Multifunctional human body data measuring system

Abstract

The invention relates to a multifunctional human body data measuring system. The system comprises a supporting frame, an intelligent telescopic rod array, a supporting pad and a main control unit. The intelligent telescopic rod array is arranged on the support frame, consists of a plurality of uniformly distributed intelligent telescopic rods, and is used for synchronously detecting displacement data and pressure data of the intelligent telescopic rods; the buffering cushion is laid on the supporting frame and provided with holes matched with the intelligent telescopic rod array, and the intelligent telescopic rods can be embedded into the holes; the main control unit is used for receiving the displacement data and the pressure data and calculating the three-dimensional shape, the spine shape and the body pressure distribution of the human body based on the data. By adopting the system, integrated synchronous acquisition of multi-modal data can be realized, the problem of inaccurate data of an independent measurement module is effectively solved, and the accuracy and efficiency of comfort evaluation of human body support products such as mattresses and the like are improved.

Description

Technical Field

[0001] This application relates to the fields of ergonomics and intelligent measurement technology, and in particular to a multifunctional human body data measurement system. Background Technology

[0002] In the design and objective evaluation of the comfort of human support products such as mattresses, car seats, and medical care beds, it is necessary to accurately obtain multi-dimensional physical data on the interaction between the human body and the support interface. Among these, the three-dimensional shape of the human body, the shape of the spine, and the distribution of body pressure are three key indicators for assessing the fit and comfort of the support.

[0003] In traditional techniques, acquiring the aforementioned multimodal data typically relies on a combination of multiple independent measurement devices, making it impossible to simultaneously acquire human 3D morphology, spinal morphology, and body pressure distribution data in a single measurement operation. Because the measurement process is performed time-sharingly and on multiple devices, it is difficult for subjects to maintain a completely consistent lying posture across different devices, leading to inaccurate spatiotemporal alignment of data from different sources and introducing significant matching errors. Furthermore, the multiple measurement procedures are cumbersome and time-consuming, and the systematic errors from different devices accumulate, affecting the accuracy of the measurement results.

[0004] Furthermore, each existing functional module has certain drawbacks. For example, when generating a 3D human body model, the accuracy of optical mapping equipment may be limited by sensor performance and data processing algorithms, resulting in an inaccurate model. Existing spinal morphology measurement instruments require manual insertion of a probe into the mattress to measure the difference in the probe's extension at various measuring points on the mattress before and after the subject lies supine, as well as the amount of mattress depression at the spine when the subject lies supine. This method requires repeated insertion and removal for each test, and the testing error is relatively large.

[0005] In summary, existing technologies have failed to effectively solve the core technical challenge of simultaneously and accurately acquiring multimodal data such as human body three-dimensional morphology, spinal morphology, and body pressure distribution in a single measurement operation, which seriously restricts the accuracy and reliability of comfort assessment and personalized adaptation of support products such as mattresses. Summary of the Invention

[0006] Therefore, it is necessary to provide a multifunctional human body data measurement system that can achieve integrated and synchronous acquisition of multimodal data to address the aforementioned technical problems.

[0007] In a first aspect, this application provides a multifunctional human body data measurement system, comprising:

[0008] Support frame;

[0009] An intelligent telescopic rod array, mounted on the support frame, consists of multiple evenly distributed intelligent telescopic rods, wherein the intelligent telescopic rods are used to simultaneously detect displacement data and pressure data;

[0010] A buffer pad is laid on the support frame and has holes that match the position and size of the intelligent telescopic rod array so that the intelligent telescopic rod can be embedded in the buffer pad.

[0011] The main control unit is used to receive the displacement data and pressure data collected by the intelligent telescopic rod array, and to calculate the three-dimensional shape of the human body, the spinal shape, and the body pressure distribution.

