CN115098901B - Method and device for determining materials of all parts of shoe body based on personal data analysis - Google Patents

Method and device for determining materials of all parts of shoe body based on personal data analysis Download PDF

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CN115098901B
CN115098901B CN202210744562.1A CN202210744562A CN115098901B CN 115098901 B CN115098901 B CN 115098901B CN 202210744562 A CN202210744562 A CN 202210744562A CN 115098901 B CN115098901 B CN 115098901B
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determining
shoe body
preset
preset part
image information
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CN115098901A (en
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林子森
谢家欣
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Guangdong Shidi Intelligent Technology Co Ltd
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Guangdong Shidi Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/752Contour matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/16Customisation or personalisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Footwear And Its Accessory, Manufacturing Method And Apparatuses (AREA)

Abstract

The embodiment of the invention discloses a method for determining the material quality of each part of a shoe body based on personal data analysis, which comprises the following steps: acquiring personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information; determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; and designing and displaying the shoe body model based on the material parameters. According to the scheme, the problem that the material design process in the related technology is uniform and indifferent design cannot meet the current personalized demand design is solved, and the dynamic demands of users can be met by the materials of all parts of the designed shoe body, so that the comfort of the shoe body is guaranteed.

Description

Method and device for determining materials of all parts of shoe body based on personal data analysis
Technical Field
The embodiment of the application relates to the field of intelligent design, in particular to a method and a device for determining the material of each part of a shoe body based on personal data analysis.
Background
In the existing shoe material design process, the design of materials is mostly based on experience of designers and different shoe materials, and the design is in a unified form and relatively lacks reasonable reference basis.
In the related art, patent document CN105459318A discloses a method for producing an in-mold integrally formed dual-material sole, comprising: designing an exhaust hole on the basis of a traditional die, and changing the exhaust hole into a die capable of vacuumizing; manufacturing a required lower layer sheet bottom in a fitting mode, brushing glue, and placing the lower layer sheet bottom at a corresponding position of a die; attaching the cut TPU film to a die opening for vacuumizing treatment until the film paper is completely attached to the die; preparing the raw material of the upper layer of the sole, injecting the raw material into a die, and demolding after die assembly for 6-7 minutes. The invention reduces the lamination assembly flow of the dual-material sole, does not need post-processing lamination, and can be demoulded to obtain a finished product, thereby saving the manufacturing cost; the product has beautiful appearance, no material shortage phenomenon in appearance, no air holes and the like; compared with similar products, the weight can be reduced by 15-20%, and the elasticity can be improved by 40-50%. However, the material design process is a unified indiscriminate design, and cannot meet the current situation of personalized demand design.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining the material quality of each part of a shoe body based on personal data analysis, which solve the problem that the material design process in the related technology is uniform and indifferent design and cannot meet the current personalized demand design.
In a first aspect, an embodiment of the present invention provides a method for determining a material of each portion of a shoe body based on personal data analysis, where the method includes:
acquiring personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information;
determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information;
and designing and displaying the shoe body model based on the material parameters.
Optionally, the acquiring the personal foot morphology data of the user includes:
and acquiring data in a static state shot by the camera to obtain static image information, and acquiring dynamic walking information from the data in a walking state.
Optionally, the determining the material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information includes:
determining a first material parameter of a corresponding first preset part according to the static image information, and determining a second material parameter of a corresponding second preset part according to the dynamic walking information, wherein the first preset part is an edge side position inside the shoe body model, and the second preset part is a bottom side position inside the shoe body model.
Optionally, the determining, according to the static image information, a first material parameter of a corresponding first preset portion includes:
the foot outline in the static image information is identified to obtain outline identification information;
comparing the profile identification information with standard profile data to obtain difference data, and determining a corresponding first preset position based on the difference data;
and setting a first material parameter of the first preset part according to the difference degree of the difference data.
Optionally, the determining, according to the dynamic walking information, a second material parameter of a corresponding second preset part includes:
determining continuous multi-frame associated images according to the dynamic walking information;
determining the bending degree of the foot, the grounding position and the duration time in the dynamic walking process according to the continuous multi-frame associated images;
and determining a position point of a second preset part according to the grounding position, and determining a second material parameter of the position point in the second preset part according to the bending degree and the duration time.
Optionally, the determining the location point of the second preset portion according to the grounding location, and determining the second material parameter of the location point in the second preset portion according to the bending degree and the duration time includes:
determining an area where the grounding position is located, and determining a corresponding position point in the second preset position according to the area;
and determining a bearing parameter according to the bending degree and the duration time, and determining a second material parameter of which the corresponding material is a position point based on the bearing parameter.
Optionally, the designing and displaying the shoe body model based on the material parameters includes:
setting the determined material parameters of each preset part as the material of the corresponding position of the shoe body model;
and receiving clicking operation of a user on the preset part, and performing deformation display of the corresponding preset part.
In a second aspect, an embodiment of the present invention further provides a device for determining a material of each portion of a shoe body based on personal data analysis, where the device includes:
the data acquisition module is configured to acquire personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information;
the material parameter determining module is configured to determine material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information;
and the design display module is configured for designing and displaying the shoe body model based on the material parameters.
In a third aspect, an embodiment of the present invention further provides an apparatus for determining a material of each portion of a shoe body based on personal data analysis, where the apparatus includes:
one or more processors;
storage means 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 determining the material of each part of the shoe body based on the personal data analysis according to the embodiment of the present invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium storing computer-executable instructions that, when executed by a computer processor, are configured to perform the method for determining a texture of each portion of a shoe body based on personal data analysis according to the embodiments of the present invention.
In the embodiment of the invention, the personal foot form data of the user is obtained, wherein the personal foot form data comprises static image information and dynamic walking information; determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; and designing and displaying the shoe body model based on the material parameters. According to the scheme, the problem that the material design process in the related technology is uniform and indifferent design cannot meet the current personalized demand design is solved, and the dynamic demands of users can be met by the materials of all parts of the designed shoe body, so that the comfort of the shoe body is guaranteed.
