distribution is calculated by obtaining the pressure value in each polygon of the polygon data of the foot 10.

  The pressure in one polygon can be obtained as follows, for example. Since the pressure data input in step 401 is a set of pressure values in each pressure sensitive element of the pressure sensor 16 attached to the foot 15, first, the three-dimensional coordinates of each pressure sensitive element are obtained. The coordinates of each pressure sensitive element can be obtained based on the distance from the reference position. For example, as shown in FIG. 16, the second finger metatarsal head portion e that hits the base of the index finger, the scaphoid bone head f that is a protrusion under the ankle, or the thumb side of the metatarsal joint (MP joint) The projection g (first finger metatarsal protrusion) and the little finger side protrusion h (fifth finger metatarsal protrusion) can be used as the reference position. The coordinates of each pressure sensitive element are obtained based on the distance from these reference points to each pressure sensitive element. Next, which pressure-sensitive element is arranged on which polygon is determined from the coordinates of each pressure-sensitive element and the coordinates of the apex of each polygon, and a pressure-sensitive element number is associated with each polygon. The pressure value of the pressure sensitive element associated with each polygon is the pressure in each polygon.

  When the number of pressure sensitive elements is smaller than the number of polygons, pressure data corresponding to each polygon can be generated by interpolating pressure data. Also, a smooth pressure distribution can be obtained by interpolating the pressure values in each polygon.

  A set of pressure values in each polygon obtained in this way is a pressure distribution. The calculated pressure distribution is stored in the storage unit 4.

In the pressure distribution calculation, when the foot 15 wearing the shoes 14 performs a series of actions, the pressure in each polygon at the time when the overall pressure becomes maximum can be obtained. FIG. 17A is a graph showing how the overall pressure changes with time when the foot 15 wearing the shoe 14 performs an operation of stepping. FIG. 17B is a graph showing how the overall pressure changes with time when the foot 15 wearing the shoe 14 performs an action of kicking the ball. In the graphs of FIGS. 17A and 17B, the vertical axis represents pressure (gf / cm ² ), and the horizontal axis represents elapsed time (seconds) after the start of measurement. In the graph shown in FIG. 17 (a), the overall pressure is maximized when about 2.15 seconds have elapsed from the start of measurement and when about 3.1 seconds have elapsed. At the point of 2.15 seconds after the start of measurement, the pressure from the shoe 14 has increased due to the foot 15 taking the first step, and thus the overall pressure is at a maximum. At the time point of 3.1 seconds after the start of measurement, the entire pressure is maximized because the foot 15 has taken the second step. By calculating the pressure distribution at the time of 2.1 seconds or 3.1 seconds after the start of measurement, the pressure distribution at the time when the characteristics of the action of the foot 15 stepping out can be obtained.

  In the graph shown in FIG. 17 (b), the total pressure reaches a maximum when about 1.35 seconds have elapsed from the start of measurement. At 1.35 seconds after the start of measurement, the pressure from the shoe 14 increased due to the foot 15 kicking the ball, so that the overall pressure reached a maximum. By calculating the pressure distribution at the time point of 1.35 seconds after the start of measurement, the pressure distribution at the time point when the characteristic of the action of the foot 15 kicking the ball appears remarkably can be obtained.

  In the pressure distribution calculation, it is also possible to obtain a temporal change in pressure in each polygon when the foot 15 wearing the shoes 14 performs a series of operations. By obtaining the temporal change in pressure in each polygon, the temporal change in pressure distribution can be obtained.

  In step 405, the output unit 7 displays the pressure distribution stored in the storage unit 4 on the display.

18 and 19 show display examples of the pressure distribution. FIG. 18A is a display example in which the pressure distribution on the upper surface of the foot 15 is displayed at the moment when the soccer player kicks the ball by the instep kick. FIG. 18B is a display example in which the pressure distribution on the surface of the instep of the foot 15 at the moment when the soccer player kicks the ball by the outside kick is displayed. In the display examples shown in FIGS. 18A and 18B, the portion of the surface of the foot 15 where the pressure is 150 gf / cm ² or more is hatched. The designer can know the portion where the force is most applied at the moment when the foot 15 kicks the ball by looking at the displays as shown in FIGS. 18 (a) and 18 (b). As a result, the designer can efficiently design a shoe having a structure that can cope with various operations such as an instep kick and an outside kick, has good operability, and has excellent durability.

