Intelligent wedge-shaped cushion curvature dynamic regulation system based on user spine physiological data
By deploying a flexible thin-film pressure sensor array and a biomechanical model on the seat cushion, the tilt angle of the wedge-shaped seat cushion can be adjusted in real time, solving the problem that traditional seat cushions cannot adapt to individual differences and posture changes, and realizing personalized spinal support optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 江南
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional seat cushions cannot adapt to individual differences and posture changes among different users, and cannot achieve real-time physiological parameter calculation and dynamic adjustment, resulting in uneven lumbar spine load and muscle fatigue.
A flexible thin-film pressure sensor array is used to collect pressure distribution data in real time. Combined with a biomechanical model, the spinal tension is calculated. The tilt angle of the wedge-shaped seat is adjusted through dynamic feedback control to form a closed-loop feedback control and achieve personalized support.
It enables real-time response and active adjustment of the seat cushion's support posture to the user's spinal condition, avoiding the shortcomings of traditional passive support and providing personalized comfort optimization.
Smart Images
Figure CN122398065A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent wedge-shaped seat cushion curvature adjustment technology, specifically to an intelligent wedge-shaped seat cushion curvature dynamic adjustment system based on user spinal physiological data. Background Technology
[0002] Prolonged sitting has become a common behavior pattern in modern life. However, maintaining a fixed sitting posture for extended periods can easily lead to uneven pressure distribution on the lumbar intervertebral discs, fatigue of the muscles surrounding the spine, and degenerative changes in the lumbar spine. Traditional seat cushions often employ a static wedge structure, using a fixed tilt angle to help maintain anterior pelvic tilt and reduce lumbar load. However, this type of passive support solution has significant shortcomings: First, there are significant individual differences in the physiological curvature of the spine, weight distribution, and sitting habits among different users, making it difficult for a fixed angle to suit all individuals. Second, users unconsciously change their posture during prolonged sitting, and static support cannot respond to these changes in real time, potentially even exacerbating localized pressure concentration due to improper support. Furthermore, while some existing technologies incorporate pressure sensors to collect sitting posture data, most only focus on data monitoring or alarm functions, failing to achieve closed-loop linkage with the active adjustment mechanism of the seat cushion and lacking the ability to calculate and dynamically adjust physiological parameters based on biomechanical models. Therefore, how to dynamically adjust the seat cushion support curvature according to the user's real-time spinal physiological state to achieve personalized adaptive sitting posture support has become a pressing technical problem to be solved in this field. Summary of the Invention
[0003] The purpose of this invention is to provide an intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data, so as to solve the problems mentioned in the background art.
[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a smart wedge-shaped seat cushion curvature dynamic adjustment system based on user spinal physiological data, comprising: a wedge-shaped seat cushion body in contact with the seat, an angle adjustment mechanism for adjusting the tilt angle of the wedge-shaped seat cushion body relative to the horizontal plane, wherein the contact surface between the wedge-shaped seat cushion body and the human body is provided with a flexible thin film pressure sensor array for real-time collection of pressure distribution data of the user's buttocks and legs; The system includes: The physiological data estimation module is connected to the flexible thin-film pressure sensor array, receives the collected pressure distribution data, and estimates the user's spinal tension physiological parameters in real time based on a preset biomechanical model. The spinal tension physiological parameters include at least the lumbar spine stress load. The dynamic feedback control module is connected to the physiological data calculation module and the angle adjustment mechanism respectively. Based on the comparison between the real-time calculated physiological parameters of the user's spinal tension and the preset comfort threshold range, it dynamically generates control commands to control the angle adjustment mechanism to adjust the tilt angle, forming a closed-loop feedback control until the acquired physiological parameters of spinal tension return to the preset comfort threshold range.
[0005] This invention utilizes a flexible thin-film pressure sensor array deployed on a wedge-shaped seat cushion to collect real-time pressure distribution data on the user's buttocks and legs. Combined with a pre-set biomechanical load model, this accurately calculates physiological parameters of spinal tension, including the stress load on the lumbar spine. This allows the subsequent dynamic feedback control module to generate real-time adjustment commands based on the deviation of these parameters from a preset comfort threshold range, driving the angle adjustment mechanism to form a closed-loop feedback control until the physiological parameters return to the comfort range. This mechanism enables real-time response and active adjustment of the seat cushion's support posture to the user's spinal state, avoiding the problem of traditional passive support failing to adapt to posture changes.