[0012] In one embodiment, the smart telescopic pole includes:

[0013] The telescopic rod is used to change its length according to the control command sent by the main control unit to adapt to the contour of the human body when lying down;

[0014] An electric motor is used to drive the telescopic rod to extend and retract;

[0015] A pressure sensor is used to detect the pressure applied by the human body and transmit the pressure data to the main control unit;

[0016] A displacement sensor is used to collect displacement data caused by changes in the length of the telescopic rod and transmit the displacement data to the main control unit.

[0017] In one embodiment, the main control unit is configured to perform the following operations:

[0018] When the human body comes into contact with the cushioning pad, the first pressure data collected by the pressure sensor is received;

[0019] Based on the first pressure data, the telescopic rod is controlled to change its length and locked after the human body is lying down and stable;

[0020] Based on the displacement data collected by the locked displacement sensor, the three-dimensional shape and the spinal shape are calculated;

[0021] The body pressure distribution is calculated based on the second pressure data collected by the locked pressure sensor.

[0022] In one embodiment, the main control unit is configured to:

[0023] Based on the displacement data, body parts of the human body are identified, including the head, shoulders, waist, hips, and legs;

[0024] Based on the identified body parts' contours, a three-dimensional human body model is constructed.

[0025] In one embodiment, the main control unit is configured to:

[0026] By analyzing the differences between the left and right sides and the middle data in the displacement data, the position of the spinal shape can be located.

[0027] The spinal morphology curve is obtained based on the displacement data;

[0028] Based on the spinal morphology curve, the difference in lumbar-back gap and the difference in hip-back tilt angle are calculated.

[0029] In one embodiment, the main control unit is configured to:

[0030] Based on the second pressure data, calculate one or more body pressure parameters from the following: maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, and contact area.

[0031] In one embodiment, each of the smart telescopic poles further includes a microcontroller connected to the main control unit via a wireless communication module, which includes Bluetooth or Wi-Fi.

[0032] In one embodiment, the support frame includes:

[0033] Height-adjustable support legs are located at the four corners of the support frame; adjusting nuts are connected to the support legs and are used to manually rotate to adjust the level of the support frame; anti-slip rubber pads are located at the bottom of the support legs.

[0034] In one embodiment, the holes in the mattress are wrapped with a flexible material to reduce the impact of the perforations on the mattress's firmness.

[0035] In one embodiment, the displacement sensor is a Hall sensor, used to calculate the linear displacement of the telescopic rod by detecting the rotational stroke of the motor.

[0036] The aforementioned multifunctional human body data measurement system and device, by setting holes in the mattress that are compatible with the intelligent telescopic rod array, enables the intelligent telescopic rod array to simultaneously collect the three-dimensional shape of the human body, the spinal shape, and the body pressure distribution in a single measurement. Based on the synchronously collected data, the main control unit uniformly calculates the three-dimensional shape of the human body, the spinal shape, and the body pressure distribution, effectively avoiding matching errors caused by posture changes when measuring different data separately in traditional technologies. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 This is a structural block diagram of a multifunctional human body data measurement system in one embodiment;

[0039] Figure 2 This is a top view of a multifunctional human body data measurement system in one embodiment;

[0040] Figure 3 This is a side view of a multifunctional human body data measurement system in one embodiment;

[0041] Figure 4 This is a structural diagram of the telescopic rod in one embodiment;

[0042] Figure 5 This is a flowchart illustrating the measurement steps of the main control unit in one embodiment;

[0043] Figure 6 This is a flowchart illustrating the steps of the main control unit measuring the spinal morphology in one embodiment. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0045] Figure 1 This is a connection diagram of the multifunctional human body data measurement system 100 provided in the embodiments of this application, as shown below. Figure 1 As shown, the system mainly includes a support frame 101, an intelligent telescopic pole array 102, a buffer pad 103, and a main control unit 104.

