Pillow height determination method and system based on head, neck and shoulder parameters and pillow interior material characteristics

By measuring users' head, neck, and shoulder parameters and the characteristics of pillow core materials, and combining correlation analysis and multiple regression analysis, the optimal pillow height was determined, solving the problem of mismatched pillow height selection and improving sleep quality and cervical spine health.

CN120982873APending Publication Date: 2025-11-21SHANGHAI SHUIXING HOME TEXTILE CO LTD +1
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Patent Information

Application Number
CN202511083502.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2025-11-21

AI Technical Summary

Technical Problem

Current pillow height options lack consideration for individual differences, leading to mismatched use, which may cause neck pain and spinal deformities, affecting sleep quality and physical health.

Method used

The method for determining pillow height based on head, neck, and shoulder parameters and pillow core material properties involves measuring the user's height, weight, and head, neck, and shoulder parameters, combining these with the compression and rebound characteristics of the pillow core material, and using correlation analysis and multiple regression analysis to establish a mathematical model to determine the optimal pillow height.

Benefits of technology

It enables highly personalized pillow height selection, improves sleep quality, protects cervical spine health, and provides scientific, comprehensive, and personalized guidance for pillow selection.

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Abstract

The invention relates to the technical field of ergonomics and healthy sleep, in particular to a pillow height determining method based on head, neck and shoulder parameters and characteristics of a pillow interior material, for a user with the weight w, P1 is the compression rate of the corresponding pillow interior material when the pressure is t, P2 is the rebound rate of the corresponding pillow interior material when the pressure is t, and t = the user weight w * 8% * 9.8. After supine compression, the optimal pillow height is equal to 0.015 * height-0.003 * body weight + 0.052 * shoulder breadth + 0.037 * head-shoulder distance + 0.394 * neck depth-2.142; after side lying compression, the optimal pillow height is equal to 0.057 * height + 0.002 * body weight-0.016 * shoulder breadth + 0.137 * neck circumference + 0.074 * ear-shoulder distance + 0.043 * side neck depth-7.215. The parameters of the head, the neck and the shoulders are combined with the characteristics of the pillow inner material, comprehensive and scientific pillow inner selection guidance is provided for consumers, and the market blank is filled.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ergonomics and healthy sleep, and particularly relates to a method for determining suitable pillow height of different people under selection of different pillow core materials. BACKGROUND

[0002] A suitable pillow height plays a decisive role in sleep quality and cervical health. However, the pillow height selection in the current market lacks scientific basis for individual differences, and often does not consider the compression of the pillow core during use of users with different weights and the compression and rebound characteristics of different pillow core materials under different pressures. The height, weight, head-neck-shoulder parameters of different people are different, at the same time, the pillow core will be compressed and deformed after bearing the pressure of the head and neck, and there is a difference between the actual use height and the initial height. Using a mismatched compressed pillow height may cause long-term neck pain, muscle strain, spinal deformation and other problems, which seriously affects sleep quality and physical health. Therefore, there is an urgent need for a scientific and systematic method to determine the most suitable compressed pillow height according to individual physical parameters, and to determine the pre-compression pillow height combined with the characteristics of the pillow core, so as to meet the individual needs of different people. SUMMARY

[0003] The purpose of the present application is to provide a pillow height determination method based on head-neck-shoulder parameters and pillow core material characteristics, which takes into account the different compression of pillow cores by people with different weights, and provides scientific guidance for consumers to select pillow cores.

[0004] The purpose of the present application is also to provide a pillow height determination system based on head-neck-shoulder parameters and pillow core material characteristics.

[0005] The technical problem solved by the present application can be realized by the following technical solution:

[0006] The pillow height determination method based on head-neck-shoulder parameters and pillow core material characteristics is characterized in that a user with a weight of w kg, P1 is the compression rate of the pillow core material corresponding to the pressure t N, and P2 is the rebound rate of the pillow core material corresponding to the pressure t N, wherein t (N) = user weight w (kg) * 8% * 9.8 (N / kg) (the weight of the head accounts for about 8% of the body weight).

