Posture recognition bedding and posture recognition method

Abstract

The present application discloses a posture recognition bedding and a posture recognition method, wherein the posture recognition bedding comprises a bedding body and a signal acquisition module, wherein the bedding body comprises a plurality of capacitive sensors, and the plurality of capacitive sensors are electrically connected to the signal acquisition module respectively; the plurality of capacitive sensors are arranged in the bedding body in a first preset arrangement along the direction in which the human body lies; each of the capacitive sensors comprises an electrode made of a flexible and extensible conductive material, each of the electrodes made of a flexible and extensible conductive material is parallel to the direction in which the human body lies, and each of the capacitive sensors does not contact each other. The present application can accurately detect the human body coverage information of the corresponding area, greatly improving the accuracy of posture recognition.

Description

Technical Field

[0001] The present application relates to the field of sensor technology, and in particular to a posture recognition bedding and a posture recognition method. Background Art

[0002] About one-quarter to one-third of a person's day is spent sleeping, and the demand for monitoring sleep quality is increasing, such as monitoring whether the user's posture is comfortable during sleep, whether the user is under pressure on a certain part for a long time, etc. In addition, for some specific groups of people, such as the elderly and children, it is also necessary to warn of the risk of falling. Therefore, it is very necessary to monitor the type of posture of the user on the bedding. At present, there are some smart mattresses on the market. By setting pressure sensors on the mattress, the gravity of the human body covered on it is monitored, and the state type of the human body is judged according to the position of the pressure sensor under pressure. However, due to the close contact between the human body and the mattress during sleep, the elastic support layer of the mattress (such as sponge, etc.) will be deformed under the pressure of the human body, and the pressure sensor set inside the mattress will produce a large displacement, resulting in a large error in the pressure position detected by the smart mattress, and the human posture type result obtained by analyzing the pressure position is often inaccurate. Summary of the invention

[0003] The purpose of the present application is to provide a posture recognition bedding and a posture recognition method, aiming to solve the problem in the prior art that the posture of a human body on the bedding cannot be accurately recognized.

[0004] The present application proposes a posture recognition bedding, comprising a bedding body and a signal acquisition module, wherein the bedding body comprises a plurality of capacitive sensors, and the plurality of capacitive sensors are electrically connected to the signal acquisition module respectively; the plurality of capacitive sensors are arranged in the bedding body according to a first preset arrangement along the direction in which a human body lies; each of the capacitive sensors comprises an electrode made of a flexible and stretchable conductive material, each of the electrodes made of a flexible and stretchable conductive material is parallel to the direction in which the human body lies, and the capacitive sensors do not contact each other.

[0005] Furthermore, the capacitive sensor comprises a single-layer capacitive sensor, the electrode of the single-layer capacitive sensor is a single layer, denoted as a first electrode; the first electrode of the single-layer capacitive sensor is electrically connected to an AC power supply.

[0006] Furthermore, the bedding body also includes an upper fabric, which is arranged above the first electrode in a direction perpendicular to a lying human body, and a thickness of the upper fabric is less than a preset thickness threshold.

[0007] Furthermore, the capacitive sensor includes a double-layer capacitive sensor, the electrodes of the double-layer capacitive sensor are two layers, denoted as the second electrode and the third electrode, the second electrode and the third electrode are arranged opposite to each other; the second electrode and the third electrode of the double-layer capacitive sensor are respectively connected to a DC power supply; the double-layer capacitive sensor includes the second electrode, an elastic supporting layer and the third electrode from top to bottom in a direction perpendicular to a lying human body, the second electrode is made of a flexible and stretchable conductive material, the elastic supporting layer is made of a flexible and stretchable insulating material, and the third electrode is made of a conductive material.

[0008] Furthermore, the third electrode is made of a flexible and extensible conductive material.

[0009] Furthermore, the capacitive sensor also includes a single-layer capacitive sensor, the electrode of the single-layer capacitive sensor is one layer, recorded as the first electrode; the first electrode of the single-layer capacitive sensor is electrically connected to an AC power supply; the single-layer capacitive sensor and the double-layer capacitive sensor are arranged alternately in the bedding body according to a second preset arrangement along the direction in which the human body lies.

[0010] Furthermore, the posture recognition bedding also includes a controller, which is electrically connected to the bedding body; the controller is also connected to a signal processing module, a display module and a wireless communication module.

