Foot arch structure digital characterization method and device based on foot arch characteristic parameters

Abstract

The invention relates to the technical field of digital processing, and provides a foot arch structure digital characterization method and device based on foot arch characteristic parameters, and the method comprises the steps: firstly carrying out the three-dimensional scanning of a human foot, and obtaining a foot skeleton model; then, based on a foot skeleton model, determining arch key feature points; then constructing a longitudinal arch triangle and a three-dimensional space geometry of the arch structure based on the arch key feature points; finally, based on the longitudinal arch triangle and the three-dimensional space geometry, arch characteristic parameters of the arch structure are determined, and the arch characteristic parameters comprise a longitudinal arch length parameter, a longitudinal arch angle parameter, a longitudinal arch ratio parameter, the area of the plantar triangle and the volume of the arch structure. According to the method, by determining the foot arch characteristic parameters of the foot arch structure, the geometric characteristics of the foot arch structure can be accurately measured and described, more scientific data support can be provided for foot health assessment, insole customization design and the like, and subsequent application of the foot arch structure is facilitated.

Description

Technical Field

[0001] The present invention belongs to the technical field of digital processing, and in particular relates to a method and a device for digitally representing a foot arch structure based on foot arch characteristic parameters. Background Art

[0002] The human foot has the function of supporting the body's weight and various movements. The arch structure is an important part of the human foot and plays a key role in the foot's load-bearing, shock absorption, and external pressure dispersion. The deformation of the arch structure is closely related to foot health, especially during load-bearing and gait movements. Existing digital characterization methods for the foot mostly rely on imaging analysis or manual measurement, which has certain limitations and is difficult to accurately reflect the specific characteristics of an individual's arch.

[0003] Therefore, there is an urgent need to provide a method for digitally characterizing the arch structure based on arch characteristic parameters so as to digitally characterize the arch structure more accurately and comprehensively. Summary of the invention

[0004] The present invention provides a method and device for digitally characterizing the arch structure based on arch characteristic parameters, so as to solve the defects existing in the prior art.

[0005] The present invention provides a method for digitally characterizing a foot arch structure based on foot arch characteristic parameters, comprising: Perform a three-dimensional scan of the human foot to obtain a foot bone model; Based on the foot skeleton model, determining key feature points of the arch of the foot; Based on the key feature points of the arch, a longitudinal arch triangle and a three-dimensional geometric body of the arch structure are constructed; Based on the longitudinal arch triangle and the three-dimensional spatial geometry, the arch characteristic parameters of the arch structure are determined, and the arch characteristic parameters include a longitudinal arch length parameter, a longitudinal arch angle parameter and a longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

[0006] According to a method for digitally characterizing arch structure based on arch characteristic parameters provided by the present invention, the longitudinal arch triangle includes an inner arch triangle and an outer arch triangle; The longitudinal arch length parameters include the inner arch length and the inner arch height in the inner arch triangle, and the outer arch length and the outer arch height in the outer arch triangle; The longitudinal arch angle parameters include the medial longitudinal arch angle in the medial arch triangle, and the lateral longitudinal arch angle, the anterior arch angle and the posterior arch angle in the lateral arch triangle; The longitudinal arch ratio parameters include the medial longitudinal arch index within the medial arch triangle, the lateral longitudinal arch index within the lateral arch triangle, and the arch height index.

[0007] According to a method for digitally representing an arch structure based on arch characteristic parameters provided by the present invention, the arch characteristic parameters of the arch structure are determined based on the longitudinal arch triangle and the three-dimensional space geometric body, and then the method includes: Determine sample arch characteristic parameters of multiple testers; Establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers; Wherein, the plantar pressure regression model is used to predict plantar pressure distribution.

[0008] According to a method for digitally characterizing arch structure based on arch characteristic parameters provided by the present invention, a plantar pressure regression model is established based on the sample arch characteristic parameters of the multiple testers and in combination with the weights of the multiple testers, including: Performing a normality test on the sample arch characteristic parameters of the plurality of testers to obtain candidate arch characteristic parameters that obey a normal distribution; Based on the candidate arch characteristic parameters, combined with the weights of the multiple testers and the peak plantar pressures of the multiple testers in normal standing postures, establishing the plantar pressure regression model; Respectively calculating the corrected correlation coefficient, cross-validation correlation coefficient, corrected root mean square error and cross-validation root mean square error of the plantar pressure regression model; The plantar pressure regression model is tested based on the corrected correlation coefficient, the cross-validation correlation coefficient, the corrected root mean square error and the cross-validation root mean square error.