[0006] Furthermore, the pre-set biomechanical model in the physiological data extrapolation module includes: The ischial tuberosity position and pressure center are identified based on the pressure distribution data; the ischial tuberosity position is the pressure peak point position obtained by performing local peak detection on the pressure distribution data, and the number of ischial tuberosity positions obtained is two. The current pelvic tilt angle is calculated based on the pressure center offset; the pressure center offset is equal to the distance between the pressure center and the pelvic reference center point mapped in the front-back direction of the seat, and the pelvic reference center point is the midpoint of the line connecting the two obtained ischial tuberosities; the current pelvic tilt angle is the result of substituting the obtained pressure center offset as an independent variable into a preset univariate linear regression model, and the coefficients in the preset univariate linear regression model are preset calibration coefficients obtained by fitting experimental data. Based on the motion coupling relationship between the pelvis and the lumbar spine, a mapping relationship between the pelvic tilt angle and the change in the lumbar lordosis angle is established. Based on the change in lumbar lordosis angle, combined with a preset biomechanical load model, which is a simplified mechanical model constructed based on user weight, lumbar lordosis angle, intervertebral disc cross-sectional area, muscle stiffness coefficient and muscle lever arm, the stress load value of the intervertebral disc in a specific segment is calculated as a physiological parameter of spinal tension.
[0007] The biomechanical load model pre-set in the physiological data estimation module of this invention identifies the position of the ischial tuberosity and the center of gravity of pressure through pressure distribution data, estimates the pelvic tilt angle, and maps the change in lumbar lordosis angle based on the motion coupling relationship between the pelvis and the lumbar spine. Finally, it calculates the force load value of the intervertebral disc in a specific segment by combining the biomechanical load model. This model can realize the quantitative and real-time estimation of the user's spinal load, providing an accurate physiological basis for dynamic regulation.
[0008] Furthermore, the preset comfort threshold range includes multiple preset modes for different application scenarios, including office sitting mode, vehicle driving mode and leisure mode. Different preset modes correspond to different preset comfort threshold ranges. The preset comfort threshold range of the preset mode is pre-calibrated through ergonomic experiments and can be corrected based on user-personalized data.
[0009] Furthermore, the dynamic feedback control unit includes a target tilt angle acquisition unit and an adjustment control signal generation unit; The target tilt angle acquisition unit is used to calculate the deviation between the user's spinal tension physiological parameters acquired at the current time and the comfort threshold range, and to calculate the target tilt angle required for the wedge-shaped seat cushion body based on the obtained deviation. The adjustment control signal generation unit is used to generate a corresponding adjustment control signal based on the target tilt angle obtained by the target tilt angle acquisition unit, and drive the angle adjustment mechanism to perform adjustment actions.
[0010] Furthermore, when the user's sitting posture is stable, the target tilt angle acquisition unit adjusts the tilt angle of the wedge-shaped cushion body relative to the horizontal plane with a preset step length and preset frequency. By comprehensively analyzing the multi-dimensional pressure analysis characteristics composed of intervertebral disc pressure load, pressure load change rate, and pressure distribution uniformity, it automatically optimizes to obtain the corresponding user's personalized optimal angle and updates the preset comfort threshold range corresponding to the current preset mode. The condition for determining the stable state of the user's sitting posture is that the length of the continuous time interval formed by the time points when the deviation between the corresponding user's spinal tension physiological parameters and the preset comfort threshold range is less than a preset value is greater than a preset duration.
[0011] This invention takes into account the analysis and adjustment of the user's stable sitting posture. By automatically scanning the tilt angle with a preset step length and frequency, and taking into account multiple dimensions such as intervertebral disc pressure, pressure change rate, and pressure distribution uniformity, it automatically finds the personalized optimal angle and updates the comfort threshold range of the current mode. This mechanism can be continuously optimized as the user uses it, achieving truly personalized support.
