CN114996786A - Method and device for designing shoe body model based on foot dynamic data - Google Patents
Method and device for designing shoe body model based on foot dynamic data Download PDFInfo
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Abstract
The embodiment of the invention discloses a method for designing a shoe body model based on foot dynamic data, which comprises the following steps: acquiring dynamic data of feet of a user, wherein the dynamic data of the feet comprise overall dynamic walking data of the feet and fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. The scheme solves the problems that in the prior art, the existing scheme can not be reasonably designed by effectively combining dynamic parameters of feet, and the shoe type meeting the real sports requirement is designed, so that the designed shoe body can better meet the dynamic state of the feet of a user in a weekday, and the wearing feeling of the user is good.
Description
Technical Field
The embodiment of the application relates to the field of intelligent design, in particular to a method and a device for designing a shoe body model based on foot dynamic data.
Background
With the improvement of the intelligent degree of equipment, the design of shoe models which meet individual requirements better is an important part in the field of intelligent design.
In the related art, in the shoe body model design process, mostly based on the measurement of static data, such as picture taking, three-dimensional model simulation, etc., as disclosed in patent document No. CN110249327A, it discloses a system, method, logic and apparatus that can support shoe design through 2.5-dimensional (2.5D) shoe models. In some examples, a system may include a 2D shell pattern engine configured to access a 2D shell pattern, the 2D shell pattern generated for a shoe design. The system may also include a 2.5D shoe model engine configured to: generating a 2.5D shoe model by placing user-provided shoe design elements on the 2D shell motif of the shoe, including forming the 2.5D shoe model by adding 2.5D layering data for each of the shoe design elements placed on the 2D shell motif, and rolling the 2.5D shoe model into a 3D shoe model for building a solid shoe from the 3D shoe model. However, the existing scheme cannot be effectively combined with the dynamic parameters of the foot to carry out reasonable design, and a shoe type meeting the real sports requirement is designed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for designing a shoe body model based on foot dynamic data, which solves the problems that in the prior art, the existing scheme cannot be effectively combined with foot dynamic parameters to carry out reasonable design, and a shoe type meeting the real sport requirements is designed, so that the designed shoe body better meets the dynamic state of the user's feet in weekdays, and the wearing feeling of the user is good.
In a first aspect, an embodiment of the present invention provides a method for designing a shoe body model based on foot dynamic data, where the method includes:
acquiring dynamic data of feet of a user, wherein the dynamic data of the feet comprises the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area;
determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
and automatically generating a shoe body model based on the determined shape and material parameters.
Optionally, the acquiring dynamic data of the user foot includes:
acquiring dynamic walking videos of the feet of the user at different angles;
performing frame processing on the walking video to obtain a plurality of dynamic static images of different feet;
and identifying the static image to obtain the dynamic data of the feet of the user.
Optionally, the identifying the static image to obtain dynamic data of the user foot includes:
determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image;
and determining the whole dynamic walking data of the feet according to the plurality of continuous frame images.
Optionally, determining material parameters of each preset part of the shoe body model according to the overall dynamic walking data includes:
determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the feet;
and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
Optionally, the identifying the static image to obtain the dynamic data of the user foot includes:
determining a plurality of continuous frame images when the foot lands on the ground in the static image;
and identifying foot landing areas in the plurality of continuous frame images to obtain fine dynamic walking data of each foot area.
Optionally, determining the shape of each preset part of the shoe body model according to the fine dynamic walking data includes:
and determining shape parameters corresponding to preset parts according to the landing areas and the duration of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
Optionally, the automatically generating the shoe body model based on the determined shape and material parameters includes:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
In a second aspect, an embodiment of the present invention further provides an apparatus for shoe body model design based on foot dynamic data, where the apparatus includes:
the data acquisition module is configured to acquire dynamic data of the feet of the user, wherein the dynamic data of the feet comprise the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area;
the parameter determining module is configured to determine the shape of each preset part of the shoe body model according to the fine dynamic walking data and determine the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
and the model generation module is configured to automatically generate the shoe body model based on the determined shape and material parameters.
In a third aspect, an embodiment of the present invention further provides an apparatus for shoe body model design based on foot dynamic data, where the apparatus includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for shoe body model design based on dynamic data of foot according to the embodiment of the invention.
In a fourth aspect, the present invention further provides a storage medium storing computer-executable instructions, which when executed by a computer processor, are used to perform a method for shoe body model design based on foot dynamic data according to the embodiments of the present invention.
In the embodiment of the invention, dynamic data of the feet of a user are obtained, wherein the dynamic data of the feet comprise the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. The scheme solves the problems that in the prior art, the existing scheme can not be reasonably designed by effectively combining dynamic parameters of feet, and the shoe type meeting the real sports requirement is designed, so that the designed shoe body can better meet the dynamic state of the feet of a user in a weekday, and the wearing feeling of the user is good.