[0007] Preferably, the tester lies on the test bed with the headrest on the standard test pillow core, then the standard test pillow core with different initial heights is replaced in turn, and the neck forward inclination angle in the normal upright state is taken as the standard, when the neck forward inclination angle reaches the standard, the pillow height is determined as the supine compressed optimal pillow height of the tester.

[0008] Preferably, the optimal pillow height (cm) after supine compression = 0.015*height (cm)-0.003*weight (kg)+0.052*shoulder width (cm)+0.037*head-shoulder distance (cm)+0.394*neck depth (cm)-2.142.

[0009] Preferably, the user with a weight of w kg, P1 is the compression rate of the pillow core material corresponding to the pressure tN, and P2 is the rebound rate of the pillow core material corresponding to the pressure tN, wherein t (N) = user weight w (kg) * 8% * 9.8 (N / kg) (the head weight accounts for about 8% of the body weight).

[0010] Preferably, the tester lies on the test bed on his side, and the headrest is on the standard test pillow core. Then, the standard test pillow core with different initial heights is replaced in turn, and when the neck and spine are in a straight line when using a pillow core with a certain height, the pillow core height value at this time is recorded as the optimal pillow height after side compression of the tester.

[0011] Preferably, the optimal pillow height (cm) after side compression = 0.057*height (cm)+0.002*weight (kg)-0.016*shoulder width (cm)+0.137*neck circumference (cm)+0.074*ear-shoulder distance (cm)+0.043*side neck depth (cm)-7.215.

[0012] Advantages:

[0013] The present application determines the optimal pillow height after compression by comprehensively collecting human multi-parameters and combining the neck state in different sleeping postures of supine and side lying, realizes high personalization of pillow height selection, effectively improves sleep quality, and protects the health of the cervical spine.

[0014] The present application uses correlation analysis and multiple regression analysis to establish a mathematical model, so that the determination of the optimal pillow height after compression is more scientific and accurate, and has higher reliability and practicality compared with traditional methods.

[0015] The present application combines the compression and rebound characteristics of the pillow core material and the weight of the user to derive the pillow height before compression, providing comprehensive and scientific guidance for pillow core selection for consumers, and filling the market gap. DETAILED DESCRIPTION

[0016] In order to make the technical means, creative features, purposes and effects realized by the present application easy to understand, the present application is further described below.

[0017] The pillow height determination method based on head-neck-shoulder parameters and pillow core material characteristics, characterized in that the user with a weight of w kg, P1 is the compression rate of the corresponding pillow core material under a pressure of tN, and P2 is the resilience rate of the corresponding pillow core material under a pressure of tN, wherein t (N) = user weight w (kg) * 8% * 9.8 (N / kg) (the head weight accounts for about 8% of the body weight). Preferably, the tester lies on the test bed on his back with the headrest on the standard test pillow core, then the standard test pillow core of different initial heights is replaced in turn, and the cervical lordosis angle in the normal upright state is maintained as a standard, when the cervical lordosis angle reaches the standard, the pillow height is determined as the optimal pillow height after back lying compression of the tester.

[0018] Preferably, the optimal pillow height after back lying compression (cm) = 0.015 * height (cm) - 0.003 * weight (kg) + 0.052 * shoulder width (cm) + 0.037 * head-shoulder distance (cm) + 0.394 * neck depth (cm) - 2.142.

[0019] Preferably, the user with a weight of w kg, P1 is the compression rate of the corresponding pillow core material under a pressure of tN, and P2 is the resilience rate of the corresponding pillow core material under a pressure of tN, wherein t (N) = user weight w (kg) * 8% * 9.8 (N / kg) (the head weight accounts for about 8% of the body weight).

[0020] Preferably, the tester lies on the test bed on his side with the headrest on the standard test pillow core, then the standard test pillow core of different initial heights is replaced in turn, when the neck and spine are in a straight line when using a pillow core of a certain height, the pillow core height value at this time is recorded as the optimal pillow height after side lying compression of the tester.

