Information processing device, information processing method, program, and load distribution measuring device

Abstract

To provide an information processing device capable of measuring the distribution of deterioration of the load distribution sensor in a simple way.SOLUTION: An information processing device in an embodiment includes: an acquisition unit that acquires detection results from each element of a load distribution sensor that has multiple elements arranged in a matrix for detecting the load received from the sole of a user when a foot of the user is placed thereon; and a determination processing unit that is configured to determine the degradation level of each element based on the evaluation results of each element of the detection result of the multiple elements in the surrounding area of the load distribution sensor.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, a program, and a load distribution measuring device. [Background technology]

[0002] Patent Document 1 discloses a load measurement system including a detachable foot pressure distribution sensor unit and a load detection sensor unit. The system described in Patent Document 1 calculates an error between a subject's weight data calculated based on each foot pressure data measured by the foot pressure distribution detection sensor unit and a subject's weight data calculated based on each load data measured by the load detection sensor unit, and evaluates the deterioration state of the foot pressure distribution detection sensor unit based on the calculated error. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2009-63526 A Summary of the Invention [Problem to be solved by the invention]

[0004] A walking training system has been developed to train patients to walk for the purpose of rehabilitation. In the walking training system, a load distribution sensor installed on a treadmill measures the load distribution of the user. The load distribution sensor is a load distribution sensor sheet that has multiple elements that are pressure detection points. The multiple elements are arranged in a matrix parallel to the walking surface that supports the soles of the feet of a patient in a standing position.

[0005] In such load distribution sensors, errors occur in the sensor output value due to aging, so appropriate measures such as repair or replacement are required. For this reason, it is necessary to measure the degree of deterioration of each element of the load distribution sensor. It is expected that the measurement of the degree of deterioration of such a load distribution sensor will be performed, for example, by machine learning.

[0006] Such load distribution sensors generally have a wide detection surface, so placing weights of a given weight on the load distribution sensor in order from one end to the other and testing based on the change in the load value requires a huge amount of time and effort. Also, measuring a large, sheet-like load distribution sensor may require a large measuring tool such as a roller or airbag.

[0007] The present invention has been made in consideration of such problems, and an object of the present invention is to provide an information processing device, an information processing method, a program, and a load distribution measuring device that are capable of measuring the distribution of the deterioration degree of a load distribution sensor in a simple manner. [Means for solving the problem]

[0008] An information processing device according to one embodiment of the present disclosure includes an acquisition unit that acquires detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix to detect the load received from the sole of a user's foot when the user's foot is placed on the sensor, and a judgment processing unit that judges the degree of deterioration of each element based on an evaluation result obtained by evaluating the detection results of each element using the detection results of a plurality of elements in the surrounding area of ​​the load distribution sensor.

[0009] An information processing method according to one aspect of the present disclosure includes a process in which a computer acquires detection results from each element of a load distribution sensor having multiple elements arranged in a matrix to detect the load received from the sole of a user's foot when the user's foot is placed on the sensor, and a process in which the detection results of each element are evaluated using the detection results of multiple elements in the surrounding area of ​​the load distribution sensor to determine the degree of deterioration of each element based on an evaluation result.

[0010] A program according to one aspect of the present disclosure causes a computer to execute a process of acquiring detection results from each element of a load distribution sensor having multiple elements arranged in a matrix that detects the load received from the sole of a user's foot when the user's foot is placed on the sensor, and a process of determining the degree of deterioration of each element based on an evaluation result obtained by evaluating the detection results of each element using the detection results of multiple elements in the surrounding area of ​​the load distribution sensor.

[0011] A load distribution measuring device according to one aspect of the present disclosure comprises a load distribution sensor having a plurality of elements arranged in a matrix that detects the load received from the sole of a user's foot when the user's foot is placed on the sensor, and an information processing device that determines the degree of deterioration of each element of the load distribution sensor, the information processing device comprising an acquisition unit that acquires detection results from each element of the load distribution sensor, and a determination processing unit that determines the degree of deterioration of each element based on an evaluation result obtained by evaluating the detection results of each element using the detection results of a plurality of elements in the surrounding area of ​​the load distribution sensor. Effect of the Invention

[0012] According to the present invention, it is possible to measure the distribution of the deterioration degree of a load distribution sensor by a simple method. [Brief description of the drawings]

