CN116956524A - Intelligent clothing wiring method and device, medium and intelligent clothing - Google Patents

Intelligent clothing wiring method and device, medium and intelligent clothing Download PDF

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Publication number
CN116956524A
CN116956524A CN202311219729.3A CN202311219729A CN116956524A CN 116956524 A CN116956524 A CN 116956524A CN 202311219729 A CN202311219729 A CN 202311219729A CN 116956524 A CN116956524 A CN 116956524A
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motion
strain energy
wiring
mesh model
model
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郭诗辉
王恺
徐晓宇
周达
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Xiamen University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
    • A41D1/00—Garments
    • A41D1/002—Garments adapted to accommodate electronic equipment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/005—Tree description, e.g. octree, quadtree
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/10—Numerical modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/12—Cloth
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces

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  • Pure & Applied Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computational Mathematics (AREA)
  • Textile Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a wiring method and device of intelligent clothing, a medium and the intelligent clothing, wherein the method comprises the following steps: the method comprises the steps of using a human body model, a grid model of intelligent clothing and preset human body motion data to realize cloth simulation of wearing clothing of a human body in motion, and obtaining the grid model of the intelligent clothing in each frame of motion; determining strain energy of each face of the mesh model relative to the motion; obtaining strain energy of each line of the grid model relative to motion according to the strain energy of each surface of the grid model relative to motion; and constructing a Steiner tree by taking the strain energy of each line relative to the motion as an edge weight and taking the corresponding vertex of each electronic element on the grid model as a terminal, and obtaining the wiring of the electronic element for minimizing the strain energy of the electronic element connection line in the motion aiming at the Steiner tree. By utilizing the technical scheme, the automatic wiring of the intelligent clothing can be realized, and the interference of the wiring of the electronic element in the intelligent clothing to the movement of the human body is minimized.

Description

Intelligent clothing wiring method and device, medium and intelligent clothing
Technical Field
The invention relates to intelligent clothing, in particular to a wiring method and device of intelligent clothing, a medium and intelligent clothing.
Background
Smart garments enhance traditional garments by installing various electronic units including, but not limited to, IMUs, flexible sensors, pressure sensors, haptic actuators, ETC. It is worth noting that many intelligent clothes are tight to ensure close fitting with human skin, avoid sensor displacement and accurately monitor human body state. The electronic components are connected using wired or wireless means such as bluetooth, wiFi, etc. Wired connections are less susceptible to environmental interference than wireless connections, have higher data rates and easier power management.
However, the wiring of the electronic unit inevitably affects the human body's movement, and deformation of the movement drive may also damage the wiring connection upon stretching. Thus, when a user wears the smart garment, the routing layout greatly affects mechanical durability, activity performance, and user experience. Therefore, it is important to optimize the clothing wiring to minimize interference with the user's physical activities, thereby improving user comfort. In order to achieve the above-mentioned purpose, at present, wiring of commercial products is mainly designed by means of trial and error process by means of professional knowledge of professionals, which is low in efficiency and general in effect.
Disclosure of Invention
Embodiments of the present invention provide a wiring method and apparatus for smart garments, a medium, and a smart garment to minimize interference of wiring of electronic components in the smart garment, such as a tight suit, with human body movements.
In one aspect, a wiring method of an intelligent garment is provided, which is used for wiring electronic elements on the intelligent garment, and includes:
using a human body 3D model, a 3D grid model of intelligent clothing and preset human body motion data to realize cloth simulation of the intelligent clothing worn by a human body in motion, wherein the motion corresponds to the human body motion data, the 3D grid model comprises vertexes, lines and faces, and the 3D grid model of the intelligent clothing in each frame of the motion is obtained;
determining strain energy of each face of the 3D mesh model relative to the motion by comparing the 3D mesh model of the smart garment and the 2D model of the smart garment in each frame of the motion, wherein the faces of the 3D mesh model and the 2D model are in one-to-one correspondence;
obtaining strain energy of each line of the 3D mesh model relative to the motion from strain energy of each face of the 3D mesh model relative to the motion;
and constructing a Steiner tree by taking the strain energy of each line relative to the motion as an edge weight and taking the corresponding vertex of each electronic element on the 3D grid model as a terminal, and obtaining the wiring of the electronic element for minimizing the strain energy of the electronic element connection line in the motion aiming at the Steiner tree.
