CN210249847U - Posture identification bedding - Google Patents
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- CN210249847U CN210249847U CN201920377923.7U CN201920377923U CN210249847U CN 210249847 U CN210249847 U CN 210249847U CN 201920377923 U CN201920377923 U CN 201920377923U CN 210249847 U CN210249847 U CN 210249847U
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Abstract
The application discloses a posture recognition bedding, wherein the posture recognition bedding comprises a bedding body and a signal acquisition module, a plurality of capacitive sensors are arranged in the bedding body, and the capacitive sensors are respectively and electrically connected with the signal acquisition module; the plurality of capacitive sensors are arranged in the bedding body according to a first preset arrangement mode along the lying direction of the human body; each capacitance sensor comprises an electrode made of flexible extensible conductive material, the electrode made of flexible extensible conductive material is parallel to the lying direction of the human body, and the capacitance sensors are not in contact with each other. The method and the device can accurately detect the human body coverage information of the corresponding area, and greatly improve the accuracy of gesture recognition.
Description
Technical Field
The application relates to the technical field of sensing, in particular to a posture recognition bedding.
Background
Every person has about one fourth to one third of the time in a day as the sleep time, and the demand for monitoring the sleep quality is higher and higher, such as monitoring whether the posture of the user is comfortable in the sleeping process, whether the user is stressed at a certain part for a long time, and the like. In addition, for some specific people, such as the old, children and the like, the falling risk needs to be warned. Therefore, there is a great need for a type of monitoring of the user's posture on the bedding. There are some intelligent mattresses in the market at present, through set up pressure sensor on the mattress, the human gravity that the monitoring covered on it judges human state type according to pressurized pressure sensor's position. However, because a human body is in close contact with the mattress during sleeping, the elastic supporting layer (such as sponge) of the mattress can deform under the pressure of the human body, and the pressure sensor arranged inside the mattress can generate large displacement along with the deformation, so that the error of the pressed position detected by the intelligent mattress is large, and the human posture type result obtained by analyzing the pressed position is often inaccurate.
SUMMERY OF THE UTILITY MODEL
The purpose of this application is to provide a gesture recognition bedding, aims at solving among the prior art, the problem of the gesture of human body on bedding can't the accurate discernment.
The application provides a posture recognition bedding which comprises a bedding body and a signal acquisition module, wherein the bedding body comprises a plurality of capacitive sensors which are respectively and electrically connected with the signal acquisition module; the plurality of capacitive sensors are arranged in the bedding body according to a first preset arrangement mode along the lying direction of the human body; each capacitance sensor comprises an electrode made of flexible extensible conductive material, the electrode made of flexible extensible conductive material is parallel to the lying direction of the human body, and the capacitance sensors are not in contact with each other.
Further, the capacitive sensor comprises a single-layer capacitive sensor, and an electrode of the single-layer capacitive sensor is a layer and is marked as a first electrode; the first electrode of the single-layer capacitance sensor is electrically connected with an alternating current power supply.
Further, the bedding body further comprises an upper fabric, the upper fabric is arranged above the first electrode along the direction perpendicular to the lying direction of the human body, and the thickness of the upper fabric is smaller than a preset thickness threshold value.
Furthermore, the capacitance sensor comprises a double-layer capacitance sensor, wherein two layers of electrodes of the double-layer capacitance sensor are marked as a second electrode and a third electrode, and the second electrode and the third electrode are oppositely arranged; the second electrode and the third electrode of the double-layer capacitive sensor are respectively connected with a direct-current power supply; the double-layer capacitive sensor sequentially comprises a second electrode, an elastic supporting layer and a third electrode from top to bottom in a direction perpendicular to the lying direction of a human body, the second electrode is made of flexible extensible conducting materials, the elastic supporting layer is made of flexible extensible insulating materials, and the third electrode is made of conducting materials.
Further, the third electrode is made of a flexible extensible conductive material.
