CN112464404A - Method and device for guiding shopping based on human engineering pillow, readable storage medium and service terminal - Google Patents
Method and device for guiding shopping based on human engineering pillow, readable storage medium and service terminal Download PDFInfo
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Abstract
The invention provides a method, a device, a readable storage medium and a service terminal for guiding shopping pillows based on ergonomics, wherein the method comprises the following steps: s1, acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the ideal pillow is pressed and pressed; s2 calculates the matching degree of the pillow according to expectH and PressedH. The invention provides a method for shopping guide pillows based on ergonomics, which helps customers select pillows meeting the ergonomic requirements and can reduce the selection range from a large number of commodities, thereby improving the consumption experience.
Description
Technical Field
The invention relates to the field of household textiles, in particular to a method for shopping guide based on ergonomics.
Background
The height of the pillow has important significance for protecting the health of the spine and ensuring the sleep quality: if the pillow is too high or too low, the normal physiological curvature of the cervical vertebra can be damaged, neck muscle strain can be caused, cervical nerves and vertebral arteries can be pressed, symptoms such as neck ache, head anoxia, headache, dizziness, tinnitus and insomnia can be caused, and cervical vertebra degenerative change can also be caused, so that the pillow with the most suitable height after being pressed down is very important for the cervical vertebra health of people.
For clothing, fitting clothing can usually be purchased by measuring several important dimensions as references, such as the length of the sleeves, the width of the shoulders, the length of the clothing, the circumference of the chest, etc. of the coat. However, in the prior art, there is no method suitable for purchasing pillows, and under the condition of the current prevailing online shopping, a model meeting the ergonomic requirement of a specific consumer cannot be selected from a plurality of pillows without measurement and trial.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a method, an apparatus, a readable storage medium and a service terminal for ergonomically shopping guide pillows, which solve the problems of the prior art.
To achieve the above objects and other related objects, the present invention includes the following technical solutions.
The invention provides an ergonomic shopping guide pillow-based method, which comprises the following steps:
s1, acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the ideal pillow is pressed and pressed;
s2 calculates the matching degree of the pillow according to expectH and PressedH.
According to the method, ExpectH and PressedH are calculated according to the following formulas:
ExpectH＝MeanH0+f(BodyH)+f(Posture)+f(MatSoft)
f(BodyH)＝RatioBodyH×H1
RatioBodyH＝(BodyH-BodyMean)/BodySD
PressedH＝f(HeadW)
in the formula, MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0F (body h) is the height adjustment value of the purchaser, body h is the height of the purchaser; the Bodymean is the height average value of the target population to which the buyer belongs; body SD is the height standard deviation of the target population to which the buyer belongs; h1Is H0Standard deviation of (d); f (Posture) is a sleeping habit adjustment value, and the sleeping habit adjustment value is selected from a side lying adjustment value f (side), a supine adjustment value f (supine), a prone adjustment value f (prone) and half supine side lying adjustment values f (supine side half); f (MatSoft) is the adjustment value of the hardness of the mattress; headw is the weight of the head and neck of the purchaser.
According to the method described above, f (side) ═ H2+RatioBodyH×H3Wherein, in the step (A),
H2is the average value of the increment of the pillow height when the target population to which the buyer belongs turns to lie on the back and on the side;
H3is the standard deviation of the increment of the pillow height when the target population to which the buyer belongs turns back to lie on side;
f (prone) is the average value of the pillow height change when the target population of the buyer is supine, turning and prone;
f (upward) is 0.
According to the method described above, f (pitch side halves) is 0.5f (side). f (half each time when lying on the back) is the average value of the change of the pillow height when the target group of the selected buyer lies on the back and half each time when lying on the side.
According to the method, the harder the mattress, the higher the value of f (MatSoft).
According to the method, when the mattress is made of different materials, the range of f (MatSoft) values is as follows:
when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm.
According to the method, the HeadW is obtained by substituting the height body H and the weight W of the buyer into a head and neck weight regression equation of a target population to which the buyer belongs according to the Sex Sex of the buyer, wherein the head and neck weight regression equation is established by taking the height and the weight of a human body of the target population as independent variables and the head and neck weight of the target population as dependent variables.