[0009] According to a method for digitally characterizing arch structure based on arch characteristic parameters provided by the present invention, a plantar pressure regression model is established based on the sample arch characteristic parameters of the multiple testers and combined with the weights of the multiple testers, and then includes: Acquire target arch characteristic parameters of a target object and the weight of the target object; Based on the target arch characteristic parameter and the weight of the target object, the plantar pressure regression model is applied to determine the target plantar pressure of the target object; Based on the target plantar pressure, a personalized insole for the target object is produced.

[0010] According to a method for digitally characterizing an arch structure based on arch characteristic parameters provided by the present invention, the method of producing a personalized insole for the target object based on the target plantar pressure includes: determining a material thickness of a forefoot region of the personalized insole based on the target plantar pressure; Based on the material thickness, the personalized insole is manufactured.

[0011] According to a method for digitally characterizing an arch structure based on arch characteristic parameters provided by the present invention, the method of producing a personalized insole for the target object based on the target plantar pressure includes: Based on the target plantar pressure, the personalized insole is manufactured using 3D printing technology.

[0012] The present invention also provides a device for digitally representing the arch structure based on the arch characteristic parameters, comprising: A three-dimensional scanning module is used to perform three-dimensional scanning on the human foot to obtain a foot bone model; A key feature point determination module, used to determine the key feature points of the arch based on the foot skeleton model; A structure construction module, used to construct a longitudinal arch triangle and a three-dimensional spatial geometry of the arch structure based on the key feature points of the arch; A characteristic parameter determination module is used to determine the arch characteristic parameters of the arch structure based on the longitudinal arch triangle and the three-dimensional spatial geometry, wherein the arch characteristic parameters include a longitudinal arch length parameter, a longitudinal arch angle parameter and a longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for digitally characterizing the arch structure based on arch characteristic parameters as described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for digitally characterizing the arch structure based on arch characteristic parameters as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for digitally characterizing the arch structure based on arch characteristic parameters.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The digital characterization method and device of the arch structure based on the arch characteristic parameters provided by the present invention first perform a three-dimensional scan on the human foot to obtain a foot bone model; then determine the key characteristic points of the arch based on the foot bone model; thereafter, construct the longitudinal arch triangle and the three-dimensional space geometric body of the arch structure based on the key characteristic points of the arch; finally, based on the longitudinal arch triangle and the three-dimensional space geometric body, determine the arch characteristic parameters of the arch structure, the arch characteristic parameters include the longitudinal arch length parameter, the longitudinal arch angle parameter and the longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume. By determining the arch characteristic parameters of the arch structure, the method can accurately measure and describe the geometric characteristics of the arch structure, can provide more scientific data support for foot health assessment, custom insole design, etc., and is convenient for subsequent application of the arch structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings in the following description without paying any creative work.

[0018] Figure 1 It is a schematic flow chart of a method for digitally characterizing arch structure based on arch characteristic parameters provided by the present invention; Figure 2 It is a schematic diagram of key characteristic points of the arch structure in the method for digitally representing the arch structure based on arch characteristic parameters provided by the present invention; Figure 3 It is a schematic diagram of the inner arch triangle and the outer arch triangle of the arch structure in the digital representation method of the arch structure based on the arch characteristic parameters provided by the present invention.

[0019] Figure 4 It is a schematic diagram of the three-dimensional geometric body of the arch structure in the digital representation method of the arch structure based on the arch characteristic parameters provided by the present invention.

[0020] Figure 5 It is a structural schematic diagram of a device for digitally representing arch structure based on arch characteristic parameters provided by the present invention; Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Figure 1 FIG. 1 is a flow chart of a method for digitally characterizing a foot arch structure based on foot arch characteristic parameters provided in an embodiment of the present invention. Figure 1 As shown, the method includes: S1, perform a three-dimensional scan of the human foot to obtain a foot bone model; S2, determining key feature points of the arch of the foot based on the foot skeleton model; S3, constructing a longitudinal arch triangle and a three-dimensional geometric body of the arch structure based on the key feature points of the arch; S4, based on the longitudinal arch triangle and the three-dimensional space geometry, determine the arch characteristic parameters of the arch structure, the arch characteristic parameters including the longitudinal arch length parameter, the longitudinal arch angle parameter and the longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

[0023] Specifically, the method for digital characterization of arch structure based on arch characteristic parameters provided in an embodiment of the present invention is executed by a device for digital characterization of arch structure based on arch characteristic parameters. The device can be configured in a computer, which can be a local computer or a cloud computer. The local computer can be a computer, a tablet, etc., which is not specifically limited here.

[0024] First, step S1 is performed to perform a three-dimensional scan of a human foot using a scanning device to obtain a foot bone model, which may be a three-dimensional geometric model including human foot bones.

