Intelligent bedding control system and method based on motion perception

Abstract

The invention relates to the technical field of bedding control, and particularly discloses an intelligent bedding control system and method based on motion perception, and the method comprises the following steps: S1, arranging a miniature height collection point and a pressure application point on a bedding supporting surface, collecting height data in real time through the height collection point, and when a user is on the bedding, sending the pressure application point to the miniature height collection point; generating a current height curved surface based on all height acquisition point data; s2, establishing an action state library containing action states of lying on the side, lying on the back and the like and corresponding standard height curved surfaces, calculating the similarity between the current height curved surface and each standard curved surface in the library, determining the current action state of the user according to the similarity, and obtaining a comfort value of the current height curved surface in combination with the standard height curved surface of the state; s3, if the comfort value is lower than a preset threshold value, according to the standard height curved surface of the current action state, the supporting force needing to be applied by each micro pressure applying point is calculated, so that the comfort value of the current height curved surface approaches the threshold value, and the bedding use comfort degree is improved.

Description

Technical Field

[0001] This invention relates to the field of bedding control technology, specifically to an intelligent bedding control system and method based on motion perception. Background Technology

[0002] In the field of sleep health, mattresses, as core bedding, directly affect sleep quality, which in turn impacts individual physical and mental health. However, traditional mattresses have significant limitations and struggle to meet the diverse needs of different individuals. As people age, changes occur in the physiological functions of bones and muscles, altering the requirements for mattress support and firmness. Fluctuations in health conditions, such as lower back discomfort and joint pain, further necessitate specific demands on mattress fit and pressure distribution.

[0003] Traditional mattresses use standardized designs and cannot adjust in real time according to individual body conditions and sleeping habits. This leads to uneven pressure on the body during sleep, which can cause localized pressure, poor blood circulation, increased fatigue, and even induce or aggravate various health problems. For special groups such as the elderly and patients with chronic diseases, the lack of adaptability of traditional mattresses is particularly prominent, seriously affecting their sleep quality and quality of life. Summary of the Invention

[0004] The purpose of this invention is to provide a motion-sensing-based intelligent control system and method for bedding, and to solve the following technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions: The intelligent control method for bedding based on motion perception includes the following steps: Step S1: Set up several micro height acquisition points and micro pressure application points on the bedding support surface. The micro height acquisition points are used to collect height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by collecting the height values ​​from all the micro height acquisition points. Step S2: Establish an action state library, which includes several preset action states and their standard height surfaces, wherein the action states include side-lying state and supine state; obtain the similarity between the current height surface and each standard height surface in the action state library, determine the user's current action state based on the similarity, and obtain the comfort value of the current height surface based on the standard height surface of the current action state. Step S3: If the comfort value is lower than the comfort value threshold, obtain the support force required to be applied at each micro pressure application point according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold.

[0006] As a further aspect of the present invention: the generation process of the current height surface at this time includes: A three-dimensional coordinate system is established with the bottom surface of the bedding as the XY axis and the height as the Z axis. The bedding is placed in the three-dimensional coordinate system, and the position of each micro height acquisition point corresponds to a three-dimensional coordinate. In the three-dimensional coordinate system, the three-dimensional coordinates corresponding to each micro height acquisition point are fitted to obtain the current height surface.

[0007] As a further aspect of the present invention: the process of obtaining the standard height surface of the preset action state includes: Several key force points of a preset action state are obtained, and all key force points are sorted according to the positive direction from head to toe. The distance between any two adjacent key force points after sorting is obtained, and the ratio of all distances is obtained to obtain the human body proportion value. Several personnel samples are selected, and the human body proportion value of the personnel samples is obtained. The height surface generated when the personnel samples are in the most comfortable posture on the bedding in the preset action state is obtained. The average proportion value of the human body proportion values ​​of all personnel samples is obtained, and the average height surface of the height surfaces of all personnel samples is obtained. The average height surface corresponding to the average proportion value is recorded as the standard height surface.

[0008] As a further aspect of the present invention: the process of obtaining the similarity between the current height surface and the standard height surface includes: Obtain the cross-sections of the current height surface and the standard height surface, and denote them as the current cross-section and the standard cross-section, respectively. Select M comparison points on the current cross-section and the standard cross-section, and obtain the tangent slope at each comparison point to obtain the similarity score. Kf k Kg represents the slope of the tangent at the k-th comparison point on the current cross section. k Let represent the slope of the tangent at the k-th comparison point on the standard cross section, where k is the index and k∈[1,M].

[0009] As a further aspect of the present invention: the process of determining the user's current action state includes selecting a preset action state corresponding to the standard height surface with the highest similarity to the current height surface, and recording it as the user's current action state.

