Memory foam pillow for determining density based on head weight and recommendation method and system thereof

Abstract

The invention discloses a memory foam pillow capable of determining density based on head weight and a recommendation method and system.The memory foam pillow comprises a pillow body, the pillow body is provided with 11 memory foam subareas, the 11 memory foam subareas are set to be three densities according to the subarea positions, the three densities comprise a reference density and two densities determined by the reference density, and the reference density is obtained according to the head weight data of the target object and is used for adapting to the support requirements of different parts of the head and face. Scientific adaptation of the density of the memory foam pillow can be achieved according to the head weight data, due to the fact that different densities are arranged in a partition mode, the requirements of users for various sleeping postures can be met, dynamic adaptation under different sleeping postures is achieved through scientific partition arrangement of the density of the memory foam, accurate adaptation of the users with different head weights can be achieved, and the user experience is improved. And individual requirements are met.

Description

Technical Field

[0001] The present invention relates to the technical field of pillows, and in particular to a memory foam pillow whose density is determined based on head weight, and a recommendation method and system thereof. Background Art

[0002] Traditional memory foam pillows, formed from a single-density foaming process to create a homogeneous structure, can provide basic support but cannot address the dynamic adaptation problem of side-sleeping, where head weight changes with pillow height. Fixed-density memory foam pillows cannot accommodate people with varying head weights. Some pillows utilize a zoned design, for example, dividing the pillow core into 5-7 zones with varying densities. However, these designs lack precise biomechanical parameters and often rely on empirically determined zone density ratios, leading to issues such as temporomandibular joint compression and excessive load on the trapezius muscles during actual use.

[0003] Therefore, there is an urgent need for a memory foam pillow that can dynamically adapt according to the weight of the head to achieve personalized and precise adaptation of the pillow. Summary of the Invention

[0004] The present invention aims to provide a memory foam pillow that can be dynamically adapted according to head weight data, to solve the problems that the existing technology cannot meet the needs of different head weights and the density setting is unscientific. The present invention realizes the scientific adaptation of the density of the memory foam pillow, which can meet the needs of users in various sleeping positions. The scientific zoning setting of the memory foam density realizes dynamic adaptation to different sleeping positions, so as to achieve accurate adaptation for users with different head weights and meet personalized needs.

[0005] In order to achieve the above-mentioned purpose, the basic scheme of the present invention is as follows: a gradient density memory foam pillow based on dynamic head weight measurement, comprising: a pillow body, the pillow body is provided with 11 memory foam partitions, and the 11 memory foam partitions are set to three densities according to the partition positions, wherein the three densities include a reference density and two densities determined by the reference density, and the reference density is obtained according to the head weight data of the target object, and is used to adapt to the support requirements of different parts of the head and face.

[0006] Furthermore, the 11 memory foam areas are divided into three areas on the left, middle and right sides. The middle area is longitudinally divided into five small areas, and the left and right areas are respectively longitudinally divided into three small areas. A small area in the middle of the three areas is set as the reference density a, and the small area in the middle is used as the boundary. The density of the small area on one side above the middle small area is set to 0.72a, and the density of the small area on the other side is set to 0.4a.

[0007] A method for recommending a memory foam pillow with density determined based on head weight is characterized in that it is used to recommend the above-mentioned memory foam pillow with density determined based on head weight, and includes the following steps: collecting the head weight of a target object at different pillow heights, determining the optimal pillow height based on the target object's body data, and obtaining the target head weight at the optimal pillow height; matching the corresponding reference density according to the target head weight; determining a memory foam pillow suitable for the target object based on the reference density, and recommending a memory foam pillow.

[0008] Furthermore, determining the optimal pillow height according to the target subject's body data includes: obtaining the target subject's body data, wherein the body data includes shoulder width and head width; and calculating the optimal pillow height suitable for the target subject according to the shoulder width and head width, using the formula: , In the formula, H represents the optimal pillow height, k represents the shoulder width, and t represents the head width.