[0025] Then, step S2 is performed to determine the key feature points of the arch of the foot using the foot skeleton model. Here, the foot skeleton model can be imported into the HyperMesh software, and multiple fixed reference coordinate systems are selected after rotation, scaling and translation to perform a three-dimensional dynamic digital definition of the foot skeleton model to determine the key feature points of the arch of the foot.

[0026] like Figure 2 As shown, the left image is the medial view of the human foot, and the right image is the lateral view of the human foot. 1-7 are the calcaneus, talus, navicular bone, medial cuneiform bone, first metatarsal bone, cuboid bone and fifth metatarsal bone.

[0027] In the process of foot force transmission, the functions of the medial longitudinal arch and the lateral longitudinal arch are crucial, which help the foot bear weight, reduce shock and disperse external resistance. The medial longitudinal arch includes the calcaneus 1, talus 2, navicular bone 3, medial cuneiform 4 and first metatarsal 5, while the lateral longitudinal arch is composed of the calcaneus 1, cuboid bone 6 and fifth metatarsal 7.

[0028] Figure 2 In the figure, A is the lowest point of the joint of the calcaneus 1; B is the lowest point of the joint of the talus 2 and the navicular bone 3; C is the lowest point of the distal end of the first metatarsal 5; D is the lowest point of the joint of the cuboid bone 6; and E is the lowest point of the distal end of the fifth metatarsal 7.

[0029] The arch key feature points may include AE.

[0030] Then, step S3 is performed to construct the longitudinal arch triangle and three-dimensional geometric body of the arch structure using the key feature points of the arch. The arch structure may include the medial longitudinal arch structure and the lateral longitudinal arch structure, and the longitudinal arch triangle includes the medial arch triangle and the lateral arch triangle.

[0031] When standing normally, the human foot is in indirect contact with the ground mainly through the lowest point A of the calcaneus, the lowest point C of the distal end of the first metatarsal 5, and the lowest point E of the distal end of the fifth metatarsal 7. The triangular structure formed by these three points works in synergy with the joints, ligaments, tendons, and plantar fascia, so that the arch of the foot has good toughness and elasticity, so that the human foot can adapt to various load-bearing conditions. The joints of the navicular bone 3 and the calcaneal bone 1 provide stability for the upper part of the medial longitudinal arch and the lateral longitudinal arch, respectively. When the human foot is loaded, they are in a "locked state" and are highly conformed joints. The destruction of the joints of the navicular bone 3 and the calcaneal bone 1 will lead to the collapse of the arch of the foot. The lowest point B of the joint of the navicular bone 3 and the lowest point A of the joint of the calcaneal bone 1 are the main reference points for reflecting the height of the medial longitudinal arch and the lateral longitudinal arch and assessing the type of arch of the foot.

[0032] like Figure 3 As shown, the lowest point A of the joint of the calcaneus 1, the lowest point B of the joint of the navicular bone 3 and the lowest point C of the distal end of the first metatarsal 5 form ∆ABC, which is an inner arch triangle; the lowest point A of the joint of the calcaneus 1, the lowest point D of the joint of the cuboid bone 6 and the lowest point E of the distal end of the fifth metatarsal 7 form ∆ADE, which is an outer arch triangle.

[0033] The medial arch triangle and the lateral arch triangle reflect the basic structural characteristics of the arch of the foot and play a vital role in the study of the arch of the foot.

[0034] Since the arch structure is a three-dimensional structure consisting of the foot bones and their joints, ligaments, and tendons, it is an arch-shaped bone structure that protrudes toward the dorsum of the foot. Therefore, it is necessary to construct a three-dimensional geometric body of the arch structure to approximate the arch structure and achieve a more comprehensive digital representation of the arch. Figure 4As shown, using the inner arch triangle ∆ABC and the outer arch triangle ∆ADE, with the lowest joint point A of the calcaneus 1 as the common vertex, the lowest joint point B of the navicular bone 3 and the lowest joint point D of the cuboid bone 6, the distal lowest point C of the first metatarsal 5 and the distal lowest point E of the fifth metatarsal 7 are connected respectively to form a pentahedron ABCDE, which is a three-dimensional spatial geometric body of the arch structure, in which except for surface BCDE which is a curved surface, the other surfaces are all planes.

[0035] Finally, step S4 is performed to determine the arch characteristic parameters of the arch structure using the longitudinal arch triangle and the three-dimensional space geometric body. The arch characteristic parameters include the longitudinal arch length parameter, the longitudinal arch angle parameter and the longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

[0036] Since the longitudinal arch triangle includes the inner arch triangle and the outer arch triangle, the longitudinal arch length parameters include the inner arch length and inner arch height in the inner arch triangle, and the outer arch length and outer arch height in the outer arch triangle. The longitudinal arch angle parameters include the inner longitudinal arch angle in the inner arch triangle, and the outer longitudinal arch angle, anterior arch angle, and posterior arch angle in the outer arch triangle. The longitudinal arch ratio parameters include the inner longitudinal arch index in the inner arch triangle, the outer longitudinal arch index in the outer arch triangle, and the arch height index. Among them, the longitudinal arch ratio parameters can better characterize the characteristics of the arch shape of the foot.

