Evaluation device, evaluation method, and evaluation program

Abstract

An evaluation device (1) is provided with: a memory (12) for storing three-dimensional data (122) of the shape of the foot of a subject measured by a measurement device; and a processor (11) that computes an index value for specifying the shape of the foot on the basis of the three-dimensional data (122) read from the memory (12). The processor (11) computes at least one of an index value relating to a frontal plane of the foot, an index value relating to a sagittal plane of the foot, and an index value relating to a horizontal plane of the foot on the basis of the three-dimensional data. The processor (11) evaluates the flatfoot level of the foot of the subject on the basis of the calculated index value.

Description

Technical Field

[0001] The present disclosure relates to an evaluation device, an evaluation method, and an evaluation program. Background Art

[0002] One of the characteristics of the shape of a person's foot is flat feet. For example, a non-patent document discloses a technique for evaluating whether or not a subject's foot has flat feet by irradiating the subject's foot with X-rays.

[0003] Prior art literature

[0004] Non-patent literature

[0005] Non-patent document 1: Japan Society of Plastic Surgeons, "Research on Symptoms and Diseases", [online], [retrieved on August 4, 2022], Internet <Uniform Resource Locator (URL): https: / / www.joa.or.jp / public / sick / condition / adult_period_flatfoot.html> Summary of the invention

[0006] Problems to be solved by the invention

[0007] In the above-mentioned technique, it is necessary to irradiate the feet of the subject with X-rays, and therefore, there is a problem that the burden of the subject due to X-ray exposure increases.

[0008] The present disclosure has been made to solve the above-mentioned problems, and one object thereof is to evaluate the flat feet level of the subject's feet while suppressing the burden on the subject.

[0009] Technical means of solving problems

[0010] The evaluation device of the present disclosure evaluates the shape of a subject's foot. The evaluation device includes a memory and a processor. The memory stores three-dimensional data of the shape of the subject's foot measured by a measuring device. The processor calculates an index value for determining the shape of the foot based on the three-dimensional data read from the memory. The processor calculates at least one of the index values ​​related to the frontal plane of the foot, the index value related to the sagittal plane of the foot, and the index value related to the horizontal plane of the foot based on the three-dimensional data. In addition, the processor evaluates the flatfoot level of the subject's foot based on at least one index value.

[0011] The evaluation method disclosed herein is a method for evaluating the shape of a subject's foot. The evaluation method includes: calculating at least one of an index value related to a frontal plane of the foot, an index value related to a sagittal plane of the foot, and an index value related to a horizontal plane of the foot based on three-dimensional data of the shape of the subject's foot measured by a measuring device. In addition, the evaluation method evaluates the flatfoot level of the subject's foot based on at least one index value.

[0012] The evaluation program disclosed in the present invention is a program for evaluating the shape of a subject's foot. The evaluation program causes a computer to execute the following steps: based on the three-dimensional data of the shape of the subject's foot measured by a measuring device, at least one of the index values ​​related to the frontal plane of the foot, the index value related to the sagittal plane of the foot, and the index value related to the horizontal plane of the foot is calculated. In addition, the evaluation program causes the computer to evaluate the flat foot level of the subject's foot based on at least one index value.

[0013] Effects of the Invention

[0014] According to the present disclosure, it is possible to evaluate the flatfoot level of the subject's foot while suppressing the burden on the subject. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] [ Figure 1 ] is a diagram for illustrating the structure of the evaluation system of this embodiment.

[0016] [ Figure 2 ] is a diagram for illustrating an example of the hardware structure of an evaluation device.

[0017] [ Figure 3 ] is a diagram for illustrating eight indicator values ​​of this embodiment.

[0018] [ Figure 4 ] is a diagram for explaining index values ​​related to the frontal plane.

[0019] [ Figure 5 ] is a diagram for explaining index values ​​related to the sagittal plane.

[0020] [ Figure 6 ] is a diagram used to illustrate index values ​​related to the horizontal plane.

[0021] [ Figure 7 ] is a diagram used to illustrate the cross-section of the foot.

[0022] [ Figure 8 ] is a diagram for explaining the arch line of the foot.

[0023] [ Fig. 9 ] is a functional block diagram of the evaluation device.

[0024] [ Fig.10] is a diagram for illustrating the correlation between the index value and the X-ray index value of the present embodiment.

[0025] [ Fig.11 ] is a diagram for illustrating an example of the correlation coefficient between each of the eight index values ​​and each of the seven X-ray index values ​​of the present embodiment.

[0026] [ Fig.12 ] is a diagram used to illustrate the threshold values, etc. of this embodiment.

[0027] [ Fig.13 ] is a flowchart showing the main processing of the evaluation device.

[0028] [ Fig.14 ] is a diagram for explaining a table used by the evaluation device.

[0029] [ Fig.15 ] is a diagram used to illustrate the first specified range.

[0030] [ Fig.16 ] is a diagram used to illustrate the second specified range.

[0031] [ Fig.17 ] is a diagram used to illustrate the third specified range.

[0032] [ Fig.18 ] is a diagram for explaining an example of a calculated score, etc.

[0033] [ Fig.19 ]A diagram for illustrating an example of a display screen of display 3.

[0034] [ Fig. 20 ] is a diagram used to illustrate an example of another flatfoot type image.

[0035] [ Fig.21 ] is a diagram showing an example of a third coordinate image.

[0036] [ Fig. 22 ] is an example of the correspondence between an attribute and a range corresponding to the attribute. DETAILED DESCRIPTION

[0037] Hereinafter, the implementation mode will be described based on the accompanying drawings. In the following description, the same symbols are marked on the same structures. Their names and functions are also the same. Therefore, their detailed description will not be repeated.

[0038] <First embodiment>

[0039] [Evaluation system structure]

[0040] Figure 1 1 is a schematic diagram showing the structure of the evaluation system 100 according to the first embodiment. Figure 1 In the example of , the evaluation system 100 includes: an evaluation device 1, a measuring device 2, and a display 3. The measuring device 2 is, for example, a three-dimensional foot scanner based on laser measurement, including a top plate 21 and a laser measuring unit 22 provided in a manner of clamping the top plate.

[0041] The subject places the foot L on the top plate 21. The measuring device 2 measures the shape of the subject's foot when the subject is standing still while the laser measuring unit 22 moves from the toe to the heel of the foot L. The measuring device 2 outputs the three-dimensional data of the shape of the subject's foot acquired by the laser measuring unit 22 to the evaluation device 1.

[0042] The evaluation device 1 evaluates the flatfoot level of the subject's foot based on the eight index values ​​described later. The flatfoot level is, for example, information indicating the degree of flatfoot. In the first embodiment, the flatfoot level is set to be information indicating whether it is flatfoot. Moreover, the evaluation device 1 generates an evaluation result related to the flatfoot level. In the first embodiment, the evaluation result is information indicating a group in which the subject's foot is flatfooted or a group in which the subject's foot is not flatfooted. The so-called "flatfoot" is a feature in which the sole of the foot located on the back of the foot L collapses and the sole of the foot becomes flat. The "group" is a group related to the arch shape of the subject's foot. In addition, the evaluation device 1 can also generate a proposed result based on the eight index values. The "proposed result" is the following information, namely, information indicating at least one of a shoe suitable for the subject's foot L, a shoe last suitable for the subject's foot L, an insole suitable for the subject's foot L, a foot care suitable for the subject's foot L, and a training suitable for the subject (heel lift, etc.).

[0043] The evaluation device 1 outputs the evaluation result and the suggestion result to the display 3. The display 3 displays an image based on the evaluation result and the suggestion result. For example, when the evaluation result is "the shape of the subject's foot L is flat foot", the display 3 displays an image indicating that the shape of the foot L is flat foot. Figure 1 , an example in which the display 3 displays a text image of “You have flat feet” is shown.

[0044] On the other hand, when the evaluation result is a result that “the shape of the subject's foot L is not flat foot”, the display 3 displays an image indicating that the shape of the foot L is not flat foot.

[0045] [Hardware structure of the evaluation device]

[0046] Figure 2 1 is a diagram showing an example of the hardware configuration of the evaluation device 1. Figure 2 As shown, the evaluation device 1 includes a processor 11 , a memory 12 , a storage 13 , an interface 14 , and a medium reading device 15 . The above structures are connected via a processor bus 17 .

[0047] The storage 13 includes, for example, a non-volatile storage device such as a hard disk drive (HDD) or a solid state drive (SSD). The storage 13 stores an evaluation program 131 , an operating system (OS) 132 , and a range group 133 .

[0048] The evaluation program 131 is a program for executing a process of evaluating the flatfoot level of the subject's foot L based on eight index values ​​described later. The range group 133 includes first to eighth ranges described later and an overall threshold value.

[0049] The processor 11 is a computer that reads out the evaluation program 131 and the operating system (OS) 132 stored in the storage 13, expands the read program in the memory 12, and executes it. The processor 11 includes, for example, a central processing unit (CPU), a field programmable gate array (FPGA), a graphics processing unit (GPU), or a microprocessor (MPU). In addition, the processor 11 may also include a computing circuit (processing circuitry).

[0050] The memory 12 includes a volatile memory such as a dynamic random access memory (DRAM) or a static random access memory (SRAM), or a nonvolatile memory such as a read only memory (ROM) or a flash memory, etc. The memory 12 temporarily stores the three-dimensional data sent from the measuring device 2 as described later.

[0051] The interface 14 transmits and receives data to and from other devices by performing wired or wireless communication. For example, the evaluation device 1 receives (acquires) three-dimensional data from the measurement device 2 via the interface 14. In addition, the evaluation device 1 transmits the evaluation result to the display 3 via the interface 14.

[0052] The medium reading device 15 receives a recording medium such as a removable disk 18 and acquires data stored in the removable disk 18 .

[0053] In addition, the evaluation program 131 may be provided as a program product that can be downloaded by an information provider using the Internet. In this case, the processor 11 reads the evaluation program 131 via the Internet.

[0054] In addition, the evaluation program 131 may also be stored in a recording medium and circulated. The recording medium is a non-temporary medium that allows a computer to read the evaluation program 131 stored in the recording medium. The recording medium is, for example, a digital versatile disc-read only memory (DVD-ROM), a compact disc read-only memory (CD-ROM), etc.

[0055] [Eight indicator values]

[0056] Figure 3 is a diagram showing eight index values ​​of this embodiment. The evaluation device 1 evaluates the flat foot level based on the eight index values. In addition, the eight index values ​​are values ​​for determining the shape of the foot. Figure 3 In the example, regarding eight index values, specific examples of the index value name, the plane category of the foot L, the part category of the foot L, the relationship with flat feet, the corresponding range, and the value of the center of the corresponding range are shown.