[0009] Furthermore, the matching of the corresponding reference density according to the target head weight includes: when the target head weight is less than 2.5kg, the corresponding reference density is 30D; when the target head weight is greater than or equal to 2.5kg and less than 3.5kg, the corresponding reference density is 35D; when the target head weight is greater than or equal to 3.5kg and less than 4.5kg, the corresponding reference density is 40D; when the target head weight is greater than or equal to 4.5kg and less than 5.5kg, the corresponding reference density is 45D; when the target head weight is greater than or equal to 5.5kg, the corresponding reference density is 50D.

[0010] A memory foam pillow recommendation system based on head weight to determine density, characterized in that it is used to implement the above-mentioned memory foam pillow recommendation method based on head weight to determine density, and recommend the above-mentioned memory foam pillow based on head weight to determine density, comprising: a high-precision lifting platform, a multi-modal sensor group, a safety protection device and a control screen; the high-precision lifting platform, the multi-modal sensor group, the safety protection device and the control screen are electrically connected; the high-precision lifting platform is used to lift the target object's head at a constant speed so that the target object's head is placed under different pillow heights; the multi-modal sensor group includes a three-axis pressure sensor array and a position sensor. The three-axis pressure sensor array is used to collect the head weight data of the target object at different pillow heights, and the displacement sensor is used to measure the height displacement of the high-precision lifting platform; the safety protection device includes an emergency stop button and a buffer air cushion, the emergency stop button is used to shut down the high-precision lifting platform, and the buffer air cushion is used to provide buffering protection for the head of the target object; the control screen is used to determine the optimal pillow height according to the body data of the target object, and obtain the target head weight at the optimal pillow height according to the head weight data, match the corresponding reference density according to the target head weight, and determine the memory foam pillow suitable for the target object based on the reference density.

[0011] Compared with the existing technology, the advantages and beneficial effects of the present invention are: based on the anatomical structure of the head and face, the pillow body is set to 11 memory foam partitions, and the 11 memory foam partitions are set with three densities according to the partition positions to meet the support needs of different head weights, including a baseline density and two densities determined by the baseline density. The baseline density is obtained according to the head weight data of the target object and is used to adapt to the support needs of different parts of the head and face. The density of the memory foam pillow is scientifically adapted according to the head weight data. Since the partitions are set with different densities, the needs of users in various sleeping positions can be met. The scientific partition setting of the memory foam density realizes dynamic adaptation to different sleeping positions, so as to achieve precise adaptation to users with different head weights and meet personalized needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic diagram of density zoning of a gradient density memory foam pillow based on dynamic head weight measurement in one embodiment; Figure 2 1. A flow chart of a method for recommending a memory foam pillow by determining density based on head weight in one embodiment; Figure 3 Schematic diagram of a memory foam pillow recommendation system that determines density based on head weight in one embodiment; FIG4 is a measurement curve obtained by using a memory foam pillow recommendation system that determines density based on head weight in one embodiment. DETAILED DESCRIPTION

[0013] To make the present invention more clear and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0014] In one embodiment, a memory foam pillow with density determined based on head weight is provided, including: a pillow body, the pillow body is provided with 11 memory foam partitions, the 11 memory foam partitions are set to three densities according to the partition positions, wherein the three densities include a baseline density and two densities determined by the baseline density, the baseline density is obtained based on the head weight data of the target object, and is used to adapt to the support requirements of different parts of the head and face.

[0015] In this embodiment, based on the anatomical structure of the head and face, the pillow body is set to 11 memory foam partitions. The 11 memory foam partitions are set with three densities according to the partition positions to meet the support needs of different head weights, including a baseline density and two densities determined by the baseline density. The baseline density is obtained according to the head weight data of the target object and is used to adapt to the support needs of different parts of the head and face. The density of the memory foam pillow is scientifically adapted according to the head weight data. Since the partitions are set with different densities, the needs of users in various sleeping positions can be met. The scientific partition setting of the memory foam density realizes dynamic adaptation to different sleeping positions, so as to achieve precise adaptation to users with different head weights and meet personalized needs.