Drawings
FIG. 1 is a flowchart of a method for shoe body model design based on foot dynamic data according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for shoe body model design based on foot dynamic data according to an embodiment of the present invention;
FIG. 3 is a block diagram of an apparatus for shoe body model design based on foot dynamic data according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an apparatus for shoe body model design based on foot dynamic data according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of a method for designing a shoe body model based on foot dynamic data according to an embodiment of the present invention, which can be executed by a shoe body design software system, and specifically includes the following steps:
step S101, obtaining dynamic data of feet of a user, wherein the dynamic data of the feet comprise overall dynamic walking data of the feet and fine dynamic walking data of each foot area.
In one embodiment, user foot dynamic data of a user is first obtained. The dynamic data of the feet of the user comprise the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area. Optionally, the acquiring dynamic data of the user foot includes: acquiring dynamic walking videos of the feet of the user at different shot angles; performing frame processing on the walking video to obtain a plurality of dynamic static images of different feet; and identifying the static image to obtain dynamic data of the foot of the user. Illustratively, the frame-dividing process may be based on capturing video frames at equal time intervals to obtain a plurality of static images of different foot movements. And identifying the static image to obtain the dynamic data of the feet of the user. Wherein, whole developments walking data representation walking in-process, the holistic gesture of foot. The fine dynamic walking data of each foot region represents the posture of each region divided in the foot.
In one embodiment, the identifying the static image to obtain dynamic data of the user foot includes: determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image; and determining the whole dynamic walking data of the feet according to the plurality of continuous frame images. The data of the whole dynamic walking of the foot can be the bending condition of the foot and the contact condition of the ground under different time sequences in the walking process.
In another embodiment, the identifying the static image to obtain the dynamic data of the user foot includes: determining a plurality of continuous frame images when the foot lands on the ground in the static image; and identifying foot landing areas in the plurality of continuous frame images to obtain fine dynamic walking data of each foot area. The fine dynamic walking data are the landing areas of the foot areas under different time sequences and the duration counted when the areas land.
Step S102, determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data.
In one embodiment, the design of the shape and material parameters is performed separately during the design of the shoe body model. Specifically, in the shape design process, determining the shape of each preset part of the shoe body model according to the fine dynamic walking data; and in the material design process, determining the material parameters of each preset part of the shoe body model according to the integral dynamic walking data.
Optionally, determining material parameters of each preset part of the shoe body model according to the overall dynamic walking data includes: determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the feet; and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body. The bending parameters are determined by the overall dynamic walking data, and the bending condition corresponding to the image with the maximum bending degree of the foot in the overall dynamic walking data is determined as the bending parameters; the contact parameter is determined from the overall dynamic walking data, and the time from the time when any one part of the entire foot contacts the ground to the time when the entire foot leaves the ground is taken as the contact parameter.
The bending condition corresponding to the bending parameters is set in the system, a plurality of bending threshold intervals are set in the system, each practical bending parameter and contact parameter can fall into one corresponding bending interval and contact interval, the combination of different bending intervals and contact intervals only corresponds to one specific material, and different bending conditions and contact conditions correspond to different materials. When the material design is carried out, the bending section and the contact section which can be different correspond to different materials at preset positions respectively, the preset positions can be exemplified by the shoe body bottom, the shoe body heel, the shoe body surface and the shoe body front end, namely, the shoe body bottom, the shoe body heel, the shoe body surface and the shoe body front end can respectively correspond to one material independently, certainly, the whole body can also correspond to one material, and the specific material type can be preset.
In another embodiment, when determining the internal shape of the shoe body model, the determining the shape of each preset part of the shoe body model according to the fine dynamic walking data includes: and determining shape parameters corresponding to preset parts according to the landing areas and the duration of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model. The method comprises the steps of obtaining the landing areas of foot regions based on time sequence and corresponding time points of different landing areas through continuous multi-frame image recognition, forming fine dynamic walking data through statistics of the landing areas of different parts of different time points, and determining the concave-convex thickness inside a shoe body model based on the fine dynamic walking data. For example, if the foot outer edge has a long landing area duration and preferentially lands on the ground compared with the foot arch side, the outer side of the foot inside the shoe body model is set to be convex for posture correction, wherein the specific corresponding relationship between the concave-convex part inside the shoe body and the fine dynamic walking data can be set according to human engineering by a developer.
And S103, automatically generating a shoe body model based on the determined shape and material parameters.
In one embodiment, after the determined shape and material parameters are obtained, corresponding setting of the corresponding shoe body model is performed, such as adjusting the inner shape of the shoe body model, filling the material parameters of each preset part, and the like. And further pushing the designed model to an individual planning product center for manufacturing.