[0010] As a further aspect of the present invention: the process of obtaining the comfort value of the current height surface includes: Based on the current height surface, several key stress points of the user are obtained, and based on all the key stress points of the user, the user's body proportion value is obtained and recorded as the user proportion value; the standard height surface of the current action state is recorded as the current standard height surface, and the horizontal coordinate interval occupied by the current standard height surface is obtained. The horizontal coordinates of the user's key points are marked on the horizontal coordinate interval according to the user proportion value; the average horizontal coordinates of the key points are marked on the horizontal coordinate interval according to the average proportion value, and the points corresponding to the average horizontal coordinates of the key points are obtained on the current standard height surface and recorded as key points. All key points are translated so that the horizontal coordinates of each key point coincide with the horizontal coordinates of each user's key points, thus obtaining the user standard surface; the current height surface and the user standard surface are converted into two-dimensional matrices respectively, and the elements of the two two-dimensional matrices are the height values ​​collected by each micro pressure acquisition point. The correlation coefficient of the two two-dimensional matrices is obtained and recorded as the comfort value of the current height surface.

[0011] As a further aspect of the present invention: the process of obtaining the required support force at each micro-pressure application point includes: Based on the objective function, a sparse optimization model is constructed with the goal of minimizing the number of adjusted micro-pressure application points. The sparse optimization model is solved to determine the micro-pressure application points that need to be adjusted and their corresponding support force adjustment amounts. The objective function of the sparse optimization model includes a first term and a second term. The first term is used to measure the comfort value of the current height surface after adjustment, and the second term is used to constrain the number of micro-pressure application points that need to be adjusted.

[0012] A motion-sensing-based intelligent control system for bedding includes: Height acquisition module: Several micro height acquisition points and micro pressure application points are set on the bedding support surface. The micro height acquisition points are used to acquire height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by acquiring the height values ​​from all the micro height acquisition points. Comfort Analysis Module: Establishes a motion state library, which includes several preset motion states and their standard height surfaces, wherein the motion states include side-lying state and supine state; obtains the similarity between the current height surface and each standard height surface in the motion state library, determines the user's current motion state based on the similarity, and obtains the comfort value of the current height surface based on the standard height surface of the current motion state. Pressure adjustment module: If the comfort value is lower than the comfort value threshold, the support force required to be applied at each micro pressure application point is obtained according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold.

[0013] The beneficial effects of this invention are: This invention combines a sparse constraint-based optimization control strategy to achieve precise, low-energy, and adaptive adjustment of bedding comfort, resulting in significant benefits. Firstly, using height acquisition points more directly and realistically reflects the fit between the human spine curve and the mattress support surface. Height data directly characterizes the sinking depth and support shape of various body parts, providing a more stable and objective data foundation for comfort assessment. This allows the system to accurately identify key issues such as lumbar unsupported areas and shoulder compression, making it particularly suitable for users of different ages, body types, and health conditions, ensuring the universality and accuracy of the assessment. Secondly, this invention fully respects individual differences and real-time needs. The system dynamically calls corresponding comfort thresholds based on the user's current movement state, only initiating adjustments when the actual comfort level is below the threshold, avoiding ineffective movements and achieving truly personalized, on-demand optimization. Finally, and most innovatively, this invention introduces a sparse optimization model aimed at minimizing the number of adjustments when calculating the support force at each pressure application point. By using mathematical constraints to ensure that the minimum number of actuators is required to achieve the desired comfort level, the system not only significantly reduces energy consumption and extends the lifespan of mechanical components, but more importantly, it significantly reduces physical interference to the user during the adjustment process. Attached Figure Description

[0014] The invention will now be further described with reference to the accompanying drawings.

[0015] Figure 1 This is a schematic diagram of the steps of the intelligent bedding control method based on motion perception of the present invention; Figure 2 This is a flowchart illustrating the intelligent bedding control system based on motion perception according to the present invention. Detailed Implementation

[0016] 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.