[0013] [Figure 1] FIG. 1 is a perspective view showing a configuration example of a walking training device. [Diagram 2] FIG. 1 is a diagram illustrating a configuration of an information processing device according to an embodiment. [Diagram 3] FIG. 11 is a diagram showing the detection results of each element. [Figure 4] FIG. 11 is a diagram showing the detection results of each element. [Diagram 5] FIG. 11 is a diagram showing the maximum value of the detection result of each element obtained in a predetermined period. [Figure 6] FIG. 11 is a diagram showing the maximum value of the detection result of each element obtained in a predetermined period. [Figure 7] FIG. 13 is a diagram showing normalized maximum values ​​of detection results of each element. [Figure 8] FIG. 13 is a diagram showing normalized maximum values ​​of detection results of each element. [Figure 9] FIG. 13 is a diagram illustrating an example of a deterioration degree distribution map. [Figure 10] 11 is a diagram comparing the detection results of a load distribution sensor and a sole load sensor. FIG. [Figure 11] 13 is a diagram illustrating a comparison between a corrected value of the detection result of the load distribution sensor and the detection result of the sole load sensor. FIG. [Figure 12] 1 is a flowchart illustrating an information processing method according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. For clarity of explanation, the following description and drawings are omitted and simplified as appropriate. In addition, in each drawing, the same elements are given the same reference numerals, and duplicate explanations are omitted as necessary.

[0015] 1 is a perspective view showing an example of the configuration of a walking training device 1. The walking training device 1 is an example of a rehabilitation support device that supports the rehabilitation of a trainee, and in particular supports walking training. The walking training device 1 mainly comprises a main body 2, a control device 5, a treadmill 3, a load distribution sensor 4, the control device 5, a camera unit 6, a suspension load-relieving device 7, a walking assistance device 8, a training monitor 91, and a management monitor 92. The main body 2 is a support structure for the walking training device 1.

[0016] The treadmill 3 is a device that encourages a trainee to walk. The treadmill 3 includes a ring-shaped belt 31, as well as a pulley and a motor (not shown). The motor rotates the pulley, causing the ring-shaped belt 31 to move in a circular motion. A trainee undergoing walking training gets on the belt 31 and walks in accordance with the movement of the belt 31.

[0017] A load distribution sensor 4 is installed inside the ring-shaped belt so as not to move in conjunction with the belt. The load distribution sensor 4 is placed under the belt 31 that supports the soles of the trainee's feet. The load distribution sensor 4 has elements that are multiple pressure detection points. The load distribution sensor 4 is, for example, a load distribution sensor sheet in which multiple elements are arranged in a matrix. The load distribution sensor 4 outputs the output value (detection result) of each element to the control device 5.

[0018] The control device 5 is a device that performs overall control of the walking training device 1. The control device 5 can calculate the magnitude and distribution of the surface pressure (load) received by the soles of the trainee's feet, using the output values ​​from each element of the load distribution sensor 4. The control device 5 controls various sensors and motors included in the walking training device 1, based on the detection results of the load distribution sensor 4.

[0019] For example, the control device 5 can determine the walking state of the trainee based on information about the load distribution on the sole area of ​​the trainee measured by the load distribution sensor 4, and rotate a pulley using a motor (not shown) according to the walking state, thereby circulating the ring-shaped belt. The control device 5 also includes an information processing device 10 that measures the distribution of the deterioration degree of the load distribution sensor. The configuration of the control device 5 will be described in detail later.

[0020] The camera unit 6 includes an image sensor for capturing an image of the trainee. The camera unit 6 is installed in a position where it can capture an image of the entire body of the trainee who is using the walking training device 1. From the image captured by the camera unit 6, it is possible to identify from which sole of the trainee's right or left foot the load detected by the load distribution sensor 4 is being received.

[0021] The suspension support device 7 is a support device for supporting the trainee from above via a connecting device. The connecting device includes an attachment and a belt. The attachment is attached to the trainee's body part, such as the waist. One end of the belt is connected to the attachment and the other end is connected to the suspension support device 7. The suspension support device 7 supports the trainee from above via the belt and attachment connected in this way.

[0022] The walking assist device 8 is a device that is attached to the legs of a trainee and assists the trainee in walking. For example, the walking assist device 8 reduces the load of extension and flexion on the trainee's knee joint. The walking assist device 8 transmits data obtained by walking training to the control device 5 and drives the joints according to instructions from the control device 5.

[0023] The walking assist device 8 has a bottom 81 on which the trainee's feet are placed. A load measuring device (not shown) may be provided on the bottom of the walking assist device 8. The load measuring device measures the load applied to the walking training device 1 by a trainee wearing the walking assist device 8 while using the walking training device 1. The load measuring device is, for example, a sole load sensor that detects a load applied vertically to the bottom 81.