[0011] This application also proposes a posture recognition method, using the above-mentioned posture recognition bedding, including:

[0012] Monitoring the capacitance value of each of the capacitive sensors in real time;

[0013] Determining whether the capacitance value of at least one of the capacitive sensors changes;

[0014] If yes, the capacitance sensor whose capacitance value changes is recorded as a pressure sensor, and the capacitance change information of each pressure sensor is obtained respectively;

[0015] The posture type of the human body on the posture recognition bedding is determined according to the capacitance change information of each of the pressure sensors.

[0016] Furthermore, the types of the capacitive sensors include single-layer capacitive sensors and double-layer capacitive sensors, and the capacitive sensors whose capacitance values ​​change are recorded as pressure sensors, and the steps of respectively acquiring capacitance change information of each of the pressure sensors include:

[0017] Determining respectively the type of each of the capacitive sensors whose capacitance values ​​have changed;

[0018] If it is a single-layer capacitive sensor, each of the single-layer capacitive sensors whose capacitance value changes is recorded as a first pressure sensor, and the first capacitance change information of each of the first pressure sensors is obtained; if it is a double-layer capacitive sensor, each of the double-layer capacitive sensors whose capacitance value changes is recorded as a second pressure sensor, and the second capacitance change information of each of the second pressure sensors is obtained.

[0019] Furthermore, the step of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors includes:

[0020] According to the first capacitance change information of each of the first pressure sensors, it is determined whether there is a human body on the posture recognition bedding;

[0021] If yes, obtaining the coverage area of ​​the human body on the posture recognition bedding according to the position of each of the second pressure sensors on the posture recognition bedding, and obtaining the force distribution information in the coverage area according to the second capacitance change information of each of the second pressure sensors;

[0022] Analyzing the force distribution information in the coverage area to obtain each force peak information in the coverage area;

[0023] The coverage area and each force peak information are matched in a preset posture type database, and the posture type corresponding to the force coverage map is determined according to the matching result, wherein the posture type database stores each reference posture type, as well as a mapping relationship between a reference coverage area and a reference force peak position corresponding to each reference posture type.

[0024] Further, after the step of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors, the method further comprises:

[0025] Determining whether the posture type of the human body has changed;

[0026] If yes, then obtaining the continuous change information of the posture type of the human body;

[0027] The continuous change information is matched in a preset activity intention database, and the activity intention of the human body is determined according to the matching result, wherein the activity intention database stores the benchmark continuous change information of the posture type corresponding to each activity intention.

[0028] Beneficial effects of this application:

[0029] The posture recognition bedding and posture recognition method of the present application are provided with a plurality of capacitive sensors in the bedding body, each of which contains an electrode made of a flexible and extensible conductive material; under the action of gravity when covered by a human body, the electrode made of a flexible and extensible conductive material deforms with the sinking of the posture recognition bedding, sinks in the vertical direction, and stretches to a certain extent in the horizontal direction, and the center position of the capacitive sensor does not displace significantly in the horizontal direction; when the human body leaves, the gravity disappears, and the electrodes of the capacitive sensor are restored to the initial undeformed state in both the vertical and horizontal directions. A plurality of capacitive sensors are arranged in an array along the direction in which the human body lies, and each capacitive sensor senses the human body coverage information of the corresponding area, so that the coverage area of ​​the human body on the posture recognition bedding can be obtained, and the human body posture can be recognized according to the image of the coverage area. The electrodes of flexible and extensible conductive material are used, so that the center position of the capacitive sensor does not displace significantly in the horizontal direction, so that the human body coverage information of the corresponding area can be accurately detected, greatly improving the accuracy of posture recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a schematic diagram of the cross-sectional structure of a posture recognition bedding product according to an embodiment of the present application;

[0031] Figure 2 It is a schematic diagram of the planar structure of the capacitive sensor distribution of the posture recognition bedding according to one embodiment of the present application;

[0032] Figure 3 is a structural schematic diagram of a single-layer capacitive sensor according to an embodiment of the present application;

[0033] Figure 4 is a structural schematic diagram of a double-layer capacitive sensor according to an embodiment of the present application;

[0034] Figure 5 is a structural schematic diagram of a double-layer capacitive sensor according to another embodiment of the present application;

[0035] Figure 6 It is a planar structural diagram of the capacitive sensor distribution of a posture recognition bedding according to another embodiment of the present application;

[0036] Figure 7 This is a schematic structural diagram of a posture recognition bedding product according to an embodiment of the present application;

[0037] Figure 8 It is a flowchart of a gesture recognition method according to an embodiment of the present application.