Furthermore, the capacitance sensor also comprises a single-layer capacitance sensor, wherein one layer of the electrode of the single-layer capacitance sensor is marked as a first electrode; the first electrode of the single-layer capacitive sensor is electrically connected with an alternating current power supply; the single-layer capacitive sensor and the double-layer capacitive sensor are arranged in the bedding body in a staggered mode according to a second preset arrangement mode along the lying direction of a human body.
Further, the posture recognition bedding further comprises a controller, and the controller is electrically connected with the bedding body; the controller is also connected with a signal processing module, a display module and a wireless communication module.
The beneficial effect of this application:
according to the posture recognition bedding, the plurality of capacitive sensors are arranged in the bedding body, and each capacitive sensor comprises an electrode made of a flexible extensible conductive material; under the action of gravity when a human body covers, an electrode made of a flexible extensible conductive material is adopted, the electrode deforms along with the sinking of the posture recognition bedding, sinks in the vertical direction, extends in the horizontal direction to a certain extent, and the central position of the capacitive sensor cannot be greatly displaced in the horizontal direction; when the human body leaves, the gravity action disappears, and the electrodes of the capacitance sensor are restored to the initial undeformed state in the vertical direction and the horizontal direction. The plurality of capacitive sensors are distributed in an array along the lying direction of the human body, each capacitive sensor respectively 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 is recognized according to the image of the coverage area. The electrodes made of flexible extensible conductive materials are adopted, so that the central position of the capacitive sensor cannot be greatly displaced in the horizontal direction, the human body coverage information of the corresponding area can be accurately detected, and the accuracy of posture recognition is greatly improved.
Drawings
FIG. 1 is a schematic cross-sectional view of a posture identifying bedding according to an embodiment of the present application;
FIG. 2 is a schematic plan view of a capacitive sensor distribution of a posture identifying bedding article according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a single-layer capacitive sensor according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a double-layer capacitive sensor according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a double-layer capacitive sensor according to yet another embodiment of the present application;
FIG. 6 is a schematic plan view of a capacitive sensor distribution of a gesture recognition bedding article according to yet another embodiment of the present application;
fig. 7 is a block diagram illustrating a structure of a posture-recognition bedding according to an embodiment of the present application.
Reference numerals:
1: a bedding body; 2: a signal acquisition module; 10: a capacitive sensor; 101: a single layer capacitive sensor; 102: an alternating current power supply; 1011: a first electrode; 3: an upper fabric layer; 111: a double layer capacitive sensor; 112: a direct current power supply; 1111: a second electrode; 1112: a resilient support layer; 1113: and a third electrode.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, descriptions in this application as to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit to the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1 and fig. 2, the posture-recognition bedding provided by the present application includes a bedding body 1 and a signal acquisition module 2, where the bedding body 1 includes a plurality of capacitive sensors 10 therein, and the plurality of capacitive sensors 10 are respectively electrically connected with the signal acquisition module 2; the plurality of capacitive sensors 10 are arranged in the bedding body 1 according to a first preset arrangement mode along the lying direction of the human body; each of the capacitive sensors 10 includes an electrode made of a flexible and extensible conductive material, the electrode made of the flexible and extensible conductive material is parallel to the lying direction of the human body, and the capacitive sensors 10 are not in contact with each other.
