Information processing device, information processing method, program product, and load distribution measurement device

Abstract

The present disclosure provides an information processing device, an information processing method, a program product, and a load distribution measuring device that measure the distribution of the degradation degree of a load distribution sensor by a simple method. An information processing device according to an embodiment is provided with: an acquisition unit that acquires a detection result from each element of a load distribution sensor having a plurality of elements arranged in a matrix, each element detecting a load received from a foot sole of a user when the foot of the user is placed thereon; and a determination processing unit that determines the degree of deterioration of each component on the basis of an evaluation result obtained by evaluating the detection result of each component using the detection results of the plurality of components in the peripheral region of the load distribution sensor.

Description

Technical Field

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

[0002] Japanese Patent Application Publication No. 2009-63526 discloses a load measurement system having a detachable foot pressure distribution sensor unit and a load detection sensor unit. In the system described in Patent Document 1, an error between the weight data of a subject calculated based on each foot pressure data measured in the foot pressure distribution detection sensor unit and the weight data of the subject calculated based on each load data measured in the load detection sensor unit is calculated, and based on the calculated error, the deterioration state of the foot pressure distribution detection sensor unit is evaluated. Summary of the invention

[0003] A walking training system for performing walking training for rehabilitation purposes has been developed. In the walking training system, the load distribution of the user is measured by a load distribution sensor provided on a walking machine. The load distribution sensor is a load distribution sensor sheet having a plurality of elements as pressure detection points. The plurality of elements are arranged in a matrix in parallel with a walking surface supporting the sole of a patient in a standing state.

[0004] Such a load distribution sensor may cause errors in the sensor output value due to degradation over time, so appropriate measures such as repair or replacement are required. Therefore, a technology for measuring the degradation degree of each element of the load distribution sensor is sought. It is also conceivable that the degradation degree of such a load distribution sensor can be measured by, for example, machine learning.

[0005] Such load distribution sensors have the following problems. That is, since they generally have a wide detection surface, it takes a lot of time and effort to place weights of predetermined weights on the load distribution sensor in order from the end and check according to the change in load value. In addition, in the measurement of large sheet-shaped load distribution sensors, large measuring tools such as rollers and air bags are sometimes required.

[0006] The present invention has been made in view of the above problems, and an object of the present invention is to provide an information processing device, an information processing method, a program product, and a load distribution measuring device capable of measuring the distribution of the degree of degradation of a load distribution sensor by a simple method.

[0007] An information processing device involved in one embodiment of the present invention comprises: an acquisition unit, which acquires detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix, wherein each element detects the load borne by the sole of the user's foot when the user's foot is placed thereon; and a judgment processing unit, which judges the degree of degradation of each element based on an evaluation result 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.

[0008] An information processing method involved in one embodiment of the present invention enables a computer to perform the following processing, namely: obtaining detection results from each element of a load distribution sensor having multiple elements arranged in a matrix, wherein each element detects the load borne by the sole of the user's foot when the user's foot is placed thereon; and judging the degree of degradation of each element based on an evaluation result of evaluating the detection results of each element based on the detection results of multiple elements in the peripheral area of ​​the load distribution sensor.

[0009] A program product involved in one embodiment of the present invention enables a computer to perform the following processing, namely: obtaining detection results from each element of a load distribution sensor having multiple elements arranged in a matrix, wherein each element detects the load borne by the sole of the user's foot when the user's foot is placed thereon; and judging the degree of degradation of each element based on an evaluation result of evaluating the detection results of each element based on the detection results of multiple elements in the peripheral area of ​​the load distribution sensor.

[0010] A load distribution measuring device according to one embodiment of the present disclosure comprises: a load distribution sensor having a plurality of elements arranged in a matrix, wherein each element detects a load borne by the sole of a user's foot when the user's foot is placed thereon; and an information processing device for judging the degree of degradation of each element of the load distribution sensor, wherein the information processing device comprises an acquisition unit and a judgment processing unit, wherein the acquisition unit respectively acquires detection results from each element of the load distribution sensor, and the judgment processing unit judges the degree of degradation 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 a peripheral area of ​​the load distribution sensor.

[0011] According to the present invention, the distribution of the degree of degradation of the load distribution sensor can be measured by a simple method. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and other objects, features and advantages of the present disclosure will be more fully understood through the following detailed description and illustrations of the accompanying drawings, which are provided by way of example only and thus should not be construed as limiting the present disclosure.

[0013] Figure 1 It is a perspective view showing a structural example of a walking training device.