[0037] like Figure 3 As shown, the inner arch length AC is the distance between the lowest joint point A of the calcaneus 1 and the lowest distal point C of the first metatarsal 5. The inner arch height H is the vertical distance from the lowest joint point B of the navicular bone 3 to the line connecting the lowest joint point A of the calcaneus 1 and the lowest distal point C of the first metatarsal 5. The inner arch height H can reflect the height of the inner edge of the foot.

[0038] The external arch length AE is the distance between the lowest joint point A of the calcaneus 1 and the lowest distal point E of the fifth metatarsal 7. The external arch height h is the vertical distance from the lowest joint point D of the cuboid bone 6 to the line connecting the lowest joint point A of the calcaneus 1 and the lowest distal point E of the fifth metatarsal 7. The external arch height h can reflect the height of the outer edge of the foot.

[0039] The medial longitudinal arch angle ∠ABC is the angle formed by the lines connecting the lowest joint point A of the calcaneus 1 and the lowest distal point C of the first metatarsal 5 with the lowest joint point B of the navicular bone 3. It is one of the key angles for defining the arch, and the normal value range is 113°~130°.

[0040] The lateral longitudinal arch angle ∠ADE is the angle formed by the lines connecting the lowest joint point A of the calcaneus 1 and the lowest distal point E of the fifth metatarsal 7 and the lowest joint point D of the cuboid bone 6. It is one of the key angles for defining the arch, and the normal value range is 130°~150°.

[0041] The anterior arch angle ∠AED is the angle formed by the lines connecting the lowest joint point A of the calcaneus 1 and the lowest joint point D of the cuboid bone 6 and the distal lowest point E of the fifth metatarsal 7, which can reflect the degree of descent of the anterior transverse arch of the metatarsal. The normal value is greater than 13°.

[0042] The posterior arch angle ∠DAE is the angle formed by the lines connecting the lowest joint point D of the cuboid bone 6 and the lowest distal point E of the fifth metatarsal 7 with the lowest joint point A of the calcaneus 1, which can reflect the degree of calcaneal descent, and the normal value is greater than 16°.

[0043] The medial longitudinal arch index is the ratio of the medial arch height H to the medial arch length AC, that is, H / AC. It can reflect the flatness of the arch structure. It is directly proportional to the medial arch height H and inversely proportional to the medial arch length AC.

[0044] The lateral longitudinal arch index is the ratio of the external arch height h to the external arch length AE, that is, h / AE. It can reflect the degree of descent of the outer edge of the foot. It is directly proportional to the external arch height h and inversely proportional to the external arch length AE.

[0045] The arch height index is the ratio of the inner arch height H to the outer arch height h, and its size is related to foot inversion and eversion.

[0046] The plantar triangle area S is the plantar triangle formed by the lowest point A of the calcaneus 1, the lowest point C of the distal end of the first metatarsal 5, and the lowest point E of the distal end of the fifth metatarsal 7. area.

[0047] The arch structure volume V is the volume of the arch space geometry ABCDE.

[0048] The digital characterization method of the arch structure based on the arch characteristic parameters provided in the embodiment of the present invention first performs a three-dimensional scan on the human foot to obtain a foot bone model; then, based on the foot bone model, the key feature points of the arch are determined; thereafter, based on the key feature points of the arch, the longitudinal arch triangle and the three-dimensional space geometry of the arch structure are constructed; finally, based on the longitudinal arch triangle and the three-dimensional space geometry, the arch characteristic parameters of the arch structure are determined, and the arch characteristic parameters include the longitudinal arch length parameter, the longitudinal arch angle parameter and the longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume. By determining the arch characteristic parameters of the arch structure, the method can accurately measure and describe the geometric characteristics of the arch structure, and can provide more scientific data support for foot health assessment, custom insole design, etc., which is convenient for subsequent application of the arch structure.

[0049] On the basis of the above embodiment, the method of determining the arch characteristic parameters of the arch structure based on the longitudinal arch triangle and the three-dimensional space geometric body comprises: Determine sample arch characteristic parameters of multiple testers; Establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers; Wherein, the plantar pressure regression model is used to predict plantar pressure distribution.