[0057] As shown in the row of indicator value names, the eight indicator values ​​include heel angle (HA), leg heel angle (LHA), arch height ratio (AHR), medial arch angle (MAA), instep angle (IA), medial protrusion area (MPA), heel center angle (HCA), and curve angle (CA).

[0058] Hereinafter, the heel inclination angle is also referred to as “HA”. The heel-calf inclination angle is also referred to as “LHA”. The arch height ratio is also referred to as “AHR”. The medial arch angle is also referred to as “MAA”.

[0059] In addition, the instep angle is also called "IA". The medial protrusion area is also called "MPA". The rear foot center angle is also called "HCA". The flexion angle is also called "CA".

[0060] In addition, as shown in the row of "Plane Type", HA and LHA are "index values ​​related to the frontal plane of the foot". AHR, MAA, and IA are "index values ​​related to the sagittal plane of the foot". MPA, HCA, and CA are "index values ​​related to the horizontal plane of the foot".

[0061] In addition, as shown in the row of "Part Category", HA, LHA, and HCA are index values ​​related to the hindfoot of the foot. AHR, MAA, IA, and MPA are index values ​​related to the midfoot of the foot. CA is an index value related to the forefoot and hindfoot of the foot.

[0062] The physical quantities of HA, LHA, MAA, IA, HCA, and CA are angles, while the physical quantity of MPA is "square millimeter." AHR is expressed as a ratio (%).

[0063] In addition, as shown in the row of "Relationship with flat feet", HA, LHA, and MPA are index values ​​that are more likely to have flat feet as they increase. In addition, AHR, MAA, IA, HCA, and CA are index values ​​that are more likely to have flat feet as they decrease.

[0064] In addition, as shown in the row of the corresponding range, HA, LHA, AHR, MAA, IA, MPA, HCA, and CA are compared with the first range, the second range, the third range, the fourth range, the fifth range, the sixth range, the seventh range, and the eighth range, respectively. The comparison will be described later.

[0065] The center value of the first range is 2 degrees, the center value of the second range is 9 degrees. The center value of the third range is 14%, the center value of the fourth range is 30 degrees. The center value of the fifth range is 23 degrees, the center value of the sixth range is 200 square millimeters. The center value of the seventh range is 10 degrees, and the center value of the eighth range is 16 degrees.

[0066] In addition, the upper limit of each range is defined by adding a predetermined value to the center value of the range, and the lower limit of the range is defined by subtracting the predetermined value from the center value of the range. For example, for the first range, if the predetermined value is set to 1 degree, it becomes greater than 1 degree and less than 3 degrees.

[0067] In addition, the center value of the first range may also be set to any value between 0 degrees and 5 degrees. In addition, the center value of the second range may also be set to any value between 5 degrees and 10 degrees. In addition, the center value of the third range may also be set to any value between 10% and 15%. In addition, the center value of the fourth range may also be set to any value between 25 degrees and 30 degrees. The center value of the fifth range may also be set to any value between 20 degrees and 25 degrees. The center value of the sixth range may also be set to any value between 195 square millimeters and 205 square millimeters. The center value of the seventh range may also be set to any value between 5 degrees and 10 degrees. The center value of the eighth range may also be set to any value between 15 degrees and 20 degrees. In addition, the specified values ​​of each range are set by the measurer, etc. In addition, "A~B" means, for example, above A and below B.

[0068] Next, the details of each index value will be described. Figure 4 This is a diagram for explaining the index values ​​related to the frontal plane, namely HA and LHA. Figure 4 In FIG. 1 , the heel portion of the subject's right foot is represented as foot L. In addition, in Figure 4 , the inner and outer sides of the right foot (foot L) are shown.

[0069] Figure 4 (A) is a diagram for explaining HA. Figure 4 (A) shows the heel midline M1 and the vertical axis M2 of the foot. The heel midline M1 is described later. Figure 4 The vertical axis M2 is an axis perpendicular to the ground contact surface P of the foot L. HA is an angle formed by the heel midline M1 and the vertical axis M2.

[0070] Figure 4 (B) is a diagram for explaining LHA. Figure 4 (B) shows the heel midline M1 and the calf axis M3. The calf axis M3 is described later. Figure 4 (D) is described. LHA is the angle between the heel midline M1 and the calf axis M3. Figure 3 As described in , the larger the HA and LHA are, the more likely a person is to have flat feet.

[0071] In addition, in the present embodiment, the expression "A% of the foot length (A is a real number)" means "a position that is A% of the length of the foot length away from the heel of the foot L". In addition, A% includes the case of approximately A%. The so-called "foot length" is, for example, the length between the point where the tip of the longest toe falls on the center line of the foot and the heel point. Moreover, A% may be, for example, a value different from the value disclosed in the present embodiment within the range in which the evaluation device 1 can appropriately perform the evaluation of flat feet.

[0072] Figure 4(C) is a diagram for explaining the heel midline M1. Figure 4 (C) shows a curve M11. The curve M11 is the outer contour line of a predetermined cross section of the foot at any position of 0% to 10% of the foot length in the frontal plane. Figure 4 (C) shows a straight line M12 and a straight line M13. The straight line M12 is a straight line located at a position of 20% to 30% of the foot length from the contact surface P of the foot L in the predetermined cross section and parallel to the contact surface P. The straight line M13 is a straight line located at a position of 1% to 10% of the foot length from the contact surface P of the foot L in the predetermined cross section and parallel to the contact surface P.

[0073] The midpoint of the two points where the straight line M12 and the curve M11 intersect is set as the midpoint M12a. In addition, the point where the perpendicular line passing through the heel point M14 of the straight line M13 intersects with the straight line M13 is set as the intersection point M13a. The heel center line M1 is a straight line connecting the midpoint M12a and the intersection point M13a.

[0074] Figure 4 (D) is a diagram for explaining the calf axis M3. Figure 4 (D) shows a curve M21. The curve M21 is the outer contour line of the ankle. Figure 4 (D) shows a straight line M22 and a straight line M23. The straight line M22 is a straight line that is located at a distance of 50% to 60% of the foot length from the contact surface P of the foot L and is parallel to the contact surface P. The straight line M23 is a straight line that is located at a distance of 30% to 40% of the foot length from the contact surface P of the foot L and is parallel to the contact surface P.

[0075] The midpoint of the two points where the straight line M22 intersects the curve M21 is set as the midpoint M22a. The midpoint of the two points where the straight line M23 intersects the curve M21 is set as the midpoint M23a. The lower leg axis M3 is a straight line connecting the midpoint M12a and the intersection point M13a.

[0076] Figure 5 This is a diagram for explaining the index values ​​related to the sagittal plane, namely AHR, MAA, and IA. Figure 5 , the inner side of the subject's right foot is represented as foot L.

[0077] Figure 5 (A) is a diagram for explaining AHR. Figure 5 (A) shows V31 and V32. V31 is the distance between the navicular tuberosity Q and the ground contact surface P of the foot L. V32 is the value of the foot length. AHR is the value obtained by dividing V31 by V32 (ratio of V31 to V32).

[0078] Figure 5(B) is a diagram for explaining MAA. In MAA, an arch line M4 is used. The arch line M4 is a line that irradiates the inner side of the foot L from the ground contact surface P with an inclined light having an angle of, for example, 45 to 65 degrees ( Figure 8 That is, the arch line M4 is the "apparent arch line" of the foot L.

[0079] Furthermore, in Figure 5 (B) shows a straight line M41 and a straight line M42. The straight line M41 is a straight line formed by the front part of the arch line M4 of the foot L. The front part of the arch line M4 is a portion from a position B at 50% to 59% of the foot length to a position A at 60% to 70% of the foot length. The "straight line formed by the front part of the arch line M4 (straight line M41)" is a straight line approximated by a curve located at the front part of the arch line M4.

[0080] In addition, the straight line M42 is a straight line formed by the rear part of the arch line M4 of the foot L. The rear part of the arch line M4 is a portion from a position D at 20% to 29% of the foot length to a position C at 30% to 40% of the foot length. The "straight line formed by the rear part of the arch line M4 (straight line M42)" is a straight line approximated by a curve located at the rear part of the arch line M4.

[0081] Furthermore, in Figure 5 (B) shows the front angle V41 and the rear angle V42. The front angle V41 is the angle formed by the straight line M41 and the horizontal line P1. The horizontal line P1 is a straight line parallel to the ground contact surface P. The rear angle V42 is the angle formed by the straight line M42 and the horizontal line P1. MAA is calculated by summing the front angle V41 and the rear angle V42. In other words, MAA is the sum of the front angle V41 and the rear angle V42.

[0082] Figure 5 (C) is a diagram for explaining IA. Figure 5 (C) shows a straight line M5, a horizontal line P1, a point M51, and a point M52. The straight line M5 is a straight line formed by the instep La of the foot L. Specifically, the straight line M5 is a straight line connecting the point M51 and the point M52. The point M51 is a foot height measurement point. The foot height measurement point is a point existing at the instep La at any position A between 50% and 60% of the foot length. The point M52 is the highest point of the first metatarsal head. The highest point of the first metatarsal head is a point existing at the instep La at any position B between 70% and 80% of the foot length. IA is an angle formed by the straight line M5 and the horizontal line P1.

[0083] Figure 5AHH and MAA among the index values ​​related to the sagittal plane described in are examples of arch index values ​​related to the arch of the foot L. In addition, IA is an example of a non-arch index value different from the arch index value.

[0084] Figure 6 This is a diagram for explaining the index values ​​related to the water level, namely MPA, HCA, and CA. Figure 6 , the sole of the subject's right foot is represented as foot L. Figure 6 (A) is a diagram for explaining MPA. Figure 6 In (A), a straight line M6 is shown.

[0085] Straight line M6 is a straight line connecting point M61 and point M62. Point M61 is an outer contour point indicating the width of the heel of the foot when viewed from above on a horizontal plane of the foot. In other words, point M61 is a heel width measurement point. Specifically, the heel width measurement point is a point of the outer contour of the foot L located at any position between 10% and 20% of the foot length. In addition, point M62 is an outer contour point of the middle of the foot. In other words, the outer contour point of the middle of the foot is a point of the outer contour of the foot L located at any position between 50% and 60% of the foot length.

[0086] MPA is the area of ​​the portion located on the inner side of the foot L relative to the straight line M6 when viewed from above on the horizontal plane of the foot. Figure 6 In (A), the above-mentioned parts are hatched.

[0087] Figure 6 (B) is a diagram for explaining HCA. Figure 6 (B) shows straight line M7 and straight line M8. Straight line M7 is the center line of the entire foot L when viewed from above on the horizontal plane of the foot L. Straight line M8 is the center line of the rear foot of the foot L. The rear foot of the foot L is as follows: Figure 6 (C) is the portion from the heel of the foot to any position A at 40% to 50% of the foot length. In addition, the so-called forefoot portion of the foot L described later is the portion from the heel of the foot to any position B at 60% to 70% of the foot length. HCA is the angle formed by the straight line M7 and the straight line M8. HCA corresponds to the "rear foot angle" of the present disclosure.

