KR20050093627A - 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.

Description

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

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. Therefore, it is very difficult for women who have various shapes of the rib cage and the shape of the chest to find a product suitable for their breast type or the shape of the rib cage. In particular, there is a situation that the wire of the bra that is to be designed according to the shape of the cup of the bra or the rib shape to be determined according to the volume of the breast does not fit well.

In the current industry, the size of a cup of a bra is determined only by the difference between the chest and the chest, which has a low correlation with the actual measurement using a three-dimensional measuring instrument. 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 general type of breast symmetry, the commercially available wire fits well, but the breast underlined outward type is about 25% of all middle-aged women. As it is not made, it is inconvenient to require a product segmentation for them. In addition, if the cup gap does not fit the wearer, the bra cup may not be placed properly on the chest, which may cause inconvenience.

In order to select the type of bra suitable for the consumer, the shape information about breasts should be sufficient first.However, since women are reluctant to be exposed for measurement, it is not easy to obtain and analyze measurement data by individual measurement. By linking the detailed breast shape with the design of the bra, the main design parameters are the size of the chest and the size of the chest without launching the product. These obstacles prevent women from actively choosing the bra that is right for them. In addition, individual consumers are not aware of the parameters between the data measured by the actual measurement of the shape of their breasts and the type of bra that is suitable for them. One of the reasons why it is difficult for a consumer to directly select a bra suitable for him is that a 3D scanner necessary to accurately analyze the shape of a breast is expensive specialized equipment and there is no research analysis on it.

Accordingly, an object of the present invention is to provide a system for easily selecting a bra suitable for one's own breast shape on a network based on the measurement data of their own breast shape measured by women, in order to solve the conventional problems as described above. Network system for selecting bra type that makes it easy to select a bra suitable for one's breast shape by using a prediction formula that can obtain one-dimensional and two-dimensional measurement data similar to the measurement data by three-dimensional measurement method. And a method of selecting a bra type on a network.

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; It is characterized by consisting of.

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. Is selected.

In the next step, the consumer selects the measurement method from the 1D and 2D measurement methods and the 3D measurement method prior to the measurement to classify his breast shape, and is connected to the prediction server or the determination server according to the selected measurement method. Will be directly linked.

 Prior to the above step, it is also preferable to add a step for explaining a method for searching the position of the measurement points necessary for breast contour and breast measurement.

The measurement is made by measuring between preset measurement points.

Breast contour is defined based on the anatomical morphology of the breast because it is difficult to define because there is no clear boundary. The upper and inner margins are defined as continuous and natural curves, referring to the wrinkles that are created when the breast is pushed up. The main measurement points based on the internal measurement point, the inner edge point, the outer edge point, the upper edge point, the lower edge point, the papillary point, the shoulder bisectoral point, the leading edge point on the front side horizontal line, the front axle point, Waist thickness bisector, I point (the point farthest from the straight line connecting the inner and lower lead points among the curve points from the inner edge point to the lower edge point), O point (the outer edge point of the curve points from the outer edge point to the lower edge point) The farthest point from the straight line connecting the point with the lower edge.

On the other hand, it is also possible to wear the measuring bra as shown in FIG. 4 to reduce the human rights protection of the measured person and the 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 measurement method by three-dimensional measurement can be conveniently measured by three-dimensional shape analysis using a three-dimensional scanner or the like.

The measurements are measured according to the methods described in Lee Hyun-young, Hong Kyung-hee (2002), Methodology Study for Three-Dimensional Breast Shape Analysis in Middle-aged Women, Korean Journal of Clothing Science, 26 (5), 703-714.

The volume of the breast and the radius of curvature of the breast underline are calculated by the measurement and analysis according to the method described in the above document, and the calculated measurement data is shown in the exemplary diagram on the Internet program showing the anthropometric items to be input during the three-dimensional measurement of FIG. The breast type is determined in a determination server that determines a breast type of a client based on the volume of the breast and the radius of curvature of the breast, which are input to the illustrated input field and interlocked with a network to receive measurement data. Is determined.

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- and two-dimensional measurements include chest circumference, chest circumference, nipple height, interval between inner edge points / 2, each inner edge point ~ I point ~ outer edge point, each lower edge point ~ O point ~ outer edge point, inner edge point -Lower lead straight line distance, Lower lead point-External edge straight line distance, External lead length, Nipple point-Internal edge point straight distance, Nipple point-External edge point straight distance, Nipple point-Lower edge point straight distance, Nipple point-Upper edge point straight distance, Nipple It is illustrated as the point-inner edge surface distance, nipple point-external edge surface distance, nipple point-lower edge point surface distance, nipple point-upper edge point surface distance, and the data are input to the human body when inputting the 1D and 2D human body measurement of FIG. As shown in the example of an Internet program showing the measurement items, each measurement item is inputted and stored in a data receiving unit which is connected to a network to receive measurement data, and predicts the volume of breast and the radius of curvature of the breast as the measurement data. Linked to predictive server for Then, the determination server for determining the breast type of the client extracts the breast volume and the curvature radius prediction value of the breast underline to determine the breast type, and the prediction result predicted from the prediction server is displayed on the client as shown in FIG. 7.

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.

8 is a schematic diagram of a method for predicting three-dimensional breast volume using a length parameter, and FIG. 9 is an explanatory view of a volume calculation method of the upper part in a three-dimensional breast volume prediction method 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.

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))

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. 9 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 predicted by inputting the length and angle of the corresponding 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 (internal point ~ I point ~ lower lead point), x ₂ is linear distance between inner lead point and lower edge point, x ₃ is the straight line distance from lower edge point to outer edge point, x ₄ is the lower edge point ~ O point ~ outer edge Point, x ₅ is the outer edge length / (lower edge to the outer edge linear 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 discrimination is completed from the discrimination server, the recommendation server associated with the discrimination server recommends a bra type suitable for the discriminated breast type, as shown in FIG. 10, to indicate the shape characteristics of the breast of the consumer.

If the data input at the humanization stage is also built as a database, it can be used as basic data for future product development.

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.

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. Appearance view of an anthropometric bra.

Figure 5 is an exemplary program on the Internet showing an anthropometric items to be input during the three-dimensional anthropometry.

Figure 6 is an exemplary program on the Internet showing an anthropometric items to be input during the 1-dimensional and 2-dimensional human measurement.

Figure 7 is an exemplary program on the Internet showing the results of the predicted volume and radius of curvature during one- and two-dimensional measurements.

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

9. Explanatory drawing of the volume calculation method of the upper part in the 3D breast volume prediction method using a length parameter.

10. An exemplary view of the 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

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