[0016] like Figure 1 As shown, the 11 memory foam areas are divided into three areas on the left, middle and right. The middle area is divided into five small areas longitudinally, and the left and right areas are each divided into three small areas longitudinally. A small area in the middle of the three areas is set as the benchmark density a, and with the small area in the middle as the boundary, the density of the small area on one side of the middle small area is set to 0.72a, and the density of the small area on the other side is set to 0.4a.

[0017] Specifically, the 11 zones of the memory foam pillow are divided into three areas: left, center, and right. The left and right areas are divided into three smaller areas, and the center area is divided into five smaller areas. Each smaller area is named from top to bottom: Left 1, Left 2, Left 3, Center 1, Center 2, Center 3, Center 4, Center 5, Right 1, Right 2, and Right 3.

[0018] When setting the density, the memory foam density of the three small areas in the middle of the three areas (left 2, middle 3 and right 2) is set to the base density a. With the three small areas in the middle as the boundaries, the memory foam density of the upper small areas, namely left 1, middle 1, middle 2 and right 1, is set to 0.72a, and the memory foam density of the lower small areas, namely left 3, middle 4, middle 5 and right 3, is set to 0.4a, thus forming a partitioned density system for the memory foam pillow to meet the support needs of different parts of the head and face, such as the cochlear part, mandible and temporal bone corresponding to memory foam partitions of different densities, thereby adapting to the user's actual sleep needs.

[0019] In one embodiment, Figure 2 As shown, a method for recommending a memory foam pillow with density determined based on head weight is provided, which is used to recommend a memory foam pillow with density determined based on head weight as described above, comprising the following steps: Step S110 , collecting the head weight of the target subject at different pillow heights when the target subject is in a standard side-lying position, determining the optimal pillow height based on the target subject's body data, and obtaining the target head weight at the optimal pillow height.

[0020] Specifically, since the head weight of the same person varies greatly under different pillow heights (pillow height), it is necessary to collect the head weight of the target object at different pillow heights when the target object is in a standard side-lying position, determine the optimal pillow height for the target object based on the target object's body data, and obtain the target head weight at the optimal pillow height based on the collected data.

[0021] Among them, when the target subject is in a standard lateral position, the coronal plane of the body is perpendicular to the measurement platform, the knees are slightly bent, one hand is placed on the body, and the other hand is straightened and placed on the bed at 90° to the body, the head is placed on the measurement platform, and the eyes are facing straight ahead.

[0022] The steps for determining the optimal pillow height are as follows: obtaining the target subject's body data, including shoulder width and head width; and calculating the optimal pillow height for the target subject based on the shoulder width and head width. The formula is: , In the formula, H represents the optimal pillow height, k represents the shoulder width, and t represents the head width.

[0023] Specifically, when lying on the side, the target object's body data, including shoulder width and head width, can be obtained, and the optimal pillow height suitable for the target object can be calculated based on the shoulder width and head width, so as to facilitate the recommendation of personalized memory foam pillows for the target object.

[0024] In addition, the optimal pillow height can be reviewed manually or with imaging equipment. When the target object is at the optimal pillow height, the thoracic spine and cervical spine are aligned and in a straight line. At this time, the optimal pillow height can be determined to be correct. If the thoracic spine and cervical spine are too low, there will be a downward angle, and the optimal pillow height needs to be recalculated to ensure the accuracy of the data.

[0025] Step S120: re-matching the corresponding reference density according to the target head.

[0026] Specifically, after obtaining the target head weight of the target object, the corresponding reference density is adapted according to the set matching rules to meet the sleep needs of the target user.

[0027] Among them, step S120 includes: when the target head weight is less than 2.5kg, the corresponding reference density is 30D; when the target head weight is greater than or equal to 2.5kg and less than 3.5kg, the corresponding reference density is 35D; when the target head weight is greater than or equal to 3.5kg and less than 4.5kg, the corresponding reference density is 40D; when the target head weight is greater than or equal to 4.5kg and less than 5.5kg, the corresponding reference density is 45D; when the target head weight is greater than or equal to 5.5kg, the corresponding reference density is 50D.