[0088] Figure 6 (C) is a diagram for explaining CA. Figure 6 In (C), in addition to straight lines M7 and M8, straight line M9 is also shown. Straight line M9 is the center line of the front foot of foot L. In addition, the angle formed by straight line M7 and straight line M9 is set to angle V8. Moreover, CA is HCA (refer to Figure 6 (B)) and angle V8. In other words, CA is the total angle of HCA and angle V8.

[0089] [Apparent arch line]

[0090] Next, explain Figure 5 (B) Arch line M4 (apparent arch line) In the present embodiment, a cross-sectional view of the foot L is used to explain the arch line M4. Figure 7 is a diagram for explaining the cross-sectional view. Figure 7 As shown, in this embodiment, a cross section of the leg L at line AA' (a cross section of the frontal plane) is used.

[0091] Figure 8 1 is a diagram for explaining the arch line M4. Figure 8 As shown in (A), on the AA' section of the foot, the point of contact between a line inclined from the ground toward the inner side of the foot (inner a-degree line) and the inner outer shape of the foot is set to R1. In this embodiment, a is any angle between 45 degrees and 60 degrees. Figure 8 As shown in (B), the contact points R1 are obtained at predetermined intervals (for example, every 1 mm) in the leg length direction, and the line connecting the obtained plurality of contact points R1 is set as Figure 5 (B) Arch line M4.

[0092] [Functional block diagram of evaluation device]

[0093] Fig. 9 1 is a functional block diagram of the evaluation device 1. The evaluation device 1 includes an acquisition unit 112, a conversion unit 114, a generation unit 116, and a storage unit 118. The acquisition unit 112, the conversion unit 114, and the generation unit 116 correspond to the processor 11. The storage unit 118 is a combination of the storage area of ​​the memory 12 and the storage area of ​​the storage 13. The storage unit 118 stores the range group 133 (see Figure 2 )'s first range to the eighth range and the overall threshold.

[0094] When the measuring device 2 (also refer to Figure 1 ) sends the three-dimensional data to the evaluation device 1, the three-dimensional data is temporarily stored in the storage unit 118. Then, the acquisition unit 112 acquires the three-dimensional data by reading out the three-dimensional data stored in the storage unit 118. Furthermore, the acquisition unit 112 calculates eight index values ​​based on the three-dimensional data. The eight index values ​​are Figure 3 These eight index values ​​are output to the conversion unit 114.

[0095] In addition, in order to obtain AHR, it is preferable to determine the scaphoid tuberosity Q ( Figure 5(A)). To determine the position of the scaphoid tuberosity Q, for example, the examiner may also mark the position of the scaphoid tuberosity Q by palpating and visually examining the foot L of the subject. The acquisition unit 112 calculates V31 based on the mark and outputs AHR. In addition, for example, through the so-called artificial intelligence (AI), the acquisition unit 112 may also infer the position of the scaphoid tuberosity Q. For example, the estimation of the position of the scaphoid tuberosity Q is disclosed in "WO2020 / 261434A1". In addition, for the other seven index values ​​​​other than AHR, the examiner does not palpate and visually examine the foot L of the subject, but obtains them based on three-dimensional data by the acquisition unit 112.

[0096] The conversion unit 114 generates and outputs the nth score based on the comparison between the nth (n is any integer from 1 to 8) index value and the nth range. The nth score includes a first score C1, a second score C2, a third score C3, a fourth score C4, a fifth score C5, a sixth score C6, a seventh score C7, and an eighth score C8. These eight scores are values ​​indicating the degree of flat feet. In the present embodiment, the score is any one of a positive value, zero, and a negative value. The larger the positive score, the greater the tendency toward flat feet. In addition, the larger the absolute value of the negative score, the greater the tendency toward flat feet or concave feet. "Concave feet" is a feature opposite to flat feet, and is a feature in which the sole of the foot located on the back of the foot L is extremely high. Below, a specific example of the conversion method using the conversion unit 114 is described.

[0097] In addition, the case where the nth (n is an integer from 1 to 8) index value is greater than the nth range means that the nth index value is greater than the upper limit of the nth range. In addition, the case where the nth (n is an integer from 1 to 8) index value is less than the nth range means that the nth index value is less than the lower limit of the nth range. In addition, the so-called "difference between the nth index value and the nth range" means, for example, the difference between the nth index value and the center value of the nth range.

[0098] like Figure 3 As shown in FIG. 1 , the larger the HA is, the more likely it is to have flat feet. The conversion unit 114 compares the HA with the first range. Furthermore, when the HA is greater than the first range, the conversion unit 114 outputs a positive first score C1 corresponding to the difference between the HA and the first range. Here, the so-called "positive nth score C corresponding to the difference" means that the larger the difference is, the larger the positive nth score is.

[0099] In addition, when HA is less than the first range, the conversion unit 114 outputs a negative first score C1 corresponding to the difference between HA and the first range. Here, the so-called "negative nth (n is an integer from 1 to 8) score C corresponding to the difference" means that the larger the difference, the smaller the negative nth score. In addition, when HA belongs to the first range, the conversion unit 114 outputs zero as the first score C1.

[0100] In addition, the larger the LHA is, the more likely it is to have flat feet. The conversion unit 114 compares the LHA with the second range. And, when the LHA is greater than the second range, the conversion unit 114 outputs a positive second score C2 corresponding to the difference between the LHA and the second range. In addition, when the LHA is less than the second range, the conversion unit 114 outputs a negative second score C2 corresponding to the difference between the LHA and the second range. In addition, when the LHA is within the second range, the conversion unit 114 outputs zero as the second score C2.

[0101] The smaller the AHR is, the more likely it is that the person has flat feet. The conversion unit 114 compares the AHR with the third range. When the AHR is less than the third range, the conversion unit 114 outputs a third positive score C3 corresponding to the difference between the AHR and the third range. When the AHR is greater than the third range, the conversion unit 114 outputs a third negative score C3 corresponding to the difference between the AHR and the third range. When the AHR is within the third range, the conversion unit 114 outputs zero as the third score C3.

[0102] The smaller the MAA is, the more likely it is that the person has flat feet. The conversion unit 114 compares the MAA with the fourth range. When the MAA is less than the fourth range, the conversion unit 114 outputs a fourth score C4 that is positive and corresponds to the difference between the MAA and the fourth range. When the MAA is greater than the fourth range, the conversion unit 114 outputs a fourth score C4 that is negative and corresponds to the difference between the MAA and the fourth range. When the MAA is within the fourth range, the conversion unit 114 outputs zero as the fourth score C4.

[0103] In addition, the smaller IA is, the more flat-foot tendency there is. The conversion unit 114 compares IA with the fifth range. And, when IA is less than the fifth range, the conversion unit 114 outputs a positive fifth score C5 corresponding to the difference between IA and the fifth range. In addition, when IA is greater than the fifth range, the conversion unit 114 outputs a negative fifth score C5 corresponding to the difference between IA and the fifth range. In addition, when IA belongs to the fifth range, the conversion unit 114 outputs zero as the fifth score C5.

[0104] In addition, the larger the MPA is, the more likely it is to have flat feet. The conversion unit 114 compares the MPA with the sixth range. And, when the MPA is greater than the sixth range, the conversion unit 114 outputs a positive sixth score C6 corresponding to the difference between the MPA and the sixth range. In addition, when the MPA is less than the sixth range, the conversion unit 114 outputs a negative sixth score C6 corresponding to the difference between the MPA and the sixth range. In addition, when the MPA is within the sixth range, the conversion unit 114 outputs zero as the sixth score C6.

[0105] In addition, the smaller the HCA is, the more the index value of the flat foot tendency is. The conversion unit 114 compares the HCA with the seventh range. And, when the HCA is less than the seventh range, the conversion unit 114 outputs the seventh score C7 corresponding to the difference between the HCA and the seventh range. In addition, when the HCA is greater than the seventh range, the conversion unit 114 outputs the seventh score C7 corresponding to the difference between the HCA and the seventh range. In addition, when the HCA belongs to the seventh range, the conversion unit 114 outputs zero as the seventh score C7.

[0106] In addition, the smaller the CA is, the more the index value of the flat foot tendency is. The conversion unit 114 compares CA with the eighth range. And, when CA is less than the eighth range, the conversion unit 114 outputs the eighth score C8 corresponding to the difference between CA and the eighth range. In addition, when CA is greater than the eighth range, the conversion unit 114 outputs the eighth score C8 corresponding to the difference between CA and the eighth range. In addition, when CA belongs to the eighth range, the conversion unit 114 outputs zero as the eighth score C8.

[0107] The first score C1 to the eighth score C8 output from the conversion unit 114 are input to the generation unit 116. The generation unit 116 calculates a total score as the total value of the first score C1 to the eighth score C8. The total score corresponds to the flat foot level disclosed in the present invention. Moreover, the generation unit 116 compares the total score with the overall threshold. The value of the center of the overall threshold is, for example, zero. When the total score is greater than the overall threshold, the generation unit 116 evaluates that the shape of the subject's foot L is flat foot, and generates evaluation information representing the evaluation. In addition, when the total score is below the overall threshold, the generation unit 116 evaluates that the shape of the subject's foot L is not flat foot, and generates evaluation information representing the evaluation.

[0108] After generating the evaluation result, the generating unit 116 outputs data indicating the evaluation result to the display 3. The display 3 displays an image based on the data.

[0109] [Reasons for selecting eight indicator values]

[0110] Next, the reason why the inventor selected the eight index values ​​in order to determine whether the subject's foot L is flat foot is explained. In order to determine whether the subject's foot L is flat foot, there is a method of irradiating the foot L with X-rays (hereinafter also referred to as "X-ray irradiation method"). The X-ray irradiation method is considered to be a highly accurate method for evaluating the presence or absence of flat feet. In the X-ray irradiation method, seven X-ray index values ​​are specified. For example, the seven X-ray index values ​​are disclosed in the following first document and second document.

[0111] The first document is "Lee JS, Kim KB, Jeong JO, Kwon NY, Jeong SM, M.: Correlation of Foot Posture Index With Plantar Pressure and Radiographic Measurements in Pediatric Flatfoot, Annals of Rehabilitation Medicine 39(1), 10-17. (2015), Digital Object Identifier (DOI): 10.5535 / arm.2015.39.1.10".

[0112] The second document is "Murley GSS, Menz, HB Landorf1, KB: A protocol for classifying normal and flat arched footposture for research studies using clinical and radiographic measurements, Journal of Foot and Ankle Research, 2009, 2 22, 2009 DOI: 10.1186 / 1757 1146 2 22".

