Spring arrangement method of customized mattress and human body characteristic detection and acquisition system thereof

Abstract

The invention discloses a spring arrangement method of a customized mattress and a human body characteristic detection and acquisition system thereof, and the human body characteristic detection and acquisition system comprises a visible light human body data acquisition module, a laser reference positioning module, a human body skeleton and joint data acquisition module, a bioelectricity data acquisition module and a rack. According to body curve data collected by a human body characteristic detection and collection system for consumers and customizers and muscle fat contents of all parts, supporting springs are independently arranged, and according to the line diameter, the outer diameter, the original height, the compression height, the elastic coefficient and the like of the springs, a result is calculated through a spring constant formula, and human body data measured by people are calculated. Different types of springs (springs with different k values) are selected in different areas, and a spring layer conforming to a customer is designed, so that when the customer lies flat or lies on the side, the spine keeps physiological balance, and the bounce force borne by each part of the body is basically consistent. And the sleeping comfort of clients is improved as much as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of mattress manufacturing, and in particular to a spring arrangement method of a customized mattress and a human body feature detection and collection system thereof. Background Art

[0002] At present, most of the mid-to-high-end spring mattresses on the market use independent spring bags. In order to conform to the human body curve, the springs are divided into five, seven, or nine zones according to the hardness of the springs (it is hoped that the back and shoulders correspond to the harder areas, and the buttocks correspond to the softer areas).

[0003] However, although this arrangement is advanced, it still has the following disadvantages that are not taken into account:

[0004] 1: Everyone has a different height, and the height of the couple on the mattress is also different. The corresponding zones 5, 7, and 9 cannot perfectly correspond to the body curves. It is also very likely that the back, which should correspond to the harder zone, sleeps in the softer zone, while the buttocks, which should correspond to the softer zone, sleep in the harder zone. (As shown in the picture above, the person's height should be between 1.8 and 1.9 meters to meet the partition ratio of the mattress)

[0005] 2: Even if a person's height perfectly meets the requirements of the spring mattresses in the above five, seven, and nine zones, the same mattress has different requirements for spring support for different body shapes. For example, the same woman, before she got pregnant, slept comfortably on a mattress, but after six months of pregnancy, she will most likely feel back pain when sleeping on a mattress. At this time, she needs to put some soft objects (such as a small pillow, or a special waist pad for shipping) on ​​her waist. In the same way, two people with the same height and body proportions, if one has a big belly and the other has a standard body shape, their waist support spring requirements are also different. (People with big bellies need harder support for their waists, otherwise their waists and buttocks will sink too deeply, and they will sleep for a long time at night. The spine cannot be flat for a long time and has a certain tilt angle, which will compress the nerves. At the mildest, they will turn over many times, which will reduce the quality of sleep, and at the worst, they will wake up with back pain the next day). Therefore, we propose a spring arrangement method for mattresses that conforms to comprehensive human body information, which requires comprehensive measurement of the height of each part of the human body (ankle, knee, under the buttocks, above the buttocks, waist, back shoulders, neck, head), as well as the circumference and fat content of each part (such as waist circumference, hip circumference, thigh circumference, shoulder width, and muscle fat content of each part). We arrange the support springs independently according to the curve of the body and the muscle fat content of each part. Summary of the invention

[0006] The purpose of the present invention is to provide a spring arrangement method for a customized mattress and a human body feature detection and collection system thereof, which can collect human body feature information data of consumers and customizers, comprehensively measure the height of various parts of the human body, as well as the circumference and fat content of various parts; independently arrange support springs according to the body curves (human body feature data) of consumers and customizers, and the muscle fat content of various parts.

[0007] In order to solve the above technical problems, the technical solution of the present invention is:

[0008] A human feature detection and acquisition system, comprising a visible light human data acquisition module, a laser reference positioning module, a human skeleton and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human skeleton and joint data acquisition module, and the bioelectric data acquisition module are fixedly arranged on the frame;

[0009] Visible light human body data acquisition module: This method usually uses high-definition cameras and other sensor devices to shoot and record the human body to obtain various unstructured data. In this process, the human body image obtained through visible light data can be divided into different parts, such as head, upper body, lower body, etc., so as to obtain more detailed and anatomically meaningful data. At the same time, laser reference positioning technology can also provide high-precision spatial position information to help accurately locate various parts of the human body.

