Toe dynamic data-based ultralight toddler shoe toe cap model design method and device
By acquiring and analyzing the walking dynamic data of the toe shoe and adjusting the toe thickness to optimize the bending angle and compression performance, the problem that traditional designs cannot capture dynamic changes is solved, achieving higher comfort and support.
Patent Information
- Application Number
- CN202510001151.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-02
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2045-01-02
AI Technical Summary
Traditional toddler shoe designs rely on static data and cannot effectively capture the dynamic changes of the shoes during walking, resulting in the design of the toe and sole that cannot match the actual use situation, affecting comfort and support.
By obtaining the walking dynamic data of the toe shoe, calculating the balance of toe bend angle and midsole compression deformation, adjusting the toe thickness to optimize the bending angle and compression performance, a new toe shoe model is generated.
It realizes that toddler shoes can better adapt to dynamic changes during walking, improve comfort and support, ensure coordination between the toe and the midsole, and reduce foot fatigue and discomfort.
Smart Images

Figure CN119808415A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of computer-aided design, and in particular relates to a method and a device for designing a toe model of an ultralight toddler shoe based on toe dynamic data. Background Art
[0002] Patent No. CN114996786B, entitled "Method and Device for Designing Shoe Model Based on Foot Dynamic Data", proposes a shoe model design method. The shoes designed and produced rely on static data (such as foot shape data, static pressure distribution, etc.) to determine the shape and thickness of the shoes. Although these static designs can meet some needs, they cannot reflect the dynamic changes of the shoes during actual walking. In addition, the use of toddler shoes is dynamic. The bending and compression of the shoes during walking will change with the change of gait. Traditional methods cannot capture these dynamic changes, resulting in the design of the toe and sole often not matching the actual use. For example, during walking, the bending angle of the toe and the compression of the midsole will change as the steps progress, and traditional static designs cannot be adjusted according to these changes.
[0003] The design of learning shoes needs to ensure the interaction and coordination between the toe and the sole, especially the coordination between the toe bending and the midsole compression. The bending angle of the toe affects the range of motion and comfort of the toes, while the compressibility of the midsole determines the elasticity and support of the sole. If the difference between the bending angle of the toe and the compression performance of the midsole is too large, it may lead to the following problems: the bending angle of the toe is insufficient and the midsole is compressed too much, the sole cannot provide enough support, resulting in foot fatigue during walking, prone to discomfort or pain, and affecting the stability and comfort of gait. Summary of the invention
[0004] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to propose a design method for the toe model of an ultra-light toddler shoe based on toe dynamic data, which can optimize the toe thickness, adjust the toe bending angle and the compression performance of the midsole, so that it can better adapt to the walking process of children;
[0005] The second object of the present invention is to provide a device for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data.
[0006] To achieve the above-mentioned purpose, the first aspect of the present invention provides a method for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data to determine the amount of midsole compression;
[0007] S100, obtaining walking dynamic data of the toddler shoes and the thickness of the toe of the toddler shoes;
[0008] S200, calculating a balance amount of a toe bending angle and a balance amount of a toe midsole compression deformation according to walking dynamic data of the toddler shoe;
[0009] S300, calculates the appropriate thickness of the toe box through the toe box thickness of the toe box, the balance of the toe box bending angle and the balance of the compression deformation of the toe box midsole;
[0010] S400, generates a new toddler shoe model through moderate thickness of the toe box.
[0011] According to the design method of the embodiment of the present invention, the toe thickness can be optimized to adjust the bending angle of the toe and the compression performance of the midsole, so that the toe can better adapt to the walking process of children.