According to the method, the PressedH is obtained by substituting the head and neck weight HeadW of the purchaser into an actual pillow collapse height regression equation, and the actual pillow collapse height regression equation is established by taking the head and neck weight as an independent variable and the actual pillow collapse height as a dependent variable.
According to the method, in step S2, the matching degree is a matching difference MatchError or a matching degree Match, and a calculation formula of the matching difference MatchError or the matching degree Match is as follows:
MatchError＝|PressedH/ExpectH-1|；
Match＝(1-MatchError)×100％。
the method further comprises a step S3 of selecting the recommended pillow according to the matching degree.
According to the method, in step S3, a pillow with small matching difference or large matching degree is used as the recommended pillow.
The invention provides a device based on an ergonomic shopping guide pillow, which comprises:
an acquisition module: used for obtaining the height expectH after the ideal pillow of the purchaser is pressed and the height PressedH after the actual pillow of the purchaser is pressed;
a calculation module: is in electrical signal connection with the acquisition module and is used for calculating the matching degree of the pillow according to ExpectH and PressedH.
According to the device, the obtaining module comprises an ExpectH obtaining module and a PressedH obtaining module;
the expectH acquisition module is used for acquiring an expectH value according to the height, sleeping posture habit and mattress hardness of the selected buyer, wherein the expectH value is MeanH0+f(BodyH)+f(Posture)+f(MatSoft)
f(BodyH)＝RatioBodyH×H1
RatioBodyH＝(BodyH-BodyMean)/BodySD；
The pressedH obtaining module is used for obtaining a pressedH value according to the head and neck weight HeadW of the purchaser, wherein the pressedH is f (HeadW);
in the formula, MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0F (body h) is the height adjustment value of the purchaser, body h is the height of the purchaser; the Bodymean is the height average value of the target population to which the buyer belongs; body SD is the height standard deviation of the target population to which the buyer belongs; h1Is H0Standard deviation of (d); f (Posture) is a sleeping habit adjustment value, and the sleeping habit adjustment value is selected from a side lying adjustment value f (side), a supine adjustment value f (supine), a prone adjustment value f (prone) and half supine side lying adjustment values f (supine side half); f (MatSoft) is the adjustment value of the hardness of the mattress; headw is the weight of the head and neck of the purchaser.
In the above-described device, f (side) is H2+RatioBodyH×H3，
H2Is the average value of the increment of the pillow height when the target population to which the buyer belongs turns to lie on the back and on the side;
H3is the standard deviation of the increment of the pillow height when the target population to which the buyer belongs turns back to lie on side;
f (prone) is the average value of the pillow height change when the target population of the buyer is supine, turning and prone;
f (upward) is 0;
f (half on the pitch side) is 0.5f (side).
According to the device, the harder the mattress, the larger the value of f (MatSoft).
According to the device, when the mattress is made of different materials, the range of f (MatSoft) values is as follows:
when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm. According to the device, the pressedH obtaining module comprises a pressedH value calculating unit which is used for substituting the weight HeadW of the head and neck of the purchaser into an actual pillow depression height regression equation to calculate the pressedH value, wherein the actual pillow depression height regression equation is established by taking the weight of the head and neck as an independent variable and the actual pillow depression height as a dependent variable.
According to the device, the pressedH obtaining module further comprises a HeadW calculating unit, wherein the HeadW calculating unit is used for substituting the height body H and the weight W of the buyer into a head and neck weight regression equation of a target population to which the buyer belongs according to the Sex Sex of the buyer, and the head and neck weight regression equation is established by taking the height and the weight of the human body of the target population as independent variables and the head and neck weight of the target population as dependent variables.
According to the device, the calculating module further comprises a matching degree difference MatchError calculating module or a matching degree Match calculating module, and the calculating formula of MatchError or Match in the matching degree Match calculating module or the matching degree Match calculating module of the matching difference MatchError calculating module is as follows:
MatchError＝|PressedH/ExpectH-1|；
Match＝(1-MatchError)×100％。
according to the device, the device further comprises a matching degree screening module used for screening the recommended pillow according to the matching degree.
According to the device, the pillow with small matching difference or large matching degree is taken as the recommended pillow in the matching degree screening module.
The present invention is a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described ergonomic pillow-based method of shopping guidance.
The invention provides a service terminal, comprising:
a communicator for communicating with the outside;
a memory for storing a computer program;
a processor for executing the computer program to perform the method for ergonomically shopping guide based on pillows as described above.