[0014] Figure 2 A diagram for explaining the configuration of an information processing device according to an embodiment.

[0015] Figure 3 It is a diagram showing the test results of each component.

[0016] Figure 4 It is a diagram showing the test results of each component.

[0017] Figure 5 It is a graph showing the maximum value of the detection results of each element obtained in a predetermined period.

[0018] Figure 6 It is a graph showing the maximum value of the detection results of each element obtained in a predetermined period.

[0019] Figure 7 It is a graph showing the normalized value of the maximum value of the detection result of each element.

[0020] Figure 8 It is a graph showing the normalized value of the maximum value of the detection result of each element.

[0021] Fig. 9 A diagram showing an example of a degradation degree distribution map.

[0022] Fig.10 The figure compares the detection results of the load distribution sensor and the detection results of the sole load sensor.

[0023] Fig.11 This is a diagram comparing the values ​​obtained by correcting the detection results of the load distribution sensor and the detection results of the sole load sensor.

[0024] Fig.12 This is a flowchart for explaining the information processing method according to the embodiment. DETAILED DESCRIPTION

[0025] Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described. For the sake of clarity of the description, the following description and the accompanying drawings are appropriately omitted and simplified. In addition, in each of the accompanying drawings, the same symbols are used for the same elements, and repeated descriptions are omitted as needed.

[0026] Figure 11 is a perspective view showing a structural example of a walking training device 1. The walking training device 1 is an example of a rehabilitation training auxiliary device that assists the rehabilitation training of the trainee, and in particular assists walking training. The walking training device 1 includes a main body 2, a walking machine 3, a load distribution sensor 4, a control device 5, a camera unit 6, a suspended load-free device 7, a walking auxiliary device 8, a training monitor 91, and a management monitor 92 as main structures. The main body 2 is a supporting structure of the walking training device 1.

[0027] The walking machine 3 is a device for promoting the walking of the trainee. The walking machine 3 is provided with a pulley and a motor (not shown) in addition to the endless belt 31. The pulley is rotated by the motor, so that the endless belt 31 performs a circular motion. The trainee who performs walking training stands on the belt 31 and performs walking motions as the belt 31 moves.

[0028] A load distribution sensor 4 is provided inside the endless belt in a manner not linked to the belt. The load distribution sensor 4 is arranged on the lower side of the belt 31 supporting the sole of the trainee's foot. The load distribution sensor 4 has a plurality of elements as pressure detection points. The load distribution sensor 4 is, for example, a load distribution sensor sheet in which a plurality of 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.

[0029] The control device 5 is a device for overall control of the walking training device 1. The control device 5 can calculate the size and distribution of the surface contact pressure (load) received by the sole of the trainee using the output values ​​of each element from 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.

[0030] For example, the control device 5 can judge the walking state of the trainee by using the information related to the load distribution of the sole area of ​​the trainee measured by the load distribution sensor 4, and rotate the pulley using a motor not shown according to the walking state, so as to make the endless belt move in a circular motion. In addition, the control device 5 includes an information processing device 10 that measures the distribution of the degradation degree of the load distribution sensor. The structure of the control device 5 will be described in detail below.

[0031] The camera unit 6 includes an image sensor for photographing the trainee. The camera unit 6 is provided at a position where the whole body of the trainee who is using the walking training device 1 can be photographed. Based on the image photographed by the camera unit 6, it can be determined whether the load detected by the load distribution sensor 4 is borne by the sole of the right foot or the left foot of the trainee.

[0032] The suspension load-free device 7 is a support device for supporting the trainee from above via a connecting device. The connecting device includes a harness and a belt. The harness is worn on the trainee's waist or other body parts. One end of the belt is connected to the harness, and the other end is connected to the suspension load-free device 7. The suspension load-free device 7 supports the trainee from above via the belt and harness connected in this way.

[0033] The walking assistance device 8 is a device worn on the legs and feet of the trainee to assist the trainee in walking. The walking assistance device 8, for example, reduces the load of extension and bending at the trainee's knee joint. The walking assistance device 8 sends the data obtained through walking training to the control device 5, or drives the joint part according to the instruction from the control device 5.

[0034] The walking assistance device 8 includes a bottom portion 81 on which the trainee's foot is placed. In addition, a load measuring device (not shown) may be provided at the bottom portion of the walking assistance device 8. The load measuring device measures the load applied to the walking training device 1 by the trainee wearing the walking assistance device 8 while using the walking training device 1. The load measuring device is, for example, a sole load sensor that detects the load applied to the bottom portion 81 in the vertical direction.