[0028] Specifically, D stands for density, which is measured in kilograms per cubic meter (kg / m³). The larger the value, the higher the density.

[0029] Step S130: determining a memory foam pillow suitable for the target object according to the reference density, and recommending a memory foam pillow.

[0030] Specifically, after determining the benchmark density, the corresponding memory foam pillow can be matched according to the benchmark density, and memory foam pillows can be recommended to the target object, thereby realizing scientific and personalized gradient density memory foam pillow recommendations for different users.

[0031] In this embodiment, the target head weight at the optimal pillow height is obtained by collecting the head weight of the target object at different pillow heights and determining the optimal pillow height based on the target object's body data. The corresponding reference density is matched according to the target head weight, and the memory foam pillow suitable for the target object is determined based on the reference density. The corresponding memory foam headrest is recommended to meet the personalized pillow recommendations for users with different head weights and achieve scientific pillow adaptation.

[0032] In one embodiment, Figure 3As shown, a memory foam pillow recommendation system 30 for determining density based on head weight is also provided, which can implement the memory foam pillow recommendation method based on head weight determination as described above, and recommend the memory foam pillow based on head weight determination as described above, including: a high-precision lifting platform 31, a multi-modal sensor group 32, a safety protection device 33 and a control screen 34; the high-precision lifting platform 31, the multi-modal sensor group 32, the safety protection device 33 and the control screen 34 are electrically connected; the high-precision lifting platform 31 is used to lift the head of the target object at a uniform speed so that the head of the target object is under different pillow heights; the multi-modal sensor group 32 Group 32 includes a three-axis pressure sensor array and a displacement sensor. The three-axis pressure sensor array is used to collect the head weight data of the target object at different pillow heights, and the displacement sensor is used to measure the height displacement of the high-precision lifting platform; the safety protection device 33 includes an emergency stop button and a buffer air cushion. The emergency stop button is used to shut down the high-precision lifting platform, and the buffer air cushion is used to provide buffering protection for the head of the target object; the control screen 34 is used to determine the optimal pillow height according to the body data of the target object, and obtain the target head weight at the optimal pillow height according to the head weight data, match the corresponding reference density according to the target head weight, and determine the memory foam pillow suitable for the target object based on the reference density.

[0033] In this embodiment, the head of the target object is lifted at a constant speed by the high-precision lifting platform 31, so that the head of the target object is placed under different pillow heights; the head weight data of the target object at different pillow heights is collected by the three-axis pressure sensor array in the multimodal sensor group 32, and the height displacement of the high-precision lifting platform 31 is measured by the displacement sensor; in an emergency (such as equipment abnormality or failure), the high-precision lifting platform 31 can be shut down by the emergency stop button in the safety protection device 33, and the buffer air cushion is popped out to cushion the head of the target object to ensure safety during the measurement; the control screen 34 is used to calculate the optimal pillow height according to the body data of the target object, and the target head weight at the optimal pillow height is determined according to the head weight data, and the corresponding reference density is matched according to the target head weight. Finally, the memory foam pillow suitable for the target object is determined according to the reference density, thereby achieving scientific adaptation of the memory foam pillow density, meeting the pillow needs of users with different head weights, and achieving personalized and precise adaptation.

[0034] Specifically, before measurement, the system needs to be calibrated and zeroed.

[0035] Specifically, the high-precision lifting platform has a travel range of 0 to 25 cm and a speed control accuracy of ±0.1 mm / s. During measurement, the high-precision lifting platform can uniformly lift the target subject's head at a speed of 1 cm / s and simultaneously collect head weight data at different heights in millimeters. The sampling frequency of the three-axis pressure sensor array is set to 50 Hz with a resolution of 0.01 N. The displacement sensor can use a laser displacement meter for real-time height data collection, with an accuracy of ±0.1 mm.