The invention provides a method, a device, a readable storage medium and a service terminal for guiding shopping pillows based on ergonomics, which help customers select pillows meeting the ergonomics requirements and can reduce the selection range from a large number of commodities so as to improve the consumption experience. The technical scheme provided in the application is based on the human body measurement data of the large sample and the experimental results of the collapse of the mattress and the pillow, so that a customer does not need to go to a store for measurement, and the pillow with the improper height can be excluded according to the sex, the height, the weight and the sleeping posture habits of the customer and the hardness of the mattress at home. The method is suitable for most people, has low investment and high benefit, and is beneficial to promoting the cervical vertebra health of consumers.
Drawings
FIG. 1 shows the invention H0Schematic diagram of the test method of (1).
Fig. 2 is a graph showing the result of the indentation function tested and obtained when the pillow of the embodiment of the present invention is a three-dimensional antibacterial soft pillow.
Fig. 3 is a graph showing the results of indentation functions tested and obtained when the pillow of the present invention is a W soft embossed pillow.
Fig. 4 is a schematic view illustrating an ergonomic shopping guide pillow according to the present invention.
Fig. 5 is a schematic structural diagram of the ergonomic shopping guide pillow-based device according to the present invention.
Fig. 6 is a schematic structural diagram of an acquisition module according to the present invention.
FIG. 7 is a schematic diagram of a computing module according to the present invention.
Fig. 8 is a schematic structural diagram of a service terminal according to the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Furthermore, it is to be understood that one or more method steps mentioned in the present invention does not exclude that other method steps may also be present before or after the combined steps or that other method steps may also be inserted between these explicitly mentioned steps, unless otherwise indicated. Moreover, unless otherwise indicated, the numbering of the various method steps is merely a convenient tool for identifying the various method steps, and is not intended to limit the order in which the method steps are arranged or the scope of the invention in which the invention may be practiced, and changes or modifications in the relative relationship may be made without substantially changing the technical content. Moreover, unless otherwise indicated, the names of the constants and variables used in the examples are only used to illustrate the principles of the calculation, and the names of the variables and the changes or adjustments are also considered to be the scope of the present invention without substantially changing the technical content.
As shown in fig. 4, an embodiment of the present application provides an ergonomic shopping guide pillow-based method, which includes:
s1, acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the ideal pillow is pressed and pressed;
s2 calculates the matching degree of the pillow according to expectH and PressedH.
The technical scheme in the application is that matching shopping guide is carried out according to the difference between the ideal height expectH after the pillow is pressed and the actual height PressedH after the pillow is pressed; the closer the values of ExpectH and PressedH are, the better the matching degree is; and recommending the pillow meeting the matching degree requirement.
Wherein the ideal height ExpectH after the pillow is collapsed is the proper height for the purchasers to have the pillow collapsed when lying down, and ExpectH is MeanH0+ f (body h) + f (Posture) + f (MatSoft); the parameters in the formula are specifically explained below.
MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0Average value of (a). Generally, the comfortable supine position of the human body is taken as a reference supine position. Generally considered to be comfortable in an ergonomic supine positionThe supine position, when in the ergonomic supine position, the cervical vertebrae of the human body can basically maintain a natural angle because of being more comfortable and healthy. In a preferred embodiment, MeanH0The distance H from the comfortable supine position occipital bone low point of the target group of the purchasers to the hip back plane0Average value of (d); this value may vary depending on the characteristics of the population and the sample size, e.g. by obtaining MeanH after testing a certain sample size of Chinese adults0Is 65 mm.
