KR100553844B1 - System for the Selection of Brassieres Depending on Breast Types, and Method thereof - Google Patents

Abstract

The present invention relates to a network system and a method for selecting a bra type, the system according to the invention is connected to the network network and the client for transmitting and receiving data through the network network; A network system for selecting a bra type comprising a server providing information requested by the client when the client connects through the network, the server comprising: a bra type database for selecting a preferred bra type; A data receiving unit which receives measurement data by one-dimensional and two-dimensional measurement or three-dimensional measurement between measurement points set by a client; A prediction server for predicting the volume of the breast and the radius of curvature of the breast underline based on the measured data by the 1D and 2D measurements; A discrimination server for determining the breast type of the client based on the volume of the breast and the radius of curvature of the breast underline which are measured data predicted from the prediction server or measured by three-dimensional measurement; A recommendation server recommending a bra type suitable for the identified breast type; It is characterized by consisting of.

Bra, Breast, Breast Type, Selection System, Network, Server

Description

System for the Selection of Brassieres Depending on Breast Types, and Method             

1 is a block diagram of a system for selecting a bra type in accordance with the present invention.

Fig. 2. A diagram of a bra selection scheme in a network of bras in accordance with the present invention.

Figure 3 shows the location of major measurement points.

4. A diagram showing the positions of major measurement points.

5. Appearance of the bra for an anthropometry.

6. An exemplary diagram on an internet program showing an anthropometric items to be input when measuring a 3D human body.

Figure 7 is an exemplary view on the Internet program showing the anthropometric items to be input during the 1-dimensional and 2-dimensional human measurement.

8. Exemplary figure on the Internet program showing the results of the predicted volume and radius of curvature in 1 and 2D measurements.

9. Schematic for prediction of three-dimensional breast volume using the length parameter.

10. An explanatory diagram of a volume calculation method of the upper edge portion in the 3D breast volume prediction method using the length parameter.
11. Summary of Consumer Breast Types Using Flowchart.
12. Example output of results of an Internet program.

Explanation of symbols on the main parts of the drawing

100-Server 101-Bra Type Database

102-data receiving unit 103-prediction server

104-Discrimination Server 105-Referral Server

106-Data Storage 200-Client

In the conventional bra production, the development standard is too simplified, and the product design and purchase have been made collectively by predicting the volume of the breast with only the chest and the chest. In particular, bras are designed to fit the breast shape of women in their 20s with ideal breast shapes, and then products are released through grading processes that simply enlarge or reduce the size, so that many women with various rib and breast shapes The reality is that it's hard to find a product that fits your breast or rib shape. In particular, the cup of the bra, which is determined by the volume of the breast, as well as the wire of the bra, which should be designed according to the curved shape of the breast and the rib cage, are often incompatible with the shape of the breast.

Nevertheless, the size of the bra cup is still determined only by the difference between the circumference of the chest and the circumference of the chest. Accordingly, a method of measuring breast volume and introducing it into an actual bra is an urgent task. In addition, in the case of the wire, if the shape of the wire does not fit well to the shape of the breast of the wearer, the wire may not support the breast properly by pressing, stabbing or lifting the breast, and it is unpleasant to the wearer. Do. In addition, in the case of the general type with the symmetrical underline of the breast, the bra wire or wire design considering the body shape is considered to be about 25% of the middle-aged women in the case where the wire is well matched, but the underlined outward type is about 25% of all middle-aged women. No segmentation of the product for them is essential. In addition, if the cup gap does not suit the wearer, the bra cup will not be placed properly on the chest, and no matter how well designed the cup or wire is, it is not useful for the gap between the two cups.

In order to solve these problems, first of all, the form information about the breast should be sufficient. However, three-dimensional measurement is essential because only one or two-dimensional measurement parameters such as length or angle cannot obtain sufficient information about three-dimensional breast shape. However, three-dimensional measuring equipment is rarely owned by expensive specialist equipment and rarely can be analyzed by experts. Therefore, it is necessary to develop a bra through three-dimensional information of the breast, but it is also necessary to develop a system that can easily predict the three-dimensional information of the breast by using only existing measurement items.
Also, in the measurement to obtain such information, women are reluctant to directly expose the breast, so it is necessary to develop clothes that can be measured while minimizing the exposure.