[0046] The support frame 101 serves as the load-bearing foundation of the system, and the buffer pad 103 is laid on its top. The intelligent telescopic rod array 102 is fixedly installed on the bottom frame of the support frame 101, and it consists of multiple evenly distributed intelligent telescopic rods, each of which is embedded in a pre-set corresponding hole in the buffer pad 103.

[0047] The main control unit 104, serving as the core of the system's control and data processing, establishes a connection with each intelligent telescopic pole in the intelligent telescopic pole array 102 via wired or wireless communication. This main control unit 104 sends control commands to the intelligent telescopic poles and receives displacement and pressure data collected in real time by the intelligent telescopic poles. The main control unit 104 can be a dedicated industrial computer embedded inside the support frame, or an independent computing device located beside the support frame, such as a desktop computer, industrial control computer, or server. It is responsible for running pre-set algorithm programs to calculate and analyze the three-dimensional morphology of the human body, the spinal morphology, and body pressure distribution.

[0048] Specifically, the support frame 101 serves as the fundamental load-bearing facility for the entire system, providing a stable installation platform for other components. The dimensions of the support frame can be customized according to different application scenarios (such as hospital wards, rehabilitation centers, research laboratories, etc.). For example, the typical length of the support frame is 1.8-2.2 meters, and the width is 0.8-1.2 meters.

[0049] Optionally, the bottom of the support frame 101 is provided with height-adjustable feet to calibrate the levelness of the entire system, thereby reducing systematic measurement errors caused by platform tilt and ensuring consistent data acquisition benchmarks.

[0050] The intelligent telescopic pole array 102 is fixedly installed at the bottom of the support frame 101 and consists of multiple intelligent telescopic pole units evenly distributed according to predetermined rules (such as a matrix). This array unifies shape perception and pressure perception both physically and temporally. Each intelligent telescopic pole unit integrates drive, displacement sensing, and pressure sensing modules, enabling it not only to passively read data but also to actively extend and retract under the control of the main control unit 104, thereby dynamically conforming to the curves of the human body.

[0051] A cushioning pad 103 is laid on top of the support frame 101. The filling material of this cushioning pad can be selected from slow-rebound sponge, latex, or spring combinations of different hardness levels to simulate cushioning pad products of varying hardness. Inside the cushioning pad, there is an array of holes that precisely correspond to the position and size of each intelligent telescopic rod unit in the intelligent telescopic rod array 102. This provides a physical-interference-free movement channel for the intelligent telescopic rods, allowing the tip of the telescopic rod to pass through the cushioning pad and directly contact the human body, thereby ensuring the accuracy and directness of pressure and displacement signal transmission.

[0052] Optionally, the inner walls of the holes in the aforementioned buffer pad can be covered with a flexible sealing material. Its function is to ensure the free movement of the telescopic rod while minimizing the impact of the openings on the softness, hardness, and comfort of the buffer pad itself, and to prevent the measuring device from excessively altering the properties of the measured object.

[0053] The main control unit 104 is connected to the intelligent telescopic pole array 102 and is used to receive the collected data. Based on the data collected by the intelligent telescopic pole array 102, it calculates the three-dimensional shape of the human body, the shape of the spine, and the body pressure distribution. Specifically, the main control unit 104 establishes the three-dimensional shape contour of the human body, locates the position of the spine, and generates the spinal shape curve based on the displacement sensor data. At the same time, it analyzes the pressure sensor data and extracts body pressure distribution indicators such as maximum pressure, average pressure, and contact area.

[0054] This embodiment integrates multiple sensors into a unified bed body, and the main control unit 104 realizes automatic data acquisition and preliminary processing, which effectively solves the problems of low efficiency, large error and difficulty in quickly acquiring multimodal data in traditional manual measurement methods, and provides a reliable and efficient data foundation for the objective evaluation of the comfort of the cushioning pad.

[0055] In one embodiment, the aforementioned intelligent telescopic rod array and buffer pad adopt an integrated design, which integrates pressure sensing and displacement measurement functions into the same actuator to achieve coordinated and accurate measurement of human body shape and pressure.