[0113] The seven X-ray index values ​​include an X-ray index value of a frontal plane, an X-ray index value of a sagittal plane, and an X-ray index value of a horizontal plane. The X-ray index value of the frontal plane is the tibia-calcaneal inclination angle (HTA: Heel tibia angle). In addition, the X-ray index of the sagittal plane is the calcaneal inclination angle (CP: Calcaneal pitch), the first metatarsal angle of the calcaneus (C1MA: Calcaneal first metatarsal angle), the first metatarsal angle of the talus (MA: Meary's angle), and the navicular index (NI: Navicular index). In addition, the X-ray index of the horizontal plane is the talar scaphoid angle (TNCA: Talonavicular coverage angle) and the second metatarsal angle of the talus (T2MA: Talo second metatarsal angle).

[0114] Here, the seven X-ray index values ​​are set as index values ​​with good accuracy for evaluating whether the subject's foot L has flat feet. However, the seven X-ray index values ​​are all angles related to the bones of the foot, and are index values ​​based on the premise of irradiating the subject's foot with X-rays. Therefore, in order to use the seven X-ray index values, it is necessary to irradiate the subject's foot with X-rays, which may cause a problem of increased burden on the subject caused by X-ray irradiation.

[0115] Therefore, the inventors studied the index values ​​that are highly correlated with the seven X-ray index values ​​among the index values ​​that can be calculated based on the three-dimensional data. As a result of the study, the inventors found the eight index values.

[0116] Fig.10 This is a diagram showing the correlation between the index value and the X-ray index value according to the present embodiment. Fig.10 (A) is a graph showing the correlation between C1MA as an X-ray index and IA as an index of this embodiment. Fig.10 In the example of (A), a plurality of plots and a regression line F1 related to the plurality of plots are shown. Fig.10 In the example of (A), a negative correlation is shown, and the square value of the correlation coefficient R (coefficient of determination) is 0.5478. Fig.10 The method for calculating the correlation coefficient in the example of is based on multiple feet. Then, by using the formula of dividing the "covariance of the index value of this embodiment and the X-ray index value" by the "multiplication value of the standard deviation of the index value of this embodiment and the standard deviation of the X-ray index value" and squaring the value of the division, the Fig.10 The correlation coefficient (coefficient of determination) of .

[0117] Fig.10 (B) is a graph showing the correlation between C1MA as an X-ray index and MAA as an index of this embodiment. Fig.10 In the example of (B), a plurality of plots and a regression line F2 related to the plurality of plots are shown. Fig.10 In the example of (B), a negative correlation is shown, and the square value of the correlation coefficient R is 0.4702.

[0118] Fig.11 is a diagram showing an example of the correlation coefficient between each of the eight index values ​​and each of the seven X-ray index values ​​of this embodiment. Fig.11 The correlation coefficient R between HA, which is the index value of the present embodiment, and HTA, which is the X-ray index value, is 0.282.

[0119] like Fig.11 As shown in FIG. 1 , the inventors selected index values ​​having a high correlation coefficient with the X-ray index value to a certain extent as the eight index values ​​of this embodiment. Fig.11 As shown in the box W1, it means that the correlation coefficients of MAA and IA are higher than other index values. Fig.11 As shown in the box W2, it means that the correlation coefficient between HCA and CA is relatively high at the angle of the horizontal plane.

[0120] [About the center value of the range]

[0121] Hereinafter, the center values ​​of the first range to the eighth range are also referred to as the first threshold value to the eighth threshold value, respectively. Hereinafter, a method for determining the first threshold value to the eighth threshold value will be described. Fig.12 This is a diagram showing an example of a receiver operating characteristic (ROC) curve of MAA and IA with a high correlation coefficient. The ROC curve of IA is represented by a solid line, and the ROC curve of MAA is represented by a dotted line. In addition, the ROC curve is produced for multiple feet.

[0122] Fig.12 The vertical axis of the ROC curve is sensitivity (True Positive Fraction (TPF)), and the horizontal axis is 1-specificity (False Positive Fraction (FPF)). Fig.12 , a straight line H showing the same value of TPF and FPF is shown. In addition, among the plots constituting the ROC curve, the plot having the largest distance from the straight line H (hereinafter also referred to as the "maximum plot") is a plot corresponding to a high-precision threshold (cutoff value).

[0123] exist Fig.12In the example, the maximum plot of IA indicates a sensitivity of 74.1%, a specificity of 82%, and a cutoff value of 23 degrees. The 23 degrees is used as the threshold of IA ( Figure 3 In addition, the maximum plot of MAA indicates that the sensitivity is 87.9%, the specificity is 76.7%, and the cutoff value is 30 degrees. The 30 degrees is used as the threshold of MAA ( Figure 3 The fourth threshold value of

[0124] In addition, the inventors also created ROC curves for other index values ​​(HA, LHA, AHR, MPA, HCA, CA) and determined thresholds corresponding to the other index values.

[0125] [flow chart]

[0126] Fig.13 1 is a flowchart showing the main processing of the evaluation device 1. First, in step S2, the evaluation device 1 obtains three-dimensional data from the measuring device 2 and temporarily stores it in the memory 12 ( Fig. 9 in the storage unit 118).

[0127] Next, in step S4, the evaluation device 1 reads the three-dimensional data from the memory 12. Then, in step S6, the evaluation device 1 calculates (acquires) eight index values ​​based on the read three-dimensional data. Next, in step S8, the evaluation device 1 generates an evaluation result based on the eight index values ​​and outputs it to the display 3. The display 3 displays an image based on the table result.

[0128] [Proposal Result]

[0129] Next, Figure 1 The proposed result shown is explained. In the case of a structure in which the evaluation device 1 outputs the proposed result, the evaluation device 1 calculates specific index values ​​other than the eight index values ​​based on the three-dimensional data. For example, the specific index values ​​are foot length and toe shape, etc. The evaluation device 1 detects at least one of the shoes of the fitting object, the shoe last of the fitting object, the insole of the fitting object, the foot care of the fitting object, and the training of the fitting object based on the eight index values ​​and the specific index values. Then, the evaluation device 1 outputs the detected content as a proposed result to the display 3. The display 3 displays a proposed image based on the proposed result.

[0130] The tester visually recognizes the proposed image and proposes a product based on the proposed image to the subject. For example, the proposed image is an image showing a pair of shoes that fit the subject. The tester proposes to the subject to buy the pair of shoes.

[0131] [Summarize]

[0132] In a method for evaluating the presence or absence of flat feet by irradiating the subject's feet with X-rays (the X-ray irradiation method), it is necessary to irradiate the subject's feet with X-rays. Therefore, there may be a problem of increased burden on the subject due to X-ray irradiation. Therefore, the evaluation device 1 of the present embodiment calculates 8 index values ​​based on the three-dimensional data measured by the measuring device, and evaluates the flatfoot level of the subject's feet (for example, the total score) based on the index values. Therefore, the evaluation device 1 does not need to irradiate the subject with X-rays, so the burden on the subject can be suppressed, and the flatfoot level of the subject's feet can be evaluated.

[0133] In addition, in the X-ray irradiation method, the examiner visually recognizes the X-ray photograph produced by the X-ray irradiation to check whether the subject's feet have flat feet. However, there may be a problem that the examiner is limited to a part of experts such as doctors. On the other hand, the evaluation device 1 of this embodiment allows the measurer to determine whether there is flat feet by visually recognizing the evaluation result. Therefore, it is not limited to a part of experts, and a general measurer can determine whether there is flat feet.

[0134] In addition, in the X-ray irradiation method, the accuracy of the inspection of the presence or absence of flat feet depends on the quality of the X-ray photograph. On the other hand, the evaluation device 1 of the present embodiment evaluates flat feet without using X-ray photographs, so that the measurer can perform an evaluation with high reproducibility. In addition, in the X-ray irradiation method, it may depend on the inspection skills of the inspector. On the other hand, in the evaluation device 1 of the present embodiment, since a general measurer can determine the evaluation result, the measurer can perform an evaluation with high reproducibility.

[0135] In addition, if Figure 5 As described in, for example, the index value related to the sagittal plane includes the arch index value related to the arch of the foot (in Figure 5 AHR and MAA in the above), and non-arch index values ​​different from the arch index values ​​(in Figure 5 IA in the middle).

[0136] Generally speaking, the presence or absence of flat feet is caused by the arch structure of the foot. Therefore, a structure in which the presence or absence of flat feet is evaluated using only the arch index value instead of the non-arch index value can be considered. However, for example, if only the arch index value is evaluated, it is judged that the feet are flat, but in fact there are specific subjects who do not have flat feet. Such specific subjects are, for example, people whose foot bones, foot bones, and sole muscles are more developed than ordinary feet. In the structure in which the presence or absence of flat feet is evaluated using only the arch index value, for such specific subjects, although they do not actually have flat feet, the evaluation result is considered to be flat feet, so there is a concern that the evaluation accuracy will be reduced.

[0137] Therefore, the evaluation device 1 of this embodiment uses not only the arch index value but also the non-arch index value to evaluate the flat feet of the subject's foot L. Therefore, the evaluation device 1 can perform multi-faceted evaluation. Therefore, even if the subject is a specific subject as described above, the evaluation device 1 can perform flat foot evaluation with good accuracy.

[0138] In addition, non-arch index values ​​include IA. Fig.11 As shown in the frame W1 of FIG. 1 , IA is an index value with a large correlation coefficient with a high-precision X-ray index value. Therefore, the evaluation device 1 can perform a high-precision evaluation by evaluating flat feet using non-arch index values ​​including IA.

[0139] In addition, the arch index value includes MAA. Fig.11 As shown in the frame W1 of FIG. 1 , MAA is an index value with a large correlation coefficient with a highly accurate X-ray index value. Therefore, the evaluation device 1 can perform a highly accurate evaluation by evaluating flat feet using the arch index value including MAA.

[0140] In addition, the arch index includes AHR. AHR is an arch height ratio and is an index directly caused by the presence or absence of flat feet. Therefore, the evaluation device 1 can perform a high-precision evaluation by using the arch index including AHR to evaluate flat feet.

[0141] In addition, indicators related to the water level include HCA. Fig.11 As shown in the frame W2 of FIG. 1 , HCA is an index value with a relatively large correlation coefficient with a highly accurate X-ray index value. Therefore, the evaluation device 1 can perform a highly accurate evaluation by evaluating flat feet using index values ​​including HCA.

[0142] In addition, the index values ​​related to the horizontal plane include CA. Fig.11 As shown in the frame W2, CA is an index value with a relatively large correlation coefficient with a high-precision X-ray index value. Therefore, the evaluation device 1 can perform a high-precision evaluation by evaluating flat feet using the index value including CA.