[0021] Preferably, the optimal pillow height after side lying compression (cm) = 0.057 * height (cm) + 0.002 * weight (kg) - 0.016 * shoulder width (cm) + 0.137 * neck circumference (cm) + 0.074 * ear-shoulder distance (cm) + 0.043 * side neck depth (cm) - 7.215. Specific embodiments

[0023] 1. Head, neck and shoulder parameter collection:

[0024] Professional and high-precision measuring tools such as height and weight measuring instrument, high-precision flexible ruler, ruler, three-dimensional scanner, etc. are used to accurately measure the height, weight, and head, neck and shoulder parameters such as shoulder width, neck circumference, neck length, head-shoulder distance, neck depth, ear-shoulder distance, and side neck depth of different populations, and detailed records are made. The present application selects 100 adult populations of different ages, genders and body types as test samples. The measurement standard is in accordance with the standard GB / T 5703-2023 "Human body measurement basic items for technical design". The present application measures each data multiple times, thereby ensuring the accuracy of the data.

[0025]

[0026] In order to improve the accuracy of the measurement data, the application measures the shoulder width, neck circumference, neck length, head-shoulder distance, neck depth, ear-shoulder distance and lateral neck depth once when the measured person is standing and once when the measured person is sitting on a stool, thereby reducing the inaccuracy caused by body inclination and twisting. The stool is provided with a backrest, the backrest is located in the vertical direction, a measuring scale extending in the horizontal direction is arranged on the backrest, and the measuring scale can slide up and down along the backrest. Therefore, the shoulder and ear of different height people are adjusted by sliding the measuring scale up and down, and the ear-shoulder distance is accurately measured. At the same time, the measuring scale and the backrest as a whole are in the shape of a cross, thereby providing support for the measured person while assisting in correcting the sitting posture of the measurer. The two ends of the measuring scale are located on both sides of the backrest, and a short scale is sleeved on each end of the measuring scale, the short scale can slide horizontally along the measuring scale, and the short scale extends forward of the stool, thereby measuring the neck depth and the like by using the short scale. Multiple measurements are taken to obtain an average value.

[0027] 2. Standard test pillow preparation

[0028] Prepare a plurality of standard test pillows with different initial heights (0-12 cm), and the materials used for the standard test pillows are uniform and have a compression rate close to 0. The same height of the standard test pillows according to the application has at least 12, and the specification is 65 cm in length*45 cm in width.

[0029] 3. Determination of the optimal pillow height after supine compression:

[0030] The tester lies on the test bed with the headrest on the standard test pillow, then the standard test pillows with different initial heights are replaced in turn to maintain the neck forward inclination angle in the normal upright state as the standard, and when the neck forward inclination angle reaches the standard, the pillow height is determined as the optimal pillow height after supine compression of the tester. Preferably, the test bed is equipped with a posture monitoring device, so that the posture change of the tester's neck under different test pillows is monitored by using a camera device. The neck forward inclination angle in the normal upright state is taken as the standard, and by gradually replacing the test pillows with different initial heights, the actual height value of the test pillow after compression when the neck forward inclination angle reaches the standard is recorded, and this value is the optimal pillow height after compression of the tester in the supine state.

[0031] 4. Determination of the optimal pillow height after lateral compression:

[0032] The tester lies on the test bed with the headrest on the standard test pillow, and then the standard test pillow with different initial heights is replaced in turn. When the neck is in a straight line with the spine using a certain height of pillow, the height value of the pillow at this time is recorded as the optimal pillow height after lateral compression of the tester. Preferably, the test bed is equipped with a posture monitoring device, so that the change of the neck posture of the tester under different test pillows is monitored by a camera device.

[0033] 5. Correlation analysis:

[0034] The collected height, weight, head-neck-shoulder parameters are used as independent variables, and the optimal pillow height after supine and lateral compression is used as dependent variables. Professional statistical analysis software such as SPSS, R language, etc. is used for correlation analysis to determine which parameters have significant correlation (|r|>0.3, p<0.01) with the optimal pillow height after supine and lateral compression.

[0035]

[0036] **. Significant correlation at the 0.01 level (two-tailed).

[0037] *. Significant correlation at the 0.05 level (two-tailed).