[0038] Reference numerals:

[0039] 1: bedding body; 2: signal acquisition module; 10: capacitive sensor; 101: single-layer capacitive sensor; 102: AC power supply; 1011: first electrode; 3: upper fabric; 111: double-layer capacitive sensor; 112: DC power supply; 1111: second electrode; 1112: elastic support layer; 1113: third electrode.

[0040] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] In addition, in this application, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0043] Reference Figure 1 and Figure 2 The present application provides a posture recognition bedding, comprising a bedding body 1 and a signal acquisition module 2, wherein the bedding body 1 comprises a plurality of capacitive sensors 10, and the plurality of capacitive sensors 10 are electrically connected to the signal acquisition module 2 respectively; the plurality of capacitive sensors 10 are arranged in the bedding body 1 according to a first preset arrangement along the direction in which a human body lies; each of the capacitive sensors 10 comprises an electrode made of a flexible and extensible conductive material, and each of the electrodes made of a flexible and extensible conductive material is parallel to the direction in which the human body lies, and the capacitive sensors 10 do not contact each other.

[0044] In this embodiment, the above-mentioned posture recognition bedding is used to support the human body, and generally an elastic support layer is provided inside, such as sponge, spring, rubber, etc., including pillows, mattresses, cushions, etc., which can be used not only on beds, but also widely used in sofas, chairs, etc. A plurality of capacitive sensors 10 are distributed in the bedding body 1, and the plurality of capacitive sensors 10 are arranged in a first preset arrangement along the direction in which the human body lies, and two adjacent capacitive sensors 10 do not contact each other and are insulated from each other. When covered by a human body, the above-mentioned posture recognition bedding will sink due to force. Since the electrodes of the capacitive sensor 10 are made of flexible and extensible conductive material, the electrodes sink in the vertical direction under the action of the human body's gravity, and extend to a certain extent in the horizontal direction, and the center position of the capacitive sensor 10 will not be greatly displaced in the horizontal direction; when the human body leaves, the gravity disappears, and the electrodes of the capacitive sensor 10 are restored to the initial undeformed state in both the vertical and horizontal directions. The use of electrodes of flexible and extensible conductive material ensures that the position of the capacitive sensor 10 will not be greatly displaced in the horizontal direction, and the human body coverage information of the corresponding area can be accurately detected, greatly improving the accuracy of posture recognition. Specifically, the above-mentioned flexible and extensible conductive material is preferably a conductive sponge. The conductive sponge has a long effective period of conductivity, is not affected by temperature and humidity, and has good flexibility and strong extensibility.

[0045] When a human body covers the bedding, the capacitance signal of the capacitance sensor 10 changes, and each capacitance sensor 10 detects whether a human body covers it independently. Each capacitance sensor 10 transmits its capacitance signal to the signal acquisition module 2 independently. In this way, when a human body covers the bedding, the capacitance change of each capacitance sensor 10 collected by the signal acquisition module 2 can obtain the coverage area of ​​the human body on the above-mentioned posture recognition bedding. Then the image of the coverage area is recognized, and the posture type of the human body can be further obtained, including side-lying, supine, sitting, etc. Further, by continuously detecting the posture type of the human body on the above-mentioned posture recognition bedding, according to the continuous change of the posture type, the human body's activity intention can be identified, including such as going to bed, getting up, turning over, twitching, leaving the bed, etc. For example, by detecting a series of movements of the human body's neck leaving the bed, the back leaving the bed, and the waist leaving the bed, the human body's intention to get up can be identified.

[0046] The above-mentioned first preset arrangement can be set according to specific usage requirements. They can be evenly distributed in an array within the bedding body 1; or they can be arranged at different densities in different areas, such as distributed at a first density in the middle area of ​​the bedding body 1 and at a second density in the edge area of ​​the bedding body 1. The second density can be set to be greater than the first density, and the capacitive sensors 10 in the edge area of ​​the bedding body 1 can be used to focus on monitoring the risk of human falling. On the premise that the capacitive sensors 10 do not contact each other, the smaller the electrode area of ​​a single capacitive sensor 10 and the closer the interval between adjacent capacitive sensors 10, the more detailed and accurate the image drawing of the covered area of ​​the human body will be.