Preferably, the smart garment wiring method, wherein determining strain energy of each face of the 3D mesh model relative to the motion comprises:
determining strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion;
the strain energy of each face of the smart garment relative to the motion is determined from the strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion.
Preferably, the wiring method of the smart garment, wherein determining the strain energy of each face of the smart garment with respect to the movement according to the strain energy of each face of the 3D mesh model with respect to the movement in each frame of the movement comprises:
for each face of the 3D mesh model, the strain energy of each face of the 3D mesh model relative to the motion is obtained in a manner that sums or maximizes the strain energy of each frame of the motion.
Preferably, the wiring method of the intelligent garment, wherein the human motion data is a motion data setEach line of the 3D mesh model is obtained relative to the +.>Strain energy of the corresponding motion:
where e represents any line in the 3D mesh model,representing any line in the 3D mesh model relative to +.>Strain energy of corresponding movement, +.>Representing either face of the 3D mesh model, η being a regularization term of line length; area represents the selected grid area, δ +.>Representing the local neighborhood of line e,/>Is->Relative to and->Corresponding movement ofStrain energy.
Preferably, the wiring method of the intelligent clothing, whereinFor a group of exercises->A constitutive sequence, wherein->I= … L, L is a positive integer, said movement +.>Comprising a set of consecutive human posture frames,,/>is->A number of human gesture frames contained therein, wherein:
，
，
，
，
，
wherein j is a variable, E is Young's modulus,poisson's ratio->Is the Green strain tensor, +.>Is a deformation matrix, said deformation matrix passing +.>And->The difference between is obtained, said +.>Is->In a shape when no movement deformation occurs, said +.>Is->Executive exercise->Shape of time, I is identity matrix, +.>Is->Executive exercise->J-th gesture frame in (3)Strain energy at that time; wherein (1)>And->Is a variable.
Preferably, in the method for routing the smart garment, the local neighborhood of e is a rectangular shape with e as a central line.
Preferably, the intelligent clothing wiring method, wherein the intelligent clothing is close-fitting clothing.
Preferably, the wiring method of the smart garment, wherein obtaining, for the stent, the wiring of the electronic components that minimizes strain energy of the electronic component wires in the movement includes:
calculating a connection of the electronic element on the 3D mesh model for the stanner tree that minimizes strain energy of the connection of the electronic element in the motion;
iterative smoothing of the calculated Steiner tree using spline curves on the 2D model of the smart garment until the curvature of the spline curves is less than a ratio of 2 to the wire width for wiring on the smart garment.
In another aspect, a wiring device for smart garments is provided, comprising a memory and a processor, the memory storing at least one program, the at least one program being executed by the processor to implement a wiring method for smart garments as described in any of the above.
In yet another aspect, a computer readable storage medium having at least one program stored therein, the at least one program being executed by a processor to implement a method of routing a smart garment as described in any of the above.
In yet another aspect, there is provided a smart garment comprising: a plurality of electronic components, wherein the plurality of electronic components are wired using the wiring method of the smart garment as described above.
The technical scheme has the following technical effects:
according to the technical scheme provided by the embodiment of the invention, under the condition that a group of motion data and an intelligent clothing model are given, the cloth simulation of the intelligent clothing in motion is realized, the strain energy of each surface of the clothing model relative to motion is obtained, and the strain energy of each surface relative to motion is converted into the strain energy for representing line stretching, so that the wiring layout of an electronic element on the intelligent clothing can be found through expressing wiring as a Steiner tree problem on a grid of the intelligent clothing model, and the movement resistance caused by the strain energy of the clothing when a user wears the clothing can be furthest reduced, so that the interference of the intelligent clothing to the motion or the activity of people is minimized.
Drawings
FIG. 1 is a conceptual diagram of an overall concept for implementing intelligent garment wiring in accordance with the present invention;
FIG. 2 is a schematic diagram of an overall flow for implementing intelligent garment wiring in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of a wiring method of an intelligent garment according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a wiring device of an intelligent garment according to an embodiment of the present invention.