[0050] Specifically, after determining the arch characteristic parameters of the arch structure, the sample arch characteristic parameters of multiple testers can be determined first, and the number of testers can be selected as needed, for example, 13 testers can be selected. As shown in Table 1, the statistical information of the sample arch characteristic parameters of each tester is obtained by importing the sample arch characteristic parameters of each tester into IBM SPSS Statistics 26 software for statistical analysis.

[0051] Table 1 Statistical information of arch characteristic parameters of each tester

[0052] in, P is the probability value in the normality test.

[0053] Since the normal standing posture, i.e., the standing posture with the two soles open at an angle of 30°, is the standing posture closest to a normal person, the present invention uses the sample arch characteristic parameters of each tester and the weight of multiple testers to establish a PLSR regression model of the arch characteristic parameters under normal standing posture and the influence of weight on plantar pressure as a plantar pressure regression model. The plantar pressure regression model is used to predict the plantar pressure distribution.

[0054] Assuming F is the peak plantar pressure in normal standing posture, the mathematical expression of the plantar pressure regression model is as follows:

[0055] Where, m is body weight; is the regression intercept, are the regression coefficients corresponding to the arch characteristic parameters.

[0056] The specific values ​​of the regression intercept and regression coefficients in the plantar pressure regression model are shown in Table 2.

[0057] Table 2 Specific values ​​of the regression intercept and regression coefficients in the plantar pressure regression model

[0058] On the basis of the above embodiment, the plantar pressure regression model is established based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers, including: Performing a normality test on the sample arch characteristic parameters of the plurality of testers to obtain candidate arch characteristic parameters that obey a normal distribution; Based on the candidate arch characteristic parameters, combined with the weights of the multiple testers and the peak plantar pressures of the multiple testers in normal standing posture, an initial plantar pressure regression model is established; Respectively calculating the corrected correlation coefficient, cross-validation correlation coefficient, corrected root mean square error and cross-validation root mean square error of the initial plantar pressure regression model; The plantar pressure regression model is tested based on the corrected correlation coefficient, the cross-validation correlation coefficient, the corrected root mean square error and the cross-validation root mean square error.

[0059] Specifically, when establishing a plantar pressure regression model, a normality test can be first performed on the sample arch characteristic parameters of multiple testers to obtain candidate arch characteristic parameters that obey the normal distribution. The normality test can be performed based on the Shapiro-Wilk test. The probability of the normality test P<0.05 indicates that the sample arch characteristic parameters do not conform to the normal distribution, and P>0.05 indicates that the sample arch characteristic parameters conform to the normal distribution.

[0060] As shown in Table 1, the inner arch length, inner arch height, inner arch angle, inner arch index, outer arch length, outer arch height, outer arch angle, anterior arch angle, posterior arch angle, outer arch index, plantar triangle area and arch structure volume of the 13 test subjects all obeyed normal distribution (P>0.05), while the arch height ratio did not obey normal distribution (P<0.05). Here, the 13 test subjects were all healthy people, and their inner arch angle and outer arch angle were within the normal range.

[0061] Therefore, the candidate arch characteristic parameters selected from the sample arch characteristic parameters may be other arch characteristic parameters except the arch height ratio.

[0062] Thereafter, the plantar pressure regression model may be established by using the candidate arch characteristic parameters, combined with the weights of multiple testers and the plantar peak pressures of multiple testers in normal standing postures.

[0063] Afterwards, the corrected correlation coefficients (R 2 ), cross-validation correlation coefficient, corrected root mean square error, and cross-validation root mean square error; Sample Corrected Correlation Coefficient R 2 Represents the stability or fitting effect of the plantar pressure regression model, and the cross-validation correlation coefficient R 2 cv represents the test of the stability or fitting effect of the plantar pressure regression model. If the difference between the two is small, it means that there is no overfitting phenomenon in the plantar pressure regression model. Sample Corrected Correlation Coefficient R 2It is between 0 and 1. The closer it is to 1, the more stable the plantar pressure regression model is. Generally speaking, the sample correction correlation coefficient R 2 If the value is less than 0.7, it means that the stability or fitting effect of the plantar pressure regression model is very poor; if the value is between 0.7 and 0.8, it means that the stability or fitting effect of the plantar pressure regression model is moderate; if the value is greater than 0.8, it means that the stability or fitting effect of the plantar pressure regression model is good. The root mean square error (RMSEC) represents the modeling accuracy, and the root mean square error (RMSECV) represents the verification accuracy of the plantar pressure regression model. The closer the two values ​​are to 0 and the smaller the difference is, the higher the prediction accuracy of the plantar pressure regression model is, and the smaller the deviation between the measured value and the predicted value is.