[0047] The posture recognition bedding of this embodiment is provided with a plurality of capacitive sensors 10 in the bedding body 1, and each capacitive sensor 10 contains an electrode made of a flexible and extensible conductive material; under the action of gravity when covered by a human body, the electrode made of a flexible and extensible conductive material deforms with the sinking of the posture recognition bedding, sinks in the vertical direction, and stretches to a certain extent in the horizontal direction, and the center position of the capacitive sensor 10 does not displace significantly in the horizontal direction; when the human body leaves, the action of gravity disappears, and the electrode of the capacitive sensor 10 is restored to the initial undeformed state in both the vertical and horizontal directions. The plurality of capacitive sensors 10 are arranged in an array along the direction in which the human body lies, and each capacitive sensor 10 senses the human body coverage information of the corresponding area, so that the coverage area of ​​the human body on the posture recognition bedding can be obtained, and the human body posture can be recognized according to the image of the coverage area. The use of electrodes made of flexible and extensible conductive materials makes it possible for the center position of the capacitive sensor 10 to not displace significantly in the horizontal direction, so that the human body coverage information of the corresponding area can be accurately detected, greatly improving the accuracy of posture recognition.

[0048] Reference Figure 3 In one embodiment, the capacitive sensor 10 comprises a single-layer capacitive sensor 101 , wherein the electrode of the single-layer capacitive sensor 101 is a single layer, which is denoted as a first electrode 1011 ; the first electrode 1011 of the single-layer capacitive sensor 101 is electrically connected to an AC power source 102 .

[0049] In this embodiment, the single-layer capacitive sensor 101 is a type of capacitive sensor included in the above-mentioned capacitive sensor 10. The single-layer capacitive sensor 101 is connected to an AC power supply 102, and the AC power supply 102 is a high-frequency current. When a human body approaches the first electrode 1011 of the above-mentioned first capacitor 101, since the human body is a conductor, the human body will absorb a very small current from the surface of the first electrode 1011, then the capacitance of the single-layer capacitive sensor 101 changes, and the signal acquisition module 2 collects the capacitance change information. For textiles such as quilts, since quilts are not conductors, quilts, etc. will not affect the capacitance information of the single-layer capacitive sensor 101. The single-layer capacitive sensor 101 can distinguish whether it is a human body or a textile covering the bedding body 1. The signal acquisition module 2 obtains the human body coverage area image based on the capacitance change information collected from each single-layer capacitive sensor 101, and then performs the next step of posture recognition based on the human body coverage area image.

[0050] Reference Figure 1 In one embodiment, the bedding body 1 further includes an upper fabric 3, and the upper fabric 3 is arranged above the first electrode 1011 along a direction perpendicular to a lying human body, and the thickness of the upper fabric 3 is less than a preset thickness threshold.

[0051] In this embodiment, the preset thickness threshold can be determined according to specific usage conditions. Within the preset thickness threshold, the first capacitor 101 can sensitively identify the signal of the approaching human body.

[0052] Reference Figure 4 In one embodiment, the capacitive sensor 10 further includes a double-layer capacitive sensor 111, wherein the electrodes of the double-layer capacitive sensor 111 are two layers, which are denoted as a second electrode 1111 and a third electrode 1113, and the second electrode 1111 and the third electrode 1113 are arranged opposite to each other; the second electrode 1111 and the third electrode 1113 of the double-layer capacitive sensor 111 are respectively connected to a DC power supply 112; the double-layer capacitive sensor 111 includes, from top to bottom in a direction perpendicular to a lying human body, the second electrode 1111, an elastic supporting layer 1112 and the third electrode 1113, wherein the second electrode 1111 is made of a flexible and stretchable conductive material, the elastic supporting layer 1112 is made of a flexible and stretchable insulating material, and the third electrode 1113 is made of a conductive material.

[0053] In this embodiment, the double-layer capacitive sensor 111 is another type of capacitive sensor included in the above-mentioned capacitive sensor 10. The double-layer capacitive sensor 111 is electrically connected to a DC power supply 112. When a human body is covered on the bedding body 1, due to the weight of the human body, the elastic support layer 1112 will sink, the second electrode 1111 will also sink in the vertical direction, and the distance between the second electrode 1111 and the third electrode 1113 will decrease, and the capacitance of the double-layer capacitive sensor 111 will change. The double-layer capacitive sensor 111 can detect the pressure at different positions of the human body covered area. The greater the pressure, the greater the degree of compression of the elastic support layer 1112, and the smaller the distance between the second electrode 1111 and the third electrode 1113 in the vertical direction, that is, the capacitance change of the double-layer capacitive sensor 111 corresponding to the area with greater pressure is greater, and the capacitance change of the double-layer capacitive sensor 111 corresponding to the area with less pressure is smaller. The second electrode 1111 is made of a flexible and stretchable insulating material. When covered by a human body, the second electrode 1111 follows the elastic support layer 1112 to stretch and deform, and the center position of the second electrode 1111 will not be significantly displaced in the horizontal direction, that is, the position of the second electrode 1111 relative to the third electrode 1113 in the horizontal direction will not change. The capacitance change of the double-layer capacitive sensor 111 can accurately reflect the pressure of the human body covering it.