[0012] Further, in step S100, the walking dynamic data of the toddler shoes and the toe thickness of the toddler shoes are obtained, wherein the walking dynamic data of the toddler shoes include the toe bending angle and the midsole compression amount, including:
[0013] The toddler shoes are designed and produced by the shoe body model design method proposed in patent number CN114996786B entitled "Method and device for designing shoe body model based on dynamic data of foot". For the toddler shoes produced by this method, a single dynamic walking video of the toddler shoes at different angles for 5 seconds is shot, and the time interval T of the video frames is set to [0.1] seconds. This time interval is used to ensure that each frame of the image reflects the dynamic changes of the toddler shoes during walking. The shot walking video is frame-processed according to the time interval T to obtain multiple static images of the toddler shoes during walking, and these images correspond to the dynamic states at different time points; the walking dynamic data of the toddler shoes is obtained by image recognition of the static images of the toddler shoes during movement, wherein the walking dynamic data of the toddler shoes includes the bending angle of the toe and the compression amount of the midsole (the compression amount of the midsole or the compression deformation amount of the midsole);
[0014] Furthermore, the thickness of the toe of the learning shoe is obtained, wherein the method for obtaining the thickness of the toe of the learning shoe is to obtain it through the thickness parameter of the toe of the shoe body model of the learning shoe.
[0015] Since the design of learning shoes needs to ensure the interaction and coordination between the toe and the sole, especially the coordination between the bending of the toe and the compression of the midsole; the bending angle of the toe affects the range of motion and comfort of the toes, while the compressibility of the midsole determines the elasticity and support of the sole. If the difference between the bending angle of the toe and the compression performance of the midsole is too large, it may cause the following problems: the bending angle of the toe is insufficient and the midsole is compressed too much, the sole cannot provide sufficient support, resulting in foot fatigue during walking, prone to discomfort or pain, and affecting the stability and comfort of gait. In order to solve the above problems, the present invention proposes step S200;
[0016] Further, in step S200, calculating the balance amount of the toe bending angle and the balance amount of the toe midsole compression deformation according to the walking dynamic data of the toddler shoe includes:
[0017] Let Head(Tk) be the bending angle of the toe of the toddler shoe at the kth time interval, SOL(Tk) be the midsole compression of the toddler shoe at the kth time interval, where Tk = [(k-1)*T, k*T], k = 1, 2, ..., C, C = 50; obtain the maximum value of Head(Tk) and record it as Head(Tm), record Tm as the bending time, obtain the maximum value of SOL(Tk) and record it as SOL(Tx), record Tx as the compression time, m∈[1, C], x∈[1, C];
[0018] Calculate the balance of compression deformation of the toe midsole and the balance of the toe bending angle;
[0019] When walking in toddler shoes, first determine the maximum midsole compression SOL (Tm), which is the midsole compression value when the toe bending angle is the largest (i.e., at time Tm); calculate the sum of the differences between the compression SOL (Tk) and SOL (Tm) from the 1st to the Cth time point as the difference sum, and use 1 minus the difference sum divided by the product of the time interval number C and SOL (Tm) as the correction ratio, and multiply the correction ratio by SOL (Tm) to obtain the toe midsole compression deformation balance SOLK. The mathematical expression of SOLK is:
[0020]
[0021] Among them, the principles of the balance of compression deformation of the toe midsole and the balance of the toe bending angle are based on the dynamic performance of the toddler shoes during walking, reflecting the interactive relationship between the toe and the midsole. The balance of compression deformation of the toe midsole analyzes the compression of the midsole at different time points during walking, especially when the toe bending angle reaches the maximum (bending time), and calculates the difference between the compression at each moment and the maximum midsole compression. Adjusting the thickness by the balance of compression deformation of the toe midsole can ensure that when the toe bending angle reaches the maximum value, the self-stress of the sole is balanced with the external load without causing irreversible physical bending, that is, the stability of the shoe body.
[0022] Furthermore, the toe bending angle balance HeadK is calculated by the toe midsole compression deformation balance, and this angle is calculated based on the maximum bending angle Head (Tm) and the toe midsole compression deformation balance SOLK;
[0023] The calculation steps of the toe bending angle balance value HeadK include:
[0024] The maximum bending angle Head (Tm) is taken as the reference value and multiplied by the balance ratio, which is recorded as HeadK, where the balance ratio is the ratio between the compression deformation balance of the toe midsole SOLK and SOL (Tx). The calculation formula of the toe bending angle balance HeadK is:
[0025]
[0026] Among them, the balance of the toe bending angle is determined by the ratio between the maximum bending angle and the corrected midsole compression deformation. It measures the balance between the degree of toe bending and the midsole compression performance. If the difference between the bending and compression of the toe is too large, it may mean that the thickness of the toe is insufficient and cannot effectively support the foot; conversely, if the difference between the bending and compression is small, the toe may be too thick, affecting comfort. The combination of the two helps to optimize the toe thickness through dynamic data to achieve the best comfort and support.