[0056] Specifically, the intelligent telescopic pole array consists of multiple uniformly distributed intelligent telescopic poles 1020. Figure 2 and Figure 3 The images show top and side views of a data acquisition module comprising an intelligent telescopic pole array. These telescopic poles are evenly distributed at the bottom of the support frame, forming an array. Figure 4 As shown, each telescopic rod contains a pressure sensor 1021, a motor 1022, and a displacement sensor 1023. The telescopic rod can change its telescopic length actively or passively.

[0057] The pressure sensor 1021 is installed on the top contact surface of the telescopic rod to monitor the pressure distribution of the human body on the cushioning pad in real time. When a person lies on the cushioning pad, the sensor detects the pressure value applied to the corresponding body part in real time and converts the pressure data into an electrical signal, which is then transmitted to the main control unit 104 for subsequent body pressure distribution analysis.

[0058] A displacement sensor 1023 is integrated inside the telescopic rod to accurately collect displacement data caused by changes in the rod's length. For example, a Hall effect sensor can be used to calculate linear displacement by detecting the number of rotations of the motor 1022, or a grating encoder can be used to directly measure the displacement. The displacement data is transmitted to the main control unit 104 in real time. Based on the changes in the telescopic rod's extension length, the system can calculate the three-dimensional morphological changes of the human body on the cushioning pad. For instance, when a person rolls over or changes posture, the extension length of the telescopic rod changes, and the displacement sensor 1023 can capture these changes in real time and transmit the data to the system for analysis.

[0059] It is understandable that traditional airbag-type or large-area thin-film pressure distribution measurement systems can only acquire two-dimensional pressure distribution data, and are susceptible to material creep, temperature drift, and interference from point-to-point coupling. In contrast, the intelligent telescopic rods used in this embodiment are each independent measurement units. They can acquire the pressure value at a point via a pressure sensor at the top, and accurately measure the vertical displacement at that point via an internal displacement sensor, thereby directly and synchronously acquiring the information needed to construct the three-dimensional shape.

[0060] In one embodiment, the aforementioned main control unit drives the intelligent telescopic pole array to complete automated measurements through coordinated control. For example... Figure 5 As shown, its specific execution process includes the following steps:

[0061] S201 receives the first pressure data collected by the pressure sensor when the human body comes into contact with the cushioning pad.

[0062] When a user lies on the cushioning pad, their body comes into contact with the tips of some of the smart telescopic rods, generating pressure. The main control unit receives initial readings from all pressure sensors in the smart sensor array in real time; these initial readings constitute the first pressure data. This data reflects the initial pressure distribution of different parts of the body on the cushioning pad. The pressure data from the telescopic rods that are not in contact with the cushioning pad is close to zero.

[0063] S202, based on the first pressure data, controls the telescopic rod to change its length and locks it after the human body is lying down and stable.

[0064] The initial pressure data serves as the condition for determining when the telescopic rod stops moving. Based on the initial pressure data obtained in S201, the main control unit executes an instruction to actively control the change in the telescopic rod length. Specifically, the main control unit uniformly sets the condition for stopping the telescopic rod displacement using an initial threshold based on the changes in pressure sensor data. The system continuously monitors the data changes of all pressure sensors. When it determines that the data fluctuations have stabilized, i.e., that the human lying posture has stabilized, the main control unit sends an instruction to lock the length of all telescopic rods, ensuring that the measurement benchmark remains fixed during subsequent data acquisition.

[0065] In another exemplary embodiment, the main control unit first identifies telescopic rods with pressure values ​​below a preset activation threshold. This area typically corresponds to parts that are not in full contact with the human body, such as the physiological curvature of the waist. Then, the main control unit controls the telescopic rods with pressure values ​​below the preset threshold to extend, actively filling the gap between the human body and the cushioning pad, allowing the sensor array to fully capture the entire contour of the human body. Simultaneously, it maintains or fine-tunes the telescopic rods already in contact with the human body, thereby adapting the top contour of the entire telescopic rod array to conform to and fit the natural curve of the human body.

