KR20170057765A - Recommendation system for pillow - Google Patents
Recommendation system for pillow Download PDFInfo
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- KR20170057765A KR20170057765A KR1020150161330A KR20150161330A KR20170057765A KR 20170057765 A KR20170057765 A KR 20170057765A KR 1020150161330 A KR1020150161330 A KR 1020150161330A KR 20150161330 A KR20150161330 A KR 20150161330A KR 20170057765 A KR20170057765 A KR 20170057765A
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- pillow
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- 238000000034 method Methods 0.000 claims description 21
- 239000000463 material Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 230000037237 body shape Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 7
- 230000001815 facial effect Effects 0.000 description 6
- 210000003128 head Anatomy 0.000 description 4
- 206010019233 Headaches Diseases 0.000 description 3
- 231100000869 headache Toxicity 0.000 description 2
- 206010016059 Facial pain Diseases 0.000 description 1
- 206010028391 Musculoskeletal Pain Diseases 0.000 description 1
- 208000007613 Shoulder Pain Diseases 0.000 description 1
- 206010041235 Snoring Diseases 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 210000001061 forehead Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 210000004197 pelvis Anatomy 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- H04N5/225—
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- Tourism & Hospitality (AREA)
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- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Child & Adolescent Psychology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
- Development Economics (AREA)
Abstract
The present invention relates to a pillow recommendation system, wherein a pillow recommendation system according to the present invention comprises a measuring member including length information of at least one of a longitudinal direction and a lateral direction, and at least one of a side surface and a front surface A first image photographing means for photographing an image; A pillow recommending means for analyzing user body information including a cervical spine height from an image of a user photographed by the first image photographing means to select a pillow to be recommended to a user; A second image photographing means for photographing an image of a user taking a sleeping posture using a recommended pillow under a sleeping environment; And suitability determining means for calculating a degree of conformity of the recommended pillow through the sleep state image of the user photographed by the second image photographing means.
The pillow recommending system according to the present invention can recommend a pillow by measuring basic information about the body shape through a camera image at a pillow shop or the like without contacting the body through the image photographing apparatus.
Description
The present invention relates to a pillow recommendation system, and more particularly, to a system for recommending a pillow through an image obtained through photographing without a physical contact with a user.
When lying down, the weight of a person is dispersed to 8% of head, 33% of chest, 44% of pelvis and 15% of legs. For a person weighing 70 kg, the pillow will hold 5,6 kg, so it is advisable to use a pillow of appropriate elasticity. Too much fluffy or hard is not good, too rigid nerves are pressed and narrowed blood vessels, which interfere with blood circulation. Also, if it is too soft, it will not support the cervical spine, and it will give the neck to the crowd.
Generally, when a biased pillow is used, the cervical vertebrae are pressed, and headaches and snoring occur. When unbalanced pillows are used, a headache or shoulder pain is caused. When the chin is high, it becomes a bad condition such as swelling of the face or head pain.
Therefore, in order to have a good pillow condition, it is necessary to support the back and neck part flexibly, to keep the neck bone in C shape properly, to prevent the back of the head from being cleaved on either side, to prevent the pressure of the cervical spine, And ventilation should be provided.
In particular, modern people use computer or smart phone, so it is easy to catch on neck disk. The neck disk is a cervical disease that occurs in the neck. It is becoming more and more dangerous for the students who are working in computers or smart phones for a long time in the wrong posture and students who are studying in school.
For this reason, it is very important to use a pillow that is suitable for your body type.
The present invention provides a system for recommending a pillow by measuring basic information about a body shape through a camera image at a pillow shop or the like without requiring physical contact.
In addition, the present invention provides a system which can determine whether a recommended pillow is suitable for a customer by providing a means for experiencing and verifying a recommended pillow.
A pillow recommending system according to the present invention includes first image photographing means for photographing at least one of a side face and a front face of a user in a line posture together with a measuring member including length information of at least one of longitudinal direction and lateral direction; A pillow recommending means for analyzing user body information including a cervical spine height from an image of a user photographed by the first image photographing means to select a pillow to be recommended to a user; A second image photographing means for photographing an image of a user taking a sleeping posture using a recommended pillow under a sleeping environment; And suitability determining means for calculating a degree of conformity of the recommended pillow through the sleep state image of the user photographed by the second image photographing means.
And customer information input means for inputting at least any one of customer related information such as a sleeping habit of a user, a sleeping posture, a preferred pillow material, a mattress information in use, a preferred mattress information, and a preferred price range.