Drawings
FIG. 1 is a flowchart of a method for determining the material of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for determining the texture of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention;
FIG. 3 is a block diagram of a device for determining the material of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for determining materials of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in further detail below with reference to the drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not limiting of embodiments of the invention. It should be further noted that, for convenience of description, only some, but not all of the structures related to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of a method for determining materials of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention, which may be executed by a shoe body design software system, and specifically includes the following steps:
step S101, acquiring personal foot form data of a user, wherein the personal foot form data includes static image information and dynamic walking information.
In one embodiment, personal foot morphology data of a user is first obtained. Wherein the personal foot morphology data includes static image information and dynamic walking information. Alternatively, the still image information may be obtained by acquiring data in a still state captured by the camera, and the dynamic walking information may be obtained by acquiring data in a walking state.
The user may be a user who is currently using system software to perform model design, and the personal foot morphology data may be recorded by shooting by the user through other devices and uploaded to the system.
The still image information may be foot image information at various angles of photographing. The dynamic walking information is a multi-frame continuous image including the walking time of the foot.
And step S102, determining the material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information.
In one embodiment, after the static image information and the dynamic walking information are obtained, the material parameters of each preset part of the shoe body model are determined based on the static image information and the dynamic walking information. Alternatively, the method specifically may be: determining a first material parameter of a corresponding first preset part according to the static image information, and determining a second material parameter of a corresponding second preset part according to the dynamic walking information, wherein the first preset part is an edge side position inside the shoe body model, and the second preset part is a bottom side position inside the shoe body model. When material parameters are determined, different areas in the shoe body model are divided, the first preset part corresponds to the edge side, the second preset part corresponds to the bottom side, and each preset part comprises a plurality of different position points or is an area surrounded by boundary lines.
In one embodiment, the determining the first material parameter of the corresponding first preset portion according to the static image information includes: the foot outline in the static image information is identified to obtain outline identification information; comparing the profile identification information with standard profile data to obtain difference data, and determining a corresponding first preset position based on the difference data; and setting a first material parameter of the first preset part according to the difference degree of the difference data. The standard contour data may be an average contour obtained by counting a plurality of different foot images through big data, the difference data is a part with difference in the average contour, and the corresponding first preset part, such as a lateral position, a medial position, a toe position, a rear position of the foot, or the like in the edge side area is determined according to the position where the difference foot part is located by the difference data. And when the first material parameters are determined, setting the first material parameters of the first preset part according to the difference degree of the difference data. Optionally, different difference thresholds are set according to the difference condition, each difference threshold range corresponds to one material, and when the difference degree meets the corresponding set threshold range, the corresponding material is set as the set first material parameter of the region.
In one embodiment, determining the second material parameter of the second predetermined portion includes: determining continuous multi-frame associated images according to the dynamic walking information; determining the bending degree of the foot, the grounding position and the duration time in the dynamic walking process according to the continuous multi-frame associated images; and determining a position point of a second preset part according to the grounding position, and determining a second material parameter of the position point in the second preset part according to the bending degree and the duration time. The continuous multi-frame associated images may be picture images captured in a fixed time interval sequence, that is, continuous multi-frame images with continuous dynamic change conditions. The bending degree is the bending degree corresponding to the image with the largest bending degree of the foot in the multi-frame continuous images, the grounding position is the position where the foot is contacted with the ground, and the duration time is the acquisition time interval of two images of the grounding of the first foot and the separation of the first foot in the multi-frame continuous images. The determined grounding position is taken as a basis for determining a position point of the second preset position, and the position point of the grounding position is taken as the position point of the second preset position in an exemplary manner, and the position point is an area region.
In one embodiment, the determining the location point of the second preset portion according to the grounding position, and determining the second material parameter of the location point in the second preset portion according to the bending degree and the duration time, includes: determining an area where the grounding position is located, and determining a corresponding position point in the second preset position according to the area; and determining a bearing parameter according to the bending degree and the duration time, and determining a second material parameter of which the corresponding material is a position point based on the bearing parameter. Wherein, the bearing parameters are based on the bending degree and the duration, different bending degrees correspond to the bending degree intervals of the set points, different duration correspond to different time intervals of the set points, and the set comparison table is inquired through the combination of the two to determine the set bearing parameters corresponding to the combination of the two, wherein, different bearing parameters correspond to different material parameters and are used as the second material parameters.
And step S103, designing and displaying the shoe body model based on the material parameters.
In one embodiment, the shoe body model is designed and displayed after each part and corresponding material parameters of the shoe body model are determined. The specific materials are filled and displayed on the corresponding shoe body parts, and can be characterized by different transparencies, colors or special marks. In the display process, the method comprises the following steps: setting the determined material parameters of each preset part as the material of the corresponding position of the shoe body model; and receiving clicking operation of a user on the preset part, and performing deformation display of the corresponding preset part. Wherein, different materials correspond different deformation amounts, for example, the deformation amount corresponding to softer materials is large, the deformation amount corresponding to harder materials is small, and corresponding display is performed through the size of the deformation.
As can be seen from the above, by acquiring personal foot form data of a user, the personal foot form data includes static image information and dynamic walking information; determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; and designing and displaying the shoe body model based on the material parameters. According to the scheme, the problem that the material design process in the related technology is uniform and indifferent design cannot meet the current personalized demand design is solved, and the dynamic demands of users can be met by the materials of all parts of the designed shoe body, so that the comfort of the shoe body is guaranteed.
Fig. 2 is a flowchart of another method for determining the material of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention, and a specific and complete example is given as shown in fig. 2. The method specifically comprises the following steps:
step S201, acquiring data in a static state shot by a camera to obtain static image information, and acquiring data in a walking state to obtain dynamic walking information, wherein the personal foot shape data comprise the static image information and the dynamic walking information.