[0027] The beneficial effects of this step are as follows: Step S200 calculates the walking dynamic data of the toddler shoes to accurately obtain the balance of the toe bending angle and the balance of the compression deformation of the toe midsole, thereby providing a scientific basis for the design of the toe thickness; by shooting the dynamic video of the toddler shoes during walking, and combining image recognition technology to extract dynamic data such as the toe bending angle and the midsole compression, the dynamic changes of the toe and the sole at different time points can be quantitatively reflected; by comparing the maximum bending angle and the maximum midsole compression, the balance of the toe bending angle and the balance of the compression deformation of the toe midsole are calculated, and then the timing relationship between the toe bending and compression is analyzed, which can ensure that the toddler shoes can effectively support the dynamic changes of the foot and provide a comfortable walking experience. Compared with the traditional static design method, S200 can accurately capture the interaction between the toe and the footsteps through dynamic data-driven design optimization, which can meet the user's comfort and support needs.
[0028] Since the shoe body model design method proposed in patent number CN114996786B, entitled "Method and device for designing shoe body model based on dynamic data of foot", designs and produces toddler shoes and relies on static data (such as foot shape data, static pressure distribution, etc.) to determine the shape and thickness of the shoes, although these static designs can meet some needs, they cannot reflect the dynamic changes of the shoes during actual walking, and the use process of toddler shoes is dynamic, and the bending and compression of the shoes during walking will change with the change of gait. Traditional methods cannot capture these dynamic changes, resulting in the design of the toe and sole often not matching the actual use. For example, during walking, the bending angle of the toe and the compression of the midsole will change with the advancement of the steps, and the traditional static design cannot be adjusted according to these changes. In order to solve the above problem, the present invention proposes step S300.
[0029] Furthermore, in step S300, the appropriate thickness of the toe is calculated by the toe thickness of the learning shoe, the toe bending angle balance and the toe midsole compression deformation balance: for each time interval Tk, the angle offset difference HAK(Tk)=|Head(Tk)+HeaK-Head(Tx)|÷(HeaK×3) is calculated, wherein || is an absolute value, Head(Tk) is the toe bending angle of the learning shoe at the kth time interval, HeaK is the bending angle balance, and Head(Tx) is the toe bending angle at the compression time; all angle offset differences are added and divided by C to obtain the thickness balance ratio β, and the toe thickness of the learning shoe is denoted as U. When β is greater than 0.2, the appropriate thickness of the toe Uadjusted is U×(1+β-0.2), and when β is less than 0.2, the appropriate thickness of the toe Uadjusted is U×(1-β).
[0030] Among them, the angle deviation difference HAK(Tk) is the difference between the actual toe bending angle Head(Tk) and the toe bending angle HeaK at the compression time in each time interval (Tk) of the toddler shoe. If the angle deviation difference is too large, it means that there is a problem with the toe design, resulting in insufficient support or unsuitable for foot dynamics.
[0031] The thickness balance ratio β reflects the relationship between the toe bending angle and the midsole compression. When β is greater than 0.2: it means that the difference between the toe bending angle and the compression is large, indicating that the thickness of the toe is too small and cannot effectively support the dynamic bending and deformation of the toe. When β is less than 0.2: it means that the difference between the toe bending angle and the compression is small, the thickness of the toe is too large, or the dynamic support of the toe is too strong, which does not meet the comfort requirements. The thickness of the toe needs to be reduced to make it more flexible.
[0032] S400, generates a new toddler shoe model through moderate thickness of the toe box;
[0033] The appropriate thickness Uadjusted of the toe of the learning shoe is used as the toe thickness parameter and applied to the shoe body model design to generate a new learning shoe body model.