[0143] In addition, indicators related to water level include MPA. Figure 6 As described in (A), the physical quantity of the MPA is the area. Therefore, the evaluation device 1 evaluates flat feet based on the area which is a physical quantity different from the angle, and thus can perform various evaluations.

[0144] In addition, the index value related to the frontal plane includes HA. Therefore, the evaluation device 1 can perform the evaluation of flat feet based on the index value related to the frontal plane. In addition, the index value related to the frontal plane includes LHA. Therefore, the evaluation device 1 can perform the evaluation of flat feet based on the index value related to the frontal plane.

[0145] In addition, the evaluation device 1 proposes at least one of the subject's shoes, the subject's shoe last, and the subject's shoe insole based on the eight index values. Therefore, the evaluation device 1 can propose shoes, shoe lasts, and insoles that reflect the evaluation of the flat feet of the subject's feet. In this way, the evaluation device 1 of the present disclosure can apply the eight index values ​​(or flat foot grades) not only to the evaluation of flat feet, but also to the industrial technology proposed to the subject.

[0146] <Second embodiment>

[0147] In the first embodiment, the flat foot level is described as information indicating whether the foot is flat. The flat foot level of the second embodiment is information that quantitatively indicates the characteristics of the foot.

[0148] Fig.14 is an example of a table showing the correspondence between flatfoot grades and groups. Fig.14 In the example, the flat feet level is quantitatively expressed in five levels (-2, -1, 0, 1, 2). Fig.14 The group includes not only the flat foot group, but also the concave foot (high arch) group and the standard foot group. The "standard foot" is a foot that does not conform to either flat foot or concave foot. In addition, the table is stored in the storage unit 118 (refer to Fig. 9 )middle.

[0149] exist Fig.14 In the example, a flat foot level of 1 or 2 is associated with a flat foot group. In addition, a flat foot level of 0 is associated with a standard foot group. In addition, a flat foot level of -1 or -2 is associated with a concave foot group.

[0150] The generating unit 116 converts the total score into a five-level flat foot grade. Fig.14 The evaluation device 1 determines the group corresponding to the flat foot level by looking at the table. Then, the evaluation result corresponding to the group is generated and displayed on the display 3. For example, when the flat foot level is -1 or -2, the evaluation device 1 causes the display 3 to display a text image of "You have concave feet". In addition, when the flat foot level is 0, the evaluation device 1 causes the display 3 to display a text image of "Your feet are standard feet".

[0151] According to such a configuration, the evaluation device 1 can evaluate whether the subject's foot is flat foot, standard foot, or concave foot. Therefore, the evaluation device 1 can evaluate the subject's foot in more detail.

[0152] In addition, as a modified example, the flat foot group may be further divided. For example, for a flat foot level of "1", it may be set as a "weak flat foot group", and for a flat foot level of "2", it may be set as a "strong flat foot group". In addition, the concave foot group may be further divided. For example, for a flat foot level of "-1", it may be set as a "weak concave foot group", and for a flat foot level of "2", it may be set as a "strong concave foot group".

[0153] In addition, as a modified example, the three groups into which the foot shapes are classified may be set to any one group, or may be set to any two groups. In addition, in the above-described embodiment, the flat foot level is a concept including at least one of a level indicating flat feet, a level indicating concave feet, and a level indicating standard feet.

[0154] <Third embodiment>

[0155] In the third embodiment, the calculation of the n-th score will be described in detail. Figure 3 In the example of applying the first to eighth ranges to eight index values, respectively, is described. In the present embodiment, other preferred examples (first predetermined range, second predetermined range, and third predetermined range) of the first to eighth ranges are described.

[0156] Fig.15 It is a diagram for explaining the first prescribed range. The center value (reference value) of the first prescribed range is set to the ideal value N of the first value described later. Here, the ideal value N is an ideal (non-biased) value from the perspective of the bone shape of the foot. For example, the ideal value N of the index value (HA, LHA) of the frontal plane is a value when the valgus and valgus of the calcaneus are in an ideal state, that is, it is not in either the valgus or eversion state. In addition, the ideal value N of the index value (AHR, MAA, IA) of the sagittal plane is a value when the height of the arch of the foot is in an ideal state, that is, it is not in either the high arch or the low arch. In addition, the ideal value N of the index value (MPA, HCA, CA) of the horizontal plane is a value when the curvature of the foot is in an ideal state, that is, it is not in either the excessive curvature type or the straight type.

[0157] In addition, the lower limit value of the first predetermined range is a value (Nd) obtained by subtracting d from N. The upper limit value of the first predetermined range is a value (N+d) obtained by adding d to N. In addition, "d" is a value calculated by subtracting the cutoff value C of the first value V1 from the ideal value of the first value V1. The first value V1 will be described later.

[0158] In this embodiment, the preferred index value to which the first predetermined range is applied is at least one of HA, AHR, and MPA. At least one of HA, AHR, and MPA corresponds to the "first value" of the present disclosure. The first value is also referred to as "first value V1".

[0159] The reason why HA, AHR, and MPA are preferably applied in the first predetermined range is that HA, AHR, and MPA are all easy to derive ideal values ​​N. Specifically, the reason why HA is preferably applied in the first predetermined range is that the measured value of HA spans the positive and negative ranges, so the ideal value N can be set to 0 degrees.

[0160] In addition, the reason why the AHR is preferably applied in the first predetermined range is that there are cutoff values ​​for each of the high arch and the low arch, and therefore the ideal value N can be set to the average value of the high arch and the low arch. For example, when the cutoff value of the high arch is 20 degrees and the cutoff value of the low arch is 10 degrees, the ideal value N of the AHR is 15 degrees.

[0161] The reason why MPA is preferably applied in the first predetermined range is that the measured value of MPA spans the positive and negative ranges, so the ideal value N can be set to 0 mm. 2 .

[0162] For example, when the acquisition unit 112 (refer to Fig. 9 ) when obtaining a first value V1 (at least one of HA, AHR, and MPA), the flat foot grade is evaluated based on whether the first value V1 belongs to a first prescribed range.

[0163] First, the case where the first value V1 is HA is described. Figure 3 As explained in the , the larger the HA is, the more likely you are to have flat feet. Fig.15 In the example of , when the first value V1 is less than N-3d, the conversion unit 114 sets the first score C1 to "-2". When the first value V1 is greater than or equal to N-3d and less than Nd, the conversion unit 114 sets the first score C1 to "-1".

[0164] When the first value V1 is greater than or equal to Nd and less than N+d (belongs to the first predetermined range), the conversion unit 114 sets the first score C1 to "0". When the first value V1 is greater than or equal to N+d and less than N+3d, the conversion unit 114 sets the first score C1 to "+1". When the first value V1 is greater than or equal to N+3d, the conversion unit 114 sets the first score C1 to "+2".

[0165] Furthermore, when the first value V1 is set to AHR, Fig.15 The scores of -2, -1, +1, and +2 are +2, +1, -1, and -2 respectively. In addition, when the first value V1 is set to MPA, Fig.15 The ratings are the same.

[0166] In this way, the evaluation device 1 sets the reference of the first specified range to the ideal value of the first value V1, so that the flat foot level can be evaluated based on the bone shape of the foot without being affected by the overall parameters of the subject, etc. In addition, since the first value V1 is at least one of HA, AHR, and MPA, the evaluation device 1 can apply the first specified range based on the ideal value to the index value (HA, AHR, and MPA) from which the ideal value is easily derived.

[0167] Fig.16 It is a diagram for explaining the second prescribed range. The center value (reference value) of the second prescribed range is set to the pre-calculated average value A of the second value described later of the prescribed population. The population is, for example, a group of subjects including a certain number (for example, 200 people). In addition, the lower limit value of the second prescribed range is the value obtained by subtracting SD from the average value A (average value A-SD). The upper limit value of the second prescribed range is the value obtained by adding SD to the average value A (average value A+SD). In addition, "SD" represents the standard deviation of the population. That is, the second prescribed range is a range that follows a normal distribution.

[0168] In this embodiment, the preferred index value for applying the second specified range is at least one of the index value related to the frontal plane and the index value related to the horizontal plane. At least one of the index value related to the frontal plane and the index value related to the horizontal plane corresponds to the "second value" of the present disclosure. The second value is also referred to as the "second value V2". In addition, as Figure 3 As shown in FIG. 1 , the index value related to the frontal plane is at least one of HA and LHA. Figure 3 As shown, the index value related to the water level is at least one of MPA, HCA, and CA.

[0169] The reason why at least one of the index value related to the frontal plane and the index value related to the horizontal plane is preferably applied to the second prescribed range is explained. The inventors found that the discrimination ability (area under the curve (AUC)) of flat feet is low for the index value related to the frontal plane and the index value related to the horizontal plane. Therefore, according to this structure, the evaluation device 1 can apply the second prescribed range without using a cutoff value to the index value with low discrimination ability of flat feet.

[0170] For example, when the acquisition unit 112 (refer to Fig. 9 ) when obtaining a second value V2 (at least one of an index value related to the frontal plane and an index value related to the horizontal plane), the flat feet grade is evaluated based on whether the second value V2 belongs to a second prescribed range.

[0171] First, the case where the second value V2 is HA is described. Figure 3 As explained in the , the larger the HA is, the more likely you are to have flat feet. Fig.16 In the example of , when the second value V2 is less than A-2SD, the conversion unit 114 sets the first score C1 to "-2". When the second value V2 is greater than A-2SD and less than A-SD, the conversion unit 114 sets the first score C1 to "-1".

[0172] When the second value V2 is greater than or equal to A-SD and less than A+SD (falls within the second predetermined range), the conversion unit 114 sets the first score C1 to "0". When the second value V2 is greater than or equal to A+SD and less than A+2SD, the conversion unit 114 sets the first score C1 to "+1". When the second value V2 is greater than or equal to A+2SD, the conversion unit 114 sets the first score C1 to "+2".

[0173] Furthermore, when the second value V2 is set to HCA and CA (the smaller the value, the more likely it is to be flat feet), Fig.16 The scores of -2, -1, +1, and +2 are +2, +1, -1, and -2 respectively. In addition, when the second value V2 is set to LHA ​​and MPA, Fig.16 The ratings are the same.

[0174] Thus, regarding the second specified range, the benchmark is set to the average value of the second value V2 of the population, and the upper limit and lower limit of the second specified range are specified by addition and subtraction of the standard deviation SD. Therefore, the evaluation device 1 follows the normal distribution to evaluate the flat foot level, so it is possible to evaluate where the subject is located in the normal distribution. In addition, the evaluation device 1 can apply the second specified range without using a cutoff value to the index values ​​(index values ​​related to the frontal plane and index values ​​related to the horizontal plane) with low flat foot discrimination ability.