Step S202, identifying the foot outline in the static image information to obtain outline identification information, comparing the outline identification information with standard outline data to obtain difference data, determining a corresponding first preset position based on the difference data, and setting a first material parameter of the first preset position according to the difference degree of the difference data.
Step S203, determining continuous multi-frame related images according to the dynamic walking information, determining bending degree of the foot, landing position and duration time in the dynamic walking process according to the continuous multi-frame related images, determining a position point of a second preset position according to the landing position, determining an area where the landing position is located, determining a corresponding position point in the second preset position according to the area, determining a bearing parameter according to the bending degree and duration time, and determining a second material parameter with the corresponding material as the position point based on the bearing parameter.
And step S204, designing and displaying the shoe body model based on the material parameters, setting the material parameters of the preset parts as the material of the corresponding positions of the shoe body model, receiving clicking operation of the preset parts by a user, and displaying the deformation of the corresponding preset parts.
As can be seen from the above, by acquiring personal foot form data of a user, the personal foot form data includes static image information and dynamic walking information; determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; and designing and displaying the shoe body model based on the material parameters. According to the scheme, the problem that the material design process in the related technology is uniform and indifferent design cannot meet the current personalized demand design is solved, and the dynamic demands of users can be met by the materials of all parts of the designed shoe body, so that the comfort of the shoe body is guaranteed.
Fig. 3 is a block diagram of a device for determining the material of each portion of a shoe body based on personal data analysis according to an embodiment of the present invention, where the device is used to execute the method for determining the material of each portion of a shoe body based on personal data analysis according to the foregoing embodiment, and the device has a function module and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus specifically includes: a data acquisition module 101, a material parameter determination module 102 and a design display module 103,
a data acquisition module 101 configured to acquire personal foot form data of a user, the personal foot form data including static image information and dynamic walking information;
a material parameter determining module 102 configured to determine material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information;
the design display module 103 is configured to design and display the shoe body model based on the material parameters.
According to the scheme, the personal foot shape data of the user is obtained, and the personal foot shape data comprises static image information and dynamic walking information; determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; and designing and displaying the shoe body model based on the material parameters. According to the scheme, the problem that the material design process in the related technology is uniform and indifferent design cannot meet the current personalized demand design is solved, and the dynamic demands of users can be met by the materials of all parts of the designed shoe body, so that the comfort of the shoe body is guaranteed. The specific functions executed by each module are as follows:
the acquiring personal foot morphology data of the user includes:
and acquiring data in a static state shot by the camera to obtain static image information, and acquiring dynamic walking information from the data in a walking state.
In one possible embodiment, the determining the material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information includes:
determining a first material parameter of a corresponding first preset part according to the static image information, and determining a second material parameter of a corresponding second preset part according to the dynamic walking information, wherein the first preset part is an edge side position inside the shoe body model, and the second preset part is a bottom side position inside the shoe body model.
In one possible embodiment, the determining the first material parameter of the corresponding first preset portion according to the static image information includes:
the foot outline in the static image information is identified to obtain outline identification information;
comparing the profile identification information with standard profile data to obtain difference data, and determining a corresponding first preset position based on the difference data;
and setting a first material parameter of the first preset part according to the difference degree of the difference data.
In one possible embodiment, the determining, according to the dynamic walking information, the second material parameter of the corresponding second preset portion includes:
determining continuous multi-frame associated images according to the dynamic walking information;
determining the bending degree of the foot, the grounding position and the duration time in the dynamic walking process according to the continuous multi-frame associated images;
and determining a position point of a second preset part according to the grounding position, and determining a second material parameter of the position point in the second preset part according to the bending degree and the duration time.
In one possible embodiment, the determining the location point of the second preset portion according to the grounding location, and determining the second material parameter of the location point in the second preset portion according to the bending degree and the duration time include:
determining an area where the grounding position is located, and determining a corresponding position point in the second preset position according to the area;
and determining a bearing parameter according to the bending degree and the duration time, and determining a second material parameter of which the corresponding material is a position point based on the bearing parameter.
In one possible embodiment, the designing and displaying the shoe body model based on the material parameters includes:
setting the determined material parameters of each preset part as the material of the corresponding position of the shoe body model;
and receiving clicking operation of a user on the preset part, and performing deformation display of the corresponding preset part.
Fig. 4 is a schematic structural diagram of an apparatus for determining materials of various parts of a shoe body based on personal data analysis 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 processors 201 in the device may be one or more, one processor 201 being taken as an example in fig. 4; the processor 201, memory 202, input devices 203, and output devices 204 in the apparatus may be connected by a bus or other means, for example in fig. 4. The memory 202 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to the method for determining the texture of each portion of a shoe body based on analysis of personal data in the 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, that is, implements the above-described method for determining the texture of each portion of the shoe body based on personal data analysis. The input means 203 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. 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 for performing a method for determining a texture of each portion of a shoe body based on personal data analysis, the method comprising:
acquiring personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information;
determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information;
and designing and displaying the shoe body model based on the material parameters.
It should be noted that, in the embodiment of the apparatus for determining the material of each portion of the shoe body based on the personal data analysis, each unit and module included in the apparatus are only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present invention.
In some possible embodiments, various aspects of the methods provided herein may also be implemented in the form of a program product comprising program code for causing a computer device to perform the steps of the methods described herein above according to various exemplary embodiments of the present application, when the program product is run on the computer device, e.g., the computer device may perform the method for determining the quality of various portions of a shoe body based on personal data analysis as described in the examples herein. The program product may be implemented using any combination of one or more readable media.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present invention are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit 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 (6)