According to the above, by acquiring dynamic data of the feet of the user, the dynamic data of the feet comprises the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. The scheme solves the problems that in the prior art, the existing scheme can not be reasonably designed by effectively combining dynamic parameters of feet, and the shoe type meeting the real sports requirement is designed, so that the designed shoe body can better meet the dynamic state of the feet of a user in a weekday, and the wearing feeling of the user is good.
Fig. 2 is a flowchart of another method for shoe body model design based on foot dynamic data according to an embodiment of the present invention, and a specific complete example is shown in fig. 2. The method specifically comprises the following steps:
step S201, dynamic walking videos of the feet of the user at different shot angles are obtained, the walking videos are subjected to framing processing, and a plurality of dynamic static images of different feet are obtained.
Step S202, a plurality of continuous frame images of the foot when the foot lands on the ground and the foot leaves the ground are determined in the static image, and the whole dynamic walking data of the foot is determined according to the plurality of continuous frame images.
Step S203, determining bending parameters and contact parameters in the walking process according to the dynamic walking data of the whole foot, and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of a shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
Step S204, determining a plurality of continuous frame images when the foot lands in the static image, and identifying foot landing areas in the plurality of continuous frame images to obtain fine dynamic walking data of each foot area.
And S205, determining shape parameters corresponding to preset parts according to the landing areas and the duration of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
And S206, automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
According to the above, by acquiring dynamic data of the feet of the user, the dynamic data of the feet comprises the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. The scheme solves the problems that in the prior art, the existing scheme cannot be reasonably designed by effectively combining with dynamic parameters of feet, and the shoe type meeting the real sports requirement is designed, so that the designed shoe body better meets the dynamic state of the feet of a user in normal days, and the wearing feeling of the user is good.
Fig. 3 is a structural block diagram of an apparatus for shoe body model design based on foot dynamic data according to an embodiment of the present invention, which is used for executing the method for shoe body model design based on foot dynamic data according to the above embodiment, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus specifically includes: among the data acquisition module 101, the parameter determination module 102 and the model generation module 103,
the data acquisition module 101 is configured to acquire dynamic data of the feet of the user, wherein the dynamic data of the feet comprises overall dynamic walking data of the feet and fine dynamic walking data of each foot area;
the parameter determining module 102 is configured to determine the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determine the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
a model generation module 103 configured to perform automatic generation of a shoe body model based on the determined shape and material parameters.
According to the scheme, dynamic data of the feet of the user are obtained, wherein the dynamic data of the feet comprise the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. The scheme solves the problems that in the prior art, the existing scheme can not be reasonably designed by effectively combining dynamic parameters of feet, and the shoe type meeting the real sports requirement is designed, so that the designed shoe body can better meet the dynamic state of the feet of a user in a weekday, and the wearing feeling of the user is good. The specific functions executed by each module are as follows:
in one possible embodiment, the acquiring dynamic data of the user foot includes:
acquiring dynamic walking videos of the feet of the user at different shot angles;
performing frame processing on the walking video to obtain a plurality of dynamic static images of different feet;
and identifying the static image to obtain the dynamic data of the feet of the user.
In a possible embodiment, the identifying the static image to obtain the dynamic data of the user foot includes:
determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image;
and determining the whole dynamic walking data of the feet according to the plurality of continuous frame images.
In a possible embodiment, the determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data includes:
determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the feet;
and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
In a possible embodiment, the identifying the static image to obtain dynamic data of the user's foot includes:
determining a plurality of continuous frame images when the foot lands on the ground in the static image;
and identifying foot landing areas in the plurality of continuous frame images to obtain fine dynamic walking data of each foot area.
In a possible embodiment, the determining the shape of each preset part of the shoe body model according to the fine dynamic walking data comprises:
and determining shape parameters corresponding to preset parts according to the landing areas and the duration of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
In one possible embodiment, the automatic generation of the shoe body model based on the determined shape and material parameters comprises:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
FIG. 4 is a schematic structural diagram of an apparatus for shoe body model design based on foot dynamic data according to an embodiment of the present invention, as shown in FIG. 4, the apparatus includes a processor 201, a memory 202, an input device 203 and an output device 204; the number of the processors 201 in the device may be one or more, and one processor 201 is taken as an example in fig. 4; the processor 201, the memory 202, the input means 203 and the output means 204 in the device may be connected by a bus or other means, as exemplified by a bus in fig. 4. Memory 202, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules, corresponding to the method for shoe body model design based on foot dynamics data in embodiments of the present invention. The processor 201 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 202, so as to realize the method for designing the shoe body model based on the dynamic data of the foot. The input device 203 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the apparatus. The output device 204 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions that, when executed by a computer processor, perform a method for shoe body model design based on foot dynamic data, the method comprising:
acquiring dynamic data of feet of a user, wherein the dynamic data of the feet comprises the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area;
determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
and automatically generating a shoe body model based on the determined shape and material parameters.