Detailed Description
For further illustration of the various embodiments, the invention is provided with the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments and together with the description, serve to explain the principles of the embodiments. With reference to these matters, one of ordinary skill in the art will understand other possible embodiments and advantages of the present invention. The components in the figures are not drawn to scale and like reference numerals are generally used to designate like components.
The invention will now be further described with reference to the drawings and detailed description.
According to the invention, by converting the wiring problem of the electronic elements on the intelligent garment into the deformation Steiner tree, namely, the topology optimization problem, different visual angles are provided for realizing automatic wiring of the electronic elements on the intelligent garment; further, the present invention simulates the effect of human body movement on line stretch through area strain, and measures deformation of wiring under human body movement through deformation energy defined at the mesh edge.
Fig. 1 is a schematic diagram of the overall concept of the present invention for implementing intelligent clothing wiring. As in fig. 1, given a set of motion data (a) and vertices (b) on a garment, the goal is to find a wiring layout that connects the vertices while minimizing the motion resistance of a user wearing a smart garment such as a tights; the present invention obtains a wiring layout (d) by analyzing the cloth strain deformation (c) and solving the deformation weighted Steiner tree problem.
Fig. 2 is a schematic diagram of an overall flow for implementing intelligent clothing wiring according to an embodiment of the present invention. Referring to fig. 2, the embodiment of the present invention starts from a motion sequence and a model of smart clothing, performs cloth simulation in motion by using a human body model such as a standard human body SMPL model, then calculates strain energy and solves a deformation weighted stanner tree problem (STP, steiner Tree Problem), wherein the positions of electronic elements correspond to terminal positions, and finally obtains a wiring layout. Further, the results may be validated and evaluated by real-world experimentation.
Fig. 3 is a flow chart of a wiring method of an intelligent garment according to an embodiment of the invention. As shown in fig. 3, the wiring method of the smart garment of this embodiment includes the steps of:
s1, using a human body 3D model, a 3D grid model of the intelligent clothing and preset human body motion data to realize cloth simulation of the intelligent clothing in motion, wherein the motion corresponds to the preset human body motion data, the 3D grid model comprises vertexes, lines and faces, and the 3D grid model of the intelligent clothing in each frame of the motion is obtained;
preferably, the 3D mesh model of the smart garment refers to a 3D mesh model of the smart garment when not in motion, and the 3D mesh model of the mannequin when not in motion is a 3D mesh model of the smart garment worn by the mannequin; preferably, the smart garment is a tight suit; wherein, the 3D mesh model of the garment may be obtained by using a 3D mesh model obtaining method in the prior art, and vertices, lines and faces included in the 3D mesh model are also common concepts known to those skilled in the art, and are not described herein;
preferably, the human 3D model used is a standard human SMPL model;
preferably, the preset human motion data is a motion sequence formed by a group of motions, wherein each motion is formed by a plurality of human gesture frames;
in one implementation, the 3D mesh model of the intelligent garment with motion deformation in each frame during the motion is obtained by importing the 3D model of the human body, the 3D mesh model and preset human body motion data into Marvelous Designer software to realize cloth simulation when the human body wears the intelligent garment to perform the motion in the motion sequence through a virtual character; each frame in motion corresponds to a motion gesture frame contained in the motion;
s2, determining strain energy of each face of the 3D grid model relative to the motion by comparing the 3D grid model of the intelligent clothing and the 2D model of the intelligent clothing in each frame of the motion, wherein the faces of the 3D grid model and the 2D model are in one-to-one correspondence;
using the 2D model of the garment in this step to represent the state of the smart garment when it is at rest or when it is completely undeformed, by this step determining the deformation of the smart garment after the movement, which deformation is represented by strain energy, that occurs on each face of its 3D mesh model with respect to the movement performed; the strain energy is elastic potential energy obtained in the stretching process of a wire connected with the electronic element;
in particular implementations, determining strain energy for each face of the 3D mesh model relative to the motion includes:
determining strain energy of each face of the 3D mesh model in each frame of the motion relative to the motion; and determining the strain energy of each face of the smart garment relative to the motion from the strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion; preferably, the strain energy of each face of the 3D mesh model with respect to the above-mentioned motion is obtained by summing the strain energy of each frame of the above-mentioned motion or taking the maximum value from the strain energy of each frame for each face of the 3D mesh model; of course, the strain energy of each frame may be utilized in other ways, such as various statistical ways, to obtain an overall strain energy that characterizes the deformation of the face throughout the motion, as the case may be;
s3, obtaining strain energy of each line of the 3D grid model relative to the motion according to the strain energy of each surface of the 3D grid model relative to the motion;
s4, constructing a Steiner tree by taking the strain energy of each line relative to the motion as an edge weight and taking the corresponding vertex of each electronic element on the 3D grid model as a terminal, and obtaining the wiring of the electronic element for minimizing the strain energy of the electronic element connection line in the motion aiming at the Steiner tree.