In this embodiment, the posture recognition bedding is used for supporting a human body, and generally has an elastic supporting layer, such as a sponge, a spring, a rubber, etc., inside, including a pillow, a mattress, a cushion, etc., and can be applied not only to a bed, but also to a sofa, a seat, etc. A plurality of capacitive sensor 10 of internal distribution of bedding body 1, a plurality of capacitive sensor 10 are arranged according to first predetermined arrangement along the direction that the human body couched, and two adjacent capacitive sensor 10 do not contact, and are insulating each other. When a human body covers the bed, the posture recognition bedding can sink due to stress, and because the electrodes of the capacitive sensor 10 are made of flexible extensible conductive materials, the electrodes sink in the vertical direction under the action of the gravity of the human body and extend in the horizontal direction to a certain extent, and the central position of the capacitive sensor 10 cannot be greatly displaced in the horizontal direction; when the human body leaves, the gravity disappears, and the electrodes of the capacitive sensor 10 return to the original undeformed state in both the vertical direction and the horizontal direction. The electrodes made of flexible extensible conductive materials are adopted, so that the position of the capacitive sensor 10 cannot be greatly displaced in the horizontal direction, the human body coverage information of the corresponding area can be accurately detected, and the accuracy of posture identification is greatly improved. Particularly, the flexible extensible conductive material is preferably conductive sponge, the conductive sponge has long conductive effective period, is not influenced by temperature and humidity, and has good flexibility and strong extensibility.
When a human body is covered, the capacitance signal of the capacitance sensor 10 changes, and each capacitance sensor 10 independently detects whether there is a human body covering thereon. Each capacitive sensor 10 transmits its respective capacitive signal independently to the signal acquisition module 2. When a human body covers, the coverage area of the human body on the posture recognition bedding can be obtained through the capacitance change of each capacitance sensor 10 acquired by the signal acquisition module 2. And then, the images of the covered area are identified, so that the posture types of the human body, such as lying on side, lying on back, sitting posture and the like, can be further obtained. Further, by continuously detecting the posture type of the human body on the posture identification bedding, according to the continuous posture type change, the activity attempt of the human body, such as getting on the bed, getting up, turning over, twitching, getting off the bed and the like, can be identified, for example, by detecting a series of actions of getting off the bed from the neck, the back and the waist of the human body, the getting up attempt of the human body can be identified.
The first preset arrangement mode can be set according to specific use requirements. Can be uniformly distributed in the bedding body 1 in an array way; the density can be set in different areas according to different densities, for example, the density is distributed in the middle area of the bedding body 1 with a first density, the density is distributed in the edge area of the bedding body 1 with a second density, the second density can be set to be greater than the first density, and the risk of falling of the human body is mainly monitored through the capacitive sensor 10 in the edge area of the bedding body 1. On the premise that the capacitive sensors 10 are not in contact with each other, the smaller the electrode area of a single capacitive sensor 10 is, the closer the interval between adjacent capacitive sensors 10 is, and the finer and more accurate the image of the coverage area of the human body is drawn.
In the posture identifying bedding of the embodiment, a plurality of capacitive sensors 10 are arranged in the bedding body 1, and each capacitive sensor 10 comprises an electrode made of a flexible extensible conductive material; under the action of gravity when a human body covers, an electrode made of a flexible extensible conductive material is adopted, the electrode deforms along with the sinking of the posture recognition bedding, sinks in the vertical direction, extends in the horizontal direction to a certain extent, and the central position of the capacitive sensor 10 cannot be greatly displaced in the horizontal direction; when the human body leaves, the gravity disappears, and the electrodes of the capacitive sensor 10 return to the original undeformed state in both the vertical direction and the horizontal direction. The plurality of capacitive sensors 10 are distributed in an array along the lying direction of the human body, each capacitive sensor 10 respectively 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 is recognized according to the image of the coverage area. The electrodes made of flexible extensible conductive materials are adopted, so that the central position of the capacitive sensor 10 cannot be greatly displaced in the horizontal direction, the human body coverage information of the corresponding area can be accurately detected, and the accuracy of posture recognition is greatly improved.
Referring to fig. 3, in one embodiment, the capacitive sensor 10 includes a single-layer capacitive sensor 101, where an electrode of the single-layer capacitive sensor 101 is a first electrode 1011; the first electrode 1011 of the single-layer capacitive sensor 101 is electrically connected to an ac power source 102.