[0036] In one embodiment, Figure 4 shows curves measured using the memory foam pillow recommendation system, including a head weight-time curve (a), a height-time curve (b), and a head weight-height curve (c). Based on the measured curves, head weight data at different heights can be obtained to facilitate subsequent memory foam pillow recommendations.

[0037] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0038] The above is only an embodiment of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the field are aware of all common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A memory foam pillow with density determined based on head weight, characterized in that: include: The pillow body is provided with 11 memory foam partitions, and the 11 memory foam partitions are set to three densities according to the partition positions, wherein the three densities include a reference density and two densities determined by the reference density, and the reference density is obtained according to the head weight data of the target object, and is used to adapt to the support requirements of different parts of the head and face.

2. The memory foam pillow with density determined based on head weight according to claim 1, characterized in that: The 11 memory foam areas are divided into three areas: left, middle and right. The middle area is divided into five small areas vertically, and the left and right areas are each divided into three small areas vertically. A small area located in the middle of the three areas is set as the benchmark density a. Taking the small area in the middle as the boundary, the density of the small area above the middle small area is set to 0.72a, and the density of the small area below the middle small area is set to 0.4a.

3. A memory foam pillow recommendation method based on head weight to determine density, characterized in that: The method for recommending a memory foam pillow having a density determined based on head weight as claimed in any one of claims 1 to 2 comprises the following steps: Collect the target subject's head weight at different pillow heights, determine the optimal pillow height based on the target subject's body data, and obtain the target head weight at the optimal pillow height; Rematching the corresponding reference density according to the target head; The memory foam pillow suitable for the target object is determined according to the reference density, and a memory foam pillow recommendation is made.

4. The memory foam pillow recommendation method based on head weight and density as claimed in claim 3, characterized in that: Determining the optimal pillow height according to the target subject's body data includes: Acquiring body data of the target object, wherein the body data includes shoulder width and head width; The optimal pillow height for the target object is calculated based on the shoulder width and head width. The formula is: ， In the formula, H represents the optimal pillow height, k represents the shoulder width, and t represents the head width.

5. The memory foam pillow recommendation method based on head weight and density determination according to claim 3, characterized in that: The re-matching the corresponding reference density according to the target head includes: When the target head weight is less than 2.5 kg, the corresponding reference density is 30D; When the target head weight is greater than or equal to 2.5 kg and less than 3.5 kg, the corresponding reference density is 35D; When the target head weight is greater than or equal to 3.5 kg and less than 4.5 kg, the corresponding reference density is 40D; When the target head weight is greater than or equal to 4.5 kg and less than 5.5 kg, the corresponding reference density is 45D; When the target head weight is greater than or equal to 5.5 kg, the corresponding reference density is 50D.

6. A memory foam pillow recommendation system based on head weight to determine density, characterized in that: A method for recommending a memory foam pillow according to any one of claims 3 to 5, wherein the method recommends a memory foam pillow according to any one of claims 1 to 2, wherein the method comprises: A high-precision lifting platform, a multi-modal sensor group, a safety protection device and a control panel; the high-precision lifting platform, the multi-modal sensor group, the safety protection device and the control panel are electrically connected; The high-precision lifting platform is used to lift the head of the target object at a uniform speed so that the head of the target object is placed under different pillow heights; The multimodal sensor group includes a three-axis pressure sensor array and a displacement sensor, wherein the three-axis pressure sensor array is used to collect head weight data of the target object at different pillow heights, and the displacement sensor is used to measure the height displacement of the high-precision lifting platform; The safety protection device includes an emergency stop button and a buffer air cushion, wherein the emergency stop button is used to shut down the high-precision lifting platform, and the buffer air cushion is used to provide buffering protection for the head of the target object; The control screen is used to determine the optimal pillow height based on the body data of the target object, and obtain the target head weight under the optimal pillow height based on the head weight data, match the corresponding reference density according to the target head weight, and determine the memory foam pillow suitable for the target object based on the reference density.

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