Accordingly, an object of the present invention is to provide a system that enables women to easily recommend a bra type suitable for their body shape on a network using breast measurement data. It also aims to provide accurate breast information and breast type discrimination without the need for three-dimensional measurement equipment by providing a predictive formula that can calculate data such as volume, which was possible only by three-dimensional measurement, with only one-dimensional and two-dimensional measurement data. ..

The present invention relates to a network system and a method for selecting a bra type, the system according to the present invention is connected to the network network client 200 for transmitting and receiving data through the network network; In a network system for selecting a bra type comprising a bra selection server 100 that provides information requested by the client when the client is connected through the network, the bra selection server selects a preferred bra type from the client. A bra type database 101 providing a bra type to facilitate; A data receiving unit 102 for receiving measurement data by one-dimensional and two-dimensional measurement or three-dimensional measurement between measurement points set by the client 200; A prediction server (103) for predicting the volume of the breast and the radius of curvature of the breast underline based on the measured data by the 1D and 2D measurements; A discrimination server 104 for determining a breast type based on the volume of the breast and the radius of curvature of the breast underline which are measured data predicted from the prediction server 103 or measured by three-dimensional measurement; A recommendation server 105 for recommending a bra type suitable for the identified breast type; And a data storage unit 106 that stores the information collected by the data receiving unit 102.

In addition, the bra selection method in the network according to the breast type in the present invention comprises the steps of receiving a preferred bra type from the client; Receiving human body measurement data using a measurement point set from a client; Determining a breast type based on a volume of the breast and a radius of curvature of the underline of the breast; Recommending a bra type suitable for the identified breast type; Characterized in that consists of.

  1 is a block diagram of a system for bra type selection in accordance with the present invention, and FIG. 2 is a diagram of a bra selection system in a network of bras in accordance with the present invention.

First, the bra type database, which allows clients and servers to connect over the network to select the bra type from the bra selection server, includes: full cups, 3/4 cups, 1/2 cups, shapes with wires, no wires, A group of bra types that are displayed and illustrated by items such as a normal type of sewing, a mold made of a seamless cup, a thin layer pad, a partial pad insert, a comfortable bra, a high-calibration bra, and the like. This is selected (S11).

In the following step, after the description of the breast contour detection and measurement point setting method (S12), the measurement method is selected from the 1D and 2D measurement methods and the 3D measurement method (S13), and the anthropometric values are respectively determined according to the selected measurement method. Through the input step (S14, S15) is linked to the prediction server (S16) or directly to the determination server (S17). And the humanoid measurements are built into the database (S19) and can be used as data for future product development.

S12 of the above steps includes a description of a method of searching for the position of the measurement points required for contour detection and measurement of the breast, and may further provide a detailed description.
3 is a diagram illustrating a method for searching a contour of a breast. Before the measurement, the contour of the breast and the position of the measurement point must be searched. Since the upper and inner sides of the breast have no clear boundary, it is difficult to define the contour, so the wrinkles generated when the breast is pushed up are used. The upper margin, the upper margin of the breast, marks the contour of the breast when it is pushed upward, and the inner margin, the inner margin, can be defined using the wrinkles that occur when the breast is pushed inward. The outer edge can be defined as a continuous and natural curve along the shape of the deltoid muscle that becomes hard and arches when the arm is put on the waist and the front axillary force is applied. The lower margin of the breast is not difficult to define as the contour is clearer than the other parts. Once the contours of the breast are all defined, the positions of the major measurement points are defined as shown in FIG. 4.