[0175] Fig.17 : is a diagram for explaining the third prescribed range. With respect to the third prescribed range, a cutoff value C of the third value described later of the prescribed population is prescribed as a reference value. The population is, for example, a group of subjects including a certain number (e.g., 200 people). In addition, the lower limit value of the third prescribed range is the cutoff value C. The upper limit value of the third prescribed range is the value obtained by adding 2SD to the cutoff value C (cutoff value C+2SD). In addition, "SD" represents the standard deviation of the third value of the population.

[0176] In this embodiment, the preferred index value for which the third prescribed range is applied is the index value related to the sagittal plane. The index value related to the sagittal plane corresponds to the "third value" of the present disclosure. The third value is also referred to as the "third value V3". In addition, Figure 3 As shown, the index value related to the sagittal plane is at least one of AHR, MAA, and IA.

[0177] The reason why the index value related to the sagittal plane is preferably applied to the third prescribed range is explained. The inventors have found that the discrimination ability (AUC) of flat feet is high for the index value related to the sagittal plane. Therefore, according to this structure, the evaluation device 1 can improve the accuracy of flat foot judgment by applying the third prescribed range based on the cutoff value to the index value (index value related to the sagittal plane) with high flat foot discrimination ability.

[0178] For example, when the acquisition unit 112 (refer to Fig. 9 ) When the third value V3 (index value related to the sagittal plane) is obtained, the flat foot grade is evaluated based on whether the third value V3 belongs to the third specified range.

[0179] First, the case where the third value V3 is AHR is described. Figure 3 As explained in the , the smaller the AHR is, the more likely you are to have flat feet. Fig.17 In the example of , when the third value V3 is less than C-SD, the conversion unit 114 sets the third score C3 to "+2". When the third value V3 is greater than or equal to C-SD and less than C, the conversion unit 114 sets the third score C3 to "+1".

[0180] When the third value V3 is greater than or equal to C and less than C+2SD (falls within the third specified range), the conversion unit 114 sets the third score C3 to "0". When the third value V3 is greater than or equal to C+2SD and less than or equal to C+3SD, the conversion unit 114 sets the third score C3 to "-1". When the third value V3 is greater than or equal to C+3SD, the conversion unit 114 sets the third score C3 to "-2". In addition, when the third value V3 is set to MAA or IA, Fig.17 The ratings are the same.

[0181] In this way, regarding the third prescribed range, the benchmark is defined as the cutoff value C of the third value V3 of the population. Therefore, the evaluation device 1 evaluates the flat foot grade based on the cutoff value C, and thus can also consider the deviation of the distribution of the population of the subject, and evaluate the flat foot grade based on the bone shape of the foot. In addition, the evaluation device 1 applies the third prescribed range using the cutoff value to the index value (index value related to the sagittal plane) with high flat foot discrimination ability, so that the evaluation accuracy of the flat foot grade can be improved.

[0182] In addition, in at least one of the first to third predetermined ranges, the value added or subtracted from the reference value may be set to another value. For example, with respect to the first predetermined range, the ideal value N is used as the center value, and the value added or subtracted may be set to the standard deviation SD. In addition, with respect to the third predetermined range, the cutoff value C may be set to the center value.

[0183] Fig.18This is an example of a score or the like calculated using the first to third predetermined ranges for each of the eight index values. Fig.18 , showing an example in which the first score C1 to the eighth score C8 are "1", "0", "1", "1", "1", "2", "1", and "1", respectively.

[0184] In addition, Fig.18 In the example of , the optimized score is shown. The optimized score is calculated for each plane of the foot (frontal plane, sagittal plane, horizontal plane). The optimized score is typically a normalized score. The optimized score is calculated, for example, by dividing the total value of the scores of each plane by the maximum total value of the plane. For example, the optimized score of the sagittal plane is calculated by 3 (=1+1+1) ÷ 6 (=2×3).

[0185] Furthermore, the generating unit 116 calculates the flat feet grade by substituting the optimized score of each surface into the following formula (1).

[0186] Flat foot grade = 1×optimized score of frontal plane + 3×optimized score of sagittal plane + 1×optimized score of transverse plane (1)

[0187] In this disclosure, Fig.18 The optimized score of the sagittal plane corresponds to the "first index value score" of the present disclosure. In addition, Fig.18 The optimized score of the frontal plane and the optimized score of the horizontal plane correspond to the “second indicator value score” of the present disclosure.

[0188] In formula (1), the first coefficient multiplied by the optimized score of the sagittal plane (first index score) is "3". On the other hand, in formula (1), the second coefficient multiplied by the optimized score of the frontal plane and the optimized score of the horizontal plane (second index score) is "1". Therefore, the first coefficient is greater than the second coefficient. In this way, the generation unit 116 of the present embodiment provides a higher weight to the first index score than the second index score to evaluate (calculate) the flatfoot level. Therefore, compared with the frontal plane and the horizontal plane, the evaluation device 1 can place more emphasis on the sagittal plane, which has a high correlation with flatfoot, to evaluate the flatfoot level. In addition, Fig.18 When the score is substituted into the formula (1), the flat foot grade is about 4.8.

[0189] <Fourth embodiment>

[0190] In the fourth embodiment, details of the display screen of the display 3 will be described. Fig.19 3 is a diagram for explaining an example of a display screen of the display 3. Fig.19In the example of FIG. 2 , a flat foot grade image 201 and a flat foot type image 204 are displayed. The flat foot grade image 201 is an image showing the flat foot grade. The generating unit 116 calculates the flat foot grade using, for example, the above-mentioned formula (1). Fig.19 In the example shown in FIG. 1 , a symbol corresponding to the flat foot grade, i.e., “A”, is displayed.

[0191] The flatfoot type image 204 is an image representing the flatfoot type. Here, the flatfoot type is explained. The flatfoot type is typically information generated based on at least two of three index values, the three index values ​​being an index value related to the frontal plane, an index value related to the sagittal plane, and an index value related to the horizontal plane. Among the at least two index values, it is preferred to include an index value related to the sagittal plane that has a high correlation with flatfoot. In the present embodiment, all of the at least two index values ​​are used to generate the flatfoot type.

[0192] The flat foot type is more specifically information defined by the characteristics of each of the three index values. The characteristics of the index value related to the frontal plane are valgus and inversion. The characteristics of the index value related to the sagittal plane are low arch and high arch. The characteristics of the index value related to the horizontal plane are straight type and curved type.

[0193] The flatfoot type image 204 includes a characteristic image 202 and a name image 203. The characteristic image 202 is an image related to the characteristics of each of the three index values. In addition, the name image 203 is an image indicating the name of the flatfoot type.

[0194] Fig.19 Examples of flat feet types are in the scoring Fig.18 The information generated in the example case. Fig.18 In the example of , the optimized score of the frontal plane is +1 / 4, so in the feature image 202, an image showing the biased eversion as a feature of the frontal plane is displayed. Fig.18 In the example of , the post-optimization score of the sagittal plane is +3 / 6, so an image showing a low arch as a characteristic of the sagittal plane is displayed in the feature image 202. Fig.18 In the example of , the post-optimization score of the sagittal plane is +4 / 6, and therefore, in the characteristic image 202, an image representing a linear shape that is a characteristic of the sagittal plane is displayed.

[0195] In addition, as the name image 203, a text image of "straight flat feet" is displayed.

[0196] Fig. 20204A is a diagram for explaining another flat foot type image, that is, an example of a flat foot type image. The flat foot type image 204A includes a first coordinate image 211, a second coordinate image 212, and a third coordinate image 213. Fig. 20 In FIG. 2 , a third coordinate image 213 is shown instead of the square images. Fig.21 2 is a diagram showing an example of the third coordinate image 213 .

[0197] The first coordinate image 211, the second coordinate image 212, and the third coordinate image 213 are images that present the characteristics of two of the three index values ​​by planes defined by the X-axis and the Y-axis. The X-axis of the first coordinate image 211 corresponds to the characteristics of the frontal plane, and the Y-axis corresponds to the characteristics of the sagittal plane. In addition, the X-axis of the second coordinate image 212 corresponds to the characteristics of the horizontal plane, and the Y-axis corresponds to the characteristics of the sagittal plane. The X-axis of the third coordinate image 213 corresponds to the characteristics of the frontal plane, and the Y-axis corresponds to the characteristics of the horizontal plane. In the first coordinate image 211, the second coordinate image 212, and the third coordinate image 213, the image M is an image representing the index value determined in the subject. Through the image M, the subject of the first coordinate image 211, the second coordinate image 212, and the third coordinate image 213 can visually recognize the characteristics of the three index values ​​of the subject, etc.

[0198] As described above, the evaluation device 1 of the present embodiment can evaluate the type of flat feet based on at least two index values ​​in the frontal plane, the sagittal plane, and the horizontal plane. In addition, the so-called flat feet typically indicates a state in which the arch of the foot is generally lowered (morphological changes in the sagittal plane). Therefore, the evaluation device 1 can evaluate from more angles by also evaluating the lowering of the arch of the foot in at least one of the horizontal plane and the frontal plane. That is, the evaluation device 1 can infer why the arch of the foot is lowered. Therefore, the at least two index values ​​preferably include an index value related to the sagittal plane for evaluating whether the arch of the foot is lowered. Therefore, the evaluation device 1 can evaluate the type of flat feet from multiple angles.

[0199] In addition, the evaluation device 1 displays on the display 3 Fig.19 and Fig. 20 The evaluation device 1 can provide a flatfoot grade image 201 and a flatfoot type image 204 showing the characteristics of the at least two index values. Therefore, the evaluation device 1 can allow the subject to recognize the flatfoot grade and the flatfoot type.

[0200] In addition, Fig. 20 and Fig.21 In the example of FIG. 1 , a screen is described in which two index values ​​of three surfaces are displayed two-dimensionally. However, the display 3 may also display the index values ​​of three surfaces three-dimensionally.

[0201] <Fifth embodiment>

[0202] Generally speaking, the bones of the foot are different depending on the attributes of the subject. For example, the bones of the foot of a Japanese woman and an American man are different. Therefore, when the subject is a Japanese woman and when the subject is an American man, the flat foot grade assessment accuracy may not be improved when the assessment device 1 uses the same prescribed range for the same index value.

[0203] Therefore, the evaluation device 1 of the fifth embodiment evaluates the flat feet level of the subject using a predetermined range according to the subject's attributes. The subject's attributes include, for example, gender, race, height, weight, and age.

[0204] Fig. 22 This is an example of a database (Data Base, DB) that defines the correspondence between attributes and the ranges to which the index values ​​are applied. The storage unit 118 of the fifth embodiment stores the DB. The range includes, for example, the first range to the eighth range (see Figure 3 ) etc. The DB corresponds to the “range information” of the present disclosure.