It is also possible to use the analysis results of this system for designing custom-made shoes. For example, FIG. 19A is a display example in which the pressure distribution on the surface of the back of the foot 15 at the moment when the soccer player A steps on the step is displayed. FIG. 19B is a display example in which the pressure distribution on the surface of the back of the foot 15 at the moment when another soccer player B steps on the step is displayed. In the display examples shown in FIGS. 19A and 19B, the portion of the upper surface of the foot 15 where the pressure is 150 gf / cm ² or more is indicated by hatching. Comparison of FIG. 19A and FIG. 19B shows that the pressure distribution on the surface of the foot 15 varies depending on the player even in the same kind of motion. The designer can see the display as shown in FIGS. 19A and 19B and know the portion to which the most force is applied at the moment when the foot 15 of each player steps. As a result, the designer can efficiently design a shoe having a structure corresponding to each player's unique motion, having good operability and excellent durability.

  18 and 19, the pressure distribution at the time when the foot 15 kicks the ball or when the foot 15 steps on the step is displayed. On the other hand, in order to express the temporal change of pressure in each polygon, the color on each polygon may be changed according to the temporal change of pressure and displayed as a moving image. With such a display, the designer can know a change in movement or the like when the foot 10 performs an action of kicking the ball after stepping.

  Further, the motion of the foot may be expressed by deforming the polygon data in accordance with the actually measured three-dimensional motion of the foot. This makes it easier for the designer to grasp the movement of the foot when kicking the ball after stepping.

  18 and 19 illustrate only images viewed from the back side of the foot, but since the shape of the foot is represented by polygon data, images viewed from various directions should be displayed. Can do. For example, FIG. 20 is a display example that displays the pressure distribution on the surface of the foot when the foot is viewed obliquely from the front. In the display example shown in FIG. 20, a line (isobar) connecting portions having the same pressure is attached to the surface of the foot. Although not shown, it may be displayed by color-coded for each pressure along the isobaric line. It is preferable that the designer can select the viewing direction and the display mode of the pressure distribution.

  In the present embodiment, a system for analyzing the pressure distribution in the foot when the wearing tool is a shoe (particularly a soccer shoe) and the foot wearing the shoe performs a stepping operation or a ball kicking operation is provided. Although illustrated, the present invention is not limited to this. That is, shoes are developed according to various uses and sporting events. For example, the pressure distribution in the foot when performing a specific operation for each sporting event etc. is analyzed for pressure distribution according to the present invention. By analyzing with a system, it becomes easy to grasp a desirable shoe form in each competition event or the like.

  In addition, the wearing tool in the present invention is not limited to a ball catching tool or shoes, but analyzes the pressure when a body wearing a wearing device such as a shin guard, a protector, a helmet, goggles or the like performs a series of actions. A pressure distribution analysis system is also included in the present invention.

  INDUSTRIAL APPLICABILITY The present invention can be used as a pressure distribution analysis system capable of quantitatively analyzing the force applied to the body when the body performs a series of actions, and a catching tool design system using the pressure distribution analysis system.