Example two
1. Problem definition
The inventor of the present invention, when converting the wiring problem of electronic components on smart garments into a deformed Steiner tree, i.e., a topology optimization problem, performs the following definition of Steiner tree problem without perceived wiring on smooth surfaces:
given a smooth surfaceAnd->Apexes->By constructing Steiner, a non-perceptible tree can be realized>Its strain energy (edge weight)/(S)>According to a set of movements of length L：
。
The strain energy is the elastic potential energy obtained by the wire during stretching.
Taking into account the complexity of the garment material surface S and the motion data set M in real-world scenarios, it is necessary to discretize it for efficient numerical analysis. To avoid confusion, the inventors use similar notations for the respective concepts in the two definitions, in particular, the Steiner tree problem of no perceived wiring on discrete surfaces is defined as:
given a polygonal meshWherein V and E are the set of vertices and edges of S, respectively, < >>Terminal->By using->Construction of Steiner treeTo achieve the strain energy (edge weight) of unobtrusive wiring>According to a set of movements of length LLength L minimizes:
。
in the definition of the Steiner tree problem without sensing wiring, the inventor focuses not only on the surface, but also discretizes the underlying surface and wiring Steiner tree.
2. Question input
In this embodiment, the inputs include:
(1) A set of motion sequences:wherein the sequence of movements M comprises L movements +.>Sports (sports)Comprising a set of consecutive human posture frames: />；/>Is->The number of human posture frames contained therein;
(2) Smart apparel such as a tight-suit model comprising: a 3D mesh model S and a 2D model; preferably, the 2D model is a 2D pattern model.
In one specific implementation of this embodiment, three different sizes of smart business suit are used, for example: m, L, XL performs the wiring method of the embodiment of the present invention. In this example, the deformation of the smart garment is measured using the 2D model as an un-moved, i.e. un-moved deformation or stationary state of the smart garment, because the pattern mesh of the 2D model is flat and does not involve any deformation.
(3) Group of terminalsRepresenting the electronic components to be connected, refers to the vertices corresponding to each electronic component among the vertices of the 3D mesh model of the smart garment, < >>The number of electronic components to be provided for the smart garment.
3. Deformation weighted Steiner tree problem
Deformation calculation
In order to obtain the surface deformation of the smart garment when performing various movements of the movement, a cloth simulation is performed on the close-fitting suit worn by the virtual character when performing the movements in the movement data set, i.e. the movement set M. And importing a motion sequence generated by a standard human body SMPL model and a motion data set M into Marvelous Designer software to perform cloth simulation, and obtaining the strain energy of each frame of each face of the 3D grid model in corresponding motion. In addition to the Marvelous Designer method, other methods or software with cloth simulation functions may be used to implement the cloth simulation described above to calculate deformation of the cloth surface of the garment.
3.1 Edge weighting based on deformation
A key challenge in maintaining an unobtrusive user experience during physical activity is minimizing strain energy exerted by M-corresponding motions on electrical wires on the garmentDue to->Essentially a Steiner tree in the mesh model S, which can be decomposed into individual contributions of each edge e, where +.>. Therefore, the emphasis is on calculating the strain energy of each side e of the mesh model S>Strain energy of each edge e>Will be the edge weights during the construction of the Steiner tree, where:
where e represents any line in the 3D mesh model,strain energy representing any one line in the 3D mesh model relative to a motion corresponding to the M +.>Representing either face of the 3D mesh model, η being a regularization term of line length; area represents the selectionSelected grid area, delta->Representing the local neighborhood of line e,/>Is->Strain energy relative to motion corresponding to the M; where η is used to avoid excessive redundancy of the lines. />The smaller the value, the straighter or shorter the corresponding selected electronic component connection. The above-mentioned local neighborhood of e is used to simulate the width of a wire such as a metal wire ribbon as a wiring of an electronic component in a display scene. Preferably, the local neighborhood of e is rectangular with e as a central line.