[0034] Preferably, the geometry of the toe cap is adjusted according to the appropriate thickness, especially the curve and thickness distribution of the toe cap to ensure that it can support the bending of the foot without hindering normal walking movements.
[0035] Preferably, based on the result of the appropriate thickness adjustment and in combination with other walking dynamic data (such as gait, walking frequency, etc.), the overall design of the shoe body is adjusted through computer-aided design software to optimize the balance of the toe and the sole, ensuring that the comfort and support of the shoe can achieve the expected results.
[0036] To achieve the above-mentioned purpose, the second aspect embodiment of the present invention further proposes a device for designing an ultra-light toddler shoe toe model based on toe dynamic data, the device for designing an ultra-light toddler shoe toe model based on toe dynamic data comprising: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in a method for designing an ultra-light toddler shoe toe model based on toe dynamic data when executing the computer program, the device for designing an ultra-light toddler shoe toe model based on toe dynamic data running on a desktop computer, a notebook, a PDA and a computing device in a cloud data center.
[0037] By implementing an ultra-light toddler shoe toe model design method based on toe dynamic data through an ultra-light toddler shoe toe model design device based on toe dynamic data, the toe thickness can be optimized, the toe bending angle and the compression performance of the midsole can be adjusted, so that the shoe can better adapt to the walking process of children. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1 Shown is a flow chart of a method for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data;
[0039] Figure 2 Shown is a structural diagram of a device for designing a toe model of an ultra-light toddler shoe based on toe dynamic data. DETAILED DESCRIPTION
[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.
[0041] Figure 1 Shown is a flow chart of a method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data.
[0042] Reference Figure 1 The present invention proposes a method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data, the method comprising the following steps:
[0043] S100, obtaining walking dynamic data of the toddler shoes and the thickness of the toe of the toddler shoes;
[0044] S200, calculating a balance amount of a toe bending angle and a balance amount of a toe midsole compression deformation according to walking dynamic data of the toddler shoe;
[0045] S300, calculates the appropriate thickness of the toe box through the toe box thickness of the toe box, the balance of the toe box bending angle and the balance of the compression deformation of the toe box midsole;
[0046] S400, generates a new toddler shoe model through moderate thickness of the toe box.
[0047] According to the design method of the embodiment of the present invention, the toe thickness can be optimized to adjust the bending angle of the toe and the compression performance of the midsole, so that the toe can better adapt to the walking process of children.
[0048] Further, in step S100, the walking dynamic data of the toddler shoes and the toe thickness of the toddler shoes are obtained, wherein the walking dynamic data of the toddler shoes include the toe bending angle and the midsole compression amount, including:
[0049] The toddler shoes are designed and produced by the shoe body model design method proposed in patent number CN114996786B entitled "Method and device for designing shoe body model based on dynamic data of foot". For the toddler shoes produced by this method, a single dynamic walking video of the toddler shoes at different angles for 5 seconds is shot, and the time interval T of the video frames is set to [0.1] seconds. This time interval is used to ensure that each frame of the image reflects the dynamic changes of the toddler shoes during walking. The shot walking video is frame-processed according to the time interval T to obtain multiple static images of the toddler shoes during walking, and these images correspond to the dynamic states at different time points; the walking dynamic data of the toddler shoes is obtained by image recognition of the static images of the toddler shoes during movement, wherein the walking dynamic data of the toddler shoes includes the bending angle of the toe and the compression amount of the midsole (the compression amount of the midsole or the compression deformation amount of the midsole);
[0050] Furthermore, the thickness of the toe of the learning shoe is obtained, wherein the method for obtaining the thickness of the toe of the learning shoe is to obtain it through the thickness parameter of the toe of the shoe body model of the learning shoe.