f (body H) is a height adjustment value, and f (body H) ═ ratiobody × H1Ratiobody h (body h-body mean)/body sd (body sd), where body h is the height of the buyer, body mean is the height average of the target group to which the buyer belongs, for example, the average height of a chinese adult is 162cm (not divided into men and women) as calculated by data in the national standard GB10000-88 "chinese adult size"), and body sd is the height standard deviation of the target group to which the buyer belongs, for example, body sd (body sd) is 8.6cm (not divided into women) as calculated by data in the national standard GB10000-88 "chinese adult size"); h1Is H0E.g. H measured for a number of adults in east China1＝7mm。
Wherein f (Posture) is the adjustment value of sleeping Posture habit, and the sleeping Posture habit adjustment value is selected from the group consisting of side lying adjustment value f (side), back lying adjustment value f (face up), prone lying adjustment value f (face down) and half back lying adjustment values f (half face up); f (side) ═ H2+RatioBodyH×H3，H2Is the average value of the increase in pillow height when the targeted population to which the purchaser belongs is supine to turn to side, and in a preferred embodiment, H2Is the average value of comfortable pillow height increment when the target population to which the buyer belongs turns back to lie on side; may vary from sample to sample, e.g. H for a number of adults in east China is measured2＝30mm。
H3Is the standard deviation of the increment of the pillow height when the target group to which the buyer belongs turns back to lie on side, and in a preferred embodiment, H3Is the standard deviation of comfortable pillow height increment when the target population to which the buyer belongs turns back to lie on side; may vary from sample to sample, e.g. H is measured for a certain number of adults in east China3＝15mm。
According to the method, when the prone position is mainly, f (Posture) is the average value of the change of the pillow height when the target population belonging to the purchasers turns back and lies prone, for example, a certain number of adults mainly lying on the prone position are measured, and f (Posture) is-10 mm.
According to the method described above, f (pitch) is 0;
f (half on the pitch side) is 0.5f (side).
Wherein f (MatSoft) is the adjustment value of the hardness of the mattress, and the softer the mattress, the lower the required pillow height.
Generally, when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm.
The classification of the hardness grade of the mattress in the application is from the evaluation method of hardness grade and distribution test of mattress ergonomics in Shenzhen furniture industry Association group standard T/SZFA 2003.1-2019. For example, the specific measured conditions in the examples of the present application are shown in table 1 below.
TABLE 1
In this application, the actual pillow collapsed height PressedH ═ f (HeadW).
The HeadW is obtained by substituting the height body H and the weight W of the buyer into a head and neck weight regression equation of a target population to which the buyer belongs according to the gender Sex of the buyer, wherein the head and neck weight regression equation is established by taking the height and the weight of a human body of the target population as independent variables and the head and neck weight of the target population as dependent variables. In one embodiment of the present application, the head and neck weight regression method may include, but is not limited to, male HeadW ═ 2.9540+0.0400 xw +0.0001 xbody h in the national standard GB/T17245-2004; female HeadW ═ 1.6050+0.0240 xw +0.0009 xbody h; in this standard, the weight is in kg and the height is in mm.
In the application, the pressedH is obtained by substituting the head and neck weight HeadW of the purchaser into an actual pillow collapse height regression equation, and the actual pillow collapse height regression equation is established by taking the head and neck weight as an independent variable and the actual pillow collapse height as a dependent variable. Such as shown in fig. 2 and 3.
Fig. 2 shows that the indentation function tested and obtained when the pillow is a three-dimensional antibacterial soft silk pillow is PressedH-38546.922 × HeadW-0.786. As can be seen from figure 2, the depression range of the pillow is about 41mm to 68 mm. If a person of a medium or small size lies on his back on a mattress of moderate hardness, the pillow will generally feel that it is of a proper height (the exact match is to see the difference between pressedH and expectH).
Fig. 3 shows that when the design of the pillow is W soft embossing pair pillow, the tested and obtained indentation function is PressedH ═ 1.29E2-9.68E-3 × HeadW, and as can be seen from fig. 3, the indentation range of the pillow is about 74 mm-92 mm. Generally speaking, it is more suitable for customers who are large, have soft mattresses or have a habit of lying on their side (the specific matching degree is to look at the difference between pressedH and expectH).
In a specific implementation shown in fig. 4, the method in this embodiment further includes:
s3, the recommended pillow is screened according to the matching degree.
In one particular embodiment, a pillow with a small match variance is recommended. In a specific embodiment of the present application, the match difference MatchError ═ PressedH/ExpectH-1 |.
In a specific embodiment, a pillow with a good fit is recommended. In one specific embodiment of the present application, the matching degree Match is (1-MatchError) × 100%.
In a more preferred embodiment, pillows with small matching difference and good matching degree are recommended to the buyer.