[0038] The human body parameters with strong correlation with the optimal pillow height after supine compression are:

[0039] Height (0.384**), weight (0.343**), shoulder width (0.410**), head-shoulder distance (0.318**), neck depth (0.463**);

[0040] The human body parameters with strong correlation with the optimal pillow height after lateral compression are:

[0041] Height (0.711**), weight (0.681**), shoulder width (0.630**), neck circumference (0.712**), ear-shoulder distance (0.611**), lateral neck depth (0.540**).

[0042] 6. Multiple regression modeling:

[0043] The parameters significantly correlated with the pillow height after compression selected in the correlation analysis are used again as independent variables, and the corresponding optimal pillow height after supine and lateral compression is used as dependent variables. Multiple regression analysis method is used to construct mathematical model with the help of data analysis software to accurately describe the relationship between the pillow height after compression and the related parameters. The regression relationship between the optimal pillow height after compression in supine and lateral position and height, weight, head-neck-shoulder parameters is obtained.

[0044] Optimal pillow height after supine compression (cm) = 0.015 * height (cm) - 0.003 * weight (kg) + 0.052 * shoulder width (cm) + 0.037 * head-shoulder distance (cm) + 0.394 * neck depth (cm) - 2.142.

[0045] Optimal pillow height after side compression (cm) = 0.057 * height (cm) + 0.002 * weight (kg) - 0.016 * shoulder width (cm) + 0.137 * neck circumference (cm) + 0.074 * ear-shoulder distance (cm) + 0.043 * side neck depth (cm) - 7.215.

[0046] 7. The optimal pillow height before compression is derived as follows:

[0047] a. For different pillow core materials, the compression and rebound characteristics curve is determined by experiment, and the compression and rebound rate data under different pressures are obtained. For common pillow core materials such as memory foam, latex, and down, the pressure test equipment is used to apply different pressures to the pillow core samples of different materials in the laboratory environment, and the compression and rebound rates under different pressures are determined, and the compression and rebound characteristics curve is drawn.

[0048] b. The pillow height after compression calculated by the regression relationship is combined with the compression and rebound characteristics curve of the corresponding pillow core material to reversely calculate the pillow core height to be selected under the pressure-free state (i.e. before compression), thereby recommending the initial height of the pillow core of different materials suitable for different groups of people.

[0049] According to the national standard GB / T 22796-2021 "Bedding", the compression rate P1 and the rebound rate P2 of the pillow core material are measured, and the test method is as follows:

[0050] When the applied pressure is tN, the compression and rebound rate test method is as follows:

[0051] • Place the sample on the pressure test equipment and apply pressure to the sample. Stop pressing when it reaches 5N. After maintaining 5N for 30s, release the pressure and place it for 30s. Repeat the operation 3 times, and measure the initial height h0 of the sample.

[0052] • Apply pressure to the sample again, and stop pressing when it reaches tN. After maintaining this state for 30s, measure the height h1 of the sample at this time.

[0053] • Then release the pressure and place it for 3 minutes, and measure the height h2 of the sample.

[0054] The compression rate and rebound rate under the pressure of tN are calculated according to the following formula:

[0055] Compression rate:

[0056] Rebound rate:

[0057] The user with a weight of w kg, find its corresponding pressure t N, wherein t(N) = user weight w(kg) * 8% * 9.8(N / kg) (the head weight accounts for about 8% of the body weight).

[0058] The user with a weight of w kg, P1 is the compression rate of the corresponding pillow core material when the pressure is tN, and P2 is the rebound rate of the corresponding pillow core material when the pressure is tN.

[0059] The generation system of pillow height self-adaptive determination based on head-neck-shoulder multi-parameter and pillow core material characteristics includes a measurement module for measuring the height, weight and head-neck-shoulder parameters of the user. It also includes a posture monitoring module equipped with multi-angle cameras and high-precision posture sensors, which can monitor the posture changes of the user on different pillow cores in real time. It also includes a data processing module that can quickly calculate the compressed pillow height suitable for the user in supine and lateral positions according to the measurement data and monitoring data, and combined with the compression and rebound characteristics data of different pillow core materials, it can derive the pre-compression pillow height corresponding to different pillow core materials. It also includes a display and recommendation module that displays the calculation results to the user and recommends the most suitable pillow core product according to the pre-compression pillow height, including pillow core material, pillow core initial height, etc.