[0024] The training monitor 91 is a display device such as a liquid crystal panel. The training monitor 91 is disposed so that the trainee can see it while walking on the belt 31 of the treadmill 3. For example, information about the training to be presented to the trainee is displayed on the training monitor 91.

[0025] The management monitor 92 is a display and input device for monitoring and operation by training staff who assist the trainee in training. The management monitor 92 is, for example, a touch panel in which a display device and an input device are integrated. Various menu items and various parameter values ​​related to the training settings are displayed on the management monitor 92. In the following, either the training monitor 91 or the management monitor 92, or both, will be referred to as the display device 9.

[0026] Fig. 2 is a diagram for explaining the configuration of the information processing device 10 according to the embodiment. Fig. 2 shows functional blocks for realizing each function of the walking training device 1. The walking training device 1 includes a treadmill driving unit 32 in addition to the load distribution sensor 4, control device 5, and display device 9 described above. The control device 5 includes an information processing device 10, a load calculation unit 51, a system control unit 52, and a display processing unit 53. These components are connected to each other.

[0027] The load calculation unit 51 acquires the detection result from the load distribution sensor 4, and calculates information regarding the load distribution on the sole region of the trainee based on the detection result. The load calculation unit 51 supplies the measured load distribution related information on the sole region to the system control unit 52. The system control unit 52 controls various driving units based on the load distribution related information on the sole region. For example, the system control unit 52 is connected to the treadmill driving unit 32 by wire or wirelessly. The system control unit 52 transmits a driving signal to the treadmill driving unit 32.

[0028] The treadmill driving unit 32 rotates the belt 31 of the treadmill 3 based on the driving signal. The system control unit 52 can also adjust the rotation speed of the belt 31 according to the walking speed set by the training staff. Although not shown here, the system control unit 52 can generate driving signals for driving not only the treadmill 3 but also the suspension load-relieving device 7, the walking assistance device 8, etc.

[0029] The display processing unit 53 receives display signals from the load calculation unit 51, the system control unit 52, and the information processing device 10, generates a display image, and displays it on the display device 9. For example, the display processing unit 53 can generate, in accordance with the display signal, an image of the trainee during training captured by the camera unit 6, or an image showing the progress of the training. The display processing unit 53 also generates an image showing the load distribution on the sole area of ​​the trainee, and a deterioration degree distribution map showing the deterioration degree of the load distribution sensor 4 described later.

[0030] The information processing device 10 has a function of determining the degree of deterioration of each element of the load distribution sensor 4 from the detection result when a person walks on the load distribution sensor 4. The information processing device 10 includes an acquisition unit 11, a normalization processing unit 12, a determination processing unit 13, a map creation unit 14, and a correction processing unit 15. When determining the degree of deterioration of the load distribution sensor 4, a person walking on the treadmill 3 is defined as a "user."

[0031] The acquisition unit 11 acquires detection results from each element of the load distribution sensor 4, which has a plurality of elements arranged in a matrix and detects the load received from the sole of the user when the user places his / her foot on the load distribution sensor 4. For example, a training staff member or a trainee before and after training walks evenly over the entire detection surface while changing his / her walking position on the load distribution sensor 4, and the detection results are output from each element of the load distribution sensor 4. That is, the detection results include information on the load values ​​corresponding to the elements at different positions. For example, a user can walk on the treadmill 3 at a speed of 3 km / h for 180 seconds (3 minutes) while evenly stepping on the entire detection surface of the load distribution sensor 4.

[0032] The deterioration degree of the load distribution sensor 4 is judged periodically at a predetermined frequency, for example, after the walking training device 1 is installed and operated for a predetermined period of time. It is generally known that after the walking training device 1 starts to be operated, the elements start to deteriorate locally around the center of the load distribution sensor 4 where the trainee walks. The deteriorated area gradually expands over time, and the deterioration of the elements progresses rapidly after about one year has passed. For this reason, for example, when one year has passed since the start of operation, the judgment can be performed every month. The operation period of the load distribution sensor 4 and the frequency of judgment can be changed as appropriate.

[0033] Figures 3 and 4 are diagrams showing the detection results of each element. Figure 3 shows a plurality of elements arranged in a matrix, color-coded for each predetermined value range according to their output values. In Figure 3, light-colored parts are non-degraded parts, and dark-colored parts are degraded parts. As shown in Figure 3, element A is a non-degraded part, and element B is a degraded part.