In a specific embodiment, the whole calculation process is as follows:
after a male customer inputs his height of 170cm and weight of 60kg, the method can estimate his head weight HeadW to be 5.5kg according to the regression equation in the national standard GB/T17245-2004 (male HeadW is 2.9540+0.0400 xW +0.0001 xBodyH; weight unit is kg in this standard, height unit is mm). Then, the computer program substitutes the HeadW into the indentation function of each pillow in the commercial stock, for example, substitutes the indentation function of the three-dimensional antibacterial soft pillow to calculate PressedH of 38546.922 × 5500^ -0.786 of 44mm, substitutes the indentation function of the embossing pair pillow to calculate PressedH of 1.29E2-9.68E-3 × 5500 of 77 mm. Meanwhile, the program calculates the proper pillow height ExpectH (Meanh) according to the hardness of the mattress input by the user in advance and the sleeping posture habit of lying on the back and on the side, and then combines the height of the user0+ f (body h) + f (Posture) + f (MatSoft) ═ 65+6.3 × (170-162)/8.6+24-17 ═ 78 mm. Then, the matching difference Matchror ═ 44/72-1| -0.39 between the three-dimensional antibacterial soft pillow and the matching degree Match ═ (1-0.39) × 100 ═ 61%; the Match difference Matchrror ═ 77/78-1| -0.01, and the Match ratio Match ═ (1-0.01). times.100%. 99% to the pillow of the W soft embossing. Then W gentle embossing is preferred for pillows.
It also belongs to the application of the patent that when the customer selects the priority material (such as latex pillow), or the priority function (such as sleep aid), or the priority price, the pillow which meets the priority of the customer is presented by the method.
As shown in fig. 5, the present application further discloses an ergonomic shopping guide pillow-based device, which includes:
the acquisition module 1 is used for acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the pillow is pressed;
and the calculating module 2 is used for calculating the matching degree of the pillow according to expectH and PressedH.
According to the apparatus as shown in fig. 6, the obtaining module 1 includes an ExpectH obtaining module 11 and a PressedH obtaining module 12;
the expectH acquisition module 11 is used for acquiring height and sleep of a selected buyerPosture habit and mattress firmness obtain ExpectH value, ExpectH ═ MeanH0+f(BodyH)+f(Posture)+f(MatSoft)
f(BodyH)＝RatioBodyH×H1
RatioBodyH＝(BodyH-BodyMean)/BodySD；
The PressedH obtaining module 12 is configured to obtain a PressedH value according to a head and neck weight HeadW of a purchaser, where the PressedH is f (HeadW);
in the formula, MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0F (body h) is the height adjustment value of the purchaser, body h is the height of the purchaser; the Bodymean is the height average value of the target population to which the buyer belongs; body SD is the height standard deviation of the target population to which the buyer belongs; h1Is H0Standard deviation of (d); f (Posture) is a sleeping habit adjustment value, and the sleeping habit adjustment value is selected from a side lying adjustment value f (side), a supine adjustment value f (supine), a prone adjustment value f (prone) and half supine side lying adjustment values f (supine side half); f (MatSoft) is the adjustment value of the hardness of the mattress; headw is the weight of the head and neck of the purchaser.
In the above-described device, f (side) is H2+RatioBodyH×H3，
H2Is the average value of the increment of the pillow height when the target population to which the buyer belongs turns to lie on the back and on the side;
H3is the standard deviation of the increment of the pillow height when the target population to which the buyer belongs turns back to lie on side;
f (prone) is the average value of the pillow height change when the target population of the buyer is supine, turning and prone;
f (upward) is 0.
According to the above-described device, f (half on the pitch side) is 0.5f (side).
According to the device, the harder the mattress, the larger the value of f (MatSoft).
According to the device, when the mattress is made of different materials, the range of f (MatSoft) values is as follows:
when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm.
According to the apparatus shown in fig. 6, the PressedH obtaining module 12 includes a PressedH value calculating unit 121, configured to substitute the weight headneck HeadW of the purchaser into an actual pillow depression height regression equation to calculate the PressedH value, where the actual pillow depression height regression equation is established with the weight of the headneck as an independent variable and the actual pillow depression height as a dependent variable.
According to the above device, the PressedH obtaining module 12 further includes a HeadW calculating unit 122, configured to substitute the height body h and the weight W of the buyer into a head-neck weight regression equation of a target population to which the buyer belongs according to the gender six of the buyer, so as to obtain the HeadW, where the head-neck weight regression equation is established by using the height and the weight of the target population as independent variables and using the head-neck weight of the target population as a dependent variable.