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The main measurement points for breast measurement include the internal edge, the outer edge, the upper edge, the lower edge, the nipple, the shoulder bisector, the leading edge on the horizontal line, the front axillary point, the waist thickness bisector, and the I point (from the inner edge to the lower edge). Points farthest from the straight line connecting the inner and lower lead points among the points on the curve up to and point O (the point farthest from the straight line connecting the outer and lower edges from the curves from the outer edge to the lower edge) There is). Among these, the nipple point is defined as the center of the nipple, the lower margin is the lowest point in the lower margin, and the upper margin is defined as the uppermost point in the upper margin. Anterior axillary point is an anterior point of the armpit where the arm and torso begin to separate and define the point where the middle height horizontal line between this point and the lower point meets the inner edge and the point where the inner edge meets the outer edge. . The bisecting point of the neck and shoulder point is called the shoulder bisection, and the point where the shortest line connecting this point and the nipple point meets the horizontal line passing through the shoulder bisector is defined as the leading point on the horizontal line of the forearm. In the present invention, the anatomical staging point is used, but the industry uses the stinging point on the forearm horizontal line instead of the anatomical staging point. Waist thickness bisector is the bisector of the waist thickness at the side of the body. In addition, to define the curvature of the underline of the breast, the internal edge, the lower edge, and the points I and O described above are used. In addition, the linear distance in the measurement values is the distance when two points are connected in a straight line, and the surface distance is the distance when the two points are connected by a curve passing over the surface of the shortest distance. The mean radius of curvature is defined as the radius of the circle passing through three points.

On the other hand, it is also possible to wear a measuring bra as shown in FIG. 5 in order to reduce the human rights protection of the measured person and objection to the measurement in the nude state. In order to correct the sewage form of the breast and to facilitate the location of the contour and measurement point of the breast, the anatomical bra is preferably made of a string or a transparent material and an opaque elastic material is applied to the nipple part. And, it is desirable to be able to adjust the shoulder strap or fastening portion to be worn by people of various body types.

The volume of the breast and the radius of curvature of the underline of the breast are calculated, and the calculated measurement data is entered in an input box of an exemplary diagram on the Internet program showing the anthropometric items to be input during the 3D measurement of FIG. 6. The input measurement data is interworked with a network and stored in a data receiving unit for receiving measurement data. The measurement data is transferred to a determination server for determining a breast type of a client, and the breast type is determined.

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On the other hand, when it is difficult to obtain the measurement data by the three-dimensional measurement method, it is possible to predict the volume of the breast and the radius of curvature of the breast based on the measurement data by the one-dimensional and two-dimensional measurement.

Data measured in one-dimensional and two-dimensional measurements include chest circumference, chest circumference, teat height, interval between inner edges / 2, angle (inner edge ~ I point ~ outer edge point), angle (lower edge point ~ O point ~ outer edge point) ), Inner edge ~ lower edge straight line, lower edge ~ outer edge straight line, outer edge length, nipple point-inner edge point straight distance, nipple point-outer edge point straight distance, nipple point-lower edge point straight distance, nipple point-upper edge point Linear distance, nipple point ~ inner edge surface distance, nipple point ~ outer edge surface distance, nipple point-lower edge surface distance, nipple point-upper edge surface distance are illustrated and the data are shown in the one-dimensional and two-dimensional anthropometry of Figure 7 As shown in the example of the Internet program showing the human body measurement items that are inputted at the time, each measurement item is inputted and stored in a data receiving unit which is connected to a network and receives measurement data. Prediction server for predicting radius of curvature In the determination server for determining the breast type of the client, a breast volume and a curvature radius prediction value of the breast underline for extracting the breast type are extracted, and the prediction result predicted from the prediction server is displayed on the client as shown in FIG. 8.

In the case of using 1-dimensional and 2-dimensional measurement, the method used to predict the radius of curvature of the breast volume and the underline of the breast using the inputted body shape information is as follows.

FIG. 9 is a diagram illustrating a method of predicting 3D breast volume using a length parameter, and FIG. 10 is an explanatory view of a volume calculation method of the upper part in a method of predicting 3D breast volume using a length parameter. It is a longitudinal section shape and the right side shows a three-dimensional breast volume prediction method using the length parameter of the actual breast section. The functions for calculating the volume are as follows.

이라 할 때, 호(

)를 포함하는 원의 반지름(

)은

이고,

이므로 식1)을 수치해석에 의해 구할 수 있다.Point B (0, b) is called the nipple point, and point A (a, 0) is one of the upper edge, inner edge, lower edge, and outer edge, and the point A (upper edge, inner edge, lower edge, Surface distance to the outer edge)

When I say ho (

Radius of a circle containing

)silver

ego,

Equation 1) can be obtained by numerical analysis.