[0012] Furthermore, it also includes a user identification module, which is used to extract features from the collected pressure distribution data and match the feature extraction results with a preset template in the database to achieve user identification. The feature extraction results of the pressure distribution data include the principal component coefficients of the pressure distribution, body weight, and ischial tuberosity distance. The user identification module is also used to store personalized data of different users, and after identifying the current user, it calls the user's personalized data to adaptively correct the preset comfort threshold range; the personalized data includes personalized physiological parameter benchmarks, historical sitting posture data and corresponding preferred angles.
[0013] Compared with the prior art, the beneficial effects achieved by the present invention are: (1) This invention uses a flexible thin-film pressure sensor array on the wedge-shaped seat cushion to collect pressure distribution data of the user's buttocks and legs in real time. Combined with a preset biomechanical load model, it can accurately calculate the physiological parameters of spinal tension, including the force load on the lumbar spine. This facilitates the subsequent dynamic feedback control module to generate adjustment commands in real time to drive the angle adjustment mechanism based on the deviation of the parameters from the preset comfort threshold range, forming a closed-loop feedback control until the physiological parameters return to the comfort range. This mechanism realizes the real-time response and active adjustment of the seat cushion support posture to the user's spinal state, avoiding the problem that traditional passive support cannot adapt to posture changes. (2) Based on a pre-set biomechanical load model, this invention identifies the position of the ischial tuberosity and the center of gravity of pressure through pressure distribution data, calculates the pelvic tilt angle, and maps the change in the lumbar lordosis angle based on the motion coupling relationship between the pelvis and the lumbar spine. Finally, it combines the biomechanical load model to calculate the force load value of the intervertebral disc in a specific segment, providing an accurate physiological basis for dynamic regulation. (3) When the user's sitting posture is stable, the present invention automatically scans the tilt angle with a preset step length and frequency, and integrates multiple dimensions such as intervertebral disc pressure, pressure change rate, and pressure distribution uniformity to automatically find the personalized optimal angle and update the comfort threshold range in the current mode; this mechanism can be continuously optimized as the user uses it to achieve truly personalized support. Attached Figure Description
[0014] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data, which is a structural diagram of the present invention. Detailed Implementation
[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] Please see Figure 1 This embodiment provides an intelligent wedge-shaped seat cushion curvature dynamic adjustment system based on user spinal physiological data, including: a wedge-shaped seat cushion body in contact with the seat, and an angle adjustment mechanism for adjusting the tilt angle of the wedge-shaped seat cushion body relative to the horizontal plane. The contact surface between the wedge-shaped seat cushion body and the human body is equipped with a flexible thin-film pressure sensor array for real-time collection of pressure distribution data of the user's buttocks and legs. The pressure distribution data includes pressure data collected by pressure sensors at each location in the flexible thin-film pressure sensor array at corresponding time points. In this embodiment, a Cartesian coordinate system (including origin O, X-axis and Y-axis, where the X-axis represents the front-to-back direction of the seat, specifically the positive direction from the buttocks to the knees; the Y-axis represents the left-to-right direction of the seat, specifically the positive direction from the left hip to the right hip) is constructed based on the preset orientation of the flexible thin-film pressure sensor array. The positions of each sensor in the flexible thin-film pressure sensor array are quantified using coordinate points in the Cartesian coordinate system. The system includes: The physiological data estimation module is connected to the flexible thin-film pressure sensor array, receives the collected pressure distribution data, and estimates the user's spinal tension physiological parameters in real time based on a preset biomechanical model. The spinal tension physiological parameters include at least the lumbar spine stress load. The pre-set biomechanical models in the physiological data extrapolation module include: The ischial tuberosity position and pressure center are identified based on the pressure distribution data; the ischial tuberosity position is the pressure peak point position obtained by performing local peak detection on the pressure distribution data, and the number of ischial tuberosity positions obtained is two; in this example, the pressure peak point position corresponding to the first ischial tuberosity position obtained at the current time is recorded as (Xs1, Ys1), and the pressure peak