According to the apparatus shown in fig. 7, the calculating module 3 further includes a matching degree difference MatchError calculating module 21 or a matching degree Match calculating module 22, and a calculation formula of MatchError or Match in the matching degree Match calculating module or the matching degree Match calculating module of the matching degree difference MatchError calculating module is:
MatchError＝|PressedH/ExpectH-1|；
Match＝(1-MatchError)×100％。
according to the device, the device further comprises a matching degree screening module used for screening the recommended pillow according to the matching degree.
According to the device, the pillow with small matching difference or large matching degree is taken as the recommended pillow in the matching degree screening module.
Also disclosed in embodiments of the present application is a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for ergonomically shopping-based pillows as described above.
As shown in fig. 8, an embodiment of the present application further discloses a service terminal, including:
a communicator 41 for communicating with the outside;
a memory 42 for storing a computer program;
a processor 43 for executing said computer program for performing the method for ergonomically shopping guide based pillows as described above.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An ergonomic-based method for shopping guide of pillows, the method comprising:
s1, acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the ideal pillow is pressed and pressed;
s2 calculates the matching degree of the pillow according to expectH and PressedH.
2. The method of claim 1, wherein ExpectH and PressedH are calculated according to the following formulas:
ExpectH＝MeanH0+f(BodyH)+f(Posture)+f(MatSoft)
f(BodyH)＝RatioBodyH×H1
RatioBodyH＝(BodyH-BodyMean)/BodySD
PressedH＝f(HeadW)
in the formula, MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0F (body h) is the height adjustment value of the purchaser, body h is the height of the purchaser; the Bodymean is the height average value of the target population to which the buyer belongs; body SD is the height standard deviation of the target population to which the buyer belongs; h1Is H0Standard deviation of (d); f (post) is sleeping Posture exerciseAdjusting value of the sleeping posture habit, wherein the adjusting value of the sleeping posture habit is selected from a side lying adjusting value f (side), a back lying adjusting value f (face up), a prone adjusting value f (face down) and half adjusting values f of back lying and side lying (half adjusting values f of face up); f (MatSoft) is the adjustment value of the hardness of the mattress; headw is the weight of the head and neck of the purchaser; and/or in step S2, the matching degree is a matching difference MatchError or a matching degree Match, and a calculation formula of the matching difference MatchError or the matching degree Match is as follows:
MatchError＝|PressedH/ExpectH-1|；Match＝(1-MatchError)×100％；
and/or, the method also comprises a step S3 of screening the recommended pillow according to the matching degree.
3. The method of claim 2, wherein f (side) ═ H2+RatioBodyH×H3Wherein, in the step (A),
H2is the average value of the increment of the pillow height when the target population to which the buyer belongs turns to lie on the back and on the side;
H3is the standard deviation of the increment of the pillow height when the target population to which the buyer belongs turns back to lie on side;
f (prone) is the average value of the pillow height change when the target population of the buyer is supine, turning and prone;
f (upward) is 0;
f (half on the elevation side) is 0.5f (side);
and/or, the stiffer the mattress, the greater the value of f (MatSoft);
and/or the HeadW is obtained by substituting the height body H and the weight W of the buyer into a head-neck weight regression equation of a target population to which the buyer belongs according to the gender Sex of the buyer, wherein the head-neck weight regression equation is established by taking the height and the weight of a human body of the target population as independent variables and the head-neck weight of the target population as dependent variables;
and/or the PressedH is obtained by substituting the head and neck weight HeadW of the purchaser into an actual pillow collapse height regression equation for calculation, wherein the actual pillow collapse height regression equation is established by taking the head and neck weight as an independent variable and the actual pillow collapse height as a dependent variable;
and/or the HeadW is obtained by substituting the height body H and the weight W of the buyer into a head-neck weight regression equation of a target population to which the buyer belongs according to the gender Sex of the buyer, wherein the head-neck weight regression equation is established by taking the height and the weight of a human body of the target population as independent variables and the head-neck weight of the target population as dependent variables;
and/or in step S3, a pillow with small matching difference or large matching degree is used as the recommended pillow.