[0034] Fig. 4 shows the output values ​​of elements A and B in Fig. 3 when a user walks on the load distribution sensor 4 for three minutes. In Fig. 4, the horizontal axis indicates time, and the vertical axis indicates the magnitude of the output value (load [N]). For the sake of explanation, the output values ​​of elements A and B are displayed vertically side by side in Fig. 4.

[0035] In this example, the output value of each element is set to 0 when no load is applied, and becomes negative as the load is applied. The detection result of each element is, for example, the maximum value of the load detected when the user walks on the load distribution sensor for a predetermined period of time. As shown in FIG. 4, the output value of both elements A and B becomes large when the user's foot is firmly on the element, and becomes small when the foot is grazed on the element. For example, an element stepped on by the heel of the user has a larger output value than an element stepped on by the arch or toe. However, regardless of whether the user steps on the element firmly or not, the output value of element B, which is the deteriorated part, is generally smaller than the output value of element A, which is the non-deteriorated part. As shown in FIG. 4, when the user walks for three minutes, the maximum output value of element A is LAmax, and the maximum output value of element B is LBmax.

[0036] 5 and 6 are diagrams showing the maximum value of the detection result of each element obtained in a specified period. In FIG. 5, a plurality of elements arranged in a matrix are color-coded for each specified value range according to their maximum value. In FIG. 5, light-colored parts are non-degraded parts, and dark-colored parts are degraded parts. FIG. 6 is a plot of the maximum value of the detection result of each element obtained in a specified period on xyz coordinates. In FIG. 6, the xy axis shows the coordinates of each element, and the z axis shows the maximum value of the detection result of each element.

[0037] A trainee usually performs walking training near the center of the load distribution sensor 4, and deterioration of the elements is more noticeable near the center of the load distribution sensor 4. The area near the center of the load distribution sensor 4 is defined as the inner region. The area surrounding the center of the load distribution sensor 4 where deterioration of the elements is unlikely to occur is defined as the peripheral region. The area outside the peripheral region is defined as the outer region. As shown in Figs. 5 and 6, the maximum value of the inner region is smaller than the maximum value of the peripheral region. Also, since it is difficult to step on the outer region, the output value from each element in the outer region is smaller than that of other regions. In the embodiment, the deterioration degree of the elements in the peripheral region of the load distribution sensor 4 is set to 0, and the output value of the other elements is compared with the output value of the elements in the peripheral region to determine the deterioration degree of each element.

[0038] The acquisition unit 11 supplies the acquired detection results to the normalization processing unit 12. The normalization processing unit 12 normalizes the detection result of each element using the detection results of multiple elements in the surrounding area of ​​the load distribution sensor. Specifically, the normalization processing unit 12 sets the average value of the detection results of the multiple elements in the surrounding area to 1, and normalizes the detection result of each element between 0 and 1.

[0039] As described above, if a person does not step properly on the load distribution sensor 4 in the outer region, the output value from each element in the outer region will be smaller than in other regions, so the normalization processing unit 12 corrects the normalized value of the detection result of each element in the outer region to 1. In addition, the normalization processing unit 12 can extract elements whose normalized value of the detection result of each element is equal to or greater than a predetermined value, and correct the normalized value of the detection result of the extracted elements to 1. For example, the normalization processing unit 12 can extract elements whose normalized value is equal to or greater than 0.9, and uniformly set these values ​​to 1. That is, only elements that have deteriorated by 10% or more are extracted. This makes it possible to filter noise and easily identify deteriorated elements.

[0040] 7 and 8 are diagrams showing normalized values ​​of the maximum value of the detection result of each element. In FIG. 7 and FIG. 8, the above-mentioned normalized values ​​are assumed to have been corrected. FIG. 7 shows a plurality of elements arranged in a matrix, color-coded for each predetermined value range according to the normalized value. In FIG. 7, the area inside the inner rectangle shown by the dashed line is the inner region, the area surrounded by the inner rectangle and the outer rectangle is the peripheral region, and the area outside the outer rectangle is the outer region. In FIG. 7, the light-colored areas are non-degraded areas, and the dark-colored areas are degraded areas. FIG. 8 shows the maximum value of the detection result of each element obtained in a predetermined period plotted on the xyz coordinates. In FIG. 6, the xy axis shows the coordinates of each element, and the z axis shows the normalized value of the maximum value of the detection result of each element.