1. A method for determining the material of each part of a shoe body based on personal data analysis, comprising the steps of:
acquiring personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information;
determining material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information;
designing and displaying a shoe body model based on the material parameters;
wherein, the determining the material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information comprises the following steps:
determining a first material parameter of a corresponding first preset part according to the static image information, and determining a second material parameter of a corresponding second preset part according to the dynamic walking information, wherein the first preset part is an edge side position inside the shoe body model, and the second preset part is a bottom side position inside the shoe body model;
wherein determining a first material parameter of a corresponding first preset part according to the static image information comprises:
the foot outline in the static image information is identified to obtain outline identification information;
comparing the profile identification information with standard profile data to obtain difference data, and determining a corresponding first preset position based on the difference data;
setting a first material parameter of the first preset part according to the difference degree of the difference data;
the determining, according to the dynamic walking information, a second material parameter of a corresponding second preset part includes:
determining continuous multi-frame associated images according to the dynamic walking information;
determining the bending degree of the foot, the grounding position and the duration time in the dynamic walking process according to the continuous multi-frame associated images;
determining a position point of a second preset part according to the grounding position, and determining a second material parameter of the position point in the second preset part according to the bending degree and the duration time;
wherein the determining the location point of the second preset portion according to the grounding location, and determining the second material parameter of the location point in the second preset portion according to the bending degree and the duration time, includes:
determining an area where the grounding position is located, and determining a corresponding position point in the second preset position according to the area;
and determining a bearing parameter according to the bending degree and the duration time, and determining a second material parameter of which the corresponding material is a position point based on the bearing parameter.
2. The method for determining the quality of each portion of a shoe body based on personal data analysis according to claim 1, wherein the step of obtaining personal foot morphology data of a user comprises:
and acquiring data in a static state shot by the camera to obtain static image information, and acquiring dynamic walking information from the data in a walking state.
3. The method for determining the texture of each portion of a shoe body based on personal data analysis according to any one of claims 1-2, wherein the designing and displaying of the shoe body model based on the texture parameters comprises:
setting the determined material parameters of each preset part as the material of the corresponding position of the shoe body model;
and receiving clicking operation of a user on the preset part, and performing deformation display of the corresponding preset part.
4. A device for determining the material of each part of a shoe body based on personal data analysis, comprising:
the data acquisition module is configured to acquire personal foot form data of a user, wherein the personal foot form data comprises static image information and dynamic walking information;
the material parameter determining module is configured to determine material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information; the determining the material parameters of each preset part of the shoe body model according to the static image information and the dynamic walking information comprises the following steps: determining a first material parameter of a corresponding first preset part according to the static image information, and determining a second material parameter of a corresponding second preset part according to the dynamic walking information, wherein the first preset part is an edge side position inside the shoe body model, and the second preset part is a bottom side position inside the shoe body model; determining a first material parameter of a corresponding first preset part according to the static image information, wherein the first material parameter comprises: the foot outline in the static image information is identified to obtain outline identification information; comparing the profile identification information with standard profile data to obtain difference data, and determining a corresponding first preset position based on the difference data; setting a first material parameter of the first preset part according to the difference degree of the difference data; the determining, according to the dynamic walking information, a second material parameter of a corresponding second preset part includes: determining continuous multi-frame associated images according to the dynamic walking information, determining bending degree of feet, grounding positions and duration time in the dynamic walking process according to the continuous multi-frame associated images, determining position points of a second preset position according to the grounding positions, determining second material parameters of the position points in the second preset position according to the bending degree and the duration time, determining the position points of the second preset position according to the grounding positions, and determining the second material parameters of the position points in the second preset position according to the bending degree and the duration time, wherein the determining comprises the following steps: determining a region where the grounding position is located, determining a corresponding position point in the second preset position according to the region, determining a bearing parameter according to the bending degree and the duration, and determining a second material parameter with a corresponding material as the position point based on the bearing parameter;
and the design display module is configured for designing and displaying the shoe body model based on the material parameters.
5. An apparatus for determining the texture of each portion of a shoe body based on personal data analysis, the apparatus comprising: one or more processors; storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of determining a quality of each portion of a shoe body based on personal data analysis as claimed in any one of claims 1 to 3.
6. A storage medium storing computer-executable instructions which, when executed by a computer processor, are configured to perform the method of determining a quality of individual portions of a shoe body based on personal data analysis as claimed in any one of claims 1-3.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115186318B (en) * 2022-09-13 2023-03-24 广东时谛智能科技有限公司 Method and device for designing shoe body model based on shoe body historical data
CN115544606B (en) * 2022-12-01 2023-05-12 广东时谛智能科技有限公司 Design method, device, equipment and medium of multifunctional shoe body