[0017] Please see Figure 1 As shown, this invention is a bedding intelligent control method based on motion perception, comprising the following steps: Step S1: Set up several micro height acquisition points and micro pressure application points on the bedding support surface. The micro height acquisition points are used to collect height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by collecting the height values ​​from all the micro height acquisition points. In a preferred embodiment of the present invention, the process of setting a plurality of micro height acquisition points on the bedding support surface includes dividing the bedding support surface into rectangular grids to obtain a plurality of grid points, setting micro height acquisition points at each grid point, and setting micro pressure application points at the micro height acquisition points. In a preferred embodiment of the present invention, the height value is the distance between the micro height acquisition point and the bottom surface of the bedding, and the bottom surface of the bedding is a surface parallel to the supporting surface of the bedding; In a preferred embodiment of the present invention, the micro pressure application point does not apply support force when it is not adjusted; In a preferred embodiment of the present invention, the process of generating the current height surface includes: A three-dimensional coordinate system is established with the bottom surface of the bedding as the XY axis and the height as the Z axis. The bedding is placed in the three-dimensional coordinate system, and the position of each micro height acquisition point corresponds to a three-dimensional coordinate. In the three-dimensional coordinate system, a surface fitting is performed on the three-dimensional coordinates corresponding to each micro height acquisition point to obtain the current height surface. Step S2: Establish an action state library, which includes several preset action states and their standard height surfaces, wherein the action states include side-lying state and supine state; obtain the similarity between the current height surface and each standard height surface in the action state library, determine the user's current action state based on the similarity, and obtain the comfort value of the current height surface based on the standard height surface of the current action state. In a preferred embodiment of the present invention, the process of obtaining the standard height surface of the preset action state includes: Several key force points of a preset action state are obtained, and all key force points are sorted according to the positive direction from head to toe. The distance between any two adjacent key force points after sorting is obtained, and the ratio of all distances is obtained to obtain the human body proportion value. Several personnel samples are selected, and the human body proportion value of the personnel samples is obtained. The height surface generated when the personnel samples are in the most comfortable posture on the bedding in the preset action state is obtained. The average proportion value of the human body proportion values ​​of all personnel samples is obtained, and the average height surface of the height surfaces of all personnel samples is obtained. The average height surface corresponding to the average proportion value is recorded as the standard height surface. The process of obtaining the average proportion value includes: Obtain the human body proportion values ​​of all personnel samples, resulting in {[L11, L12, ..., L1...} N [L21, L22, ..., L2] N ],...,[Ln1,Ln2,...,Ln N ]}, where Ln NLet the Nth critical stress point in the human body proportion of the nth person sample be represented, then the average proportion value is obtained. , where i is the index, and i∈[1,n]; The process of obtaining the average height surface includes: For any height surface, the height surface is divided into grids according to a preset resolution. Each grid point is recorded as a sampling point. Each sampling point is numbered, and the height value corresponding to each sampling point is obtained. Then, the height value corresponding to the sampling point with the same number on each height surface is obtained, and the average value of all height values ​​is obtained and recorded as the average height value. Based on the average height value corresponding to each numbered sampling point, the average height surface is fitted. It should be noted that the key stress points refer to the local maximum values ​​where the pressure value exceeds a preset multiple of the average pressure value in its neighborhood. Key stress points usually correspond to the main weight-bearing parts when the human body is in contact with the bedding. Taking the supine position as an example, key stress points generally include the buttocks area, head area, and heel area. In the side-lying position, key stress points are mainly concentrated in the shoulder area and hip area. These key stress points reflect the support characteristics of the human body in this posture. In a preferred embodiment of the present invention, the process of obtaining the similarity between the current height surface and the standard height surface includes: Obtain the cross-sections of the current height surface and the standard height surface, and denote them as the current cross-section and the standard cross-section, respectively. Select M comparison points on the current cross-section and the standard cross-section, and obtain the tangent slope at each comparison point to obtain the similarity Sim. Kf k Kg represents the slope of the tangent at the k-th comparison point on the current cross section. k Let represent the slope of the tangent line at the kth comparison point on the standard cross section, where k is the index and k∈[1,M]; The process of obtaining the transverse section of the standard height surface includes: A virtual plane perpendicular to the bedding support surface is established. The virtual plane intersects with the standard height surface to obtain a two-dimensional contour curve, which is denoted as the cross section of the standard height surface. The process of obtaining the current cross section is similar. In a preferred embodiment of the present invention, the process of determining the user's current action state includes selecting a preset action state corresponding to the standard height surface with the highest similarity to the current height surface, and recording it as the user's current action state; In a preferred embodiment of the present invention, the process of obtaining the comfort value of the current height surface includes: Based on the current height surface, several key stress points of the user are obtained, and based on all the key stress points of the user, the user's body proportion value is obtained and recorded as the user proportion value; the standard height surface of the current action state is recorded as the current standard height surface, and the horizontal coordinate interval occupied by the current standard height surface is obtained. The horizontal coordinates of the user's key points are marked on the horizontal coordinate interval according to the user proportion value; the average horizontal coordinates of the key points are marked on the horizontal coordinate interval according to the average proportion value, and the points corresponding to the average horizontal coordinates of the key points are obtained on the current standard height surface and recorded as key points. All key points are translated so that the horizontal coordinates of each key point coincide with the horizontal coordinates of each user's key points, thus obtaining the user standard surface; the current height surface and the user standard surface are respectively converted into two-dimensional matrices, and the elements of the two two-dimensional matrices are the height values ​​collected by each micro pressure acquisition point. The correlation coefficient of the two two-dimensional matrices is obtained and recorded as the comfort value of the current height surface; It is worth noting that the normalization process for the two two-dimensional matrices is performed before obtaining the correlation coefficient between them; the comfort value ranges from [-1, 1], and the closer it is to 1, the more similar the shapes of the two height surfaces are. Step S3: If the comfort value is lower than the comfort value threshold, obtain the support force required to be applied at each micro pressure application point according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold. In a preferred embodiment of the present invention, if the comfort value is greater than or equal to the comfort value threshold, the support force at each micro-pressure application point is not adjusted. In a preferred embodiment of the present invention, the process of obtaining the required applied support force at each micro pressure application point includes: Based on the objective function, a sparse optimization model is constructed with the goal of minimizing the number of micro-pressure application points to be adjusted. The sparse optimization model is solved to determine the micro-pressure application points that need to be adjusted and their corresponding support force adjustment amounts. The objective function of the sparse optimization model includes a first term and a second term. The first term is used to measure the comfort value of the current height surface after adjustment, and the second term is used to constrain the number of micro-pressure application points that need to be adjusted. Specifically, in order to achieve perturbation modulation, that is, to minimize the number of activated micro-pressure application points, the present invention adopts the following optimization strategy: The comfort value calculation process is integrated into a comfort evaluation function S=f(H), where H is the height surface expression. The influence coefficient matrix G is obtained through experimental calibration. The change in height caused by applying support force at the a-th micro pressure application point and the b-th micro height acquisition point is denoted as G. ba Then the amount of support force adjustment The resulting change in height is Since the comfort evaluation function may be nonlinear, to simplify the optimization solution process, on the current height surface H... c Performing a first-order Taylor expansion on the given surface, we obtain: , where H c The expression for the current height surface. The gradient vector of the comfort value with respect to height is obtained and stored in advance based on the finite difference method; The adjustment goal of the first item is to make the adjusted comfort value reach or exceed the comfort value threshold. S c S represents the comfort value of the current height curvature surface. th The comfort threshold; At the same time, the number of application points that require adjustment should be kept as small as possible. Number of zero elements in non-zero regions Minimize, and combine with actuator physical constraints The following sparse optimization model is obtained: ,in ; Since the optimization of ||·||0 is an NP-hard problem, a greedy algorithm is generally used to solve it. The process includes: Iteratively select the application point that contributes the most to improving comfort and adjust it accordingly, acquiring the collinearity of each micro-height acquisition point each time. Select the point that contributes the most, adjust its force value according to the maximum allowable adjustment amount, and update. And the remaining required comfort increment, until satisfied. Or it may reach the maximum number of iterations.