[0041] The determination processing unit 13 determines the deterioration level of each element based on an evaluation result obtained by evaluating the detection result of each element using the detection results of a plurality of elements in the peripheral area of ​​the load distribution sensor 4. Here, the determination processing unit 13 determines the deterioration level of the element based on a normalized detection result as an example of the evaluation result. For example, the determination processing unit 13 can determine the deterioration level of each element of the load distribution sensor 4 by comparing the normalized detection result with a plurality of preset threshold values. In addition, the map creation unit 14 creates a deterioration level distribution map by color-coding each element according to its deterioration level based on the normalized value of the detection result of each element. FIG. 9 is a diagram showing an example of a deterioration level distribution map.

[0042] FIG. 9 shows a plurality of elements arranged in a matrix, color-coded according to the degree of deterioration. In FIG. 9, light-colored parts indicate elements with a degree of deterioration of 10% or less, and dark-colored parts indicate elements with a deteriorated portion of 80% or more. In this way, according to the embodiment, it is possible to identify elements that have deteriorated to a certain degree or more among the plurality of elements of the load distribution sensor 4. As a result, if there is an element that has deteriorated to a certain degree or more, measures such as replacing the sensor can be implemented.

[0043] It is also possible to correct the detection result of each element when the degree of deterioration is smaller than a predetermined value, that is, when the deterioration is not so advanced that the load distribution sensor 4 needs to be replaced. For example, the correction processing unit 15 can correct the detection result of each element by multiplying the reciprocal of the normalized value of the detection result of each element as a correction gain. FIG. 10 is a diagram comparing the detection result of the load distribution sensor 4 before deterioration with the detection result of the sole load sensor. FIG. 11 is a diagram comparing the detection result of the load distribution sensor 4 after deterioration with the corrected value and the detection result of the sole load sensor.

[0044] 10, the output value of the load distribution sensor 4 before deterioration is approximately equal to the output value of the sole load sensor. The output value of the load distribution sensor 4 after deterioration is lower than the output value of the sole load sensor. By correcting the output value of the load distribution sensor 4 after deterioration using the above-mentioned correction gain, the corrected value can be made closer to the output value of the sole load sensor.

[0045] In this way, even if the output value is small due to degradation of the element, it is possible to obtain an output value that is almost equal to that when there is no degradation. This makes it possible to extend the replacement cycle of the load distribution sensor 4 and to extend the life of the load distribution sensor 4.

[0046] The storage unit 16 is a storage medium that stores information required for processing by the information processing device 10 and information related to the generated degradation distribution map. The information processing device 10 includes a processor as a component not shown. The storage unit 16 stores a program that causes a computer to execute each of the above-mentioned processes. The processor loads the program from the storage device into the memory and executes the program. In this way, the processor realizes the functions of the acquisition unit 11, the normalization processing unit 12, the determination processing unit 13, the map creation unit 14, and the correction processing unit 15.

[0047] Each of the components of the information processing device 10 may be realized by dedicated hardware. Also, some or all of the components of each device may be realized by a general-purpose or dedicated circuit, processor, or a combination of these. These may be configured by a single chip, or may be configured by multiple chips connected via a bus. Some or all of the components of each device may be realized by a combination of the above-mentioned circuits, etc., and a program. Also, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field-Programmable Gate Array), a quantum processor (quantum computer control chip), etc. may be used as a processor.

[0048] Furthermore, when some or all of the components of the information processing device 10 are realized by a plurality of devices, circuits, etc., the plurality of devices, circuits, etc. may be centrally arranged or distributed. The devices, circuits, etc. that realize the above-mentioned components may be realized in a form in which each is connected via a communication network, such as a client-server system or a cloud computing system. Furthermore, the functions of the information processing device 10 may be provided in a SaaS (Software as a Service) format.

[0049] Next, the process performed by the information processing device 10 will be described with reference to Fig. 12. Fig. 12 is a flowchart illustrating the information processing method according to the embodiment.

[0050] First, the information processing device 10 acquires detection results from each element of the load distribution sensor 4, which has a plurality of elements arranged in a matrix and detects the load received from the sole of the user when the user places his / her foot on the sensor (S1). As described above, the detection results from each element are generated when the user steps evenly over the entire detection surface of the load distribution sensor 4.

[0051] Next, the information processing device 10 normalizes the detection result of each element using the detection results of multiple elements in the surrounding area of ​​the load distribution sensor (S2).Then, the information processing device 10 determines the deterioration degree of the element based on the normalized detection result (S13).