Also, the pillow recommending means can recommend the pillow by reflecting the customer related information collected by the customer information input means.
And a reference point input means for receiving a reference point for measuring a cervical spine height, a cervical spine length, a protruding length, a support depth, and a minimum support width on an image of a user taken by the first image capturing means from an administrator.
The suitability determining unit may determine whether the recommended pillow is suitable by comparing the angle of the face of the image photographed by the first image photographing unit and the image photographed by the second image photographing unit.
Also, the suitability determining means may determine that the recommended pillow is suitable when the facial angle of the image photographed by the second image photographing means forms an angle of 4 to 6 degrees with respect to the horizontal plane.
In addition, the suitability determining means may determine whether the recommended pillow is suitable from the image of the second image taking means, from a line bending state leading to the back of the user, neck, shoulder, and upper body of the user.
In addition, the suitability determining means may provide at least one of customer information, recommended pillow information, images captured by the first image capturing means, and images captured by the second image capturing means together with the result of the suitability determination.
Also, the measurement member including the length information of at least one of the longitudinal direction and the lateral direction may be any one of a grid display member whose length information is displayed and a gap information between unit cells is known.
The pillow recommending system according to the present invention can recommend a pillow by measuring basic information about the body shape through a camera image at a pillow shop or the like without contacting the body through the image photographing apparatus.
In addition, the pillow recommendation system according to the present invention includes means for experiencing a recommended pillow and verifying the recommended pillow, thereby determining whether the recommended pillow is actually suitable for the customer.
1 is a block diagram illustrating a pillow recommending system in accordance with one embodiment.
2 is a flowchart illustrating a pillow recommendation process using a pillow recommendation system according to an embodiment of the present invention.
FIGS. 3 and 4 are schematic views showing images of a user in a normal posture according to another embodiment; FIG.
5 is a schematic diagram for explaining a reference point received from an administrator;
6 is a schematic view showing an example of an image of a user photographed in a sleeping posture.
FIG. 7 is a schematic diagram for explaining a process of comparing a first shot image and a second shot image according to an embodiment.
8 and 9 are schematic diagrams for explaining a method of comparing a first shot image and a second shot image according to another embodiment.
BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the absence of special definitions or references, the terms used in this description are based on the conditions indicated in the drawings. The same reference numerals denote the same members throughout the embodiments. For the sake of convenience, the thicknesses and dimensions of the structures shown in the drawings may be exaggerated, and they do not mean that the dimensions and the proportions of the structures should be actually set.
A concrete pillow recommending system will be described with reference to FIG. 1 is a block diagram illustrating a pillow recommending system in accordance with one embodiment.
The customer information input means 110 is configured to input at least one of customer's related information such as sleeping habit, sleeping position, preferred pillow material, mattress information in use, preferred mattress information, The customer information is acquired through the process of receiving the customer information.
The first image photographing means 120 photographs at least one of the side face and the front face of the user in the line posture together with the measuring member including the length information of at least one of the longitudinal direction and the lateral direction. In this case, the measurement member may include a grid whose length information is indicated or a grid whose gap between unit cells is known in advance. A detailed description thereof will be described later with reference to the accompanying drawings.
The reference point input means 125 inputs the cervical spine height, the cervical spine length, the protruding length, the support depth, and the cervical spine on the image of the user photographed by the first image capturing means 120 and / or the second image capturing means 140, It is a component for receiving the reference point for measuring the minimum support width. The reference points inputted by the reference point input means 125 are used as reference points for measuring the user's body characteristics for the recommendation of the pillow. In addition, it is also possible to receive a reference point such as a facial angle to be measured in order to determine suitability of the pillow in the suitability determining means 150 described later.
The pillow recommending means 130 analyzes the user's body information including the cervical spine height from the image of the user photographed by the first image photographing means 120 to select a pillow to be recommended to the user. Preferably, a pillow is recommended to measure the height of the cervical spine so that when the user takes a sleeping posture using a pillow, the angle of the head is not turned or tilted.
In addition, the pillow recommending means 130 may recommend the pillow by reflecting the customer related information collected by the customer information input means. For example, the pillow recommending means 130 may recommend a pillow reflecting factors other than the user's sleeping habits, sleeping posture, preferred pillow material, in-use mattress information, preferred mattress information, and preferred price range.