[0064] R of the plantar pressure regression model 2 , R 2 The cv, RMSEC, and RMSECV were 0.9178, 0.8103, 0.0265, and 0.1375, respectively, indicating that the plantar pressure regression model has a high degree of fit, good modeling accuracy, and moderate verification accuracy, and can predict the plantar pressure distribution more accurately.

[0065] In an embodiment of the present invention, a corresponding relationship between plantar peak pressure and arch characteristic parameters is established through a plantar pressure regression model, and plantar peak pressure is directly related to plantar comfort and foot injuries, so that arch parameters can provide numerical reference data for plantar comfort, foot injuries and insole design.

[0066] On the basis of the above embodiment, the plantar pressure regression model is established based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers, and then includes: Acquire target arch characteristic parameters of a target object and the weight of the target object; Based on the target arch characteristic parameter and the weight of the target object, the plantar pressure regression model is applied to determine the target plantar pressure of the target object; Based on the target plantar pressure, a personalized insole for the target object is produced.

[0067] Specifically, after establishing the plantar pressure regression model, the plantar pressure regression model can also be applied, that is, the target arch characteristic parameters of the target object and the weight of the target object are obtained. The target object may be a user who needs to customize a personalized insole. Its target arch characteristic parameters can be determined by the steps in the arch structure digital characterization method based on the arch characteristic parameters provided in the above embodiments, which are not specifically limited here.

[0068] Afterwards, the target arch characteristic parameters and the weight of the target object may be used to apply a plantar pressure regression model to determine the target plantar pressure of the target object. The target plantar pressure may be the peak plantar pressure of the target object.

[0069] The plantar peak pressure can quantitatively describe foot discomfort and pain. The muscles and bones of the human body have reasonable tolerance stress. When the plantar peak pressure is less than this tolerance stress, it means that the foot is in the comfort zone. Excessive plantar pressure will reduce foot comfort and may cause foot injuries. Such as corns, plantar fasciitis, arch collapse, etc. Scientific and reasonable insole design can reduce the risk of foot injuries by reducing pressure in certain parts. At the same time, for some foot problems, such as high arches or flat feet, customized insoles can effectively control the peak pressure of the plantar, which helps to relieve symptoms and prevent injuries. The numerical quantitative characterization of plantar pressure can guide the design and selection of insoles. Suitable insoles can provide support and relief by dispersing plantar pressure, thereby reducing the risk of foot pain and injury. Plantar pressure can be optimized by adjusting different materials, structures and thicknesses to meet individual needs. For example, cushioning materials or support structures are added to high-pressure areas to reduce pressure and reduce the risk of injury. In summary, the evaluation of plantar peak pressure has important guiding significance for improving foot comfort, preventing foot injuries and optimizing insole design. By scientifically and rationally considering the plantar pressure, insoles that are more suitable for individual needs can be customized to improve foot health and comfort.

[0070] Therefore, using the target plantar pressure to produce personalized insoles for the target object can optimize the plantar pressure distribution, improve foot comfort, and effectively prevent foot injuries.

[0071] On the basis of the above embodiment, the method of making a personalized insole for the target object based on the target plantar pressure includes: determining a material thickness of a forefoot region of the personalized insole based on the target plantar pressure; Based on the material thickness, the personalized insole is manufactured.

[0072] Specifically, when making personalized insoles for a target object, the target plantar pressure can be used to first determine the material thickness of the forefoot area of ​​the personalized insole. For example, if the target plantar pressure is 50 KPa, the material thickness of the forefoot area of ​​the personalized insole can be determined to be 2 mm. This can provide more support and cushioning to cope with the high pressure in the forefoot area.

[0073] Here, the personalized insole can be a hexagonal honeycomb structure composed of a cushioning material and a supporting material. The cushioning material is medical grade silicone gel, with a compression modulus of 2MPa and an absorption rate of 60%. This material has good cushioning properties and can effectively absorb and disperse the pressure on the sole of the foot. The supporting material is EVA material with a hardness of Shore C 40 degrees and a density of 0.3g / cm³.

[0074] The side length of the hexagonal honeycomb structure may be 5 mm. The hexagonal honeycomb structure may have good strength and stability.

[0075] The material thickness of the personalized insole is 1mm except for the forefoot area, and the side length of the hexagonal honeycomb structure can still be 5mm to maintain the comfort and stability of the entire insole.

[0076] Personalized insoles can be designed with a curved shape to ensure a better fit and comfort.

[0077] On the basis of the above embodiment, the method of making a personalized insole for the target object based on the target plantar pressure includes: Based on the target plantar pressure, the personalized insole is manufactured using 3D printing technology.