[0205] exist Fig. 22 In the example of , the first to eighth ranges corresponding to Japanese adult males (attribute) are stored, and the first to eighth ranges corresponding to Japanese adult females (attribute) are stored. Ranges corresponding to other attributes are not recorded.

[0206] Next, the processing flow of the evaluation device 1 of this embodiment is described. The acquisition unit 112 acquires the attributes of the subject. For example, the evaluation device 1 displays an attribute input screen (not shown) and causes the subject to input the attributes from the input screen, and the acquisition unit 112 acquires the attributes of the subject. Then, the conversion unit 114 refers to Fig. 22 The DB of the present invention determines a prescribed range corresponding to the acquired attribute. Further, the flat foot level is evaluated based on whether at least one index value belongs to the determined prescribed range. The evaluation method uses the method of the third embodiment, for example.

[0207] The evaluation device 1 of this embodiment evaluates the flat feet level based on whether at least one index value belongs to a specified range corresponding to the attribute of the subject. Therefore, compared with a structure that uses the same specified range regardless of the attribute of the subject, the evaluation device 1 can improve the evaluation accuracy of the flat feet level.

[0208] In addition, Fig. 22 The specified range includes the range that follows the normal distribution (refer to Fig.16 ), it is possible to assess where a subject lies in the normal distribution corresponding to the attributes of the subject.

[0209] <Modification>

[0210] (1) In the above embodiment, the use of Fig.11 The evaluation device 1 is an evaluation device for flat feet evaluation using the eight index values ​​described in the embodiment. However, the evaluation device 1 may also use a part of the eight index values ​​to evaluate flat feet. For example, the evaluation device 1 may also use any one of the eight index values ​​to evaluate flat feet.

[0211] In addition, for example, the evaluation device 1 can also be used Figure 4 In addition, the evaluation device 1 can also use any of the HA and LHA index values ​​shown. Figure 4 The evaluation device 1 may also evaluate flat feet using MAA, IA, HCA, and CA, which are index values ​​that have a high correlation with the X-ray index value.

[0212] (2) In the above embodiment, it is described that Figure 1 As shown, the three devices (measurement device 2, evaluation device 1, and display 3) are different devices. However, at least two of the three devices may be the same device.

[0213] (3) In the above embodiment, the following structure is adopted: Fig. 9 As shown, the evaluation device 1 is configured to evaluate flat feet based on comparison of eight index values ​​and ranges corresponding to the eight index values. However, the evaluation device 1 may also evaluate flat feet based on eight index values ​​using so-called AI.

[0214] (4) In the above embodiment, the evaluation device 1 evaluates the flat feet level of the subject's foot based on at least one index value. However, the evaluation device 1 may also classify the shape of the arch of the subject's foot into any one of a plurality of groups based on at least one index value.

[0215] (5) In the above embodiment, the output destination of the evaluation result is described as a display. However, the output destination of the evaluation result may be other. A configuration in which the output destination of the evaluation result is set to, for example, a printer may also be adopted. In the case of adopting such a configuration, the evaluation device 1 outputs a paper with the evaluation result printed thereon from the printer.

[0216] Furthermore, at least two of the configuration of the present embodiment and the configuration described in the modification examples may be combined for implementation.

[0217] [Example]

[0218] Those skilled in the art will appreciate that the multiple exemplary implementations are specific examples of the following embodiments.

[0219] (Item 1) The evaluation device of the present disclosure evaluates the shape of a subject's foot. The evaluation device includes a memory and a processor. The memory stores three-dimensional data of the shape of the subject's foot measured by a measuring device. The processor calculates an index value for determining the shape of the foot based on the three-dimensional data read from the memory. The processor calculates at least one of an index value related to the frontal plane of the foot, an index value related to the sagittal plane of the foot, and an index value related to the horizontal plane of the foot as index values ​​for determining the shape of the foot based on the three-dimensional data. In addition, the processor evaluates the flatfoot level of the subject's foot based on at least one index value.

[0220] According to such a configuration, since the evaluation device does not need to irradiate the subject with X-rays, the burden on the subject can be suppressed and the flatfoot level of the subject's foot can be evaluated.

[0221] (Item 2) An evaluation device according to Item 1, wherein the index value related to the sagittal plane includes an arch index value related to the arch of the foot and a non-arch index value different from the arch index value, and the processor calculates at least the index value related to the sagittal plane of the foot based on the three-dimensional data.

[0222] According to such a configuration, the evaluation device uses not only the arch index value but also the non-arch index value to perform evaluation of flat feet and concave feet. Therefore, the evaluation device can perform multi-faceted evaluation.

[0223] (Item 3) The evaluation device according to Item 2, wherein the non-arch index value includes an angle between a straight line formed by the instep of the foot and a straight line formed by a horizontal line of the foot.

[0224] According to such a configuration, since the angle is an index value having a large correlation coefficient with a highly accurate X-ray index value, the evaluation device can perform highly accurate evaluation.

[0225] (Item 4) An evaluation device according to Item 2 or Item 3, wherein the arch index value includes the total angle of the angle formed by the straight line formed by the front part of the arch line of the foot and the horizontal line of the foot, and the angle formed by the straight line formed by the rear part of the arch line and the horizontal line of the foot.

[0226] According to such a configuration, since the total angle is an index value having a large correlation coefficient with a highly accurate X-ray index value, the evaluation device can perform highly accurate evaluation.

[0227] (Item 5) The evaluation device according to any one of Items 2 to 4, wherein the arch index value includes an arch height ratio.

[0228] The arch height ratio is an index value directly related to the presence or absence of flat feet and concave feet. Therefore, the evaluation device can perform high-precision evaluation.

[0229] (Item 6) An evaluation device according to any one of Items 1 to 5, wherein the index value related to the horizontal plane of the foot includes a rear foot angle formed by a center line of the entire foot and a center line of the rear foot of the foot, and the processor calculates at least the index value related to the horizontal plane of the foot based on the three-dimensional data.

[0230] According to such a configuration, since the rear crus angle is an index value having a large correlation coefficient with a highly accurate X-ray index value, the evaluation device can perform highly accurate evaluation.

[0231] (Item 7) An evaluation device according to any one of Items 1 to 6, wherein the index value related to the horizontal plane of the foot includes the total angle of the angle formed by the center line of the entire foot and the center line of the forefoot part of the foot and the angle of the rear foot.

[0232] According to such a configuration, since the total angle is an index value having a large correlation coefficient with a highly accurate X-ray index value, the evaluation device can perform highly accurate evaluation.

[0233] (Item 8) An evaluation device according to any one of Items 1 to 7, wherein the index value related to the horizontal plane of the foot includes the area of ​​the portion located on the inner side of the foot relative to a straight line connecting an outer contour point representing the width of the heel of the foot and an outer contour point in the middle of the foot when looking down on the horizontal plane of the foot, and the processor calculates at least the index value related to the horizontal plane of the foot based on the three-dimensional data.

[0234] According to such a configuration, the evaluation device can perform various evaluations because it evaluates flat feet and concave feet based on the area which is a physical quantity different from the angle.

[0235] (Item 9) An evaluation device according to any one of Items 1 to 8, wherein the index value related to the frontal plane of the foot includes the angle formed by the vertical axis of the foot and the midline of the heel of the foot, and the processor calculates at least the index value related to the frontal plane of the foot based on the three-dimensional data.

[0236] According to such a configuration, the evaluation device can perform evaluation of flat feet based on the index value related to the frontal plane.

[0237] (Item 10) An evaluation device according to any one of Items 1 to 9, wherein the index value related to the frontal plane of the foot includes the angle formed by the calf axis of the foot and the midline of the heel of the foot, and the processor calculates at least the index value related to the frontal plane of the foot based on the three-dimensional data.

[0238] According to such a configuration, the evaluation device can perform evaluation of flat feet based on the index value related to the frontal plane.

[0239] (Item 11) The evaluation device according to any one of Items 1 to 10, wherein the processor classifies the shape of the arch of the subject's foot into any one of a plurality of groups based on the evaluation result of the flatfoot level.

[0240] According to this configuration, the evaluation device allows the measurer to recognize the group to which the subject's foot belongs.

[0241] (Item 12) The evaluation device according to Item 11, wherein the plurality of groups include at least one of a group representing flat feet, a group representing concave feet, and a group representing standard feet.

[0242] According to this configuration, the evaluation device allows the measurer to recognize to which of at least two groups the subject's foot belongs, namely, the group indicating flat feet, the group indicating concave feet, and the group indicating standard feet.

[0243] (Item 13) An evaluation device according to any one of Items 1 to 12, wherein the processor makes a recommendation on at least one of the subject's shoes, the subject's shoe last, the subject's shoe insole, the subject's foot care, and the subject's training based on at least one indicator value.

[0244] According to such a structure, the evaluation device can perform at least one of a proposal of the subject's shoes, the subject's shoe last, and the insole of the subject's shoes, the subject's foot care, and the subject's training.

[0245] (Item 14) The evaluation device according to any one of Items 1 to 13, wherein the processor calculates at least two of an index value related to a frontal plane of the foot, an index value related to a sagittal plane of the foot, and an index value related to a horizontal plane of the foot based on the three-dimensional data. The processor evaluates the flatfoot type of the subject's foot based on the at least two index values.

[0246] According to this structure, the flatfoot type based on at least two index values ​​in the frontal plane, the sagittal plane, and the horizontal plane can be evaluated.

[0247] (Item 15) The evaluation device according to Item 14, wherein the at least two index values ​​include an index value related to the sagittal plane.

[0248] According to this structure, the type of flat feet based on the index value of the sagittal plane related to flat feet can be evaluated.

[0249] (Item 16) The evaluation device according to Item 14 or 15, further comprising a display that displays an image indicating the flatfoot grade and an image indicating the flatfoot type. The image indicating the flatfoot type includes information related to features of at least two index values.

[0250] According to such a structure, the subject can recognize not only the flatfoot grade but also the flatfoot type representing the characteristics of the at least two index values.

[0251] (Item 17) The evaluation device according to any one of Items 1 to 16, wherein the processor determines a first index value score related to the index value related to the sagittal plane of the foot, and a second index value score related to at least one of the index value related to the frontal plane of the foot and the index value related to the horizontal plane of the foot. The processor gives a higher weight to the first index value score than the second index value score to evaluate the flat foot grade.

[0252] Based on this structure, the sagittal plane, which is associated with flatfoot, can be emphasized more than the frontal and transverse planes to assess the grade of flatfoot.

[0253] (Item 18) The evaluation device according to any one of Items 1 to 17, wherein the at least one index value includes a first value. The processor evaluates the flat feet level based on whether the first value belongs to a first prescribed range. The first prescribed range is prescribed based on an ideal value of the first value.

[0254] According to such a configuration, since the reference of the first predetermined range is set to the ideal value of the first value, the flatfoot grade can be evaluated based on the bone shape of the foot without being affected by the overall parameters of the subject.