The second image photographing means 140 photographs an image of a user in a sleeping environment, that is, in a sleeping environment, that is, a pillow is cut on a mattress. The reference point input means 125 described above may be used to receive a reference point for measuring the user's body characteristics from the manager.
The suitability judging means 150 compares the sleep state image of the user photographed from the second image photographing means 140 or the sleep state image of the user photographed from the first image photographing means 120 to the suitability of the recommended pillow .
Specifically, the suitability determining means 150 compares the face angle of the image photographed by the first image photographing means 120 and the image photographed by the second image photographing means 140 to judge whether the recommended pillow is suitable or not can do. For example, when the images photographed by the first image photographing means 120 and the images photographed by the second image photographing means 140 are arranged side by side, Facial Angle Contrast Compares the facial angle of the pillow in the lying position and judges the suitability of the recommended pillow. It is also possible to rotate the image photographed by the first image photographed means 120 and compare the photographed image with the photographed image by the second image photographed means 140.
In addition, the
Suitability determining means 150 may provide a final result report. That is, the suitability determining means 150 may provide the customer information, the recommended pillow information, the images photographed by the first image photographing means and the second image photographing means together with the result of the conformity judgment.
The process of recommending a pillow according to one embodiment will be described in detail with reference to FIGS. 2 to 9. FIG. FIG. 2 is a flowchart illustrating a pillow recommendation process using a pillow recommendation system according to an exemplary embodiment of the present invention. FIG. 3 and FIG. 4 are schematic views illustrating images taken by a user in a pre- And Fig. 5 is a schematic diagram for explaining a reference point received from the manager. 7 is a schematic view for explaining a process of comparing a first shot image and a second shot image according to an embodiment, and FIGS. 8 and 9 are schematic views for explaining a process of comparing a first shot image and a second shot image according to an embodiment. 9 is a schematic diagram for explaining a method of comparing a first shot image and a second shot image according to another embodiment.
First, customer information collection is collected (S100). As described above, at least one of the user's sleeping habits, the sleeping position, the preferred pillow material, the mattress information in use, the preferred mattress information, and the preferred price range is selected from the process of identifying the user such as login through the customer information input means 110 One customer input information.
At this time, various methods such as a method of collecting customer information in a store, a method of receiving a check on a smart pad, and the like can be used.
Next, primary image information is collected (S200). Takes an image of the user in a standing posture with the measuring member.
3, an image of the user is photographed together with a person whose length is indicated or an image of the user is photographed together with a grid whose unit cell length is known, as shown in FIG.
When an image of the user is captured together with the measurement members, the actual distance per pixel on the acquired image can be calculated, and the dimensions related to the user's body characteristics can be measured on the image.
On the other hand, the primary image information can capture the user's side and / or frontal view.
For example, a customer who has a habit of lying down often shoots a side view from a standing posture, while a customer who has a habit of lying down takes a front view from a standing posture. It is also possible to take a pair of pillows for each of the sleeping posture or the sleeping posture for sleeping together.
Next, the pillow is recommended along with the analysis of the primary image information (S300). First, as shown in FIG. 5, a reference point on an image is input from an administrator for analysis of the photographed image.
The cervical vertebra means the cervical vertebra, and the cervical vertebra means the minimum distance from the C6 to the deepest point P1 of the C1, based on the vertical line from C7 which is the lowest part P2 of the cervical vertebra. That is, the reference point can receive input by displaying a reference point such as the deepest point P1, the lowermost portion P2 of the cervical vertebrae, the upper projection P4, and the lower projection P3 on the image.
As described above, the cervical spine height (L1) is the biggest factor in determining the height of the pillow. In addition, a second measurement length (L2) (cervical length) and a third measurement length (L3, support length) can be used to determine an additional dimension of the pillow such as a short side length of the pillow.
Also, at this time, the pillow can be recommended by reflecting the customer related information collected by the customer information input means. Selection of a recommended pillow may reflect factors other than the user's sleeping habits, sleeping posture, preferred pillow material, mattress information in use, preferred mattress information, and preferred price range.
Next, the user is allowed to experience the recommended pillow, and at the same time, the secondary image information is collected (S400, S500). As shown in Fig. 6, the second image photographing means takes an image of the user who has chopped the pillow on the
Finally, the suitability of the recommended pillow is analyzed and a result report is provided (S600).
First, as shown in FIG. 7, an image Img1 of a primary posture is rotated and compared with an image Img2 of a secondary posture in a lying position, as shown in FIG.