It is a functional block diagram of the pressure distribution analysis system concerning Embodiment 1 of the present invention. It is a flowchart which shows operation | movement of the pressure distribution analysis system in Embodiment 1 of this invention. It is a display example when the figure of the hand 10 represented by polygon data is displayed three-dimensionally. (A) is a graph which shows how the force concerning a hand is changing with time when the hand 10 equipped with the grab 9 performs a catching action. (B) is a graph which shows how the whole pressure when the hand 10 equipped with the grab 9 performs the catching operation changes with time. It is a display example of the pressure distribution on the surface of the hand 10 when the hand 10 of the infielder performs a ball catching operation. It is a display example of what developed the pressure distribution of the surface of the hand 10 on a pattern paper. It is a figure which shows an example of the structure of the pattern of the infielder's glove. It is a display example of the pressure distribution on the surface of the hand 10 when the hand 10 of the outfielder performs a catching operation. It is a figure which shows an example of the structure of the pattern of the glove for outfielders. It is a graph showing the difference in bending resistance between a blank (leather only) and leather reinforced with three types of reinforcing materials. It is a functional block diagram of the grab design system concerning Embodiment 2 of the present invention. It is a flowchart which shows operation | movement of the grab design system in Embodiment 2 of this invention. It is a functional block diagram of the pressure distribution analysis system concerning Embodiment 3 of this invention. It is a flowchart which shows operation | movement of the pressure distribution analysis system in Embodiment 3 of this invention. It is a display example when the figure of the foot 15 represented by polygon data is displayed three-dimensionally. FIG. 6 is a diagram illustrating an example of a position serving as a reference point on a foot 15. (A) is a graph which shows how the whole pressure at the time of performing the operation | movement which the foot | leg 15 which wore the shoes 14 stepped on is changing with time. (B) is a graph showing how the overall pressure changes with time when the foot 15 wearing the shoe 14 performs an action of kicking the ball. It is a display example of the pressure distribution on the surface of the foot 15 when the player kicks the ball. It is a display example of the pressure distribution on the surface of the foot 15 when the player steps on the step. 3 is an example of pressure distribution display on the surface of a foot 15;

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Pressure distribution analysis system 2 Pressure data input part 3 Polygon data input part 4 Memory | storage part 5 Pressure distribution calculation part 6 Pressure distribution expansion | deployment part 7 Output part 8 Pressure sensor 9 Grab 10 Hand 11 Shape measuring instrument 12 Design data storage part 13 Design part 14 Shoes 15 Feet 16 Pressure Sensor 17 Design Change Accepting Unit 18 Pressure Distribution Analysis System

Claims (13)