[0051] Since the design of learning shoes needs to ensure the interaction and coordination between the toe and the sole, especially the coordination between the bending of the toe and the compression of the midsole; the bending angle of the toe affects the range of motion and comfort of the toes, while the compressibility of the midsole determines the elasticity and support of the sole. If the difference between the bending angle of the toe and the compression performance of the midsole is too large, it may cause the following problems: the bending angle of the toe is insufficient and the midsole is compressed too much, the sole cannot provide sufficient support, resulting in foot fatigue during walking, prone to discomfort or pain, and affecting the stability and comfort of gait. In order to solve the above problems, the present invention proposes step S200;
[0052] Further, in step S200, calculating the balance amount of the toe bending angle and the balance amount of the toe midsole compression deformation according to the walking dynamic data of the toddler shoe includes:
[0053] Let Head(Tk) be the bending angle of the toe of the toddler shoe at the kth time interval, SOL(Tk) be the midsole compression of the toddler shoe at the kth time interval, where Tk = [(k-1)*T, k*T], k = 1, 2, ..., C, C = 50; obtain the maximum value of Head(Tk) and record it as Head(Tm), record Tm as the bending time, obtain the maximum value of SOL(Tk) and record it as SOL(Tx), record Tx as the compression time, m∈[1, C], x∈[1, C];
[0054] Calculate the balance of compression deformation of the toe midsole and the balance of the toe bending angle;
[0055] When walking in toddler shoes, first determine the maximum midsole compression SOL (Tm), which is the midsole compression value when the toe bending angle is the largest (i.e., at time Tm); calculate the sum of the differences between the compression SOL (Tk) and SOL (Tm) from the 1st to the Cth time point as the difference sum, and use 1 minus the difference sum divided by the product of the time interval number C and SOL (Tm) as the correction ratio, and multiply the correction ratio by SOL (Tm) to obtain the toe midsole compression deformation balance SOLK. The mathematical expression of SOLK is:
[0056]
[0057] Among them, the principles of the balance of compression deformation of the toe midsole and the balance of the toe bending angle are based on the dynamic performance of the toddler shoes during walking, reflecting the interactive relationship between the toe and the midsole. The balance of compression deformation of the toe midsole analyzes the compression of the midsole at different time points during walking, especially when the toe bending angle reaches the maximum (bending time), and calculates the difference between the compression at each moment and the maximum midsole compression. Adjusting the thickness by the balance of compression deformation of the toe midsole can ensure that when the toe bending angle reaches the maximum value, the self-stress of the sole is balanced with the external load without causing irreversible physical bending, that is, the stability of the shoe body.
[0058] Furthermore, the toe bending angle balance HeadK is calculated by the toe midsole compression deformation balance, and this angle is calculated based on the maximum bending angle Head (Tm) and the toe midsole compression deformation balance SOLK;
[0059] The calculation steps of the toe bending angle balance value HeadK include:
[0060] The maximum bending angle Head (Tm) is taken as the reference value and multiplied by the balance ratio, which is recorded as HeadK, where the balance ratio is the ratio between the compression deformation balance of the toe midsole SOLK and SOL (Tx). The calculation formula of the toe bending angle balance HeadK is:
[0061]
[0062] Among them, the balance of the toe bending angle is determined by the ratio between the maximum bending angle and the corrected midsole compression deformation. It measures the balance between the degree of toe bending and the midsole compression performance. If the difference between the bending and compression of the toe is too large, it may mean that the thickness of the toe is insufficient and cannot effectively support the foot; conversely, if the difference between the bending and compression is small, the toe may be too thick, affecting comfort. The combination of the two helps to optimize the toe thickness through dynamic data to achieve the best comfort and support.
[0063] The beneficial effects of this step are as follows: Step S200 calculates the walking dynamic data of the toddler shoes to accurately obtain the balance of the toe bending angle and the balance of the compression deformation of the toe midsole, thereby providing a scientific basis for the design of the toe thickness; by shooting the dynamic video of the toddler shoes during walking, and combining image recognition technology to extract dynamic data such as the toe bending angle and the midsole compression, the dynamic changes of the toe and the sole at different time points can be quantitatively reflected; by comparing the maximum bending angle and the maximum midsole compression, the balance of the toe bending angle and the balance of the compression deformation of the toe midsole are calculated, and then the timing relationship between the toe bending and compression is analyzed, which can ensure that the toddler shoes can effectively support the dynamic changes of the foot and provide a comfortable walking experience. Compared with the traditional static design method, S200 can accurately capture the interaction between the toe and the footsteps through dynamic data-driven design optimization, which can meet the user's comfort and support needs.