[0010] Laser reference positioning: Laser positioning can be used to determine the position and posture of the human body, thereby providing more accurate data.

[0011] Human skeleton and joint data collection: By using special sensors and monitoring equipment, the movement of human skeleton and joints can be recorded to obtain relevant data. Images of the human body are collected from multiple angles and converted into three-dimensional models. Then, key point detection algorithms are used to identify human skeleton and joints. These data can be used for subsequent calculations of the human body force structure arrangement model.

[0012] Bioelectric data collection: This method uses bioelectric signal monitoring equipment to record the electrical signals generated by the human body and convert them into digital signals for processing and analysis. The collection of bioelectric data can be achieved by attaching electrodes to the surface of the human body and measuring the weak electrical signals of the human body. Through the human body fat and distribution algorithm, the fat content and distribution of the human body can be calculated based on the resistance value. In addition, by using weight collection equipment, the body weight data can be obtained, which can be used for subsequent model analysis.

[0013] Human body data generation (structured data) collection:

[0014] 1. Use the unstructured data collected by the visible light human body data collection equipment and the unstructured data located by the laser reference to analyze and establish human body structured data through the visual analysis algorithm.

[0015] 2. Use visible light human body data acquisition equipment to generate non-visual data of human bones and joints, and use visual analysis algorithms to analyze and establish structured data of human bones and joints. These data can help the model perform calculations.

[0016] 3. Use bioelectricity and weight collection equipment to generate human weight data, body fat and muscle distribution data through human body fat and muscle distribution algorithm, including: weight, body shape, BMI, body fat rate, muscle weight, visceral fat, water rate, bone mass, fat weight, muscle rate, obesity, estimated lumbar ratio, skeletal muscle of limbs, body shape, skeletal muscle weight, water weight and other structured data.

[0017] Data initial processing:

[0018] 1. Through the human body structured data, the human body contour acquisition algorithm is used to generate detailed data of the human body contour structure, including: occipital cervical vertebrae curvature, thoracic vertebrae curvature, lumbar vertebrae curvature, shoulder width, back curvature, hip curvature, thigh curvature, and calf curvature. These data can be used for the next step of mattress pressure model analysis.

[0019] 2. Generate bone and joint structured data using human joint structured data and body skeleton algorithm, including:

[0020] Occipital position, shoulder blade position, ilium position, spine position and spine length, femur position, upper arm position and upper arm length, forearm position and forearm length, thigh bone position and thigh bone length, calf bone position and calf bone length, etc. These data can be used for the next step of mattress compression model analysis.

[0021] 3. Based on the human body weight data, body fat and muscle distribution data, the human body weight distribution algorithm is used to generate structured data of human body surface gravity distribution. These data can be used to design mattresses with a larger human body contact area.

[0022] Model analysis:

[0023] Utilize human structured data: human body contour structured data, human skeleton and joint structured data, human body surface gravity distribution structured data, use human body force structure arrangement model through trained human body shape and sleeping posture characteristic model, and then adjust by manual parameters for calculation. These model analyses are used for human body mechanics analysis and design and to predict the pressure distribution of the human body in different postures.

[0024] 5. Output production data

[0025] The calculation results of the human body force structure arrangement model are archived and a production plan is generated. These data can be used to formulate more scientific and reasonable production processes and plans.

[0026] Mattress production data: including human body surface area, zone pressure table, elastic element configuration table (material rigidity modulus, wire diameter, outer diameter, inner diameter, center diameter, total number of turns, effective number of turns, etc.), comfort layer material configuration table and other production data. These production data can be used to design and produce more ergonomic mattress products.

[0027] A method for arranging springs of a customized mattress, according to the body curve data collected by a human body feature detection and collection system from consumers and customizers, as well as the muscle fat content of various parts, independently arranging the support springs: according to the wire diameter, outer diameter, original height, compressed height, elastic coefficient, etc. of the spring, through the spring constant formula:

[0028] Spring constant: expressed as k, the load per 1mm increase in distance when the spring is compressed (kgf / mm);

[0029] Spring constant formula (unit: kgf / mm):

[0030] k=(G×d) / (8×Dm×Nc)

[0031] G = rigidity modulus of wire: piano wire G = 8000; stainless steel wire G = 7300, phosphor bronze wire G = 4500, brass wire G = 3500

[0032] d = wire diameter

[0033] Dm = median diameter

[0034] N = total number of turns, Nc = effective number of turns = N-2

[0035] According to the calculation results of the formula and the human body data we measured, we select different types of springs (springs with different k values) in different areas and design a spring layer that suits the customer, so that when the customer lies flat or on his side, the spine maintains physiological balance and the rebound force on each part of the body is basically the same, thus improving the customer's sleeping comfort as much as possible.