A pressure distribution analysis system for analyzing a distribution of pressure applied to the body from a wearing tool attached to at least a part of the body,
A pressure data input unit for inputting time-series data of pressure detected by a pressure sensor disposed between the wearing tool and the body when the body performs a series of movements;
A polygon data input unit for inputting shape data of at least a part of the body as three-dimensional polygon data;
A pressure distribution calculation unit for calculating a pressure distribution on the surface of the body based on at least the time-series data of the pressure and the polygon data;
A pressure distribution analysis system comprising: an output unit that displays the pressure distribution calculated by the pressure distribution calculation unit. The wearing tool is a ball catching tool,
The pressure data input by the pressure data input unit is time-series data of pressure detected by a pressure sensor disposed between the ball catching tool and the palm of the hand when a hand performs a series of operations. Because
2. The pressure distribution according to claim 1, wherein the pressure distribution calculation unit calculates the pressure distribution on the surface of the palm of the hand at a time when the pressure detected by the pressure sensor becomes a maximum in a series of operations performed by the hand. Analysis system. The wearing tool is a ball catching tool,
The pressure data input by the pressure data input unit includes time-series data of pressure detected by a pressure sensor disposed between the ball catching tool and the palm of the hand when a hand performs a series of operations. Because
The pressure distribution analysis system according to claim 1, wherein the pressure distribution calculation unit calculates a temporal change in the pressure distribution on the palm surface of the hand in a series of actions performed by the hand. A pressure distribution developing unit that develops the pressure distribution calculated by the pressure distribution calculating unit at a corresponding location on the pattern of the catching tool;
The pressure distribution analysis system according to claim 2 or 3, wherein the output unit displays the pressure distribution developed on the paper pattern by the pressure distribution development unit together with the structure of the paper pattern. The wearing tool is a shoe,
The pressure data input by the pressure data input unit is time-series data of pressure detected by a pressure sensor disposed between the shoe and the foot when the foot performs a series of operations,
2. The pressure distribution analysis system according to claim 1, wherein the pressure distribution calculation unit calculates the pressure distribution on the surface of the foot at a time point when the pressure detected by the pressure sensor becomes a maximum in a series of operations performed by the foot. . The wearing tool is a shoe,
The pressure data input by the pressure data input unit is time-series data of pressure detected by a pressure sensor disposed between the shoe and the foot when the foot performs a series of operations,
The pressure distribution analysis system according to claim 1, wherein the pressure distribution calculation unit calculates a temporal change in pressure distribution on the surface of the foot when the foot performs a series of movements. A design department for designing a catching tool;
A design data storage unit for storing pattern data of the catching tool designed by the design unit;
A time series of pressures detected by a pressure sensor disposed between the catching tool and the palm of the hand when a hand wearing the catching tool created based on the pattern data performs a series of operations. A pressure data input section for inputting data;
A polygon data input unit for inputting the hand shape data as three-dimensional polygon data;
A pressure distribution calculation unit for calculating the pressure distribution of the hand based on at least the time series data of the pressure and the polygon data;
A pressure distribution developing unit that develops the pressure distribution calculated by the pressure distribution calculating unit at a corresponding location on the pattern of the catching tool designed by the design unit;
An output unit for displaying the pressure distribution developed by the pressure distribution development unit on the screen together with the structure of the pattern;
A catching tool design system including a design change receiving unit that receives a design change request for the pattern structure on the screen and changes the pattern data stored in the design data storage unit in response to the design change request. . A pressure distribution analysis program for analyzing a distribution of pressure applied to the body from a wearing tool attached to at least a part of the body,
A pressure data input process for inputting time-series data of pressure detected by a pressure sensor disposed between the wearing tool and the body when the body performs a series of actions;
Polygon data input processing for inputting shape data of at least a part of the body as three-dimensional polygon data;
A pressure distribution calculation process for calculating a pressure distribution on the surface of the body based on at least the time-series data of the pressure and the polygon data;
A pressure distribution analysis program for causing a computer to execute output processing for displaying the pressure distribution calculated in the pressure distribution calculation processing. The wearing tool is a ball catching tool,
The pressure data input in the pressure data input process is time-series data of pressure detected by a pressure sensor disposed between the ball catching tool and the palm of the hand when a hand performs a series of operations. Because
The pressure distribution according to claim 8, wherein the pressure distribution calculation process calculates a pressure distribution on the palm surface at a time point when the pressure detected by the pressure sensor becomes a maximum in a series of operations performed by the hand. Analysis program. The wearing tool is a ball catching tool,
The pressure data input in the pressure data input process is time-series data of pressure detected by a pressure sensor disposed between the ball catching tool and the palm of the hand when a hand performs a series of operations. Because
The pressure distribution analysis program according to claim 8, wherein the pressure distribution calculation processing calculates a temporal change in pressure distribution on the surface of the palm of the hand in a series of operations performed by the hand. Causing the computer to further execute a pressure distribution expansion process for expanding the pressure distribution calculated in the pressure distribution calculation process to a corresponding location on the pattern of the catching tool,
The pressure distribution analysis program according to claim 9 or 10, wherein the output process displays the pressure distribution developed on the paper pattern by the pressure distribution development process together with the structure of the paper pattern. The wearing tool is a shoe,
The pressure data input in the pressure data input process is time-series data of pressure detected by a pressure sensor disposed between the shoe and the foot when the foot performs a series of operations,
9. The pressure distribution analysis program according to claim 8, wherein the pressure distribution calculation processing calculates a pressure distribution on the surface of the foot at a time point when the pressure detected by the pressure sensor becomes a maximum in a series of operations performed by the foot. . The wearing tool is a shoe,
The pressure data input in the pressure data input process is time-series data of pressure detected by a pressure sensor disposed between the shoe and the foot when the foot performs a series of operations,
The pressure distribution analysis program according to claim 8, wherein the pressure distribution calculation process calculates a temporal change in pressure distribution on the surface of the foot when the foot performs a series of operations.

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