[0255] (Item 19) An evaluation device according to Item 18, wherein the first value includes: an angle formed by a vertical axis of the foot and a midline of a heel portion of the foot as an indicator value related to the frontal plane; an arch height ratio as an indicator value related to the sagittal plane; and at least one of an area of ​​a portion of the foot located on the inner side relative to a straight line connecting an outer contour point representing the width of the heel of the foot with an outer contour point of the middle portion of the foot when viewed from above on the horizontal plane of the foot.

[0256] According to such a configuration, the first predetermined range based on the ideal value can be applied to the index value from which the ideal value can be easily derived.

[0257] (Item 20) The evaluation device according to any one of Items 1 to 19, wherein at least one index value includes a second value. The processor evaluates the flat foot level based on whether the second value belongs to a second specified range. The second specified range is specified based on an average value of the second value of a specified population.

[0258] According to this structure, since the flatfoot grade is assessed following a normal distribution, it is possible to assess where the subject is located in the normal distribution.

[0259] (Item 21) The evaluation device according to Item 20, wherein the second value includes at least one of an index value related to a frontal plane and an index value related to a horizontal plane.

[0260] The inventors found that the ability to discriminate flat feet (AUC) is low for the index value related to the frontal plane and the index value related to the horizontal plane. Therefore, according to this structure, the second prescribed range without using a cutoff value can be applied to the index value with low ability to discriminate flat feet.

[0261] (Item 22) An evaluation device according to any one of Items 1 to 21, wherein at least one index value includes a third value. The processor evaluates the flat foot grade based on whether the third value belongs to a third prescribed range. The third prescribed range is prescribed based on a cutoff value of the third value of a prescribed population.

[0262] According to such a structure, since the flatfoot grade is evaluated based on the cutoff value, the deviation of the overall distribution of the subjects can also be considered, and the flatfoot grade is evaluated based on the bone shape of the foot.

[0263] (Item 23) The evaluation device according to Item 22, wherein the third value includes at least one value included in the index value related to the sagittal plane.

[0264] The inventors have found that the index value related to the sagittal plane has a high ability to distinguish flat feet. Therefore, according to this configuration, the third predetermined range using a cutoff value can be applied to the index value having a high ability to distinguish flat feet.

[0265] (Item 24) An evaluation device according to any one of Items 1 to 23, wherein the memory stores range information, wherein a prescribed range corresponding to at least one index value in the range information is prescribed in correspondence with each attribute of the subject. The processor acquires the attribute of the subject. The processor determines a prescribed range corresponding to the acquired attribute and corresponding to at least one index value by referring to the range information. Furthermore, the processor evaluates the flat feet grade based on whether the at least one index value belongs to the determined prescribed range.

[0266] According to such a structure, the flat feet level can be evaluated based on the attributes of the subject.

[0267] In addition, the embodiments and their modifications disclosed this time should be considered as illustrative in all aspects and not restrictive. The scope of the present invention is indicated by the claims rather than the description, and is intended to include all changes within the meaning and scope equivalent to the claims. In addition, the inventions described in the embodiments and their modifications are intended to be implemented either individually or in combination as much as possible.

[0268] Description of Figure Numbers

[0269] 1: Evaluation device

[0270] 2: Measurement device

[0271] 3: Display

[0272] 11: Processor

[0273] 12: Memory

[0274] 13: Storage

[0275] 14: Interface

[0276] 17: Processor Bus

[0277] 18: Removable disk

[0278] 21: Top plate

[0279] 22: Laser measurement unit

[0280] 100: Evaluation system

[0281] 112: Acquisition Department

[0282] 114: Conversion Department

[0283] 116: Generation Department

[0284] 118: Storage

[0285] 131: Evaluation Procedure

[0286] 133: Range Group

[0287] 201: Flat feet level image

[0288] 202: Feature Image

[0289] 203: Name Image

[0290] 204, 204A: Flatfoot type images

[0291] 211: First coordinate image

[0292] 212: Second coordinate image

[0293] 213: Third coordinate image

Claims

1. An evaluation device for evaluating the shape of a subject's foot, comprising: a memory storing three-dimensional data of the shape of the foot of the subject measured by the measuring device; as well as a processor that calculates an index value for determining a foot shape based on the three-dimensional data read from the memory, The processor calculating at least one of an index value related to a frontal plane of the foot, an index value related to a sagittal plane of the foot, and an index value related to a horizontal plane of the foot as an index value for determining the shape of the foot based on the three-dimensional data, The flatfoot level of the subject's foot is assessed based on the at least one index value.

2. The evaluation device according to claim 1, wherein: The index values ​​related to the sagittal plane include: an arch index value associated with the arch of the foot, and a non-arch index value different from the arch index value, The processor calculates at least an index value related to the sagittal plane of the foot based on the three-dimensional data.

3. The evaluation device according to claim 2, wherein: The non-arch index value includes an angle between a straight line formed by the instep of the foot and a straight line formed by a horizontal line of the foot.

4. The evaluation device according to claim 2 or 3, wherein: The arch index value includes a total angle of an angle formed by a straight line formed by a front part of the arch line of the foot and a horizontal line of the foot, and an angle formed by a straight line formed by a rear part of the arch line and the horizontal line of the foot.

5. The evaluation device according to claim 2 or 3, wherein: The arch index value includes an arch height ratio.

6. The evaluation device according to any one of claims 1 to 3, wherein: The index value related to the horizontal plane of the foot includes a rear foot angle formed by the center line of the entire foot and the center line of the rear foot of the foot, The processor calculates at least an index value related to the horizontal plane of the foot based on the three-dimensional data.

7. The evaluation device according to claim 6, wherein: The index value related to the horizontal plane of the foot includes a total angle of an angle formed by a center line of the entire foot, a center line of a front foot portion of the foot, and an angle of the rear foot portion.

8. The evaluation device according to any one of claims 1 to 3, wherein: The index value related to the horizontal plane of the foot includes the area of ​​the portion located on the inner side of the foot relative to the straight line connecting the outer contour point representing the heel width of the foot and the outer contour point of the middle of the foot when viewed from above on the horizontal plane of the foot, The processor calculates at least an index value related to the horizontal plane of the foot based on the three-dimensional data.

9. The evaluation device according to any one of claims 1 to 3, wherein: The index value related to the frontal plane of the foot includes the angle between the vertical axis of the foot and the midline of the heel of the foot, The processor calculates at least an index value related to the frontal plane of the foot based on the three-dimensional data.

10. The evaluation device according to any one of claims 1 to 3, wherein: The index value related to the frontal plane of the foot includes the angle formed by the calf axis of the foot and the midline of the heel of the foot, The processor calculates at least an index value related to the frontal plane of the foot based on the three-dimensional data.

11. The evaluation device according to any one of claims 1 to 3, wherein: The processor classifies the shape of the arch of the subject's foot into any one of a plurality of groups based on the evaluation result of the flatfoot level.

12. The evaluation device according to claim 11, wherein: The plurality of groups include at least two of a group representing flat feet, a group representing concave feet, and a group representing standard feet.

13. The evaluation device according to any one of claims 1 to 3, wherein: The processor proposes at least one of the subject's shoes, the subject's shoe last, the subject's shoe insole, the subject's foot care, and the subject's training based on the at least one index value.

14. The evaluation device according to claim 1, wherein: The processor calculating at least two of an index value related to the frontal plane of the foot, an index value related to the sagittal plane of the foot, and an index value related to the horizontal plane of the foot according to the three-dimensional data; The flatfoot type of the subject's foot is assessed based on the at least two index values.

15. The evaluation device according to claim 14, wherein: The at least two index values ​​include an index value related to the sagittal plane.

16. The evaluation device according to claim 14, further comprising a display that displays an image indicating the flatfoot grade and an image indicating the flatfoot type, The image representing the flatfoot type contains information related to the features of the at least two index values.

17. The evaluation device according to claim 1, wherein: The processor determining a first index value score associated with an index value associated with a sagittal plane of the foot and a second index value score associated with at least one of an index value associated with a frontal plane of the foot and an index value associated with a horizontal plane of the foot, The first index value score is given a higher weight than the second index value score to evaluate the flatfoot grade.

18. The evaluation device according to claim 1, wherein: The at least one indicator value comprises a first value, the processor evaluating the flat feet grade based on whether the first value belongs to a first prescribed range, The first predetermined range is defined based on an ideal value of the first value.

19. The evaluation device according to claim 18, wherein: The first value includes: an angle between the vertical axis of the foot and the midline of the heel of the foot as an index value related to the frontal plane; an arch height ratio as an index value related to the sagittal plane; and At least one of the areas of the portion located on the inner side of the foot relative to a straight line connecting an outer contour point representing the width of the heel of the foot and an outer contour point in the middle of the foot when viewed from above on the horizontal plane of the foot, as an index value related to the horizontal plane.

20. The evaluation device according to claim 1, wherein: The at least one indicator value comprises a second value, the processor evaluating the flat feet grade based on whether the second value belongs to a second prescribed range, The second predetermined range is defined based on an average value of the second values ​​of a predetermined population.

21. The evaluation device according to claim 20, wherein: The second value includes: An index value related to the frontal plane, and At least one of the indicator values ​​related to the horizontal plane.

22. The evaluation device according to claim 1, wherein: The at least one indicator value comprises a third value, the processor evaluating the flat feet grade based on whether the third value belongs to a third prescribed range, The third specified range is specified based on a cutoff value of the third value of a specified population.

23. The evaluation device according to claim 22, wherein: The third value includes at least one value included in the index value related to the sagittal plane.

24. The evaluation device according to claim 1, wherein: The memory stores range information, wherein a prescribed range corresponding to the at least one index value is prescribed in correspondence with each attribute of the subject, The processor Get the properties of the object, By referring to the range information, determining a prescribed range corresponding to the acquired attribute and corresponding to the at least one indicator value, The flat feet grade is evaluated based on whether the at least one index value belongs to the determined prescribed range.

25. A method for evaluating the shape of a foot of an evaluation subject, comprising: calculating at least one of an index value related to a frontal plane of the foot, an index value related to a sagittal plane of the foot, and an index value related to a horizontal plane of the foot based on three-dimensional data of the shape of the foot of the subject measured by a measuring device; as well as The flatfoot level of the subject's foot is assessed based on the at least one index value.

26. An evaluation program for evaluating the shape of a foot of an evaluation subject, wherein: The evaluation program causes the computer to execute the following steps: calculating at least one of an index value related to a frontal plane of the foot, an index value related to a sagittal plane of the foot, and an index value related to a horizontal plane of the foot based on three-dimensional data of the shape of the foot of the subject measured by a measuring device; as well as The flatfoot level of the subject's foot is assessed based on the at least one index value.

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