point position corresponding to the second ischial tuberosity position obtained at the current time is recorded as (Xs2, Ys2). The current pelvic tilt angle is calculated based on the pressure center offset; the pressure center offset is equal to the distance between the pressure center and the pelvic reference center point mapped in the front-back direction of the seat, and the pelvic reference center point is the midpoint of the line connecting the two obtained ischial tuberosities; the current pelvic tilt angle is the result of substituting the obtained pressure center offset as an independent variable into a preset univariate linear regression model, and the coefficients in the preset univariate linear regression model are preset calibration coefficients obtained by fitting experimental data. In this example, the coordinates of the pelvic reference center point corresponding to the current time in the Cartesian coordinate system are denoted as (Xc, Yc); where Xc = (Xs1 + Xs2) / 2; Yc = (Ys1 + Ys2) / 2; Let the coordinates of the centroid of the pressure distribution data acquired at the current time point be (Xg, Yg). in, This represents the pressure sensor monitoring value corresponding to the pressure distribution data acquired by the i-th pressure sensor in the flexible thin-film pressure sensor array at the current time point; This represents the X-axis coordinate value of the i-th pressure sensor in the flexible thin-film pressure sensor array, located at the corresponding coordinate point in the Cartesian coordinate system. This represents the Y-axis coordinate value of the i-th pressure sensor in the flexible thin-film pressure sensor array, located at the corresponding coordinate point in the Cartesian coordinate system. Since the X-axis in the constructed Cartesian coordinate system represents the front-to-back direction of the seat, specifically the positive direction from the buttocks to the knees, the positions of the pressure center and the pelvic reference center point in the front-to-back direction of the seat are the corresponding coordinate points' X-axis coordinate values. The pressure center offset at the current time point is then recorded as ΔX, where ΔX = Xg - Xc. The current pelvic tilt angle is equal to the result of substituting the pressure center shift at the corresponding time point as the independent variable into a preset univariate linear regression model. In this embodiment, the preset univariate linear regression model is... Used to characterize the current pelvic tilt angle The mapping relationship between the pressure center of gravity offset ΔX at the current time point and the current time point. and These are different preset calibration coefficients obtained by fitting experimental data; Based on the motion coupling relationship between the pelvis and the lumbar spine, a mapping relationship is established between the pelvic tilt angle and the change in lumbar lordosis angle. In this embodiment, the mapping relationship between the current pelvic tilt angle and the change in lumbar lordosis angle at the current time is as follows: in, This indicates the change in the lumbar lordosis angle relative to the baseline value at the current time. and These are different preset coupling coefficients obtained by fitting experimental data; Based on the change in lumbar lordosis angle, combined with a preset biomechanical load model, which is a simplified mechanical model constructed based on user weight, lumbar lordosis angle, intervertebral disc cross-sectional area, muscle stiffness coefficient and muscle lever arm, the stress load value of the intervertebral disc in a specific segment is calculated as a physiological parameter of spinal tension.
[0017] In this embodiment, the stress load values of the intervertebral discs in the fourth and fifth segments are calculated based on the change in lumbar lordosis angle and a preset biomechanical load model, serving as physiological parameters of spinal tension. The calculation formulas involved are as follows: in, This represents the physiological parameter of spinal tension corresponding to the current time. W represents the user's weight, and its value is the sum of the pressure sensor readings corresponding to each element in the pressure distribution data acquired at the current time point. Represents the cosine function; Indicates the current pelvic tilt angle; This indicates the preset muscle stiffness coefficient; This represents the preset muscle lever arm; A represents the intervertebral disc cross-sectional area, and the value of A is obtained by querying the average value of the corresponding intervertebral disc cross-sectional area in each statistical data item corresponding to the user's height and weight in the preset user data statistics form of the database. Each statistical data item in the preset user data statistics form of the database corresponds to a user's height value, a user's weight value, and a user's intervertebral disc cross-sectional area value.
[0018] The preset comfort threshold range includes multiple preset modes for different application scenarios, including office sitting mode, vehicle driving mode and leisure mode. Different preset modes correspond to different preset comfort threshold ranges. The preset comfort threshold range of the preset mode is pre-calibrated through ergonomic experiments and can be corrected based on user personalized data.