4. A method according to claim 3, wherein the f (MatSoft) values when the mattresses are of different materials are in the following ranges:
when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm.
5. An ergonomic shopping guide pillow-based device, comprising:
the acquisition module is used for acquiring the height expectH of the purchasers after the ideal pillow is pressed and the height PressedH of the purchasers after the ideal pillow is pressed and pressed;
and the calculating module is used for calculating the matching degree of the pillow according to the expectH and the pressedH.
6. The apparatus of claim 5, wherein the obtaining module comprises an expectH obtaining module and a pressedH obtaining module;
the expectH acquisition module is used for acquiring an expectH value according to the height, sleeping posture habit and mattress hardness of the selected buyer, wherein the expectH value is MeanH0+f(BodyH)+f(Posture)+f(MatSoft)
f(BodyH)＝RatioBodyH×H1
RatioBodyH＝(BodyH-BodyMean)/BodySD；
The pressedH obtaining module is used for obtaining a pressedH value according to the head and neck weight HeadW of the purchaser, wherein the pressedH is f (HeadW);
in the formula, MeanH0Distance H from the reference supine position occipital bone low point of the target group of the purchasers to the hip back plane0F (body h) is the height adjustment value of the purchaser, body h is the height of the purchaser; the Bodymean is the height average value of the target population to which the buyer belongs; body SD is the height standard deviation of the target population to which the buyer belongs; h1Is H0Standard deviation of (d); f (Posture) is a sleeping habit adjustment value, and the sleeping habit adjustment value is selected from a side lying adjustment value f (side), a supine adjustment value f (supine), a prone adjustment value f (prone) and half supine side lying adjustment values f (supine side half); f (MatSoft) is the adjustment value of the hardness of the mattress; headw is the weight of the head and neck of the purchaser;
and/or the calculating module further comprises a matching degree difference Matchror calculating module or a matching degree Match calculating module, and the calculating formula of Matchror or Match in the matching degree Matchror calculating module or the matching degree Match calculating module of the matching degree difference Matchror calculating module is as follows: matchrror ═ PressedH/expectH-1 |; match ═ (1-MatchError) × 100%;
and/or the device further comprises a matching degree screening module used for screening the recommended pillow according to the matching degree.
7. The apparatus of claim 6, wherein f (side) is H2+RatioBodyH×H3，
H2Is the average value of the increment of the pillow height when the target population to which the buyer belongs turns to lie on the back and on the side;
H3is the standard deviation of the increment of the pillow height when the target population to which the buyer belongs turns back to lie on side;
f (prone) is the average value of the pillow height change when the target population of the buyer is supine, turning and prone;
f (upward) is 0;
f (half on the elevation side) is 0.5f (side);
and/or, the stiffer the mattress, the greater the value of f (MatSoft);
and/or the pressedH obtaining module comprises a pressedH value calculating unit, wherein the pressedH value calculating unit is used for substituting the head and neck weight HeadW of the purchasers into an actual pillow depression height regression equation to calculate the pressedH value, and the actual pillow depression height regression equation is established by taking the head and neck weight as an independent variable and the actual pillow depression height as a dependent variable;
and/or the pressedH obtaining module further comprises a HeadW calculating unit, wherein the HeadW calculating unit is used for substituting the height body H and the weight W of the buyer into a head and neck weight regression equation of a target population to which the buyer belongs according to the Sex Sex of the buyer, and the head and neck weight regression equation is established by taking the height and the weight of the human body of the target population as independent variables and the head and neck weight of the target population as dependent variables;
and/or in the matching degree screening module, pillows with small matching difference or large matching degree are taken as recommended pillows.
8. The apparatus of claim 7, wherein the f (MatSoft) values range from the following when the mattresses are of different materials:
when the hardness grade of the mattress is 1-2, the value of f (MatSoft) is (-2-0) mm;
when the hardness grade of the mattress is 3-6, the value of f (MatSoft) is (-12 to-5) mm;
when the hardness grade of the mattress is 7-10, the value of f (MatSoft) is (-20 to-14) mm.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for ergonomic based shopping guide pillows according to any one of claims 1 to 4.
10. A service terminal, comprising:
a communicator for communicating with the outside;
a memory for storing a computer program;
a processor for executing the computer program to perform the method of ergonomic shopping guide pillow according to any of claims 1 to 4.
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