Information processing device, information processing method, program, and load distribution measuring device
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- TOYOTA JIDOSHA KK
- Filing Date
- 2023-09-22
- Publication Date
- 2026-05-15
Smart Images
Figure 0007859413000001 
Figure 0007859413000002 
Figure 0007859413000003
Abstract
Description
Technical Field
[0001] The present invention relates to an information processing apparatus, an information processing method, a program, and a load distribution measurement apparatus.
Background Art
[0002] Patent Document 1 discloses a load measurement system including a detachable plantar pressure distribution sensor unit and a load detection sensor unit. The system described in Patent Document 1 calculates an error between the subject's body weight data calculated based on each plantar pressure data measured in the plantar pressure distribution detection sensor unit and the subject's body weight data calculated based on each load data measured in the load detection sensor unit, and evaluates the deterioration state of the plantar pressure distribution detection sensor unit based on the calculated error.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] A walking training system for performing walking training on a patient for rehabilitation purposes has been developed. In the walking training system, the load distribution of a user is measured by a load distribution sensor installed on a treadmill. The load distribution sensor is a load distribution sensor sheet having a plurality of elements that are pressure detection points. The plurality of elements are arranged in a matrix parallel to the walking surface that supports the soles of a standing patient.
[0005] In such a load distribution sensor, an error occurs in the sensor output value due to aging deterioration, so appropriate measures such as repair or replacement are required. Therefore, it is required to measure the degree of deterioration of each element of the load distribution sensor. Measurement of the degree of deterioration of such a load distribution sensor is also assumed to be performed by, for example, machine learning or the like.
[0006] Because such load distribution sensors generally have a large detection surface, there is a problem in that it takes a tremendous amount of time and effort to perform inspections by placing weights of a predetermined weight sequentially from one end of the load distribution sensor and checking the change in load value. In addition, measuring large sheet-shaped load distribution sensors may require large measuring jigs such as rollers or airbags.
[0007] This invention has been made in view of the above problems, and the object of this invention is to provide an information processing device, an information processing method, a program, and a load distribution measuring device that can measure the distribution of the degree of deterioration of a load distribution sensor in a simple manner. [Means for solving the problem]
[0008] An information processing device according to one aspect 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 for detecting the load received from the soles of the user's feet when the user's feet are placed on it, and a determination processing unit that determines the degree of deterioration of each element based on evaluation results obtained by evaluating the detection results of each element using the detection results of a plurality of elements in the peripheral region of the load distribution sensor.
[0009] An information processing method according to one aspect of the present disclosure involves a computer performing the following steps: acquiring detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix for detecting the load received from the soles of a user's feet when the user's feet are placed on it; and determining the degree of deterioration of each element based on evaluation results obtained by evaluating the detection results of each element using the detection results of a plurality of elements in the peripheral region of the load distribution sensor.
[0010] A program according to one aspect of this disclosure causes a computer to perform the following processes: acquiring detection results from each element of a load distribution sensor having a plurality of elements arranged in a matrix for detecting the load received from the soles of the user's feet when the user's feet are placed on it; and determining the degree of deterioration of each element based on evaluation results 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.
[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 for detecting the load received from the soles of the user's feet when the user's feet are placed on it, and an information processing device for determining the degree of deterioration of each element of the load distribution sensor. The information processing device comprises an acquisition unit for acquiring detection results from each element of the load distribution sensor, and a determination processing unit for determining the degree of deterioration of each element based on evaluation results obtained by evaluating the detection results of each element using the detection results of a plurality of elements in the peripheral region of the load distribution sensor. [Effects of the Invention]
[0012] According to the present invention, it is possible to measure the degree of degradation distribution of a load distribution sensor using a simple method. [Brief explanation of the drawing]
[0013] [Figure 1] This is a perspective view showing an example configuration of a walking training device. [Figure 2] This is a diagram illustrating the configuration of an information processing device according to an embodiment. [Figure 3] This figure shows the detection results for each element. [Figure 4] This figure shows the detection results for each element. [Figure 5] This figure shows the maximum value of the detection result for each element obtained over a predetermined period. [Figure 6] This figure shows the maximum value of the detection result for each element obtained over a predetermined period. [Figure 7] This figure shows the normalized values of the maximum detection results for each element. [Figure 8] It is a diagram showing the normalized value of the maximum detection result of each element. [Figure 9] It is a diagram showing an example of a degradation degree distribution map. [Figure 10] It is a diagram comparing the detection result of the load distribution sensor and the detection result of the plantar pressure sensor. [Figure 11] It is a diagram comparing the corrected value of the detection result of the load distribution sensor and the detection result of the plantar pressure sensor. [Figure 12] It is a flowchart for explaining the information processing method according to the embodiment.