[0019] The dynamic feedback control module is connected to the physiological data calculation module and the angle adjustment mechanism respectively. Based on the comparison between the real-time calculated physiological parameters of the user's spinal tension and the preset comfort threshold range, it dynamically generates control commands to control the angle adjustment mechanism to adjust the tilt angle, forming a closed-loop feedback control until the acquired physiological parameters of spinal tension return to the preset comfort threshold range.
[0020] The dynamic feedback control unit includes a target tilt angle acquisition unit and an adjustment control signal generation unit; The target tilt angle acquisition unit is used to calculate the deviation between the user's spinal tension physiological parameters acquired at the current time and the comfort threshold range, and to calculate the target tilt angle required for the wedge-shaped seat cushion body based on the obtained deviation. Specifically, obtain the user's spinal tension physiological parameters acquired at the current time. ; Obtain the preset comfort threshold range in the preset mode corresponding to the user's application scenario at the current time, denoted as [FSmin, FSmax]. FSmin represents the minimum value in the preset comfort threshold range in the preset mode corresponding to the user's application scenario at the current time, and FSmax represents the maximum value in the preset comfort threshold range in the preset mode corresponding to the user's application scenario at the current time; The values in the preset comfort threshold range are all intervertebral disc stress load values. The deviation between the user's spinal tension physiological parameters acquired at the current time and the comfort threshold range is denoted as ed. When calculating the target tilt angle required for the wedge-shaped seat cushion body based on the obtained deviation, this example uses a proportional-integral-derivative (PID) control algorithm for calculation. The specific calculation formula is as follows: in, This indicates a preset scaling factor; Indicates the integral coefficient; Represents the differential coefficient; This indicates the subsequent duration based on the control start time. The deviation between the user's spinal tension physiological parameters obtained at a given time point and the comfort threshold range; td represents the current time; This represents the cumulative deviation (the deviation between the user's spinal tension physiological parameters and the comfort threshold range) from the start of control to the current time td. The derivative of the deviation ed of the user's spinal tension physiological parameter from the comfort threshold range, obtained at the current time to characterize the rate of change of deviation, with respect to time. The adjustment control signal generation unit is used to generate a corresponding adjustment control signal based on the target tilt angle obtained by the target tilt angle acquisition unit, and drive the angle adjustment mechanism to perform adjustment actions.
[0021] In this embodiment, during the process of generating the corresponding adjustment control signal from the target tilt angle, the actual tilt angle of the current wedge-shaped cushion body relative to the horizontal plane is obtained, and the angle adjustment mechanism is driven to perform the adjustment action so that the actual tilt angle of the current wedge-shaped cushion body relative to the horizontal plane approaches the target tilt angle.
[0022] When the user's sitting posture is stable, the target tilt angle acquisition unit adjusts the tilt angle of the wedge-shaped cushion body relative to the horizontal plane with a preset step length and preset frequency. By comprehensively analyzing the multi-dimensional pressure analysis characteristics composed of intervertebral disc pressure load, pressure load change rate, and pressure distribution uniformity, it automatically optimizes to obtain the corresponding user's personalized optimal angle and updates the preset comfort threshold range corresponding to the current preset mode. The condition for determining the user's stable sitting posture is that the length of the continuous time interval formed by the time points when the deviation between the corresponding user's spinal tension physiological parameters and the preset comfort threshold range is less than a preset value is greater than a preset duration.