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020041137A (en) * 2000-11-27 2002-06-01 김정규 Multi-functioning artificial foot
US9517175B1 (en) * 2013-03-14 2016-12-13 Toyota Jidosha Kabushiki Kaisha Tactile belt system for providing navigation guidance
CN106562516A (en) * 2015-10-11 2017-04-19 北京大学深圳研究生院 Method for making healthy shoes
CN107114863A (en) * 2017-07-07 2017-09-01 李宁体育(上海)有限公司 For the manufacture method and manufacture system of the shoe tree for testing footwear non-skid property
KR20180060049A (en) * 2016-11-28 2018-06-07 한국과학기술연구원 Apparatus for manufacturing customized insole based on static information and dynimic information and method thereof
CN111820533A (en) * 2020-06-30 2020-10-27 浙江中胤时尚股份有限公司 Dynamic curved surface supporting type sports shoes
WO2021058701A1 (en) * 2019-09-24 2021-04-01 Zhor Tech Method and system for calculating personalised values of parameters of a sole with a view to designing made-to-measure soles
CN114595492A (en) * 2022-05-10 2022-06-07 广东时谛智能科技有限公司 Sole exclusive customization method, device, equipment and storage medium
CN114611177A (en) * 2022-05-09 2022-06-10 广东时谛智能科技有限公司 Shoe body accessory customization method and device, electronic equipment and storage medium