In the present embodiment, the single-layer capacitive sensor 101 is one type of capacitive sensor included in the capacitive sensor 10 described above. The single-layer capacitive sensor 101 is connected to an ac power source 102, and the ac power source 102 is a high-frequency current. When a human body approaches the first electrode 1011 of the first capacitor 101, since the human body is a conductor, the human body will draw a small current from the surface of the first electrode 1011, so that the capacitance of the single-layer capacitive sensor 101 changes, and the signal acquisition module 2 acquires the capacitance change information. For textile fabrics such as quilts, since quilts are not conductors, the capacitance information of the single-layer capacitance sensor 101 is not affected by quilts. Whether a human body or a textile fabric is covered on the bedding body 1 can be distinguished through the single-layer capacitive sensor 101. The signal acquisition module 2 obtains a human body coverage area image according to the acquired capacitance change information of each single-layer capacitance sensor 101, and then performs next gesture recognition according to the human body coverage area image.
Referring to fig. 1, in an embodiment, the bedding body 1 further includes an upper fabric 3, the upper fabric 3 is disposed above the first electrode 1011 along a direction perpendicular to a lying direction of a human body, and a thickness of the upper fabric 3 is smaller than a preset thickness threshold.
In this embodiment, the preset thickness threshold may be determined according to a specific use condition, and within the preset thickness threshold, the first capacitor 101 may sensitively recognize a signal that a human body approaches.
Referring to fig. 4, in an embodiment, the capacitive sensor 10 further includes a double-layer capacitive sensor 111, where 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 oppositely disposed; the second electrode 1111 and the third electrode 1113 of the double-layer capacitive sensor 111 are respectively connected with a direct current power supply 112; the double-layer capacitive sensor 111 sequentially comprises a second electrode 1111, an elastic support layer 1112 and a third electrode 1113 from top to bottom in a direction perpendicular to the lying direction of a human body, wherein the second electrode 1111 is made of a flexible extensible conductive material, the elastic support layer 1112 is made of a flexible extensible insulating material, and the third electrode 1113 is made of a conductive material.
In the present embodiment, the double-layer capacitive sensor 111 is another type of capacitive sensor included in the capacitive sensor 10 described above. The double-layer capacitance sensor 111 is electrically connected to a dc power supply 112. When a human body covers the bedding body 1, the elastic supporting layer 1112 will sink due to the gravity of the human body, the second electrode 1111 will also sink in the vertical direction, and the distance between the second electrode 1111 and the third electrode 1113 is reduced, so that the capacitance of the double-layer capacitive sensor 111 will change. The double-layer capacitive sensor 111 can detect pressures at different positions of a human body coverage area, and the larger the pressure is, the larger the degree of compression of the elastic support layer 1112 is, and the smaller the distance between the second electrode 1111 and the third electrode 1113 in the vertical direction is, that is, the capacitance change of the double-layer capacitive sensor 111 corresponding to an area with larger pressure is larger, and the capacitance change of the double-layer capacitive sensor 111 corresponding to an area with smaller pressure is smaller. The second electrode 1111 is made of a flexible extensible insulating material, when a human body covers the second electrode 1111, the second electrode 1111 extends and deforms along with the elastic supporting layer 1112, the center position of the second electrode 1111 does not greatly displace in the horizontal direction, that is, the position of the second electrode 1111 relative to the third electrode 1113 in the horizontal direction does not change, and the capacitance change of the double-layer capacitive sensor 111 can accurately reflect the pressure condition of the human body covering the second electrode 1111.
When the human body covers on the bedding body 1, the pressure of each part of the human body to the bedding body 1 is different, for example, when the human body lies on the bedding body 1 with face upward, the pressure of the back head part, the shoulder part, the hip part and the heel part to the bedding body 1 is larger, the pressure of other human body parts to the bedding body 1 is centered, and the pressure of the textile fabric of the area without the human body covering to the bedding body 1 is smaller. Therefore, the capacitance change values of the double-layer capacitance sensors 111 are different, the signal acquisition module 2 can acquire stress distribution information on the bedding body 1 by acquiring the capacitance change values of the double-layer capacitance sensors 111, the stress distribution information is analyzed, a human body coverage area on the bedding body 1 and stress conditions in the human body coverage area can be acquired, stress conditions in the human body coverage area are further analyzed, stress peak points in the human body coverage area are acquired, and the posture type of a human body on the bedding body 1 is judged according to the relative position distribution conditions of the stress peak points.