[0023] The specific steps for automatically finding the personalized optimal angle for the corresponding user in this example are as follows: The tilt angle of the wedge-shaped seat cushion relative to the horizontal plane is adjusted by a preset step size and preset frequency. Q pressure distribution data frames are collected at each tilt angle, and the multi-dimensional pressure analysis characteristics of the user at the corresponding tilt angle are calculated, including: Q is a preset constant; multidimensional pressure analysis features include intervertebral disc pressure, pressure change rate, and pressure distribution uniformity. The intervertebral disc pressure load is equal to the average value of the user's spinal tension physiological parameters corresponding to the time of collecting each pressure distribution data frame at the corresponding tilt angle. The pressure distribution uniformity is equal to 1 minus the difference between the standard deviation of the pressure sensor monitoring values in the Q pressure distribution data frames collected at the corresponding tilt angle and the quotient obtained by dividing by the corresponding average pressure sensor monitoring value. The calculation formulas involved in obtaining the pressure load change rate are as follows: in, This represents the corresponding rate of change of pressure load; This represents the user's spinal tension physiological parameter corresponding to the j-th pressure distribution data frame collected at the corresponding tilt angle. This represents the physiological parameter of spinal tension of the user corresponding to the (j-1)th pressure distribution data frame collected at the corresponding tilt angle. This indicates the time interval between any two adjacent pressure distribution data frames when the user collects each pressure distribution data frame at the corresponding tilt angle. A comprehensive analysis of the multi-dimensional pressure characteristics of the user at the corresponding tilt angle is performed to obtain the user's comprehensive comfort assessment value at the corresponding tilt angle, denoted as SP. in, This indicates the intervertebral disc pressure load on the user at the corresponding tilt angle; This represents the reference value of intervertebral disc pressure load for the user at the corresponding tilt angle; This represents the reference value of the pressure load change rate for the user at the corresponding tilt angle; U represents the pressure distribution uniformity for the user at the corresponding tilt angle; r1, r2, and r3 represent preset weighting coefficients, respectively. The tilt angle that maximizes the overall comfort assessment value SP is found by traversal or gradient descent, and this angle is taken as the personalized optimal angle for the corresponding user. At the same time, the comfort threshold range of the current preset mode is updated according to the intervertebral disc pressure load corresponding to the personalized optimal angle of the corresponding user. The difference between the intervertebral disc pressure load corresponding to the personalized optimal angle of the corresponding user and the preset half-bandwidth is taken as the minimum value in the updated comfort threshold range of the current preset mode, and the sum of the intervertebral disc pressure load corresponding to the personalized optimal angle of the corresponding user and the preset half-bandwidth is taken as the maximum value in the updated comfort threshold range of the current preset mode. The preset comfort threshold range corresponding to the current preset mode is then updated.
[0024] In this embodiment, the intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data also includes a user identification module. This module is used to extract features from the collected pressure distribution data and match the extracted features with a preset template in the database to identify the user. The feature extraction results of the pressure distribution data include the principal component coefficients of the pressure distribution, body weight, and ischial tuberosity distance. The principal component coefficients of the pressure distribution are obtained by performing principal component analysis on the collected pressure distribution data. The ischial tuberosity distance is equal to the distance between the pressure peak point corresponding to the first ischial node position and the pressure peak point corresponding to the second ischial node position. In the process of matching the feature extraction results with the preset templates in the database to achieve user identification, a feature vector is constructed based on the feature extraction results of pressure distribution data, consisting of the principal component coefficients of pressure distribution, body weight, and ischial tuberosity distance. The obtained feature vector is matched with the preset feature vector corresponding to the preset template in the database, and the cosine similarity between the two is calculated by the cosine similarity algorithm. The preset template with the largest cosine similarity among all preset templates with a cosine similarity greater than the similarity threshold is used as the identified user identity.
[0025] The user identification module is also used to store personalized data of different users, and after identifying the current user, it calls the user's personalized data to adaptively correct the preset comfort threshold range; the personalized data includes personalized physiological parameter benchmarks, historical sitting posture data and corresponding preferred angles.
[0026] In this embodiment, before each adjustment of the preset comfort threshold range, it is necessary to determine the adjustment interval duration to ensure that the interval between two adjacent adjustments is less than the preset adjustment interval duration.