[0078] Specifically, when making personalized insoles for target objects, the target plantar pressure can be used and 3D printing technology can be used to make personalized insoles. The size, thickness and curvature of the honeycomb structure can be precisely controlled to optimize the comfort and support of the personalized insoles, and the precise control and customized design of the honeycomb structure can be achieved.

[0079] In summary, the digital characterization method based on arch characteristic parameters provided by the embodiment of the present invention can realize accurate digital characterization. Through three-dimensional scanning and feature point extraction, it can comprehensively and accurately describe the arch structure, overcoming the limitations of traditional methods. Personalized insole design can be realized. Based on the plantar pressure regression model, customized insole design can be provided for each individual, significantly improving comfort and reducing foot injuries. The scientific optimization design of personalized insoles can be realized, and the precise control of the insole structure can be achieved through 3D printing technology, so that personalized insoles can effectively relieve the pressure in high-pressure areas and reduce foot discomfort while meeting the plantar comfort.

[0080] like Figure 5 As shown, based on the above embodiments, an embodiment of the present invention provides a digital representation device for arch structure based on arch characteristic parameters, including: A three-dimensional scanning module 51 is used to perform three-dimensional scanning on a human foot to obtain a foot bone model; A key feature point determination module 52, used to determine the key feature points of the arch based on the foot skeleton model; A structure construction module 53, used to construct a longitudinal arch triangle and a three-dimensional space geometric body of the arch structure based on the key feature points of the arch; The characteristic parameter determination module 54 is used to determine the arch characteristic parameters of the arch structure based on the longitudinal arch triangle and the three-dimensional spatial geometry. The arch characteristic parameters include the longitudinal arch length parameter, the longitudinal arch angle parameter and the longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

[0081] On the basis of the above-mentioned embodiment, in the digital representation device of the arch structure based on the arch characteristic parameters provided in the embodiment of the present invention, the longitudinal arch triangle includes an inner arch triangle and an outer arch triangle; The longitudinal arch length parameters include the inner arch length and the inner arch height in the inner arch triangle, and the outer arch length and the outer arch height in the outer arch triangle; The longitudinal arch angle parameters include the medial longitudinal arch angle in the medial arch triangle, and the lateral longitudinal arch angle, the anterior arch angle and the posterior arch angle in the lateral arch triangle; The longitudinal arch ratio parameters include the medial longitudinal arch index within the medial arch triangle, the lateral longitudinal arch index within the lateral arch triangle, and the arch height index.

[0082] On the basis of the above-mentioned embodiment, the arch structure digital characterization device based on arch characteristic parameters provided in the embodiment of the present invention further includes a regression module for: Determine sample arch characteristic parameters of multiple testers; Establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers; Wherein, the plantar pressure regression model is used to predict plantar pressure distribution.

[0083] On the basis of the above-mentioned embodiment, in the digital representation device of the arch structure based on the arch characteristic parameters provided in the embodiment of the present invention, the regression model is specifically used for: Performing a normality test on the sample arch characteristic parameters of the plurality of testers to obtain candidate arch characteristic parameters that obey a normal distribution; Based on the candidate arch characteristic parameters, combined with the weights of the multiple testers and the peak plantar pressures of the multiple testers in normal standing postures, establishing the plantar pressure regression model; Respectively calculating the corrected correlation coefficient, cross-validation correlation coefficient, corrected root mean square error and cross-validation root mean square error of the plantar pressure regression model; The plantar pressure regression model is tested based on the corrected correlation coefficient, the cross-validation correlation coefficient, the corrected root mean square error and the cross-validation root mean square error.

[0084] On the basis of the above-mentioned embodiment, the arch structure digital characterization device based on arch characteristic parameters provided in the embodiment of the present invention further includes an insole making module for: Acquire target arch characteristic parameters of a target object and the weight of the target object; Based on the target arch characteristic parameter and the weight of the target object, the plantar pressure regression model is applied to determine the target plantar pressure of the target object; Based on the target plantar pressure, a personalized insole for the target object is produced.

[0085] On the basis of the above-mentioned embodiments, in the digital representation device of the arch structure based on the arch characteristic parameters provided in the embodiments of the present invention, the insole making module is specifically used for: determining a material thickness of a forefoot region of the personalized insole based on the target plantar pressure; Based on the material thickness, the personalized insole is manufactured.

[0086] On the basis of the above-mentioned embodiments, in the digital representation device of the arch structure based on the arch characteristic parameters provided in the embodiments of the present invention, the insole making module is further specifically used for: Based on the target plantar pressure, the personalized insole is manufactured using 3D printing technology.

[0087] Specifically, the functions of each module in the digital characterization device for arch structure based on arch characteristic parameters provided in the embodiment of the present invention correspond one-to-one to the operating procedures of each step in the above-mentioned method embodiment, and the effects achieved are also consistent. Please refer to the above-mentioned embodiment for details, and no further details will be given in the embodiment of the present invention.