[0035] The training monitor 91 is a display device such as a liquid crystal panel. The training monitor 91 is arranged so that the trainee can visually check while walking on the belt 31 of the treadmill 3. The training monitor 91 displays, for example, information related to the training to be presented to the trainee.

[0036] The management monitor 92 is a display input device for monitoring and operation by the training staff who assists 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 setting of the training are displayed on the management monitor 92. In addition, hereinafter, either or both of the training monitor 91 and the management monitor 92 are described as the display device 9.

[0037] Figure 2 FIG. 1 is a diagram for explaining the structure of the information processing device 10 according to the embodiment. Figure 2 , a functional block for realizing each function of the walking training device 1 is shown. The walking training device 1 includes a walking machine driving unit 32 in addition to the load distribution sensor 4, the control device 5, and the 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.

[0038] The load calculation unit 51 obtains the detection result from the load distribution sensor 4, and calculates the information related to the load distribution of the sole area of ​​the trainee based on the detection result. The load calculation unit 51 supplies the measured load distribution related information of the sole area to the system control unit 52. The system control unit 52 controls various drive units based on the load distribution related information of the sole area. For example, the system control unit 52 is connected to the walking machine drive unit 32 by wire or wirelessly. The system control unit 52 sends a drive signal to the walking machine drive unit 32.

[0039] The walking machine driving unit 32 rotates the belt 31 of the walking machine 3 based on the driving signal. In addition, the system control unit 52 can adjust the rotation speed of the belt 31 according to the walking speed set by the training staff. In addition, although not shown here, the system control unit 52 can generate not only a driving signal for driving the walking machine 3, but also a driving signal for driving the suspension load-free device 7, the walking assist device 8, etc.

[0040] 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 an image of the trainee in training captured by the camera unit 6 and an image showing the progress of the training based on the display signal. In addition, the display processing unit 53 generates an image showing the load distribution of the sole area of ​​the trainee and a degradation distribution map showing the degradation degree of the load distribution sensor 4 described later.

[0041] The information processing device 10 has a function of judging the degree of degradation of each element of the load distribution sensor 4 based on 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 judgment processing unit 13, a mapping generation unit 14, and a correction processing unit 15. When judging the degree of degradation of the load distribution sensor 4, the person walking on the treadmill 3 is set as a "user".

[0042] The acquisition unit 11 acquires detection results from each element of the load distribution sensor 4 having a plurality of elements arranged in a matrix, wherein each element detects the load borne by the sole of the user's foot when the user's foot is placed thereon. For example, by changing the walking position on the load distribution sensor 4 by a training staff or a trainer before and after training, and walking across the entire detection surface, the detection results are output from each element of the load distribution sensor 4. That is, the detection results contain information on the load values ​​corresponding to each element at different positions. For example, the user can walk on the treadmill 3 in 180 seconds (3 minutes) at a speed of 3 km / h to fully step over the entire detection surface of the load distribution sensor 4.

[0043] The judgment of the deterioration degree of the load distribution sensor 4 can be performed regularly at a predetermined frequency after the gait training device 1 is set and after a predetermined period of use. It is known that, usually after the gait training device 1 is started to be used, the element will start to locally deteriorate around the center of the load distribution sensor 4 where the trainer walks. In addition, as time goes by, the deterioration area will gradually expand, and after about a year, the element will deteriorate rapidly. Therefore, for example, it is possible to make a judgment every month after one year of starting use. In addition, the use period and judgment frequency of the load distribution sensor 4 can be appropriately changed.

[0044] Figure 3 , Figure 4 It is a diagram showing the test results of each component. Figure 3 This is a diagram that differentiates the colors of multiple elements arranged in a matrix according to their output values ​​within a predetermined range of values. Figure 3 In , the light-colored part is the non-degraded part, and the dark-colored part is the degraded part. Figure 3 As shown, element A is a non-degraded portion, and element B is a degraded portion.

[0045] Figure 4 The output of the load distribution sensor 4 when the user walks on it for 3 minutes is shown in FIG. Figure 3 The output values ​​of components A and B. Figure 4 In the example, the horizontal axis represents time and the vertical axis represents the magnitude of the output value (load [N]). Figure 4 In the figure, for convenience of explanation, the output value of component A and the output value of component B are displayed in a vertical arrangement.