Mode for Carrying Out the Invention
[0014] Hereinafter, embodiments of the present invention will be described with reference to the drawings. For the sake of clarity of explanation, the following description and drawings are appropriately omitted and simplified. Also, in each drawing, the same reference numerals are assigned to the same elements, and duplicate explanations are omitted as necessary.
[0015] FIG. 1 is a perspective view showing a configuration example of the 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 particularly supports walking training. The walking training device 1 mainly includes a main body 2, a control device 5, a treadmill 3, a load distribution sensor 4, a control device 5, a camera unit 6, a suspension unloading device 7, a walking assistance device 8, a training monitor 91, and a management monitor 92. The main body 2 is a support structure of the walking training device 1.
[0016] The treadmill 3 is a device that prompts the trainee to walk. The treadmill 3 includes a ring-shaped belt 31, as well as pulleys and motors not shown in the figure. By rotating the pulley with a motor, the ring-shaped belt 31 rotates. A trainee who performs walking training rides on the belt 31 and performs a walking motion in accordance with the movement of the belt 31.
[0017] Inside the ring-shaped belt, a load distribution sensor 4 is installed so as not to be interlocked with the belt. The load distribution sensor 4 is disposed below the belt 31 that supports the soles of the trainer's feet. The load distribution sensor 4 has elements that are a plurality of 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.
[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 from the soles of the trainer'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 discriminates the walking state of the trainer based on information regarding the load distribution in the sole area of the trainer measured by the load distribution sensor 4, and rotates a pulley using a motor (not shown) according to the walking state, thereby enabling the ring-shaped belt to rotate. Further, the control device 5 includes an information processing device 10 that measures the distribution of the degree of deterioration 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 photographing the trainer. The camera unit 6 is installed at a position where it can photograph the entire body of the trainer during use of the walking training device 1. From the photographed image by the camera unit 6, it is possible to specify whether the load detected by the load distribution sensor 4 is the load received from the sole of the right foot or the left foot of the trainer.
[0021] The suspension unloading device 7 is a support device for supporting the trainer from above via a connecting device. The connecting device includes a harness and a belt. The harness is worn on a body part such as the waist of the trainer. One end of the belt is connected to the harness, and the other end is connected to the suspension unloading device 7. The suspension unloading device 7 supports the trainer from above via the belt and the harness thus connected.
[0022] The walking assistance device 8 is attached to the trainee's legs and is a device for assisting the trainee's walking. For example, the walking assistance device 8 reduces the load on the trainee's knee joint during extension and flexion. The walking assistance device 8 transmits data obtained from walking training to the control device 5 and drives joint parts according to instructions from the control device 5.
[0023] The walking assistance device 8 is equipped with a base 81 on which the trainee's feet rest. A load measuring device (not shown) may be provided on the base 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 plantar load sensor that detects the load applied perpendicularly to the base 81.
[0024] The training monitor 91 is a display device such as an LCD panel. The training monitor 91 is positioned so that the trainee can see it while walking on the belt 31 of the treadmill 3. For example, the training monitor 91 displays information related to the training that should be presented to the trainee.
[0025] The management monitor 92 is a display and input device for monitoring and operating by training staff who assist in the training of trainees. The management monitor 92 is, for example, a touch panel that integrates a display device and an input device. The management monitor 92 displays various menu items and parameter values related to training settings. 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] Figure 2 is a diagram illustrating the configuration of the information processing device 10 according to the embodiment. Figure 2 shows the functional blocks that realize each function of the walking training device 1. In addition to the load distribution sensor 4, control device 5, and display device 9 described above, the walking training device 1 includes a treadmill drive unit 32. The control device 5 includes the information processing device 10, load calculation unit 51, system control unit 52, and display processing unit 53. Each of these components is connected to the others.
[0027] The load calculation unit 51 acquires detection results from the load distribution sensor 4 and calculates information regarding the load distribution of the trainee's sole based on the detection results. The load calculation unit 51 supplies the measured load distribution information of the sole to the system control unit 52. The system control unit 52 controls various drive units based on the load distribution information of the sole. For example, the system control unit 52 is connected to the treadmill drive unit 32 by wire or wireless. The system control unit 52 transmits a drive signal to the treadmill drive unit 32.
[0028] The treadmill drive unit 32 rotates the belt 31 of the treadmill 3 based on the drive 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 drive signals not only for the treadmill 3 but also for the suspension load reduction device 7, 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 display images, and displays them on the display device 9. For example, the display processing unit 53 can generate images of the trainee during training captured by the camera unit 6, or images showing the progress of the training, according to the display signals. The display processing unit 53 can also generate images showing the load distribution in the sole area of the trainee's feet, and a degradation distribution map showing the degree of degradation of the load distribution sensor 4, which will be described later.