[0088] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6 As shown, the electronic device may include: a processor (Processor) 610, a communication interface (Communications Interface) 620, a memory (Memory) 630 and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the arch structure digital characterization method based on the arch characteristic parameters provided in the above embodiments.

[0089] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0090] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for digital characterization of the arch structure based on the arch characteristic parameters provided in the above-mentioned embodiments.

[0091] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the method for digitally characterizing the arch structure based on arch characteristic parameters provided in the above-mentioned embodiments.

[0092] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0093] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for digitally characterizing the arch structure based on arch characteristic parameters, characterized in that: include: Perform a three-dimensional scan of the human foot to obtain a foot bone model; Based on the foot skeleton model, determining key feature points of the arch of the foot; Based on the key feature points of the arch, a longitudinal arch triangle and a three-dimensional geometric body of the arch structure are constructed; Based on the longitudinal arch triangle and the three-dimensional spatial geometry, the arch characteristic parameters of the arch structure are determined. The arch characteristic parameters include a longitudinal arch length parameter, a longitudinal arch angle parameter and a longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

2. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 1, characterized in that: The longitudinal arch triangle includes an inner arch triangle and an outer arch triangle; The longitudinal arch length parameters include the inner arch length and the inner arch height in the inner arch triangle, and the outer arch length and the outer arch height in the outer arch triangle; The longitudinal arch angle parameters include the medial longitudinal arch angle in the medial arch triangle, and the lateral longitudinal arch angle, the anterior arch angle and the posterior arch angle in the lateral arch triangle; The longitudinal arch ratio parameters include the medial longitudinal arch index within the medial arch triangle, the lateral longitudinal arch index within the lateral arch triangle, and the arch height index.

3. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 1, characterized in that: Determining the arch characteristic parameters of the arch structure based on the longitudinal arch triangle and the three-dimensional space geometry, then comprising: Determine sample arch characteristic parameters of multiple testers; Establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers; Wherein, the plantar pressure regression model is used to predict plantar pressure distribution.

4. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 3, characterized in that: The step of establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers includes: Performing a normality test on the sample arch characteristic parameters of the plurality of testers to obtain candidate arch characteristic parameters that obey a normal distribution; Based on the candidate arch characteristic parameters, combined with the weights of the multiple testers and the peak plantar pressures of the multiple testers in normal standing postures, establishing the plantar pressure regression model; Respectively calculating the corrected correlation coefficient, cross-validation correlation coefficient, corrected root mean square error and cross-validation root mean square error of the plantar pressure regression model; The plantar pressure regression model is tested based on the corrected correlation coefficient, the cross-validation correlation coefficient, the corrected root mean square error and the cross-validation root mean square error.

5. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 3, characterized in that: The step of establishing a plantar pressure regression model based on the sample arch characteristic parameters of the multiple testers and the weights of the multiple testers comprises: Acquire target arch characteristic parameters of a target object and the weight of the target object; Based on the target arch characteristic parameter and the weight of the target object, the plantar pressure regression model is applied to determine the target plantar pressure of the target object; Based on the target plantar pressure, a personalized insole for the target object is produced.

6. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 5, characterized in that: The method of manufacturing a personalized insole for the target object based on the target plantar pressure includes: determining a material thickness of a forefoot region of the personalized insole based on the target plantar pressure; Based on the material thickness, the personalized insole is manufactured.

7. The method for digitally characterizing the arch structure based on arch characteristic parameters according to claim 5, characterized in that: The method of manufacturing a personalized insole for the target object based on the target plantar pressure includes: Based on the target plantar pressure, the personalized insole is manufactured using 3D printing technology.

8. A digital representation device for arch structure based on arch characteristic parameters, characterized in that: include: A three-dimensional scanning module is used to perform three-dimensional scanning on the human foot to obtain a foot bone model; A key feature point determination module, used to determine the key feature points of the arch based on the foot skeleton model; A structure construction module, used to construct a longitudinal arch triangle and a three-dimensional spatial geometry of the arch structure based on the key feature points of the arch; A characteristic parameter determination module is used to determine the arch characteristic parameters of the arch structure based on the longitudinal arch triangle and the three-dimensional spatial geometry, wherein the arch characteristic parameters include a longitudinal arch length parameter, a longitudinal arch angle parameter and a longitudinal arch ratio parameter, as well as the plantar triangle area and the arch structure volume.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for digitally representing the arch structure based on arch characteristic parameters as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for digitally representing the arch structure based on arch characteristic parameters as described in any one of claims 1 to 7 is implemented.

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