[0054] When a human body covers the bedding body 1, different parts of the human body exert different pressures on the bedding body 1. For example, when a human body lies on its back on the bedding body 1, the back of the head, shoulders, buttocks, and heels exert greater pressure on the bedding body 1, while other parts of the human body exert a moderate pressure on the bedding body 1. The textile fabric in the area not covered by the human body exerts less pressure on the bedding body 1. Therefore, the capacitance change values ​​of each double-layer capacitive sensor 111 are also different. The signal acquisition module 2 can obtain the force distribution information on the bedding body 1 by collecting the capacitance change values ​​of each double-layer capacitive sensor 111. By analyzing the force distribution information, the human body coverage area on the bedding body 1 and the force conditions in the human body coverage area can be obtained. The force conditions in the human body coverage area can be further analyzed to obtain each force peak point in the human body coverage area. The posture type of the human body on the bedding body 1 can be determined according to the relative position distribution of each force peak point.

[0055] In specific manufacturing, the second electrode 1111 and the third electrode 1113 can be graphics with the same shape and area (such as square, circle, etc.), and are respectively arranged one by one on the elastic support layer 1112. Figure 5As shown, the second electrode 1111 and the third electrode 1113 are both in the shape of long strips, and the deployment directions of the second electrode 1111 and the third electrode 1113 are perpendicular to each other, so that the area opposite to the second electrode 1111 and the third electrode 1113 forms a double-layer capacitive sensor 111. The elastic support layer 1112 can be a part of the bedding body (such as ordinary insulating sponge, etc.); or it can be an elastic component (such as ordinary insulating sponge, etc.) that is independent of the bedding body and is placed separately during production.

[0056] In one embodiment, the third electrode 1113 is made of a flexible and extensible conductive material.

[0057] In this embodiment, the third electrode 1113 is preferably made of the same flexible and extensible conductive material as the second electrode 1111, such as a conductive sponge. It should be noted that when the thickness of the elastic support layer 1112 is greater than the preset thickness threshold, the pressure of the human body covering the bedding body 1 will not cause the third electrode 1113 to be significantly deformed, and the third electrode 1113 may also be made of other common conductive materials, such as metal. The elastic support layer 1112 may be made of a common insulating sponge.

[0058] Reference Figure 6 In one embodiment, the capacitive sensor 10 further includes a single-layer capacitive sensor 101, wherein the electrode of the single-layer capacitive sensor 101 is one layer, which is recorded as a first electrode 1011; the first electrode 1011 of the single-layer capacitive sensor 101 is electrically connected to an AC power supply 102; the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are arranged alternately in the bedding body 1 according to a second preset arrangement along the direction in which a human body lies.

[0059] In this embodiment, the above-mentioned single-layer capacitive sensor 101 and the above-mentioned double-layer capacitive sensor 111 are simultaneously deployed on the bedding body 1, and the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are staggered. The single-layer capacitive sensor 101 is used to identify whether the body covered thereon is a human body, and the double-layer capacitive sensor 111 is used to detect the force distribution of the human body covered thereon, and the posture type of the human body is determined according to the force distribution of the human body. The specific structure of the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 in this embodiment is the same as that in the previous embodiment, and will not be repeated here. The above-mentioned second preset arrangement can be set according to specific usage requirements. They can be evenly staggered in the bedding body 1; they can also be arranged according to different distribution densities, such as inserting a single-layer capacitive sensor 101 into each preset number (the preset number is greater than 2) of double-layer capacitive sensors 111; the single-layer capacitive sensors 101 and the double-layer capacitive sensors 111 can be located at different positions of the bedding body 1 in the vertical direction, for example, the first electrode 1011 of the single-layer capacitive sensor 101 is at a first distance from the upper surface of the bedding body 1, and the second electrode 1111 of the double-layer capacitive sensor 111 is at a second distance from the upper surface of the bedding body 1, and the first distance is smaller than the second distance.

[0060] Reference Figure 7 In one embodiment, the above-mentioned posture recognition bedding further includes a controller, which is electrically connected to the bedding body 1; the controller is also connected to a signal processing module, a display module and a wireless communication module.

[0061] In this embodiment, the above-mentioned controller is used to receive the signal processing results of the signal processing module, and control the posture recognition bedding to perform corresponding actions according to the signal processing results. For example, when the signal processing module determines that the distance between the human body and the edge of the posture recognition bedding is less than a preset threshold, the controller controls the posture recognition bedding to vibrate, or emits a ringtone reminder, or sends a warning message to the relevant guardian through the wireless communication module, etc. The controller can also display the signal processing results on the display module for user convenience.