[0060] The most critical is the generation system of pillow height self-adaptive determination based on head-neck-shoulder multi-parameter and pillow core material characteristics, which takes into account the differences in individual head-neck-shoulder parameters and the different compression conditions of pillow cores under different weights of users. The user with a weight of w kg, P1 is the compression rate of the corresponding pillow core material when the pressure is tN, and P2 is the rebound rate of the corresponding pillow core material when the pressure is tN, wherein t(N) = user weight w(kg) * 8% * 9.8(N / kg) (the head weight accounts for about 8% of the body weight).

[0061] The most suitable pillow height after supine compression (cm) = 0.015 * height (cm) - 0.003 * weight (kg) + 0.052 * shoulder width (cm) + 0.037 * head-shoulder distance (cm) + 0.394 * neck depth (cm) - 2.142.

[0062] The most suitable pillow height after lateral compression (cm) = 0.057 * height (cm) + 0.002 * weight (kg) - 0.016 * shoulder width (cm) + 0.137 * neck circumference (cm) + 0.074 * ear-shoulder distance (cm) + 0.043 * lateral neck depth (cm) - 7.215.

[0063] The above shows and describes the basic principles and main features of the present application and the advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above embodiments, and the above embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for determining a pillow height based on head-neck-shoulder parameters and pillow core material characteristics, characterized in that, a user having a body weight w, P1 is the compression rate of the pillow inner material corresponding to the pressure t, P2 is the resilience rate of the pillow inner material corresponding to the pressure t, wherein t = user body weight w * 8% * 9.

8.

2. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 1, characterized in that, The tester lies on the test bed on his back, and the headrest is placed on the standard test pillow. Then, the standard test pillow with different initial heights is replaced in turn, and the cervical lordosis angle in the normal upright state is maintained as the standard. When the cervical lordosis angle reaches the standard, the pillow height is determined as the optimal pillow height after supine compression of the tester.

3. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 1, characterized in that, Optimal pillow height after supine compression = 0.015*height-0.003*weight+0.052*shoulder width+0.037*head-shoulder distance+0.394*neck depth-2.

142.

4. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 1, characterized in that, a user having a body weight w, P1 is the compression rate of the pillow inner material corresponding to the pressure t, P2 is the resilience rate of the pillow inner material corresponding to the pressure t, wherein t = user body weight w * 8% * 9.

8.

5. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 4, characterized in that, The tester lies on the test bed on his side, and the headrest is placed on the standard test pillow. Then, the standard test pillow with different initial heights is replaced in turn. When the cervical spine is in a straight line when using a pillow with a certain height, the pillow height value at this time is recorded as the optimal pillow height after lateral compression of the tester.

6. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 4, characterized in that, Optimal pillow height after lateral compression = 0.057*height+0.002*weight-0.016*shoulder width+0.137*neck circumference+0.074*ear-shoulder distance+0.043*lateral neck depth-7.

215.

7. A generating system for self-adaptive determination of pillow height based on head-neck-shoulder multi-parameters and pillow core material characteristics, characterized in that, The pillow height before supine compression for a user with a weight of w is determined using the following formula, P1 is the compression rate of the pillow core material corresponding to the pressure t, P2 is the resilience rate of the pillow core material corresponding to the pressure t, wherein t = user weight w * 8% * 9.8, and the optimal pillow height after supine compression = 0.015 * height - 0.003 * weight + 0.052 * shoulder width + 0.037 * head-shoulder distance + 0.394 * neck depth - 2.

142.

8. The method of determining the pillow height based on the head-neck-shoulder parameters and the characteristics of the pillow core material according to claim 7, characterized in that, The pillow height before lateral compression is determined by the following formula, wherein the user has a body weight of w, P1 is the compression rate of the pillow material corresponding to the pressure t, P2 is the resilience rate of the pillow material corresponding to the pressure t, wherein t = user body weight w * 8% * 9.8, and the optimal pillow height after lateral compression = 0.057 * height + 0.002 * weight - 0.016 * shoulder width + 0.137 * neck circumference + 0.074 * ear-shoulder distance + 0.043 * lateral neck depth - 7.215.

Citation Information

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