[0064] Since the shoe body model design method proposed in patent number CN114996786B, entitled "Method and device for designing shoe body model based on dynamic data of foot", designs and produces toddler shoes and relies on static data (such as foot shape data, static pressure distribution, etc.) to determine the shape and thickness of the shoes, although these static designs can meet some needs, they cannot reflect the dynamic changes of the shoes during actual walking, and the use process of toddler shoes is dynamic, and the bending and compression of the shoes during walking will change with the change of gait. Traditional methods cannot capture these dynamic changes, resulting in the design of the toe and sole often not matching the actual use. For example, during walking, the bending angle of the toe and the compression of the midsole will change with the advancement of the steps, and the traditional static design cannot be adjusted according to these changes. In order to solve the above problem, the present invention proposes step S300.
[0065] Furthermore, in step S300, the appropriate thickness of the toe is calculated by the toe thickness of the learning shoe, the toe bending angle balance and the toe midsole compression deformation balance: for each time interval Tk, the angle offset difference HAK(Tk)=|Head(Tk)+HeaK-Head(Tx)|÷(HeaK×3) is calculated, wherein || is an absolute value, Head(Tk) is the toe bending angle of the learning shoe at the kth time interval, HeaK is the bending angle balance, and Head(Tx) is the toe bending angle at the compression time; all angle offset differences are added and divided by C to obtain the thickness balance ratio β, and the toe thickness of the learning shoe is denoted as U. When β is greater than 0.2, the appropriate thickness of the toe Uadjusted is U×(1+β-0.2), and when β is less than 0.2, the appropriate thickness of the toe Uadjusted is U×(1-β).
[0066] Among them, the angle deviation difference HAK(Tk) is the difference between the actual toe bending angle Head(Tk) and the toe bending angle HeaK at the compression time in each time interval (Tk) of the toddler shoe. If the angle deviation difference is too large, it means that there is a problem with the toe design, resulting in insufficient support or unsuitable for foot dynamics.
[0067] The thickness balance ratio β reflects the relationship between the toe bending angle and the midsole compression. When β is greater than 0.2: it means that the difference between the toe bending angle and the compression is large, indicating that the thickness of the toe is too small and cannot effectively support the dynamic bending and deformation of the toe. When β is less than 0.2: it means that the difference between the toe bending angle and the compression is small, the thickness of the toe is too large, or the dynamic support of the toe is too strong, which does not meet the comfort requirements. The thickness of the toe needs to be reduced to make it more flexible.
[0068] S400, generates a new toddler shoe model through moderate thickness of the toe box;
[0069] The appropriate thickness Uadjusted of the toe of the learning shoe is used as the toe thickness parameter and applied to the shoe body model design to generate a new learning shoe body model.
[0070] Preferably, the geometry of the toe cap is adjusted according to the appropriate thickness, especially the curve and thickness distribution of the toe cap to ensure that it can support the bending of the foot without hindering normal walking movements.
[0071] Preferably, based on the result of the appropriate thickness adjustment and in combination with other walking dynamic data (such as gait, walking frequency, etc.), the overall design of the shoe body is adjusted through computer-aided design software to optimize the balance of the toe and the sole, ensuring that the comfort and support of the shoe can achieve the expected results.
[0072] The experimental design is as follows:
[0073] Purpose of the experiment: To evaluate the advantages of dynamic data optimization design of toddler shoes by comparing the performance of toddler shoes made by traditional design method and those made by dynamic data optimization design method in terms of comfort, support, gait stability, etc.
[0074] Experimental preparation: Experimental group: Toddler shoes optimized and designed based on the ultra-light toddler shoe toe model design method based on toe dynamic data proposed in the present invention. Control group: Toddler shoes designed and produced by the shoe body model design method proposed in patent number CN114996786B entitled "Method and device for shoe body model design based on foot dynamic data".
[0075] Equipment and tools: Motion tracking equipment: used to capture dynamic data of walking in toddler shoes. Pressure distribution test pad: used to test the pressure distribution of the sole during gait; Gait analyzer: used to record gait stability and monitor the change of center of gravity during walking; Video equipment: used to shoot videos of toddler shoes during walking and capture dynamic changes.