Then, as shown in Figs. 8A and 8B, the angle A1 between the first captured primary image Img1 and the second captured secondary image Img2 is obtained Compare. It is a meaningful way to assume that the natural posture is the most comfortable sleep angle at the time of sleep. In this case, the smaller the angle A1 formed by the face angle in the front posture image Img1 and the face angle in the image Img2 in the second posture, is judged as a suitable pillow.
When the recommended pillow is two or more, as shown in Figs. 8 (a) and 8 (b2), an image Img1 of the primary posture and the image of another pillow Img2 ' Facial angles can be compared with each other.
In this case, the angle of the face in each image can be a line (Ln1, Ln2m Ln2`) connecting the projecting point of the forehead and the protruding point of the jaw.
On the other hand, it is also possible to determine the fitness of the recommended pillow using only the second captured image Img2. 9, after measuring the angle A2 between the horizontal plane Hrz and the face, for example, if the angle A2 is within the range of about 4 degrees to 6 degrees, it is determined that the recommended pillow is suitable . After measuring the angle A1 between the horizontal plane (Hrz) and the face, if the angle A1 is excessive, the head becomes too tilted or bowed, which may interfere with the sleeping and cause irregularity to the cervical vertebrae.
In addition, it is also possible to judge whether the recommended pillow is suitable from the curved line leading from the second captured image Img2 to the back of the user, neck, shoulder, and upper body.
After that, the result report is prepared and information is provided. At this time, the result report can be provided together with basic information of the customer along with pillow, sleeping habit information, information about the recommended pillow, and the photographs of the sitting position and / or the lying position. Such a result report can be delivered through the output or the customer's e-mail.
While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. have.
100: Pillow recommending system
110: customer information input means
120: First image shooting means
125: Reference point input means
130: Pillow recommending means
140: second image shooting means
150: suitability judging means
Claims (9)
A pillow recommending means for analyzing user body information including a cervical spine height from an image of a user photographed by the first image photographing means to select a pillow to be recommended to a user;
A second image photographing means for photographing an image of a user taking a sleeping posture using a recommended pillow under a sleeping environment; And
And suitability determining means for calculating the degree of conformity of the recommended pillow through the sleep state image of the user photographed from the second image photographing means.
And customer information input means for inputting at least any one of customer related information such as a sleeping habit of a user, a sleeping position, a preferred pillow material, a mattress information in use, a preferred mattress information and a preferred price range.
The pillow recommending means recommends the pillow by reflecting the customer related information collected by the customer information input means.
A reference point input means for inputting a reference point for measuring a cervical spine height, a cervical spine length, a protruding length, a support depth, and a minimum support width on an image of a user photographed by the first image photographing means from an administrator.
Wherein the suitability judging means judges whether the recommended pillow is suitable by comparing the angle of the face of the image photographed by the first image photographing means and the image photographed by the second image photographing means.
Wherein the suitability determining means determines that the recommended pillow is suitable when the face angle of the image photographed by the second image photographing means forms an angle of 4 to 6 degrees with respect to the horizontal plane.
Wherein the suitability determining means determines whether or not the recommended pillow is suitable from a state in which the line is bent from the image photographed by the second image photographing means to the back of the user, neck, shoulder, and upper body.
Wherein the suitability determining means provides at least one of the customer information, the recommended pillow information, and the image photographed by the first image photographing means and the second image photographing means together with the result of the suitability determination.
Wherein the measurement member including the length information of at least one of the longitudinal direction and the lateral direction is any one of a grid display member whose length information is displayed and a gap information between unit cells is known.
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KR1020150161330A KR20170057765A (en) | 2015-11-17 | 2015-11-17 | Recommendation system for pillow |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108648039A (en) * | 2018-04-20 | 2018-10-12 | 麒盛科技股份有限公司 | A kind of beddo intelligence experience recommendation method and its application system |
KR102545366B1 (en) * | 2022-08-30 | 2023-06-21 | 주식회사 다홈 | Operating method of open market platform that automatically recommends sleeping products to buyers by processing big data |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108648039A (en) * | 2018-04-20 | 2018-10-12 | 麒盛科技股份有限公司 | A kind of beddo intelligence experience recommendation method and its application system |
KR102545366B1 (en) * | 2022-08-30 | 2023-06-21 | 주식회사 다홈 | Operating method of open market platform that automatically recommends sleeping products to buyers by processing big data |
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