[0027] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0028] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. An intelligent wedge-shaped seat cushion curvature dynamic adjustment system based on user spinal physiological data, including: The wedge-shaped seat cushion body that contacts the seat and the angle adjustment mechanism for adjusting the tilt angle of the wedge-shaped seat cushion body relative to the horizontal plane are characterized in that the contact surface between the wedge-shaped seat cushion body and the human body is provided with a flexible thin film pressure sensor array for real-time collection of pressure distribution data of the user's buttocks and legs. The system includes: The physiological data estimation module is connected to the flexible thin-film pressure sensor array, receives the collected pressure distribution data, and estimates the user's spinal tension physiological parameters in real time based on a preset biomechanical model. The spinal tension physiological parameters include at least the lumbar spine stress load. The dynamic feedback control module is connected to the physiological data calculation module and the angle adjustment mechanism respectively. Based on the comparison between the real-time calculated physiological parameters of the user's spinal tension and the preset comfort threshold range, it dynamically generates control commands to control the angle adjustment mechanism to adjust the tilt angle, forming a closed-loop feedback control until the acquired physiological parameters of spinal tension return to the preset comfort threshold range.
2. The intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data according to claim 1, characterized in that, The pre-set biomechanical models in the physiological data extrapolation module include: The ischial tuberosity position and pressure center are identified based on the pressure distribution data; the ischial tuberosity position is the pressure peak point position obtained by performing local peak detection on the pressure distribution data, and the number of ischial tuberosity positions obtained is two. The current pelvic tilt angle is calculated based on the pressure center offset; the pressure center offset is equal to the distance between the pressure center and the pelvic reference center point mapped in the front-back direction of the seat, and the pelvic reference center point is the midpoint of the line connecting the two obtained ischial tuberosities; the current pelvic tilt angle is the result of substituting the obtained pressure center offset as an independent variable into a preset univariate linear regression model, and the coefficients in the preset univariate linear regression model are preset calibration coefficients obtained by fitting experimental data. Based on the motion coupling relationship between the pelvis and the lumbar spine, a mapping relationship between the pelvic tilt angle and the change in the lumbar lordosis angle is established. Based on the change in lumbar lordosis angle, combined with a preset biomechanical load model, which is a simplified mechanical model constructed based on user weight, lumbar lordosis angle, intervertebral disc cross-sectional area, muscle stiffness coefficient and muscle lever arm, the stress load value of the intervertebral disc in a specific segment is calculated as a physiological parameter of spinal tension.
3. The intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data according to claim 1, characterized in that, The preset comfort threshold range includes multiple preset modes for different application scenarios, including office sitting mode, vehicle driving mode and leisure mode, and different preset modes correspond to different preset comfort threshold ranges.
4. The intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data according to claim 1, characterized in that, The dynamic feedback control unit includes a target tilt angle acquisition unit and an adjustment control signal generation unit; The target tilt angle acquisition unit is used to calculate the deviation between the user's spinal tension physiological parameters acquired at the current time and the comfort threshold range, and to calculate the target tilt angle required for the wedge-shaped seat cushion body based on the obtained deviation. The adjustment control signal generation unit is used to generate a corresponding adjustment control signal based on the target tilt angle obtained by the target tilt angle acquisition unit, and drive the angle adjustment mechanism to perform adjustment actions.
5. The intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data according to claim 4, characterized in that, When the user's sitting posture is stable, the target tilt angle acquisition unit adjusts the tilt angle of the wedge-shaped cushion body relative to the horizontal plane with a preset step length and preset frequency. By comprehensively analyzing the multi-dimensional pressure analysis characteristics composed of intervertebral disc pressure load, pressure load change rate, and pressure distribution uniformity, it automatically optimizes to obtain the corresponding user's personalized optimal angle and updates the preset comfort threshold range corresponding to the current preset mode. The condition for determining the user's stable sitting posture is that the length of the continuous time interval formed by the time points when the deviation between the corresponding user's spinal tension physiological parameters and the preset comfort threshold range is less than a preset value is greater than a preset duration.
6. The intelligent wedge-shaped cushion curvature dynamic adjustment system based on user spinal physiological data according to claim 1, characterized in that, It also includes a user identification module, which is used to identify users by extracting features from the collected pressure distribution data and matching the feature extraction results with a preset template in the database. The feature extraction results of the pressure distribution data include the principal component coefficients of the pressure distribution, body weight, and ischial tuberosity distance. The user identification module is also used to store personalized data of different users, and after identifying the current user, it calls the user's personalized data to adaptively correct the preset comfort threshold range.