[0076] Participants: 20 volunteers (10 males, 10 females), aged 5-12 years old. Each volunteer was required to wear the shoes of the experimental group and the control group for walking test.
[0077] Testing and data collection during the experiment:
[0078] 1. Subjective evaluation of comfort and support: Volunteers were asked to walk for 10 minutes wearing the shoes of the experimental group and the control group. The comfort and support of each volunteer were evaluated during the test. Each volunteer scored the shoes based on personal feelings, with the score ranging from 1 to 10 points.
[0079] 2. Gait analysis: Have volunteers wear two types of walking shoes for a 5-minute gait test. Use a gait analysis instrument to record gait stability, and use a pressure test pad to analyze the pressure distribution on the sole. The center of gravity change and gait stability scores will be used as evaluation indicators for the dynamic adaptability of the shoes.
[0080] 3. Pressure distribution test: Use a pressure sensor to test the pressure distribution of the sole in contact with the ground during walking, and evaluate the support and comfort of the sole.
[0081] Statistics and analysis of experimental results:
[0082] The results of the experimental group and the control group were statistically analyzed to compare the differences between the two groups in terms of comfort, support, gait stability, pressure distribution, center of gravity change, etc. Statistical software was used to analyze the data and evaluate the advantages and disadvantages of dynamic data-driven toddler shoe design and traditional design methods;
[0083] The statistical results are as follows:
[0084]
[0085] The experimental group was significantly better than the control group in terms of comfort, support, and gait stability. The pressure distribution of the experimental group's shoes was more uniform, which could effectively control the change of the center of gravity and provide better gait support. The optimization design method based on dynamic data effectively improved the comfort and support of the toddler shoes, especially in the balance of the toe bending angle and the midsole compression deformation.
[0086] Reference Figure 2 The present invention also proposes a device 20 for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data. The device 20 for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data comprises: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in a method for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data are implemented. The device 20 for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data runs on a computing device such as a desktop computer, a notebook, a PDA, and a cloud data center.
[0087] The design device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to run in the following units of the design device:
[0088] A collection unit 21 is used to obtain walking dynamic data of the learning shoes and the thickness of the toe of the learning shoes;
[0089] A conversion unit 22, used for calculating a balance amount of a toe bending angle and a balance amount of a toe midsole compression deformation according to the walking dynamic data of the toddler shoe;
[0090] A calculation unit 23, used for calculating the appropriate thickness of the toe box according to the toe box thickness of the learning shoe, the balance amount of the toe box bending angle and the balance amount of the compression deformation of the toe box midsole;
[0091] The generating unit 24 is used to generate a new toddler shoe body model according to the appropriate thickness of the toe cap.
[0092] The device for designing the toe model of an ultralight toddler shoe based on toe dynamic data can be run in computing devices such as desktop computers, notebooks, PDAs, and cloud servers. The device for designing the toe model of an ultralight toddler shoe based on toe dynamic data can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the example is merely an example of a device for designing the toe model of an ultralight toddler shoe based on toe dynamic data 20, and does not constitute a limitation on a device for designing the toe model of an ultralight toddler shoe based on toe dynamic data 20, which can include more or fewer components than the example, or a combination of certain components, or different components, for example, the device for designing the toe model of an ultralight toddler shoe based on toe dynamic data can also include input and output devices, network access devices, buses, etc.
[0093] By executing the ultra-light toddler shoe toe model design method based on toe dynamic data through the ultra-light toddler shoe toe model design device 20 based on toe dynamic data, the toe thickness can be optimized, the toe bending angle and the compression performance of the midsole can be adjusted, so that it can better adapt to the walking process of children.
[0094] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution device, device or equipment (such as a computer-based device, a device including a processor, or other device that can fetch instructions from an instruction execution device, device or equipment and execute instructions), or in combination with these instruction execution devices, devices or equipment. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution device, device or equipment or in combination with these instruction execution devices, devices or equipment. More specific examples of computer-readable media (non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.