[0062] Reference Figure 8 The present application also proposes a posture recognition method, using the above-mentioned posture recognition bedding, including:

[0063] S1, monitoring the capacitance value of each of the capacitive sensors 10 in real time;

[0064] S2, determining whether the capacitance value of at least one of the capacitance sensors 10 changes;

[0065] S3, if yes, then record the capacitive sensor 10 whose capacitance value changes as a pressure sensor, and obtain the capacitance change information of each pressure sensor respectively;

[0066] S4. Determine the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors.

[0067] In this embodiment, in the above steps S1 to S2, the capacitance value of each capacitance sensor 10 is detected respectively. In daily use, the capacitance value of each capacitance sensor 10 when there is no human body covering can be set as a reference value. When the capacitance value of the capacitance sensor 10 deviates from the reference value and exceeds the preset capacitance threshold, it is determined that the capacitance value has changed.

[0068] In the above steps S3 to S4, multiple capacitive sensors 10 are distributed in an array. When a human body covers the bedding body 1, the capacitance of the capacitive sensor 10 corresponding to the covered area changes, and the capacitance of the capacitive sensor 10 corresponding to the uncovered area does not change. The capacitive sensor 10 whose capacitance value changes is recorded as a pressure sensor, and the voltage change information of each pressure sensor is recorded respectively. According to the voltage change information of each pressure sensor, the coverage area of ​​the human body on the posture recognition bedding can be obtained, and the coverage area is analyzed. According to the analysis result, the posture type of the human body on the posture recognition bedding can be determined.

[0069] In the posture recognition method of this embodiment, a plurality of capacitive sensors 10 are arranged in the bedding body 1 of the posture recognition bedding, and the plurality of capacitive sensors 10 are arranged in an array along the direction in which the human body lies, and each capacitive sensor 10 senses the human body coverage information of the corresponding area, so that the coverage area of ​​the human body on the posture recognition bedding can be obtained, and the posture type of the human body can be identified according to the image of the coverage area. Each capacitive sensor 10 contains an electrode made of a flexible and extensible conductive material, so that the center position of the capacitive sensor 10 will not be greatly displaced in the horizontal direction, so that the human body coverage information of the corresponding area can be accurately detected, greatly improving the accuracy of posture recognition.

[0070] In one embodiment, the types of the capacitive sensor 10 include a single-layer capacitive sensor 101 and a double-layer capacitive sensor 111. The capacitive sensor whose capacitance value changes is recorded as a pressure sensor. The step S3 of respectively acquiring the capacitance change information of each pressure sensor includes:

[0071] S301, respectively determining the type of each of the capacitive sensors 10 whose capacitance values ​​have changed;

[0072] S302. If it is the single-layer capacitive sensor 101, each of the single-layer capacitive sensors 101 whose capacitance value changes is recorded as a first pressure sensor, and the first capacitance change information of each of the first pressure sensors is obtained; if it is the double-layer capacitive sensor 111, each of the double-layer capacitive sensors 111 whose capacitance value changes is recorded as a second pressure sensor, and the second capacitance change information of each of the second pressure sensors is obtained.

[0073] In this embodiment, in the above steps S301 to S302, when the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are deployed on the posture recognition bedding at the same time, the capacitance change information of the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are recorded and analyzed respectively. The capacitance change information of the single-layer capacitive sensor 101 is used to determine whether the posture recognition bedding is covered by a human body, and the capacitance change information of the double-layer capacitive sensor 111 is used to determine the posture type of the human body.

[0074] In one embodiment, the step S4 of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors includes:

[0075] S401, judging whether there is a human body on the posture recognition bedding according to the first capacitance change information of each of the first pressure sensors;

[0076] S402: If yes, obtaining a coverage area of ​​the human body on the posture recognition bedding according to the position of each of the second pressure sensors on the posture recognition bedding, and obtaining force distribution information in the coverage area according to the second capacitance change information of each of the second pressure sensors;

[0077] S403, analyzing the force distribution information in the coverage area to obtain each force peak information in the coverage area;

[0078] S404. Match the coverage area and each force peak information in a preset posture type database, and determine the posture type corresponding to the force coverage map according to the matching result, wherein the posture type database stores each reference posture type, as well as a mapping relationship between a reference coverage area and a reference force peak position corresponding to each reference posture type.