[0036] In addition: This spring layer design can also be applied to couples. According to the comprehensive physical information of the couple, a mattress can be designed with one side suitable for the husband and the other side suitable for the wife (for example, a 1.8-meter-wide mattress, 90 centimeters of which are designed according to the husband's body and 90 centimeters are designed according to the wife's body), to meet the high-quality sleep needs of both husband and wife.

[0037] Beneficial effects of the present invention:

[0038] It can collect human characteristic information data of consumers and customizers, and comprehensively measure the height, circumference and fat content of various parts of the human body; and independently arrange support springs according to the body curves (human characteristic data) of consumers and customizers, as well as the muscle fat content of various parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a flowchart illustrating the working process of a human feature detection and collection system. DETAILED DESCRIPTION

[0040] The specific embodiments of the present invention are further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0041] like Figure 1 As shown, a human feature detection and acquisition system includes a visible light human data acquisition module, a laser reference positioning module, a human skeleton and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human skeleton and joint data acquisition module, and the bioelectric data acquisition module are fixedly arranged on the frame;

[0042] Visible light human body data acquisition module: This method usually uses high-definition cameras and other sensor devices to shoot and record the human body to obtain various unstructured data. In this process, the human body image obtained through visible light data can be divided into different parts, such as head, upper body, lower body, etc., so as to obtain more detailed and anatomically meaningful data. At the same time, laser reference positioning technology can also provide high-precision spatial position information to help accurately locate various parts of the human body.

[0043] Laser reference positioning: Laser positioning can be used to determine the position and posture of the human body, thereby providing more accurate data.

[0044] Human skeleton and joint data collection: By using special sensors and monitoring equipment, the movement of human skeleton and joints can be recorded to obtain relevant data. Images of the human body are collected from multiple angles and converted into three-dimensional models. Then, key point detection algorithms are used to identify human skeleton and joints. These data can be used for subsequent calculations of the human body force structure arrangement model.

[0045] Bioelectric data collection: This method uses bioelectric signal monitoring equipment to record the electrical signals generated by the human body and convert them into digital signals for processing and analysis. The collection of bioelectric data can be achieved by attaching electrodes to the surface of the human body and measuring the weak electrical signals of the human body. Through the human body fat and distribution algorithm, the fat content and distribution of the human body can be calculated based on the resistance value. In addition, by using weight collection equipment, the body weight data can be obtained, which can be used for subsequent model analysis.

[0046] Human body data generation (structured data) collection:

[0047] 4. Use the unstructured data collected by the visible light human body data acquisition equipment and the laser reference positioning unstructured data to analyze and establish human body structured data through visual analysis algorithms.

[0048] 5. Use visible light human body data acquisition equipment to generate non-visual data of human bones and joints, and use visual analysis algorithms to analyze and establish structured data of human bones and joints. These data can help the model perform calculations.

[0049] 6. Use bioelectricity and weight collection equipment to generate human weight data, body fat and muscle distribution data through human body fat and muscle distribution algorithm, including: weight, body shape, BMI, body fat rate, muscle weight, visceral fat, water rate, bone mass, fat weight, muscle rate, obesity, estimated lumbar ratio, skeletal muscle of limbs, body shape, skeletal muscle weight, water weight and other structured data.

[0050] Data initial processing:

[0051] 4. Through the human body structured data, the human body contour acquisition algorithm is used to generate detailed data of the human body contour structure, including: occipital cervical vertebrae curvature, thoracic vertebrae curvature, lumbar vertebrae curvature, shoulder width, back curvature, hip curvature, thigh curvature, and calf curvature. These data can be used for the next step of mattress pressure model analysis.

[0052] 5. Generate bone and joint structured data using human joint structured data and body skeleton algorithm, including:

[0053] Occipital position, shoulder blade position, ilium position, spine position and spine length, femur position, upper arm position and upper arm length, forearm position and forearm length, thigh bone position and thigh bone length, calf bone position and calf bone length, etc. These data can be used for the next step of mattress compression model analysis.