[0066] S203 calculates the three-dimensional morphology and spinal morphology based on displacement data collected by the locked displacement sensor.

[0067] After the telescopic rod array is locked, the main control unit synchronously reads the displacement values ​​recorded by all displacement sensors. Since the telescopic rod array is regularly distributed in space, the displacement of each rod represents the vertical deformation of the cushioning surface at that point. Based on this displacement data matrix, the main control unit can construct a three-dimensional morphological model of the human back using three-dimensional reconstruction algorithms (such as surface fitting and point cloud generation). Furthermore, by analyzing the morphological characteristics of the axial region in this three-dimensional model (e.g., identifying the path with the least difference in left-right symmetry, or finding the ridge line of the displacement data), the system can automatically locate and fit the spinal morphological curve. Through this step, the problem of internal spinal morphology, which is difficult to measure directly, is transformed into a computational analysis problem of measurable surface contour data, thereby achieving an accurate assessment of spinal morphology.

[0068] S204, calculates body pressure distribution based on the second pressure data collected by the locked pressure sensor.

[0069] The calculation process in this step can be executed synchronously with the calculation process in step S203, or it can be executed after step S203; this embodiment does not impose any restrictions on this. However, it should be noted that the reading time of the second pressure data should be consistent with the reading time of the displacement data in step S203. While the main control unit reads the displacement data, it also simultaneously collects the stable readings uploaded by each pressure sensor at this time, i.e., the second pressure data. Specifically, the main control unit synchronously reads the stable second pressure data collected by the pressure sensors after locking. Combined with the known sensor array coordinates, quantitative indicators such as maximum pressure, average pressure, pressure gradient, and contact area can be calculated.

[0070] In this embodiment, the main control unit determines the contact state based on the initial pressure data, controls the motor to perform adaptive extension and retraction adjustments, locks the mechanism after stabilization, and simultaneously reads the displacement and final pressure values ​​at this moment. It can be understood that the intelligent telescopic rod array is not a simple superposition of sensors and motion mechanisms, but rather a closed-loop control implemented through the main control unit. This embodiment achieves intelligent and high-precision multimodal data acquisition through an automated process. This method requires no manual intervention, avoids errors from manual measurement, and significantly improves the synchronization and reliability of three-dimensional morphology, spinal morphology, and body pressure distribution data.

[0071] In an exemplary embodiment, when calculating the three-dimensional shape, the main control unit converts the one-dimensional displacement lattice data into a three-dimensional model. The specific process includes the following steps:

[0072] First, based on the displacement data, body parts of the human body are identified, including the head, shoulders, waist, hips, and legs.

[0073] The main control unit receives a displacement data matrix from the intelligent telescopic rod array. This matrix is ​​essentially the distance from the curved surface of the human back to the bed base along the vertical direction, formed by regular grid points. Specifically, the system first preprocesses the data, using common methods such as smoothing and noise reduction. Then, based on ergonomic principles, it deconstructs and locates various major body parts by identifying key geometric features exhibited in the spatial distribution of the displacement data. Optionally, the identification process can be implemented as follows:

[0074] Identify the shoulder and hip. The system searches for two consecutive regions in the displacement data matrix that have the maximum width in the horizontal direction. These two regions correspond to the shoulder and hip, which are the widest parts of the support surface, respectively.

[0075] Identify the waist. Between the identified shoulder and hip areas, the system locates the narrowest continuous area in the horizontal direction, which is the waist.

[0076] The system identifies the head and legs. Along the long axis of the human body, it locates a roughly circular, independent raised area above the shoulder region as the head; and below the hip region, it locates two gradually narrowing, independent extended areas as the legs.