[0052] Thus, according to the embodiment, the output value from each element can be easily obtained by the user simply walking on the treadmill 3 on the underside of which the load distribution sensor 4 is provided, without using any special measuring tool or the like. Moreover, the output value from each element can be acquired in a short time of about 3 minutes. Moreover, since the output value from each element by one user is relatively evaluated, even if other users with different weights or the like similarly evaluate the deterioration level, approximately the same evaluation result can be obtained. Therefore, the evaluation of the deterioration level may be performed by a different user each time.

[0053] In the above examples, the program includes instructions (or software code) that, when loaded into a computer, causes the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes RAM, read-only memory (ROM), flash memory, SSD or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0054] The present invention is not limited to the above embodiment, and can be modified as appropriate without departing from the spirit of the present invention. In the above example, the determination processing unit 13 determines the deterioration degree of each element based on the "normalized detection result" as an example of the evaluation result, but is not limited to this example. For example, the determination processing unit 13 can use the result of comparing the absolute value of the detection result of each element with the absolute value of the detection results of multiple elements in the peripheral area of ​​the load distribution sensor 4 as the evaluation result. [Explanation of symbols]

[0055] 1. Walking training device 2 Main unit 3. Treadmill 4 Load distribution sensor 5. Control device 6 Camera unit 7 Suspension relief device 8. Walking aids 9 Display device 91 Training Monitor 92 Management Monitor 10. Information processing device 11 Acquisition Department 12 Normalization Processing Section 13 Judgment processing unit 14 Map Creation Department 15 Correction processing section 16 Memory section 31 Belt 32 Treadmill drive unit 51 Load calculation section 52 System control section 53 Display processing section 81 Bottom

Claims

1. an acquisition unit that acquires detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix to detect a load applied to the sole of the user when the user places the foot on the sensor; a determination processing unit that determines a deterioration level of each element based on an evaluation result obtained by evaluating the detection result of each element using the detection results of a plurality of elements in a peripheral area of ​​the load distribution sensor; Equipped with Information processing device.

2. A normalization processing unit that normalizes the detection result of each element using the detection results of a plurality of elements in a peripheral area of ​​the load distribution sensor, the determination processing unit determines a deterioration degree of each element based on the detection result normalized as the evaluation result. The information processing device according to claim 1 .

3. The normalization processing unit sets an average value of the detection results of the multiple elements in the peripheral region to 1, The detection result of each element is normalized between 0 and 1. The information processing device according to claim 2 .

4. The normalization processing unit corrects a normalized value of a detection result of each element in an area outside the peripheral area to 1. The information processing device according to claim 3 .

5. The normalization processing unit extracts elements whose normalized values ​​of the detection results of the respective elements are equal to or greater than a predetermined value, and corrects the normalized values ​​of the detection results of the extracted elements to 1. The information processing device according to claim 3 .

6. A correction processing unit is further provided that corrects the detection result of each element using the reciprocal of a normalized value of the detection result of each element as a correction gain. The information processing device according to claim 3 .

7. A map creation unit is further provided which creates a degradation level distribution map by color-coding each element according to the degradation level based on the evaluation result of each element. The information processing device according to claim 1 .

8. The detection result of each element is a maximum value of the load detected when the user walks on the load distribution sensor for a predetermined period of time. The information processing device according to claim 1 .

9. The computer A process of acquiring detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix, the load distribution sensor detecting a load applied to the sole of the user when the user places the foot on the sensor; A process of evaluating the detection results of each element using the detection results of a plurality of elements in the peripheral area of ​​the load distribution sensor, and determining a deterioration level of each element based on the evaluation results; Execute Information processing methods.

10. A process of acquiring detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix, the load distribution sensor detecting a load applied to the sole of the user when the user places the foot on the sensor; A process of evaluating the detection results of each element using the detection results of a plurality of elements in the peripheral area of ​​the load distribution sensor, and determining a deterioration level of each element based on the evaluation results; to cause a computer to execute program.

11. a load distribution sensor having a plurality of elements arranged in a matrix for detecting a load applied to the sole of a user when the user places the foot thereon; an information processing device for determining a degree of deterioration of each element of the load distribution sensor, The information processing device includes: an acquisition unit that acquires detection results from each element of the load distribution sensor; a determination processing unit that determines a deterioration level of each element based on an evaluation result obtained by evaluating the detection result of each element using the detection results of a plurality of elements in a peripheral area of ​​the load distribution sensor; Equipped with Load distribution measuring device.

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