[0030] The information processing device 10 has a function to determine the degree of deterioration of each element of the load distribution sensor 4 from the detection results 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 map creation unit 14, and a correction processing unit 15. When determining the degree of deterioration of the load distribution sensor 4, the person walking on the treadmill 3 is considered the "user".
[0031] The acquisition unit 11 acquires detection results from each element of the load distribution sensor 4, which has multiple elements arranged in a matrix that detect the load received from the soles of the user's feet when the user's feet are placed on it. For example, when a training staff member or a trainee before or after training walks evenly across the entire detection surface on the load distribution sensor 4 while changing their walking position, detection results are output from each element of the load distribution sensor 4. In other words, the detection results include information on the load value corresponding to each element at a different position. 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 across the entire detection surface of the load distribution sensor 4.
[0032] The degree of degradation of the load distribution sensor 4 is determined periodically at a predetermined frequency, for example, after the gait training device 1 has been installed and operated for a predetermined period. It is generally known that after the start of operation of the gait training device 1, localized degradation of the elements begins, mainly around the center of the load distribution sensor 4 where the trainee walks. Furthermore, the degradation area gradually expands over time, and the degradation of the elements progresses rapidly after about one year. For this reason, for example, the determination can be performed every month after one year has passed since the start of operation. Note that the operating period of the load distribution sensor 4 and the frequency of the determination can be changed as appropriate.
[0033] Figures 3 and 4 show the detection results for each element. Figure 3 shows multiple elements arranged in a matrix, color-coded according to their output values within predetermined value ranges. In Figure 3, lighter colors represent non-degraded areas, and darker colors represent degraded areas. As shown in Figure 3, element A is in the non-degraded area, and element B is in the degraded area.
[0034] Figure 4 shows the output values of elements A and B in Figure 3, respectively, when a user walks on the load distribution sensor 4 for 3 minutes. In Figure 4, the horizontal axis represents time, and the vertical axis represents the magnitude of the output value (load [N]). For explanatory purposes, in Figure 4, the output values of element A and element B are displayed side by side vertically.
[0035] In this example, the output value of each element is set to 0 when no load is applied, and becomes a negative value as the load increases. The detection result of each element is, for example, the maximum load detected when a user walks on the load distribution sensor over a predetermined period of time. As shown in Figure 4, for both elements A and B, the output value increases when the user firmly steps on it with their foot, and decreases when the foot only grazes it. For example, an element stepped on by the user's heel will have a higher output value than elements stepped on by the arch or toes. However, regardless of whether the user firmly steps on it or not, the output value of element B, which is the degraded part, is generally smaller than the output value of element A, which is the non-degraded part. As shown in Figure 4, the maximum output value of element A when the user walks for 3 minutes is LAmax, and the maximum output value of element B is LBmax.
[0036] Figures 5 and 6 show the maximum detection values for each element obtained over a predetermined period. Figure 5 shows multiple elements arranged in a matrix, color-coded according to their maximum values within a predetermined range. In Figure 5, lighter colors represent non-degraded areas, and darker colors represent degraded areas. Figure 6 plots the maximum detection values for each element obtained over a predetermined period on an xyz coordinate system. In Figure 6, the xy axes represent the coordinates of each element, and the z axis represents the maximum detection value for each element.
[0037] Trainees typically perform walking training near the center of the load distribution sensor 4, and element degradation is more pronounced near the center of the load distribution sensor 4. This area near the center of the load distribution sensor 4 is designated as the inner region. The area surrounding the center of the load distribution sensor 4, where element degradation is less likely to occur, is designated as the peripheral region. Furthermore, the area outside the peripheral region is designated as the outer region. As shown in Figures 5 and 6, the maximum value in the inner region is smaller than the maximum value in the peripheral region. Also, because the outer region is less likely to be stepped on, the output values from each element in the outer region are smaller than in other regions. In this embodiment, the degradation degree of the elements in the peripheral region of the load distribution sensor 4 is set to 0, and the degradation degree of each element is determined by comparing the output values of other elements with the output values of the elements in the peripheral region.
[0038] The acquisition unit 11 supplies the acquired multiple 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 normalizes the detection result of each element to a value between 0 and 1, with the average value of the detection results of multiple elements in the surrounding area set to 1.