[0077] It is understood that the above-mentioned recognition algorithms for major body parts can be selected according to specific scenarios and needs. For example, they can be implemented using one or more methods such as contour curvature analysis, cluster analysis, template matching, or trained neural network models. Those skilled in the art can select appropriate algorithms to implement the above recognition functions according to the needs of actual applications.

[0078] Next, based on the identified body contours, a 3D human model is constructed. Using identified key areas as control nodes, a continuous curved surface model of the human back is generated through a surface reconstruction algorithm. Specifically, the 3D model construction process includes:

[0079] The system extracts basic contour features from the three-dimensional morphological data of the human body. For each identified body part, the system extracts its boundary contour and calculates key dimensional parameters, such as shoulder width (the horizontal distance between the left and right acromion points), waist width (the horizontal distance at the narrowest point of the waist), and hip width (the horizontal distance at the widest point of the hips).

[0080] Based on the identified contours and key parameters, the main control unit uses algorithms such as surface fitting, triangulation, or other 3D reconstruction to reconstruct the overall displacement data matrix. This ultimately generates a digital model that accurately reflects the 3D geometry of the subject's back.

[0081] Optionally, body shape characteristics can also be calculated based on the shoulder-waist-hip ratio (shoulder width / waist width, hip width / waist width). These body shape characteristics categorize human body types into the following types:

[0082] Apple-shaped: Shoulder width / waist width ≥ 1.4 and hip width / waist width ≤ 1.3;

[0083] Banana shape: Shoulder width / waist width ≤ 1.4 and hip width / waist width ≤ 1.3;

[0084] Hourglass shape: Shoulder width / waist width ≥ 1.4 and hip width / waist width ≥ 1.3;

[0085] Pear-shaped: Shoulder width / waist width < 1.4 and hip width / waist width ≥ 1.3.

[0086] In this embodiment, by associating discrete displacement values ​​with human body structure, a three-dimensional model is generated, and the three-dimensional morphological features of the human body are obtained through the three-dimensional model. This provides a deeper level of data understanding and analysis capabilities, and provides more reliable data support for subsequent comfort assessment, body type classification, or personalized product design.

[0087] In some embodiments, such as Figure 6 As shown, the main control unit converts the displacement data measured by the intelligent telescopic rod into spinal morphology data. The specific process includes the following steps S301 to S303:

[0088] S301 locates the spinal morphology by analyzing the differences between the left and right sides and the middle data in the displacement data.

[0089] The system calculates the displacement differences of symmetrical points on both sides of a pre-constructed 3D human body model along the long axis at multiple cross-sections. For example, it can calculate the difference or ratio of displacement values ​​at corresponding points. It can be understood that the central path of the spine will appear as a continuous region where the difference in data between its left and right sides is minimal, or where the displacement value itself is maximum. Therefore, by identifying and connecting these feature points, the system can automatically and accurately locate the projection path of the spine on the bed surface, i.e., the position of the spinal morphology.

[0090] S302, obtains the spinal morphology curve based on displacement data.

[0091] Furthermore, after locating the spine, the main control unit constructs its specific three-dimensional shape. By treating the spine as a continuously varying curve in three-dimensional space, its shape is accurately reconstructed through data interpolation and fitting.

[0092] For example, in a specific embodiment, the system extracts the three-dimensional coordinates (X, Y, Z) of all points located on the spinal path in step S301, where the Z-axis coordinate is the displacement data of that point. Subsequently, the main control unit uses at least one of various curve fitting algorithms, such as spline interpolation and polynomial fitting, to smooth these discrete three-dimensional coordinate points, generating a continuous and smooth spinal morphology curve. The projection of this curve onto the sagittal plane intuitively reflects the morphology of the four physiological curves of the neck, chest, lumbar region, and sacrum when the human body is supine.

[0093] S303, Based on the spinal morphology curve, calculate the difference in lumbar-back gap and the difference in hip-back tilt angle.