In a specific implementation example, the data set M contains a plurality of human actions, for example 248 human action files, which may cover various movements and dances; the human actions described above may be implemented by a file; the total duration of these action files is up to a plurality of frames, for example 40108 frames, corresponding to 1336.9 seconds; these action files consist of periodic actions with multiple action cycles or discrete actions with complete performances.
Wherein:
，
，
，
，
，
wherein j is a variable, E is Young's modulus,poisson's ratio->Is the Green strain tensor, +.>Is a deformation matrix, said deformation matrix passing +.>And->The difference between is obtained, said +.>Is->In a shape in which no movement deformation, such as a resting state, occurs, said +.>Is->Executive exercise->Shape of time, I is identity matrix, +.>Is->Executive exercise->In j-th gesture frame->Strain energy at that time; wherein (1)>And->Is a variable. Preferably, young's modulus E is set to 5.4MPa and Poisson's ratio v is set to 0.33. In this embodiment +.>Can be obtained by a 2D model. In other implementations, it may also be obtained from a 3D mesh model when the smart garment is not deformed, such as when stationary.
When wiring is realized, regularization term eta affects the result of automatic wiring; wherein increasing the value of η results in a decrease in bus length, i.e., total wire used, but an increase in strain energy whenThe layout converges. By the strain energy of each edge e>The regularization term eta of the wiring can comprehensively consider the total length and the strain energy of the wires used by the wiring, so that the total length and the strain energy of the wiring reach the optimal balance.
3.4 problem solving
Defining edge weightsAfter that, the most advanced Steiner tree algorithm can be used to effectively solve the problem of unobtrusive wiring on the garment, i.e., the problem of minimizing movement resistance. In one embodiment, the paper "Separator-based pruned dynamic pro-gramming for steiner tree (Separator-based Style) published in" Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33.1520-1527 (AAAI Manual Intelligent conference treatise on volume 33, pages 1520-1527) "in 2019 by Yoichi Iwata (rock Tian Yangyi) and Takuto Shimeura (heavy village Tuber) may be employedTanna tree pruning dynamic program). The calculation method utilizes the technology of dynamic planning and pruning, and the calculated Steiner tree is a group of connecting edges on the grid model S. However, its polyline nature often results in uneven and sharp bending points at the end points, i.e. terminals, which hinder wiring in real world scenarios. To solve this problem, in a preferred embodiment of the present invention, it further comprises iteratively smoothing the calculated Steiner tree on the 2D model using spline curves, such as arcs, until its curvature K satisfies: />Wherein->Is the width of the metal filament or wire used to attach the electronic components to the garment. This ensures that the wires do not partially overlap themselves. In one implementation the curvature requirement described above can be easily met by several iterations.
Embodiment III:
the present invention also provides a wiring device for smart clothing, as shown in fig. 4, where the device includes a processor 401, a memory 402, a bus 403, and a computer program stored in the memory 402 and capable of running on the processor 401, where the processor 401 includes one or more processing cores, where the memory 402 is connected to the processor 401 through the bus 403, and where the memory 402 is used to store program instructions, where the processor implements the steps in the method embodiment of the first embodiment of the present invention when the processor executes the computer program.
Further, as an executable scheme, the wiring device of the smart garment may be a computer unit, and the computer unit may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The computer unit may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the constituent structures of the computer unit described above are merely examples of the computer unit and are not limiting, and may include more or fewer components than those described above, or may combine certain components, or different components. For example, the computer unit may further include an input/output device, a network access device, a bus, etc., which is not limited by the embodiment of the present invention.
Further, as an implementation, the processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is a control center of the computer unit, connecting various parts of the entire computer unit using various interfaces and lines.
The memory may be used to store the computer program and/or modules, and the processor may implement the various functions of the computer unit by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Embodiment four:
the present invention also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the wiring method described above in the embodiments of the present invention.
The modules/units integrated with the computer unit may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the legislation and the patent practice in the jurisdiction.