On the other hand, the coordinates (α, β) of the center point C of the circle can be obtained using the fact that the slope product of two line segments orthogonal to the Pythagorean theorem is -1. (Equation 2), 3))

, α, β의 값으로 원의 방정식을 만든 후

에 대해 정리하면 식 4)와 같다. O~B구간의 부피만을 구하면 되므로 식 5)와 같이 적분에 의해 유방의 부피(

)를 구할 수 있다. 여기서

의 값은 유두높이에 해당한다. Obtained above

After making the circle equation with the values of, α, β

In summary, Equation 4) is obtained. Since only the volume of the O ~ B section needs to be obtained, the volume of the breast by

) Can be obtained. here

Is the nipple height.

Using this method, four volumes using the upper, inner, lower, and outer edges are obtained, and each of them is taken 1/4 to make the combined volume as the volume of the breast. However, in case of the human body nude as shown in FIG. 10 when the upper edge is so we have a concave shape relative to the other parts of the upper edge portion of the volume calculated using the above equation _{(V 1 + V 2 + V} 3) V 1 + Use the volume with the volume removed by V ₂ .

The formula for the prediction of the internal curvature radius and the external curvature radius of the breast line is as follows. The internal curvature radius and the external curvature radius can be estimated by inputting the length and angle of the parameters.

 Prediction

Internal combustion radius of curvature _{= 2.050 x 1 + 0.898 x 2} - 298.982 (R 2 = 98.0%)

Outer radius of curvature _{= 0.620 x 3 + 1.203 x 4} + 78.733 x 5 - 240.170 (R 2 = 94.3%)

[x ₁ is angle (internal point ~ I point ~ lower lead point), x ₂ is linear distance between inner lead point and lower lead point, x ₃ is linear distance from lower lead point to outer edge point, x ₄ is angle (lower lead point ~ O) Point ~ outer edge point), and x ₅ is the outer edge length / (lower edge point ~ outer edge line distance).]

The determination server for determining the breast type of the client based on the volume of the breast and the radius of curvature of the breast, which are predicted from the prediction server based on the measurement data by the 1D and 2D measurement, or the measurement data by the 3D measurement, Judging the breast type of the client.

The discriminant server decides which type of breast the consumer belongs to through the following three stages of discrimination. Whether the wire curvature characteristics are asymmetrical styles that are outwardly symmetrical or close to symmetrical, the gap between the cups is narrow or wide.

For example, the 80A size is used as a discriminant for the breast type.

Step 1: Type determination by volume.

_{D VL = 1.519E-4 × y} 1 - 50.666, D VS = 1.076E-4 × y 1 - 25.753

[y ₁ is the volume]

From the above equation, D _VL > D _VS is a bulky type and D _VL <D _VS is a small type.

Step 2: Type discrimination based on curvature radius.

_{D CS = 1.081y 2 + 0.539y 3} - 71.219, D CN = 0.869y 2 + 0.719y 3 - 62.555

[y ₂ is internal curvature radius, y ₃ is external curvature radius]

Where D _CS > D _{CN, the} breast line is outwardly biased, and if D _CS <D _{CN, the} breast line is symmetrical.

Step 3: Type discrimination by (distance between internal combustion points) / 2.

_{D DC = 0.546y 4 - 2.249,} D DF = 1.771y 4 - 17.044

[y ₄ is (interval between internal combustion points) / 2

D _DC > D _DF is a narrow cup gap type, D _DC <D _DF is a wide cup gap type.

When the determination is completed from the determination server, as shown in FIG. 11, the characteristics of the breast type of the consumer are shown at a glance. The recommendation server associated with the determination server recommends a bra type suitable for the identified breast type as shown in FIG. 12.

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According to the network system and method for selecting a bra type according to the present invention, it is possible to easily select a bra suitable for the breast shape on the network based on the measurement data of the woman's own breast shape on the network. Based on this, it is effective to easily and accurately select a bra that is suitable for oneself online as well as offline.