[0054] 6. Based on the human body weight data, body fat and muscle distribution data, the human body weight distribution algorithm is used to generate structured data of human body surface gravity distribution. These data can be used to design mattresses with a larger human body contact area.

[0055] Model analysis:

[0056] Utilize human structured data: human body contour structured data, human skeleton and joint structured data, human body surface gravity distribution structured data, use human body force structure arrangement model through trained human body shape and sleeping posture characteristic model, and then adjust by manual parameters for calculation. These model analyses are used for human body mechanics analysis and design and to predict the pressure distribution of the human body in different postures.

[0057] 5. Output production data

[0058] The calculation results of the human body force structure arrangement model are archived and a production plan is generated. These data can be used to formulate more scientific and reasonable production processes and plans.

[0059] Mattress production data: including human body surface area, zone pressure table, elastic element configuration table (material rigidity modulus, wire diameter, outer diameter, inner diameter, center diameter, total number of turns, effective number of turns, etc.), comfort layer material configuration table and other production data. These production data can be used to design and produce more ergonomic mattress products.

[0060] A method for arranging springs of a customized mattress, according to the body curve data collected by a human body feature detection and collection system from consumers and customizers, as well as the muscle fat content of various parts, independently arranging the support springs: according to the wire diameter, outer diameter, original height, compressed height, elastic coefficient, etc. of the spring, through the spring constant formula:

[0061] Spring constant: expressed as k, the load per 1mm increase in distance when the spring is compressed (kgf / mm);

[0062] Spring constant formula (unit: kgf / mm):

[0063] k=((G×d 1 ) / (8×Dm 5 ×Nc)

[0064] G = rigidity modulus of wire: piano wire G = 8000; stainless steel wire G = 7300, phosphor bronze wire G = 4500,

[0065] Brass wire G=3500

[0066] d = wire diameter

[0067] Dm = median diameter

[0068] N = total number of turns, Nc = effective number of turns = N-2

[0069] According to the calculation results of the formula and the human body data we measured, we select different types of springs (springs with different k values) in different areas and design a spring layer that suits the customer, so that when the customer lies flat or on his side, the spine maintains physiological balance and the rebound force on each part of the body is basically the same, thus improving the customer's sleeping comfort as much as possible.

[0070] In addition: This spring layer design can also be applied to couples. According to the comprehensive physical information of the couple, a mattress can be designed with one side suitable for the husband and the other side suitable for the wife (for example, a 1.8-meter-wide mattress, 90 centimeters of which are designed according to the husband's body and 90 centimeters are designed according to the wife's body), to meet the high-quality sleep needs of both husband and wife.

[0071] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions and variations of these embodiments are made without departing from the principles and spirit of the present invention, and still fall within the protection scope of the present invention.

Claims

1. A spring arrangement method for a customized mattress and a human feature detection and collection system thereof, characterized in that: According to the body curve data collected by the human body feature detection and collection system from consumers and customizers, as well as the muscle fat content of various parts, the support springs are arranged independently. According to the wire diameter, outer diameter, original height, compressed height, elastic coefficient, etc. of the spring, the spring constant formula is used: Spring constant: Expressed as k, when the spring is compressed, the load for every 1mm increase in distance (kgf / mm); Spring constant formula (unit: kgf / mm): k=(G×d 1 )×(8×Dm 3 ×Nc) G = rigidity modulus of wire: piano wire G = 8000; stainless steel wire G = 7300, phosphor bronze wire G = 4500, brass wire G = 3500 d = wire diameter Dm = median diameter N = total number of turns, Nc = effective number of turns = N-2 According to the calculation results of the formula and the human body data we measured, we select different types of springs in different areas and design a spring layer that suits the customer. This allows the customer's spine to maintain physiological balance when lying flat or on their side, and the rebound force on various parts of the body is basically the same.

2. The spring arrangement method of a customized mattress and the human body feature detection and collection system thereof according to claim 1 are characterized in that: The mattress comprises a left half and a right half, and the left half and the right half are respectively customized with corresponding spring arrangements for males and females.

3. The spring arrangement method of a customized mattress and the human body feature detection and collection system thereof according to claim 2 are characterized in that: The human feature detection and acquisition system includes a visible light human data acquisition module, a laser reference positioning module, a human bone and joint data acquisition module, a bioelectric data acquisition module, and a frame; the visible light human data acquisition module, the laser reference positioning module, the human bone and joint data acquisition module, and the bioelectric data acquisition module are fixed on the frame.

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