[0079] In this embodiment, in the above step S401, since the human body is a conductor, the human body will absorb a very small current from the surface of the first electrode 1011, and the capacitance of the first pressure sensor will change, and the signal acquisition module 2 will collect the capacitance change information. For textiles such as quilts, since quilts are not conductors, quilts and the like will not affect the capacitance information of the first pressure sensor. The first pressure sensor can distinguish whether the bedding body 1 is covered by a human body or a textile.

[0080] In the above step S402, if it is determined that there is a human body on the posture recognition bedding, the force distribution information in the coverage area is further obtained based on the second capacitance change information of each second pressure sensor. If the first pressure sensor 101 determines that there is no human body on the bedding body 1, it is also possible that the pressure formed by the accumulation of textiles and the like causes the capacitance of the second pressure sensor to change. In this case, there is no need to analyze the force distribution information.

[0081] In the above step S403, the force distribution information in the coverage area is analyzed. When the human body is covered on the bedding body 1, the pressures exerted on the bedding body 1 by various parts of the human body are different. For example, when the human body lies on its back on the bedding body 1, the pressures exerted on the bedding body 1 by the back of the head, shoulders, buttocks, and heels are relatively large, while the pressures exerted on the bedding body 1 by other parts of the human body are relatively small. Therefore, the second capacitance change information of each second pressure sensor is also different. The capacitance change of the second pressure sensor corresponding to the part with relatively large pressure is relatively large. By analyzing the force distribution information, the various force peak points in the human body coverage area on the bedding body 1 can be obtained. For example, when the human body lies on its back, the capacitance change of the second pressure sensors corresponding to the back of the head, shoulders, buttocks, and heels is relatively large, and the corresponding positions of the above parts all form corresponding force peak points.

[0082] In the above step S404, the associated information of the reference coverage area and the reference force peak position corresponding to each reference posture type is stored in the preset posture type database. By matching each force peak information obtained in step S403 in the preset posture type database, the posture whose matching degree exceeds the preset matching degree threshold is used as the posture type corresponding to the above force coverage map.

[0083] In one embodiment, after the step S4 of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors, the method further comprises:

[0084] S5, determining whether the posture type of the human body has changed;

[0085] S6: If yes, obtain the continuous change information of the posture type of the human body;

[0086] S7. Match the continuous change information in a preset activity intention database, and determine the activity intention of the human body according to the matching result, wherein the activity intention database stores the benchmark continuous change information of the posture type corresponding to each activity intention.

[0087] In this embodiment, through the above steps S5 to S7, the changes in the posture type of the human body are continuously monitored, and based on the continuous change information of the posture type, the human body's activity intentions can be identified, including going to bed, getting up, turning over, twitching, leaving bed, etc. For example, by detecting a series of movements of the human body's neck leaving the bed, the back leaving the bed, and the waist leaving the bed, the human body's intention to get up can be identified.

[0088] In another specific embodiment of the present application, when only a single-layer capacitive sensor 1001 is deployed on the bedding body 1, each of the single-layer capacitive sensors 101 whose capacitance value changes is recorded as a third pressure sensor; based on the third capacitance change information of each of the third pressure sensors, it is determined whether there is a human body on the posture recognition bedding; if so, based on the position of each of the third pressure sensors on the posture recognition bedding, the coverage area of ​​the human body on the posture recognition bedding is obtained; the graphic information corresponding to the coverage area is parsed, and the posture type corresponding to the coverage area is determined according to the parsing result of the graphic information.

[0089] In another specific embodiment of the present application, when only a double-layer capacitive sensor 111 is deployed on the bedding body 1, each of the double-layer capacitive sensors 111 whose capacitance value changes is recorded as a fourth pressure sensor; according to the position of each of the fourth pressure sensors on the posture recognition bedding, the coverage area of ​​the human body on the posture recognition bedding is obtained, and according to the fourth capacitance change information of each of the fourth pressure sensors, the force distribution information within the coverage area is obtained; the force distribution information within the coverage area is parsed to obtain each force peak information within the coverage area; the coverage area and each force peak information are matched in a preset posture type database, and the posture type corresponding to the force coverage map is determined according to the matching result, wherein the posture type database stores each reference posture type, and a mapping relationship between a reference coverage area and a reference force peak position corresponding to each reference posture type.