In addition, suppliers of bras can effectively supply bras that better fit the body of various consumers based on the inputted data, and can identify the types of bras preferred by consumers and facilitate the construction of a database of their body types. This can be of great help, especially in the production of custom bras and functional bras.

Claims (9)

A client 200 connected to a network and transmitting and receiving data through the network; In the network system for selecting a bra type consisting of a bra selection server 100 that provides the information requested by the client when the client is connected through the network network, The bra selection server includes a bra type database 101 for selecting a preferred bra type; A data receiving unit 102 for receiving measurement data by one-dimensional and two-dimensional measurement or three-dimensional measurement between measurement points set by the client 200; A prediction server (103) for predicting the volume of the breast and the radius of curvature of the breast underline based on the measured data by the 1D and 2D measurements; A discrimination server 104 for determining a breast type based on the volume of the breast and the radius of curvature of the breast underline which are measured data predicted from the prediction server 103 or measured by three-dimensional measurement; A recommendation server 105 for recommending a bra type suitable for the identified breast type; Network system for selecting a bra type, characterized in that consisting of. The method of claim 1, Network system for selecting a bra type characterized in that the measurement data by the three-dimensional measurement between the measurement point set from the client 200 uses a three-dimensional scan. The method of claim 1, Predictive server for predicting the volume of the breast and the radius of curvature of the breast base on the basis of the measurement data by one-dimensional and two-dimensional measurement network system for selecting a bra type, characterized in that using the following equation.  Prediction Internal combustion radius of curvature _{= 2.050 x 1 + 0.898 x 2} - 298.982 (R 2 = 98.0%) Outer radius of curvature _{= 0.620 x 3 + 1.203 x 4} + 78.733 x 5 - 240.170 (R 2 = 94.3%) [x ₁ is angle (internal point ~ I point ~ lower lead point), x ₂ is linear distance between inner lead point and lower lead point, x ₃ is linear distance from lower lead point to outer edge point, x ₄ is angle (lower lead point ~ O Point ~ outer edge point), and x ₅ is the outer edge length / (lower edge point ~ outer edge line distance).] The method of claim 1, The discrimination server is a network system for selecting a bra type, characterized in that the type discrimination by volume, the type discrimination by the radius of curvature, the type discrimination by the interval / 2 between the inner edge point. The method of claim 1, In order to select the type of bra characterized in that it further comprises a data storage unit 106 for storing the measurement data so that the measurement data by one-dimensional and two-dimensional measurement or three-dimensional measurement can be utilized as the basic data of product development. Network system. Receiving a preferred bra type from a client; Receiving human body measurement data using a measurement point set from a client; Predicting a volume of a breast and a radius of curvature of a breast underline based on the measured data; The size of the breast is judged by the volume of the breast, and then, based on the radius of curvature of the breast, whether the breast underline is symmetrical or outwardly biased. Determining a breast type; Recommending a bra type suitable for the identified breast type; Bra selection method according to the type of breast on the network, characterized in that consisting of. The method of claim 6, The method of selecting a bra according to a breast type on a network, wherein the measured data of the human body is one-dimensional and two-dimensional measurement or measurement data by three-dimensional measurement. The method of claim 7, wherein 3. The method of selecting a bra according to breast type on a network, wherein the measurement data by three-dimensional measurement received from a client uses a three-dimensional scan. The method of claim 7, wherein A method of selecting a bra according to breast type on a network, wherein the breast volume and the radius of curvature of the breast underline are predicted using the following prediction equations from the measurement data obtained by 1-dimensional and 2-dimensional measurement.  Prediction Internal combustion radius of curvature _{= 2.050 x 1 + 0.898 x 2} - 298.982 (R 2 = 98.0%) Outer radius of curvature _{= 0.620 x 3 + 1.203 x 4} + 78.733 x 5 - 240.170 (R 2 = 94.3%) [x ₁ is angle (internal point ~ I point ~ lower lead point), x ₂ is linear distance between inner lead point and lower lead point, x ₃ is linear distance from lower lead point to outer edge point, x ₄ is angle (lower lead point ~ O Point ~ outer edge point), and x ₅ is the outer edge length / (lower edge point ~ outer edge line distance).]

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