It should be noted that, in the embodiment of the apparatus for designing a shoe body model based on foot dynamic data, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
In some possible embodiments, various aspects of the methods provided by the present application may also be implemented in the form of a program product including program code for causing a computer device to perform the steps of the methods according to various exemplary embodiments of the present application described above in this specification when the program product is run on the computer device, for example, the computer device may perform the methods for shoe body model design based on foot dynamic data described in the examples of the present application. The program product may be implemented using any combination of one or more readable media.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments can be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for designing a shoe body model based on foot dynamic data is characterized by comprising the following steps:
acquiring dynamic data of feet of a user, wherein the dynamic data of the feet comprise overall dynamic walking data of the feet and fine dynamic walking data of each foot area;
determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
and automatically generating a shoe body model based on the determined shape and material parameters.
2. The method of shoe body model design based on foot dynamics data of claim 1, wherein said obtaining user foot dynamics data comprises:
acquiring dynamic walking videos of the feet of the user at different angles;
performing frame processing on the walking video to obtain a plurality of dynamic static images of different feet;
and identifying the static image to obtain the dynamic data of the feet of the user.
3. The method of claim 2, wherein said identifying the static image results in dynamic data of the user's foot, comprising:
determining a plurality of continuous frame images of the foot landing and the foot liftoff in the static image;
and determining the whole dynamic walking data of the feet according to the plurality of continuous frame images.
4. The method of claim 3, wherein determining material parameters of each predetermined portion of the shoe body model based on the overall dynamic walking data comprises:
determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the feet;
and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
5. The method of claim 2, wherein said identifying the static image results in dynamic data of the user's foot, comprising:
determining a plurality of continuous frame images when the foot lands on the ground in the static image;
and identifying foot landing areas in the plurality of continuous frame images to obtain fine dynamic walking data of each foot area.
6. The method for designing a shoe body model according to the foot dynamic data, wherein the determining the shape of each preset part of the shoe body model according to the fine dynamic walking data comprises:
and determining shape parameters corresponding to preset parts according to the landing areas and the duration of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
7. The method for shoe body model design based on foot dynamic data according to any one of claims 1-6, wherein said automatic generation of shoe body model based on determined shape and material parameters comprises:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
8. Device based on foot dynamic data carries out shoes body model design, its characterized in that includes:
the data acquisition module is configured to acquire dynamic data of the feet of the user, wherein the dynamic data of the feet comprise the whole dynamic walking data of the feet and the fine dynamic walking data of each foot area;
the parameter determining module is configured to determine the shape of each preset part of the shoe body model according to the fine dynamic walking data and determine the material parameters of each preset part of the shoe body model according to the overall dynamic walking data;
and the model generation module is configured to automatically generate the shoe body model based on the determined shape and material parameters.
9. An apparatus for shoe body model design based on foot dynamics data, the apparatus comprising: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for shoe body model design based on foot dynamics data according to any one of claims 1-7.
10. A storage medium storing computer-executable instructions for performing the method for shoe body model design based on foot dynamic data according to any one of claims 1-7 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210742168.4A CN114996786B (en) | 2022-06-27 | 2022-06-27 | Method and device for designing shoe model based on foot dynamic data |
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| CN115187733A (en) * | 2022-09-09 | 2022-10-14 | 广东时谛智能科技有限公司 | Method and device for determining shoe body internal model based on foot dynamic data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015169941A1 (en) * | 2014-05-09 | 2015-11-12 | Materialise N.V. | Methods and apparatuses for designing footwear |
| CN106820450A (en) * | 2017-03-29 | 2017-06-13 | 福建省纳金网信息技术有限公司 | A kind of intelligent dynamic and static foot type data acquisition device and its method |
| CN112956784A (en) * | 2021-03-31 | 2021-06-15 | 湄洲湾职业技术学院 | Method for manufacturing personalized shoe tree |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015169941A1 (en) * | 2014-05-09 | 2015-11-12 | Materialise N.V. | Methods and apparatuses for designing footwear |
| CN106820450A (en) * | 2017-03-29 | 2017-06-13 | 福建省纳金网信息技术有限公司 | A kind of intelligent dynamic and static foot type data acquisition device and its method |
| CN112956784A (en) * | 2021-03-31 | 2021-06-15 | 湄洲湾职业技术学院 | Method for manufacturing personalized shoe tree |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115187733A (en) * | 2022-09-09 | 2022-10-14 | 广东时谛智能科技有限公司 | Method and device for determining shoe body internal model based on foot dynamic data |
| CN115187733B (en) * | 2022-09-09 | 2023-03-10 | 广东时谛智能科技有限公司 | Method and device for determining shoe body internal model based on foot dynamic data |
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