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RO125970B1 (en) * 2010-01-21 2019-03-29 Institutul De Mecanica Solidelor Al Academiei Române Method and device for the dynamic control of a walking robot
JP5583087B2 (en) * 2011-08-04 2014-09-03 株式会社東芝 Image processing apparatus, method, and program
DE102012017882A1 (en) * 2012-09-11 2014-03-13 Fatmir Langmeier A method of producing an individualized, patient-data-based, modular sole-of-foot sole and identifying the materials and construction of an individualized, patient-data-based insole
BE1022215B1 (en) * 2014-05-09 2016-03-01 Materialise N.V. METHODS AND DEVICES FOR DESIGNING FOOTWEAR
CN105975932B (en) * 2016-05-04 2019-07-23 广东工业大学 Gait Recognition classification method based on time series shapelet
US10289098B2 (en) * 2016-05-20 2019-05-14 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Dynamic footwear cushioning system
CN108875780A (en) * 2018-05-07 2018-11-23 广东省电信规划设计院有限公司 The acquisition methods and device of difference object between image based on view data
CN111353958B (en) * 2020-02-28 2023-07-25 北京东软医疗设备有限公司 Image processing method, device and system
CN112956784B (en) * 2021-03-31 2022-02-18 湄洲湾职业技术学院 Method for manufacturing personalized shoe tree
CN114647877B (en) * 2022-02-11 2023-04-21 广东时谛智能科技有限公司 Method and device for designing shoe body according to dynamic foot pressure distribution
CN114648441B (en) * 2022-02-11 2023-07-21 广东时谛智能科技有限公司 Method and device for designing shoe body according to dynamic foot pressure distribution
CN114581855B (en) * 2022-04-29 2022-08-02 深圳格隆汇信息科技有限公司 Information collection method and system based on big data

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020041137A (en) * 2000-11-27 2002-06-01 김정규 Multi-functioning artificial foot
US9517175B1 (en) * 2013-03-14 2016-12-13 Toyota Jidosha Kabushiki Kaisha Tactile belt system for providing navigation guidance
CN106562516A (en) * 2015-10-11 2017-04-19 北京大学深圳研究生院 Method for making healthy shoes
KR20180060049A (en) * 2016-11-28 2018-06-07 한국과학기술연구원 Apparatus for manufacturing customized insole based on static information and dynimic information and method thereof
CN107114863A (en) * 2017-07-07 2017-09-01 李宁体育(上海)有限公司 For the manufacture method and manufacture system of the shoe tree for testing footwear non-skid property
WO2021058701A1 (en) * 2019-09-24 2021-04-01 Zhor Tech Method and system for calculating personalised values of parameters of a sole with a view to designing made-to-measure soles
CN111820533A (en) * 2020-06-30 2020-10-27 浙江中胤时尚股份有限公司 Dynamic curved surface supporting type sports shoes
CN114611177A (en) * 2022-05-09 2022-06-10 广东时谛智能科技有限公司 Shoe body accessory customization method and device, electronic equipment and storage medium
CN114595492A (en) * 2022-05-10 2022-06-07 广东时谛智能科技有限公司 Sole exclusive customization method, device, equipment and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
个性化鞋靴定制技术方案的实施;关燕 等;《中外鞋苑》;98-103 *
运动功能女浅口鞋底的舒适度设计;张诗慧;周怡;;中外鞋苑(01);91-95 *

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