[0094] After obtaining the quantified spinal morphology curve, the main control unit further calculates indicators for objectively evaluating the support performance of the cushioning pad. Specifically, the calculation process includes:

[0095] Calculate the lumbar-back gap difference. The system locates the point of maximum curvature (i.e., the most concave point in the lumbar region) in the spinal morphology curve and calculates the distance between this point in the vertical direction and the horizontal reference plane. This distance is the lumbar-back gap difference, and its value reflects the degree of support provided by the cushioning pad to the critical area of ​​the lumbar region; a gap that is too large or too small may indicate insufficient support.

[0096] Calculate the hip-back tilt difference. The system locates the highest point of the hip and a representative reference point in the chest and back on the spinal morphology curve, and calculates the angle between the line connecting these two points and the horizontal reference plane. This angle is the hip-back tilt difference, which reflects the cushioning pad's ability to maintain pelvic posture and is a key parameter for assessing whether the spine maintains its natural physiological curvature.

[0097] This embodiment acquires displacement data from an intelligent telescopic rod to calculate spinal morphology. Through data analysis, the results are quantified into indicators with engineering and clinical significance, thereby improving the objectivity and accuracy of spinal measurements.

[0098] In one exemplary embodiment, the main control unit calculates body pressure distribution indicators based on the second pressure data acquired after locking, transforming discrete pressure sensor readings into a series of quantitative indicators through systematic statistical and spatial analysis. Specifically, the system can calculate one or more body pressure indicators from the following based on the second pressure data: maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, and contact area.

[0099] The maximum pressure is the highest value among all pressure sensors, reflecting the peak load point on the contact surface between the human body and the cushioning pad. The average pressure refers to the arithmetic mean of the pressures recorded across all contact areas.

[0100] The pressure gradient is calculated by the system based on the spatial coordinates of all pressure sensors, determining the rate of pressure change between adjacent sensors. The maximum pressure gradient is the highest value among the pressure gradients, and the average pressure gradient is the lowest value. This data can assess the uniformity and severity of pressure distribution, thus facilitating the identification of localized discomfort in the human body.

[0101] The contact area is the effective contact range between the human body and the cushioning pad, which can be used to assess the fit and support of the cushioning pad. Specifically, the system counts the number of sensors whose pressure values ​​exceed a preset contact threshold (e.g., greater than 5 mmHg), and multiplies this number by the effective sensing area of ​​a single sensor to obtain the total contact area.

[0102] In the above embodiments, the body pressure distribution of the human body on the cushioning pad was calculated from three perspectives: strength, uniformity, and contact range, using pressure indicators, thereby providing an objective evaluation benchmark for the support and fit of products such as cushioning pads.

[0103] In some exemplary embodiments, each telescopic pole can be equipped with a microcontroller connected to the main control unit 104 and communicate with it via a wireless communication module (such as Bluetooth, Wi-Fi, etc.), so that the main control unit 104 can intelligently control the telescopic pole according to a preset algorithm and program.

[0104] The microcontroller executes commands issued by the main control unit and performs localized data acquisition on the smart telescopic pole it is located on. Optionally, the microcontroller can also perform preliminary signal processing, distributing computational tasks using a distributed intelligent control architecture. Optionally, the system can be constructed as a star network topology, with the main control unit acting as a central node, communicating directly with each smart telescopic pole to ensure real-time control and accurate data synchronization.

[0105] By incorporating a microcontroller and a wireless communication module, this embodiment solves the technical problems of complex system wiring, poor maintainability, and difficulty in flexibly expanding telescopic pole arrays that exist in traditional wired connection schemes.