[0095] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0096] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0097] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.
[0098] In addition, the terms "first", "second", etc. used in the embodiments of the present invention are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the present embodiment. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of the present invention can explicitly or implicitly indicate that the embodiment includes at least one of the features. In the description of the present invention, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.
[0099] In the present invention, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "connected" and "fixed" etc. in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific implementation situation.
[0100] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.
[0101] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.
Claims
1. A method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data, characterized in that: The method comprises the following steps: S100, obtaining walking dynamic data of the toddler shoes and the thickness of the toe of the toddler shoes; S200, calculating a balance amount of a toe bending angle and a balance amount of a toe midsole compression deformation according to walking dynamic data of the toddler shoe; S300, calculates the appropriate thickness of the toe box through the toe box thickness of the toe box, the balance of the toe box bending angle and the balance of the compression deformation of the toe box midsole; S400, generates a new toddler shoe model through moderate thickness of the toe box.
2. The method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data according to claim 1, characterized in that: The method for obtaining walking dynamic data of toddler shoes and the thickness of toe caps of toddler shoes comprises: shooting a single dynamic walking video of toddler shoes at different angles for 5 seconds, setting the time interval T of video frames to [0.1] seconds, and the time interval is used to ensure that each frame of the image reflects the dynamic changes of the toddler shoes during walking, performing frame processing on the shot walking video according to the time interval T, and obtaining a plurality of static images during the walking process of the toddler shoes, and the images correspond to the dynamic states at different time points; obtaining the walking dynamic data of the toddler shoes by performing image recognition on the static images of the toddler shoes during movement, wherein the walking dynamic data of the toddler shoes include the bending angle of the toe cap and the compression amount of the midsole; The thickness of the toe of the learning shoe is obtained by obtaining the thickness parameter of the toe of the shoe body model of the learning shoe.
3. The method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data according to claim 2, characterized in that In step S200, calculating the balance amount of the toe bending angle and the balance amount of the toe midsole compression deformation according to the walking dynamic data of the toddler shoe includes: Let Head(Tk) be the bending angle of the toe of the toddler shoe at the kth time interval, SOL(Tk) be the midsole compression of the toddler shoe at the kth time interval, where Tk = [(k-1)*T, k*T], k = 1, 2, ..., C, C = 50; obtain the maximum value of Head(Tk) and record it as Head(Tm), record Tm as the bending time, obtain the maximum value of SOL(Tk) and record it as SOL(Tx), record Tx as the compression time, m∈[1, C], x∈[1, C]; The method for calculating the balance amount of compression deformation of the toe midsole and the balance amount of bending angle of the toe includes: in the process of walking in the toddler shoes, first determine the maximum midsole compression amount SOL(Tm), SOL(Tm) is the midsole compression value at time Tm; calculate the sum of the differences between the compression amounts SOL(Tk) and SOL(Tm) at k time points, divide it by the product of the number of time intervals C and SOL(Tm), apply the correction ratio to SOL(Tm), and finally obtain the balance amount of compression deformation of the toe midsole SOLK; The toe bending angle balance HeadK is calculated by the toe midsole compression deformation balance. This angle is calculated based on the maximum bending angle Head (Tm) and the corrected midsole compression SOLK. Among them, the calculation steps of the toe bending angle balance HeadK include: taking the maximum bending angle Head (Tm) as a reference value and multiplying it by the balance ratio, wherein the balance ratio is the ratio between the corrected midsole compression amount SOLK and the compression amount SOL (Tx) when the compression amount reaches the maximum.
4. The method for designing a toe model of an ultra-light toddler shoe based on toe dynamic data according to claim 1, characterized in that: In step S400, generating a new toddler shoe body model through an appropriate toe thickness includes: using the appropriate toe thickness of the toddler shoe as a toe thickness parameter, applying it to the shoe body model design, and generating a new toddler shoe body model.
5. A device for designing a toe model of an ultra-light toddler shoe based on toe dynamic data, characterized in that: The device for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data comprises: a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the method for designing a toe model of an ultra-lightweight toddler shoe based on toe dynamic data described in any one of claims 1 to 4 are implemented.
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