[0090] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A posture recognition bedding, characterized in that: The invention comprises a bedding body and a signal acquisition module, wherein the bedding body comprises a plurality of capacitive sensors, and the plurality of capacitive sensors are electrically connected to the signal acquisition module respectively; the plurality of capacitive sensors are arranged in the bedding body according to a first preset arrangement along the direction in which a human body lies; each of the capacitive sensors comprises an electrode made of a flexible and extensible conductive material, and each of the electrodes made of a flexible and extensible conductive material is parallel to the direction in which the human body lies, and the capacitive sensors do not contact each other; the electrode sinks in the vertical direction under the action of the human body's gravity and stretches to a certain extent in the horizontal direction; the capacitive sensor comprises a double-layer capacitive sensor, and the electrode of the double-layer capacitive sensor is two layers, which are recorded as a second electrode and a third electrode, and the second electrode and the third electrode are connected to each other. The three electrodes are arranged opposite to each other; the second electrode and the third electrode of the double-layer capacitive sensor are respectively connected to a DC power supply; the double-layer capacitive sensor includes the second electrode, an elastic supporting layer and the third electrode from top to bottom in a direction perpendicular to a lying human body, the second electrode is made of a flexible and extensible conductive material, the elastic supporting layer is made of a flexible and extensible insulating material, and the third electrode is made of a conductive material; the capacitive sensor also includes a single-layer capacitive sensor, the electrode of the single-layer capacitive sensor is one layer, recorded as the first electrode; the first electrode of the single-layer capacitive sensor is electrically connected to an AC power supply; the single-layer capacitive sensor and the double-layer capacitive sensor are arranged alternately in the direction of a lying human body in the bedding body according to a second preset arrangement method.

2. The posture recognition bedding according to claim 1, characterized in that: The bedding body also includes an upper fabric layer, which is arranged above the first electrode in a direction perpendicular to a lying human body, and a thickness of the upper fabric layer is less than a preset thickness threshold.

3. The posture recognition bedding according to claim 1, characterized in that: The third electrode is made of a flexible and extensible conductive material.

4. The posture recognition bedding according to any one of claims 1 to 3, characterized in that: The posture recognition bedding further includes a controller, which is electrically connected to the bedding body; the controller is also connected to a signal processing module, a display module and a wireless communication module.

5. A posture recognition method, using the posture recognition bedding according to any one of claims 1 to 4, characterized in that: include: Monitoring the capacitance value of each of the capacitive sensors in real time; Determining whether the capacitance value of at least one of the capacitive sensors changes; If yes, the capacitance sensor whose capacitance value changes is recorded as a pressure sensor, and the capacitance change information of each pressure sensor is obtained respectively; The posture type of the human body on the posture recognition bedding is determined according to the capacitance change information of each of the pressure sensors.

6. The gesture recognition method according to claim 5, characterized in that: The types of the capacitive sensors include single-layer capacitive sensors and double-layer capacitive sensors. The capacitive sensors whose capacitance values ​​change are recorded as pressure sensors. The steps of respectively acquiring capacitance change information of each pressure sensor include: Determining respectively the type of each of the capacitive sensors whose capacitance values ​​have changed; If it is a single-layer capacitive sensor, each of the single-layer capacitive sensors whose capacitance value changes is recorded as a first pressure sensor, and the first capacitance change information of each of the first pressure sensors is obtained; if it is a double-layer capacitive sensor, each of the double-layer capacitive sensors whose capacitance value changes is recorded as a second pressure sensor, and the second capacitance change information of each of the second pressure sensors is obtained.

7. The gesture recognition method according to claim 6, characterized in that: The step of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors comprises: According to the first capacitance change information of each of the first pressure sensors, it is determined whether there is a human body on the posture recognition bedding; If yes, obtaining the coverage area of ​​the human body on the posture recognition bedding according to the position of each of the second pressure sensors on the posture recognition bedding, and obtaining the force distribution information in the coverage area according to the second capacitance change information of each of the second pressure sensors; Analyzing the force distribution information in the coverage area to obtain each force peak information in the coverage area; The coverage area and each force peak information are matched in a preset posture type database, and the posture type corresponding to the force coverage map is determined according to the matching result, wherein the posture type database stores each reference posture type, as well as the mapping relationship between the reference coverage area and the reference force peak position corresponding to each reference posture type.

8. The gesture recognition method according to claim 6, characterized in that: After the step of determining the posture type of the human body on the posture recognition bedding according to the capacitance change information of each of the pressure sensors, the method further comprises: Determining whether the posture type of the human body has changed; If yes, then obtaining the continuous change information of the posture type of the human body; The continuous change information is matched in a preset activity intention database, and the activity intention of the human body is determined according to the matching result, wherein the activity intention database stores the benchmark continuous change information of the posture type corresponding to each activity intention.

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