[0106] In some other embodiments, the support frame includes height-adjustable feet, adjusting nuts, and anti-slip rubber pads. The adjustable feet and adjusting nuts are located at the four corners of the support frame, allowing for precise height adjustment through threaded engagement with the adjusting nuts. The anti-slip rubber pads are located at the bottom of the feet, increasing friction between the support frame and the ground, ensuring the stability of the measurement system. This embodiment solves two technical problems that directly affect data accuracy and repeatability: uneven ground in the measurement environment leading to an inclination of the initial reference surface, and minute system displacements that may occur during measurement.

[0107] Based on the same inventive concept, this application also provides a human body measurement method for implementing the aforementioned multifunctional human body measurement system. The solution provided by this method is similar to the implementation scheme described in the main control unit configuration method of the aforementioned system. Therefore, the specific limitations in one or more method embodiments provided below can be found in the above-described limitations based on the multifunctional human body measurement system, and will not be repeated here.

[0108] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0109] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0110] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A multi-functional human body data measuring system characterized by, The application relates to a support frame, an array of intelligent telescopic rods arranged on the support frame and composed of a plurality of uniformly distributed intelligent telescopic rods, a buffer pad laid on the support frame and provided with holes matching the positions and sizes of the array of intelligent telescopic rods, and a main control unit for receiving displacement data and pressure data collected by the array of intelligent telescopic rods and calculating a three-dimensional shape, a spine shape and a body pressure distribution of a human body. The intelligent telescopic rod comprises a telescopic rod for changing length according to control instructions sent by the main control unit to adapt to the contour of the human body after lying down, a motor for driving the telescopic rod to extend and retract, a pressure sensor for detecting pressure applied by the human body and transmitting the pressure data to the main control unit, and a displacement sensor for collecting displacement data generated by the telescopic rod due to length change and transmitting the displacement data to the main control unit. The main control unit is configured to perform the following operations: receiving first pressure data collected by the pressure sensor when the human body contacts the buffer pad; controlling the telescopic rod to change length according to the first pressure data and locking after the human body lies down stably; calculating the three-dimensional shape and the spine shape based on displacement data collected by the displacement sensor after locking; and calculating the body pressure distribution based on second pressure data collected by the pressure sensor after locking. The main control unit is configured to perform the following operations when calculating the three-dimensional shape: identifying body parts of the human body according to the displacement data, wherein the body parts include a head, shoulders, a waist, a hip and legs; and constructing a three-dimensional model of the human body based on the contours of the identified body parts. The main control unit is configured to perform the following operations when calculating the spine shape: locating a spine shape position by analyzing differences between left and right side data and middle data in the displacement data; obtaining a spine shape curve according to the displacement data; and calculating a waist-back gap difference and a hip-back inclination angle difference based on the spine shape curve.

2. The system of claim 1, wherein, The main control unit is configured to perform the following operations when calculating the body pressure distribution: calculating one or more body pressure indexes including maximum pressure, average pressure, maximum pressure gradient, average pressure gradient and contact area based on the second pressure data. Each intelligent telescopic rod further comprises a microcontroller connected to the main control unit through a wireless communication module, and the wireless communication module comprises Bluetooth or Wi-Fi. The support frame comprises height-adjustable legs arranged at four corners of the support frame, adjusting nuts connected to the legs for manually rotating to adjust the levelness of the support frame, and anti-skid rubber pads arranged at the bottoms of the legs. The holes in the buffer pad are wrapped with flexible materials to reduce the influence of punching on the hardness of the buffer pad. The displacement sensor is a Hall sensor for converting linear displacement of the telescopic rod by detecting the rotating stroke of the motor.

3. The system of claim 2, wherein, ​ ​ ​ ​ ​ 4. The system of claim 3, wherein, ​ ​ ​ 5. The system of claim 3, wherein, ​ ​ ​ ​ 6. The system of claim 3, wherein, ​ ​ 7. The system of claim 2, wherein, ​ 8. The system of claim 1, wherein, ​ ​ ​ ​ 9. The system of claim 1, wherein, ​ 10. The system of claim 2, wherein, ​

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