[0039] As described above, if a person is not properly stepping on the load distribution sensor 4 in the outer region, the output values from each element in the outer region will be smaller than in other regions. Therefore, the normalization processing unit 12 corrects the normalized value of the detection result of each element in the outer region to 1. The normalization processing unit 12 can also extract elements whose normalized detection value is greater than or equal to 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 0.9 or higher and set these values uniformly to 1. In other words, only elements that have deteriorated by 10% or more will be extracted. This makes it possible to filter out noise and make it easier to identify deteriorated elements.
[0040] Figures 7 and 8 show the normalized values of the maximum detection results for each element. In Figures 7 and 8, the normalized values described above have been corrected. Figure 7 shows multiple elements arranged in a matrix, color-coded according to predetermined value ranges based on the normalized values. In Figure 7, the area within the inner rectangle indicated by the dashed line is the inner region, the area enclosed by the inner and outer rectangles is the peripheral region, and the area outside the outer rectangle is the outer region. In Figure 7, lighter colors represent non-degraded areas, and darker colors represent degraded areas. Figure 8 plots the maximum detection results of each element obtained over a predetermined period on an xyz coordinate system. In Figure 6, the xy axes represent the coordinates of each element, and the z axis represents the normalized values of the maximum detection results for each element.
[0041] The determination processing unit 13 determines the degree of degradation of each element based on evaluation results 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 4. Here, as an example of evaluation results, the determination processing unit 13 determines the degree of degradation of an element based on normalized detection results. For example, the determination processing unit 13 can determine the degree of degradation of each element of the load distribution sensor 4 by comparing the normalized detection results with a set number of threshold values. The map creation unit 14 then creates a degradation distribution map by color-coding each element according to its degree of degradation based on the normalized values of the detection results of each element. Figure 9 shows an example of a degradation distribution map.
[0042] Figure 9 shows multiple elements arranged in a matrix, color-coded according to their degree of degradation. In Figure 9, lighter colors indicate elements with a degradation level of 10% or less, while darker colors indicate elements with a degradation level of 80% or more. Thus, according to this embodiment, it is possible to identify elements of the load distribution sensor 4 that have degraded to a certain level or higher. As a result, if there are elements that have degraded to a certain level or higher, countermeasures such as replacing the sensor can be implemented.
[0043] Furthermore, if the degree of degradation is less than a predetermined value, that is, if the degradation has not progressed to the point where the load distribution sensor 4 needs to be replaced, it is also possible to correct the detection results of each element. For example, the correction processing unit 15 can correct the detection results of each element by multiplying them by the reciprocal of the normalized value of the detection result of each element as a correction gain. Figure 10 is a diagram comparing the detection results of the load distribution sensor 4 before degradation and the detection results of the sole load sensor. Figure 11 is a diagram comparing the detection results of the load distribution sensor 4 after degradation, the corrected value, and the detection results of the sole load sensor.
[0044] Referring to Figure 10, the output value of the load distribution sensor 4 before degradation and the output value of the sole load sensor are approximately equal. The output value of the load distribution sensor 4 after degradation is lower than the output value of the sole load sensor. By correcting the output value of the load distribution sensor 4 after degradation using the correction gain described above, the corrected value can be brought closer to the output value of the sole load sensor.
[0045] In this way, even when the output value is reduced due to element degradation, an output value almost equal to that of when there is no degradation can be obtained. This makes it possible to extend the replacement cycle of the load distribution sensor 4 and extend the lifespan of the load distribution sensor 4.
[0046] The memory unit 16 is a storage medium that stores information necessary 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, although this configuration is not shown. The memory unit 16 stores a program that causes the computer to execute each of the above-mentioned processes. The processor loads the program from the storage device into 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 component of the information processing device 10 may be implemented with dedicated hardware. Alternatively, some or all of the components of each device may be implemented by general-purpose or dedicated circuits, processors, etc., or combinations thereof. These may be comprised of a single chip or multiple chips connected via a bus. Some or all of the components of each device may be implemented by a combination of the aforementioned circuits, etc., and programs. Furthermore, a CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (Field-Programmable Gate Array), quantum processor (quantum computer control chip), etc., may be used as the processor.
[0048] Furthermore, if some or all of the components of the information processing device 10 are realized by multiple devices or circuits, these multiple devices or circuits may be centrally located or distributed. The devices or circuits that realize the above 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. In addition, the functions of the information processing device 10 may be provided in SaaS (Software as a Service) format.
[0049] Next, the processing performed by the information processing device 10 will be described with reference to Figure 12. Figure 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 multiple elements arranged in a matrix that detect the load received from the soles of the user's feet when the user's feet are placed on it (S1). As described above, the detection results from each element are generated when the user steps evenly across 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 degree of degradation of the element based on the normalized detection results (S13).