[0046] In this example, the output value of each element is set to 0 when no load is applied, and becomes a negative value when a 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 over a predetermined period of time. Figure 4 As shown in the figure, both element A and element B have a larger absolute value of output value when the user's foot steps firmly, and a smaller absolute value of output value when the foot brushes past. For example, the absolute value of the output value of the element stepped on by the user's heel is larger than that of the element stepped on by the sole or toe. However, regardless of whether the user steps firmly or not, the absolute value of the output value of element B, which is a degraded part, will be smaller than the absolute value of the output value of element A, which is a non-degraded part. Figure 4 As shown, when the user walks for 3 minutes, the maximum absolute value of the output value of element A is LAmax, and the maximum absolute value of the output value of element B is LBmax.

[0047] Figure 5 , Figure 6 It is a graph showing the maximum value of the detection results of each element obtained in a predetermined period. Figure 5 This is a diagram in which a plurality of elements arranged in a matrix are color-coded according to their maximum values ​​within a predetermined range of values. Figure 5 In the figure, the light-colored part is the non-degraded part, and the dark-colored part is the degraded part. Figure 6 A graph in which the maximum value of the detection results of each element obtained during a predetermined period is plotted on the xyz coordinates. Figure 6 In FIG. 5 , the xy axis represents the coordinates of each component, and the z axis represents the maximum value of the detection result of each component.

[0048] Usually, trainees often perform walking training near the center of the load distribution sensor 4, and the degradation of the components is more significant near the center of the load distribution sensor 4. The center of the load distribution sensor 4 is defined as the inner area. In addition, the portion surrounding the center of the load distribution sensor 4 where the degradation of the components is not likely to occur is defined as the peripheral area. In addition, the area outside the peripheral area is defined as the outer area. Figure 5 , Figure 6 As shown in FIG. 1 , the maximum value of the inner area is smaller than the maximum value of the peripheral area. In addition, since the outer area is not easily stepped on, the output value of each element from the outer area is smaller than that of other areas. In the embodiment, the degradation degree of the element in the peripheral area 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 element in the peripheral area to determine the degradation degree of each element.

[0049] The acquisition unit 11 supplies the acquired multiple detection results to the normalization processing unit 12. The normalization processing unit 12 uses the detection results of the multiple elements in the surrounding area of ​​the load distribution sensor to normalize the detection results of each element. 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 results of each element between 0 and 1.

[0050] As described above, when a person does not step on the load distribution sensor 4 well in the outer area, the output value from each element in the outer area will be smaller than that in other areas, so the normalization processing unit 12 corrects the normalized value of the detection result of each element in the outer area to 1. In addition, the normalization processing unit 12 can extract elements whose normalized values ​​of the detection results of each element are above a predetermined value, and correct the normalized values ​​of the detection results of the extracted elements to 1. For example, the normalization processing unit 12 can extract elements whose normalized values ​​are above 0.9, and uniformly set these values ​​to 1. That is, only elements that have deteriorated by more than 10% are extracted. In this way, noise can be filtered, so that degraded elements can be easily determined.

[0051] Figure 7 , Figure 8 is a graph showing the normalized maximum value of the detection results of each element. Figure 7 , Figure 8 In the figure, the correction is performed on the above-mentioned normalized value. Figure 7 This is a diagram showing that a plurality of elements arranged in a matrix are color-coded according to a predetermined range of values ​​based on normalized values. Figure 7 In the figure, the area inside the inner rectangle shown by the dotted line is the inner area, the area surrounded by the inner rectangle and the outer rectangle is the peripheral area, and the area outside the outer rectangle is the outer area. Figure 7 In the figure, the light-colored part is the non-degraded part, and the dark-colored part is the degraded part. Figure 8 A graph in which the maximum value of the detection results of each element obtained during a predetermined period is plotted on the xyz coordinates. Figure 8 In FIG. 1 , the xy axis represents the coordinates of each component, and the z axis represents the normalized maximum value of the detection result of each component.

[0052] The judgment processing unit 13 judges the degradation degree of each component based on the evaluation result of evaluating the detection results of each component respectively using the detection results of multiple components in the surrounding area of ​​the load distribution sensor 4. Here, the judgment processing unit 13 judges the degradation degree of the component based on the normalized detection result as an example of the evaluation result. For example, the judgment processing unit 13 can judge the degradation degree of each component of the load distribution sensor 4 by comparing the normalized detection result with a plurality of preset threshold values. In addition, the map generation unit 14 distinguishes each component by color according to the degradation degree based on the value after the normalization of the detection results of each component, and generates a degradation degree distribution map. Fig. 9 A diagram showing an example of a degradation degree distribution map.