Fifth embodiment:
the invention also provides an intelligent garment, comprising: and the plurality of electronic components are wired by using the wiring method provided by the embodiment of the invention.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (11)

1. A wiring method of an intelligent garment for wiring electronic components on the intelligent garment, comprising:
using a human body 3D model, a 3D grid model of intelligent clothing and preset human body motion data to realize cloth simulation of the intelligent clothing worn by a human body in motion, wherein the motion corresponds to the human body motion data, the 3D grid model comprises vertexes, lines and faces, and the 3D grid model of the intelligent clothing in each frame of the motion is obtained;
determining strain energy of each face of the 3D mesh model relative to the motion by comparing the 3D mesh model of the smart garment and the 2D model of the smart garment in each frame of the motion, wherein the faces of the 3D mesh model and the 2D model are in one-to-one correspondence;
obtaining strain energy of each line of the 3D mesh model relative to the motion from strain energy of each face of the 3D mesh model relative to the motion;
and constructing a Steiner tree by taking the strain energy of each line relative to the motion as an edge weight and taking the corresponding vertex of each electronic element on the 3D grid model as a terminal, and obtaining the wiring of the electronic element for minimizing the strain energy of the electronic element connection line in the motion aiming at the Steiner tree.
2. The method of wiring a smart garment of claim 1, wherein determining strain energy for each face of the 3D mesh model relative to the motion comprises:
determining strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion;
the strain energy of each face of the smart garment relative to the motion is determined from the strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion.
3. The method of wiring a smart garment of claim 2, wherein determining strain energy of each face of the smart garment relative to the motion from strain energy of each face of the 3D mesh model relative to the motion in each frame of the motion comprises:
for each face of the 3D mesh model, the strain energy of each face of the 3D mesh model relative to the motion is obtained in a manner that sums or maximizes the strain energy of each frame of the motion.
4. The method of claim 1, wherein the human motion data is a motion data setEach line of the 3D mesh model is obtained relative to the +.>Strain energy of the corresponding motion:
where e represents any line in the 3D mesh model,representing any line in the 3D mesh model relative to +.>Strain energy of corresponding movement, +.>Representing either face of the 3D mesh model, η being a regularization term of line length; area represents the selected grid area, δ +.>Representing the local neighborhood of line e,/>Is->Relative to and->Strain energy of the corresponding motion.
5. The method of wiring intelligent clothing according to claim 4, wherein the method comprises the steps ofFor a group of exercises->A constitutive sequence, wherein->I= … L, L is a positive integer, said movement +.>Comprising a set of consecutive human posture frames, +.>,/>Is->A number of human gesture frames contained therein, wherein:
，
，
，
，
，
wherein j is a variable, E is Young's modulus,poisson's ratio->Is the Green strain tensor, +.>Is a deformation matrix, said deformation matrix passing +.>And->The difference between is obtained, said +.>Is->In a shape in which no movement deformation occurs, saidIs->Executive exercise->Shape of time, I is identity matrix, +.>Is->Executive exercise->In j-th gesture frame->Strain energy at that time; wherein (1)>And->Is a variable.
6. The method of claim 4, wherein the local neighborhood of e is rectangular with e as a center line.
7. The method of wiring a smart garment according to claim 1, wherein the smart garment is a close-fitting garment.
8. The method of claim 1, wherein obtaining an electronic component wiring for the stent that minimizes strain energy of an electronic component wire in the motion comprises:
calculating a connection of the electronic element on the 3D mesh model for the stanner tree that minimizes strain energy of the connection of the electronic element in the motion;
iterative smoothing of the calculated Steiner tree using spline curves on the 2D model of the smart garment until the curvature of the spline curves is less than a ratio of 2 to the wire width for wiring on the smart garment.
9. A wiring device for smart clothing, characterized by comprising a memory and a processor, the memory storing at least one program, the at least one program being executed by the processor to implement the wiring method for smart clothing according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that at least one program is stored in the storage medium, the at least one program being executed by a processor to implement the wiring method of the smart garment according to any one of claims 1 to 8.
11. A smart garment, comprising: a plurality of electronic components, characterized in that the plurality of electronic components are wired using the wiring method of the smart garment according to any one of claims 1 to 8.
CN202311219729.3A 2023-09-21 2023-09-21 Intelligent clothing wiring method and device, medium and intelligent clothing Pending CN116956524A (en)

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