[0018] A motion-sensing-based intelligent control system for bedding includes: Height acquisition module: Several micro height acquisition points and micro pressure application points are set on the bedding support surface. The micro height acquisition points are used to acquire height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by acquiring the height values ​​from all the micro height acquisition points. Comfort Analysis Module: Establishes a motion state library, which includes several preset motion states and their standard height surfaces, wherein the motion states include side-lying state and supine state; obtains the similarity between the current height surface and each standard height surface in the motion state library, determines the user's current motion state based on the similarity, and obtains the comfort value of the current height surface based on the standard height surface of the current motion state. Pressure adjustment module: If the comfort value is lower than the comfort value threshold, the support force required to be applied at each micro pressure application point is obtained according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold.

[0019] Understandably, by adjusting the calculated support force, the corresponding micro-pressure application points are controlled to produce corresponding changes in support force, so that the height curvature of the mattress gradually approaches the ideal state, and ultimately the comfort value is achieved.

[0020] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for intelligent control of bedding based on motion perception, characterized in that, Includes the following steps: Step S1: Set up several micro height acquisition points and micro pressure application points on the bedding support surface. The micro height acquisition points are used to collect height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by collecting the height values ​​from all the micro height acquisition points. Step S2: Establish an action state library, which includes several preset action states and their standard height surfaces, wherein the action states include side-lying state and supine state; obtain the similarity between the current height surface and each standard height surface in the action state library, determine the user's current action state based on the similarity, and obtain the comfort value of the current height surface based on the standard height surface of the current action state. Step S3: If the comfort value is lower than the comfort value threshold, obtain the support force required to be applied at each micro pressure application point according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold.

2. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S1, the height value is the distance between the micro height acquisition point and the bottom surface of the bedding, and the bottom surface of the bedding is a surface parallel to the supporting surface of the bedding.

3. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S1, the generation process of the current height surface includes: A three-dimensional coordinate system is established with the bottom surface of the bedding as the XY axis and the height as the Z axis. The bedding is placed in the three-dimensional coordinate system, and the position of each micro height acquisition point corresponds to a three-dimensional coordinate. In the three-dimensional coordinate system, the three-dimensional coordinates corresponding to each micro height acquisition point are fitted to obtain the current height surface.

4. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S2, the process of obtaining the standard height surface of the preset action state includes: Several key force points of a preset action state are obtained, and all key force points are sorted according to the positive direction from head to toe. The distance between any two adjacent key force points after sorting is obtained, and the ratio of all distances is obtained to obtain the human body proportion value. Several personnel samples are selected, and the human body proportion value of the personnel samples is obtained. The height surface generated when the personnel samples are in the most comfortable posture on the bedding in the preset action state is obtained. The average proportion value of the human body proportion values ​​of all personnel samples is obtained, and the average height surface of the height surfaces of all personnel samples is obtained. The average height surface corresponding to the average proportion value is recorded as the standard height surface.

5. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S2, the process of obtaining the similarity between the current height surface and the standard height surface includes: Obtain the cross-sections of the current height surface and the standard height surface, and denote them as the current cross-section and the standard cross-section, respectively. Select M comparison points on the current cross-section and the standard cross-section, and obtain the tangent slope at each comparison point to obtain the similarity score. Kf k Kg represents the slope of the tangent at the k-th comparison point on the current cross section. k Let represent the slope of the tangent at the k-th comparison point on the standard cross section, where k is the index and k∈[1,M].

6. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S2, the process of determining the user's current action state includes selecting a preset action state corresponding to the standard height surface with the highest similarity to the current height surface, and recording it as the user's current action state.

7. The intelligent bedding control method based on motion perception according to claim 4, characterized in that, In step S2, the process of obtaining the comfort value of the current height surface includes: Based on the current height surface, several key stress points of the user are obtained, and based on all the key stress points of the user, the user's body proportion value is obtained and recorded as the user proportion value; the standard height surface of the current action state is recorded as the current standard height surface, and the horizontal coordinate interval occupied by the current standard height surface is obtained. The horizontal coordinates of the user's key points are marked on the horizontal coordinate interval according to the user proportion value; the average horizontal coordinates of the key points are marked on the horizontal coordinate interval according to the average proportion value, and the points corresponding to the average horizontal coordinates of the key points are obtained on the current standard height surface and recorded as key points. All key points are translated so that the horizontal coordinates of each key point coincide with the horizontal coordinates of each user's key points, thus obtaining the user standard surface; the current height surface and the user standard surface are converted into two-dimensional matrices respectively, and the elements of the two two-dimensional matrices are the height values ​​collected by each micro pressure acquisition point. The correlation coefficient of the two two-dimensional matrices is obtained and recorded as the comfort value of the current height surface.

8. The intelligent bedding control method based on motion perception according to claim 1, characterized in that, In step S3, the process of obtaining the required applied support force at each micro-pressure application point includes: Based on the objective function, a sparse optimization model is constructed with the goal of minimizing the number of adjusted micro-pressure application points. The sparse optimization model is solved to determine the micro-pressure application points that need to be adjusted and their corresponding support force adjustment amounts. The objective function of the sparse optimization model includes a first term and a second term. The first term is used to measure the comfort value of the current height surface after adjustment, and the second term is used to constrain the number of micro-pressure application points that need to be adjusted.

9. A motion-sensing-based intelligent control system for bedding, characterized in that, include: Height acquisition module: Several micro height acquisition points and micro pressure application points are set on the bedding support surface. The micro height acquisition points are used to acquire height values ​​in real time, and the micro pressure application points are used to apply pressure. When the user is on the bedding, the current height surface is generated by acquiring the height values ​​from all the micro height acquisition points. Comfort Analysis Module: Establishes a motion state library, which includes several preset motion states and their standard height surfaces, wherein the motion states include side-lying state and supine state; obtains the similarity between the current height surface and each standard height surface in the motion state library, determines the user's current motion state based on the similarity, and obtains the comfort value of the current height surface based on the standard height surface of the current motion state. Pressure adjustment module: If the comfort value is lower than the comfort value threshold, the support force required to be applied at each micro pressure application point is obtained according to the standard height surface of the current action state, so that the comfort value of the current height surface approaches the comfort value threshold.

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