[0053] Fig. 9 This diagram shows multiple components arranged in a matrix and color-coded by degree of degradation. Fig. 9 In the figure, the light-colored part indicates a component with a degradation degree of less than 10%, and the dark-colored part indicates a component with a degradation degree of more than 80%. In this way, according to the embodiment, it is possible to identify the component that has deteriorated to a certain degree or more among the multiple components of the load distribution sensor 4. Therefore, when there is a component that has deteriorated to a certain degree or more, countermeasures such as replacement of the sensor can be implemented.

[0054] In addition, when the degree of degradation is less than a predetermined value, that is, when the degradation has not progressed to a degree that requires replacement of the load distribution sensor 4, the detection results of each element can also be corrected. For example, the correction processing unit 15 can correct the detection results of each element by multiplying the reciprocal of the value obtained by normalizing the detection results of each element as a correction gain. Fig.10 This is a diagram comparing the detection result of the load distribution sensor 4 before degradation and the detection result of the sole load sensor. Fig.11 This is a diagram comparing the detection result of the deteriorated load distribution sensor 4, the value corrected therefor, and the detection result of the sole load sensor.

[0055] Reference Fig.10 , the output value of the load distribution sensor 4 before degradation and the output value of the sole load sensor are substantially equal. The output value of the load distribution sensor 4 after degradation is lower than the output value of the sole load sensor. The output value of the load distribution sensor 4 after degradation can be corrected by using the correction gain described above, so that the corrected value is close to the output value of the sole load sensor.

[0056] Thus, even when the output value decreases due to degradation of the element, an output value substantially equal to that in the absence of degradation can be obtained. Thus, the replacement cycle of the load distribution sensor 4 can be extended, and the life of the load distribution sensor 4 can be prolonged.

[0057] The storage unit 16 is a storage medium that stores information required for the processing of the information processing device 10 and information related to the generated degradation degree distribution map. The information processing device 10 is equipped with a processor as a structure not shown in the figure. The storage unit 16 stores a program that causes the computer to execute the above-mentioned various processes. The processor reads the program from the storage device into the memory and executes the program. Thus, the processor realizes the functions of the acquisition unit 11, the normalization processing unit 12, the judgment processing unit 13, the map generation unit 14, and the correction processing unit 15.

[0058] Each structural element of the information processing device 10 can also be implemented by dedicated hardware. In addition, part or all of the structural elements of each device can also be implemented by a general or dedicated circuit (circuitry), a processor, etc. or a combination thereof. They can be composed of a single chip or a plurality of chips connected via a bus. Part or all of the structural elements of each device can also be implemented by a combination of the above-mentioned circuits, etc. and programs. In addition, as a processor, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field-Programmable Gate Array), a quantum processor (quantum computer control chip), etc. can be used.

[0059] In addition, when part or all of the various structural elements of the information processing device 10 are implemented by multiple devices, circuits, etc., the multiple devices, circuits, etc. can be configured in a centralized manner or in a decentralized manner. The devices, circuits, etc. that implement the above-mentioned various structural elements can also be implemented in a manner where a client server system, a cloud computing system, etc. are connected via a communication network. In addition, the functions of the information processing device 10 can also be provided in the form of SaaS (Software as a Service).

[0060] Next, refer to Fig.12 , the processing performed by the information processing device 10 is explained. Fig.12 This is a flowchart for explaining the information processing method according to the embodiment.

[0061] First, the information processing device 10 obtains detection results from each element of the load distribution sensor 4 having a plurality of elements arranged in a matrix, wherein each element detects the load received by the sole of the user's foot when the user's foot is placed thereon (S1). As described above, the detection results from each element are generated by the user stepping on the entire detection surface of the load distribution sensor 4 in an all-round manner.

[0062] Next, the information processing device 10 normalizes the detection results of each element using the detection results of the plurality of elements in the surrounding area of ​​the load distribution sensor (S2). Then, the information processing device 10 determines the degree of degradation of the element based on the normalized detection results (S3).

[0063] Thus, according to the embodiment, the output values ​​from each element can be easily obtained by the user walking on the walking machine 3 with the load distribution sensor 4 provided on the lower side without using special measuring tools. In addition, the output values ​​from each element can be obtained in a short time of about 3 minutes. In addition, since the output values ​​from each element are relatively evaluated by one user, even if other users with different weights etc. perform the judgment of the degradation degree in the same way, they can obtain substantially the same judgment result. Therefore, the evaluation of the degradation degree can be performed by different users each time.