[0052] As described above, according to this embodiment, output values from each element can be easily obtained simply by having a user walk on a treadmill 3 equipped with a load distribution sensor 4 on its underside, without the need for special measuring jigs or the like. Furthermore, the output values from each element can be acquired in a short time of about 3 minutes. In addition, since the output values from each element are evaluated relatively by one user, even if other users with different weights, etc., perform the same deterioration degree judgment, substantially the same judgment results can be obtained. For this reason, the deterioration degree evaluation may be performed by different users each time.
[0053] In the examples described above, the program includes a set of instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more of the functions described in the embodiments. The program may be stored in a non-temporary computer-readable medium or a physical storage medium. Examples, but not limited to, include RAM, ROM (read-only memory), flash memory, SSD or other memory technologies, CD-ROM, digital versatile disc (DVD), Blu-ray® disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices. The program may be transmitted over a temporary computer-readable medium or a communication medium. Examples, but not limited to, include, a temporary computer-readable medium or a communication medium that includes an electrical, optical, acoustic or other form of propagating signal.
[0054] It should be noted that the present invention is not limited to the embodiments described above, and can be modified as appropriate without departing from the spirit of the invention. In the above example, the determination processing unit 13 determined the degree of degradation of each element based on the "normalized detection result" as an example of an evaluation result, but is not limited to this example. For example, the determination 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 results of multiple elements in the surrounding area of the load distribution sensor 4 as an evaluation result. [Explanation of Symbols]
[0055] 1. Walking training device 2 Main unit 3 Treadmills 4. Load distribution sensor 5 Control device 6 Camera Units 7. Suspension load-relief device 8 Walking assistance devices 9 Display device 91 Training Monitor 92 Management Monitor 10 Information Processing Devices 11 Acquisition Department 12 Normalization Processing Unit 13. Determination Processing Unit 14. Map Creation Department 15 Correction Processing Unit 16 Memory section 31 belt 32 Treadmill drive unit 51 Load Calculation Unit 52 System Control Unit 53 Display Processing Unit 81 Bottom
Claims
1. An acquisition unit that acquires detection results from each element of a load distribution sensor having multiple elements arranged in a matrix, which detects the load received from the soles of the user's feet when the user's feet are placed on it, A determination processing unit determines the degree of degradation of each element based on evaluation results 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. Equipped with, Information processing device.
2. The system further includes a normalization processing unit that normalizes the detection results of each element using the detection results of multiple elements in the surrounding area of the load distribution sensor. The determination processing unit determines the degree of degradation of each element based on the normalized detection results as an evaluation result. The information processing apparatus according to claim 1.
3. The normalization processing unit sets the average value of the detection results of the multiple elements in the peripheral region to 1. The detection result for each element is normalized between 0 and 1. The information processing apparatus according to claim 2.
4. The normalization processing unit corrects the normalized value of the detection result of each element in the region outside the peripheral region to 1. The information processing apparatus according to claim 3.
5. The normalization processing unit extracts elements whose normalized detection result is greater than or equal to a predetermined value, and corrects the normalized detection result of the extracted elements to 1. The information processing apparatus according to claim 3.
6. The system further includes a correction processing unit that corrects the detection results of each element by using the reciprocal of the normalized value of the detection result of each element as the correction gain. The information processing apparatus according to claim 3.
7. The system further includes a map creation unit that, based on the evaluation results of each element, creates a degradation distribution map by color-coding each element according to its degree of degradation. The information processing apparatus according to claim 1.
8. The detection result for each element is the maximum value of the load detected when the user walks on the load distribution sensor over a predetermined period of time. The information processing apparatus according to claim 1.
9. Computers A process to acquire detection results from each element of a load distribution sensor, which has multiple elements arranged in a matrix, that detects the load received from the soles of the user's feet when the user's feet are placed on it, and The process involves determining the degree of degradation of each element based on evaluation results 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, Execute Information processing methods.
10. A process to acquire detection results from each element of a load distribution sensor, which has multiple elements arranged in a matrix, that detects the load received from the soles of the user's feet when the user's feet are placed on it, and The process involves determining the degree of degradation of each element based on evaluation results 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, Make the computer execute it. program.
11. A load distribution sensor having multiple elements arranged in a matrix that detects the load received from the sole of the user's foot when the user's foot is placed on it, The system includes an information processing device that determines the degree of deterioration of each element of the load distribution sensor, The aforementioned information processing device is An acquisition unit that acquires detection results from each element of the load distribution sensor, A determination processing unit determines the degree of degradation of each element based on evaluation results 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. Equipped with, Load distribution measuring device.