[0064] In the above examples, the program includes a command group (or software code) that is used to cause the computer to perform one or more functions described in the embodiments when read by the computer. The program can be stored in a non-temporary computer-readable medium or a physical storage medium. As an example and not limitation, the computer-readable medium or physical storage medium includes RAM, ROM (read-only memory), flash memory, SSD or other memory technology, CD-ROM, digital versatile disc (digital versatile disc, DVD), Blu-ray (registered trademark) disc or other optical disc storage, magnetic card, magnetic tape, magnetic disk storage or other magnetic storage device. The program can also be sent on a temporary computer-readable medium or communication medium. As an example and not limitation, a temporary computer-readable medium or communication medium includes electrical, optical, acoustic or other forms of propagation signals.

[0065] In addition, the present invention is not limited to the above-mentioned embodiment, and can be appropriately changed within the scope of the gist. In the above-mentioned example, as an example of the evaluation result, the judgment processing unit 13 judges the degradation degree of each element based on the "normalized detection result", but it is not limited to this example. For example, the judgment processing unit 13 can also use the result of comparing the absolute value of the detection result of each element with the absolute value of the detection result of multiple elements in the surrounding area of ​​the load distribution sensor 4 as the evaluation result.

[0066] It is obvious from the disclosure thus described that the embodiments of the present disclosure can be changed in many ways. This change should not be regarded as departing from the spirit and scope of the present disclosure, and all such modifications obvious to those skilled in the art should be included within the scope of the above-mentioned embodiments.

Claims

1. An information processing device comprising: An acquisition unit acquires detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix, wherein: Each element detects the load received from the sole of the user's foot when the user's foot is placed thereon; A determination processing unit determines the degree of degradation of each element based on an evaluation result obtained by evaluating the detection results of each element using the detection results of the plurality of elements in the peripheral area of ​​the load distribution sensor.

2. The information processing device according to claim 1, wherein: A normalization processing unit is further provided, wherein the normalization processing unit uses the detection results of a plurality of elements in the peripheral area of ​​the load distribution sensor to normalize the detection results of each element. The determination processing unit determines the degree of degradation of each element based on the normalized detection result as the evaluation result.

3. The information processing device according to claim 2, wherein: The normalization processing unit sets an average value of the detection results of the plurality of elements in the peripheral area to 1, and normalizes the detection results of the respective elements between 0 and 1.

4. The information processing device according to claim 3, wherein: The normalization processing unit corrects the normalized value of the detection result of each element in the outer area of ​​the peripheral area to 1.

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

6. The information processing device according to claim 3, wherein: The device further includes a correction processing unit that corrects the detection result of each element by using the reciprocal of a value obtained by normalizing the detection result of each element as a correction gain.

7. The information processing device according to claim 1, wherein: The system further includes a map generating unit configured to generate a degradation degree distribution map by color-coding each component according to a degree of degradation based on the evaluation result of each component.

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

9. An information processing method, which causes a computer to perform the following processing, namely: The detection results are obtained from each element of a load distribution sensor having a plurality of elements arranged in a matrix, wherein: Each element detects the load received from the sole of the user's foot when the user's foot is placed thereon; The degree of degradation of each element is determined based on an evaluation result obtained by evaluating the detection results of each element using the detection results of the plurality of elements in the peripheral area of ​​the load distribution sensor.

10. A program product that causes a computer to execute the following processing, namely: The detection results are obtained from each element of a load distribution sensor having a plurality of elements arranged in a matrix, wherein: Each element detects the load received from the sole of the user's foot when the user's foot is placed thereon; The degree of degradation of each element is determined based on an evaluation result obtained by evaluating the detection results of each element using the detection results of the plurality of elements in the peripheral area of ​​the load distribution sensor.

11. A load distribution measuring device comprising: A load distribution sensor having a plurality of elements arranged in a matrix, wherein: Each element detects the load received from the sole of the user's foot when the user's foot is placed thereon; an information processing device for determining the degree of degradation of each element of the load distribution sensor, The information processing device comprises an acquisition unit and a determination processing unit. The acquisition unit acquires detection results from each element of the load distribution sensor respectively. The determination processing unit determines the degree of degradation of each element based on an evaluation result of evaluating the detection result of each element using the detection results of the plurality of elements in the peripheral area of ​​the load distribution sensor.

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