In a specific manufacturing process, the second electrode 1111 and the third electrode 1113 may be formed in a pattern (e.g., a square shape, a circular shape, etc.) having the same shape and area, and are disposed on the elastic supporting layer 1112 in a one-to-one correspondence. As shown in fig. 5, the second electrode 1111 and the third electrode 1113 may be both in the shape of a strip, and the second electrode 1111 and the third electrode 1113 may be disposed in a direction perpendicular to each other, so that the area of the second electrode 1111 facing the third electrode 1113 forms the double-layer capacitive sensor 111. The elastic supporting layer 1112 may be a part of the bedding body (such as a common insulating sponge); or an elastic component (such as common insulating sponge and the like) which is independent from the bed body and is additionally arranged during the manufacturing process.
In one embodiment, the third electrode 1113 is made of a flexible malleable conductive material.
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 supporting layer 1112 is greater than the predetermined thickness threshold, and the pressure of the human body covering the bedding body 1 does not cause the third electrode 1113 to deform significantly, 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.
Referring to fig. 6, in an embodiment, the capacitive sensor 10 further includes a single-layer capacitive sensor 101, where an electrode of the single-layer capacitive sensor 101 is a layer and is denoted as a first electrode 1011; the first electrode 1011 of the single-layer capacitive sensor 101 is electrically connected with an alternating current power supply 102; the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are arranged in the bedding body 1 in a staggered mode according to a second preset arrangement mode along the lying direction of a human body.
In this embodiment, the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are disposed on the bedding body 1 at the same time, the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 are distributed in a staggered manner, whether the human body is covered thereon is identified by the single-layer capacitive sensor 101, the stress distribution of the human body covered thereon is detected by the double-layer capacitive sensor 111, and the posture type of the human body is determined according to the stress distribution of the human body. The specific structures of the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 in this embodiment are the same as those in the previous embodiment, and are not described herein again. The second preset arrangement mode can be set according to specific use requirements. The bed body 1 can be uniformly staggered; the arrangement can also be performed according to different distribution densities, for example, a single-layer capacitive sensor 101 is inserted into each preset number (the preset number is greater than 2) of the double-layer capacitive sensors 111; the single-layer capacitive sensor 101 and the double-layer capacitive sensor 111 may 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 a first distance from the upper surface of the bedding body 1, the second electrode 1111 of the double-layer capacitive sensor 111 is a second distance from the upper surface of the bedding body 1, and the first distance is smaller than the second distance.
Referring to fig. 7, in one embodiment, the posture recognition bedding further comprises a controller, wherein the controller is electrically connected with the bedding body 1; the controller is also connected with a signal processing module, a display module and a wireless communication module.
In this embodiment, the controller is configured to receive a signal processing result of the signal processing module, and control the posture-recognition bed to perform a corresponding action according to the signal processing result, for example, when the signal processing module determines that a distance between a human body and an edge of the posture-recognition bed is smaller than a preset threshold, the controller controls the posture-recognition bed to vibrate, or sends a ring alert, or sends a warning message to a relevant guardian through the wireless communication module, and the controller may further display the signal processing result on the display module, so that the user can look up the signal processing result conveniently.
The application also provides a posture identification method, which uses the posture identification bedding, and comprises the following steps:
s1, monitoring the capacitance value of each capacitance sensor 10 in real time;
s2, determining whether the capacitance value of at least one of the capacitive sensors 10 changes;
s3, if yes, recording the capacitance sensor 10 with the capacitance value changed as a pressure sensor, and respectively acquiring capacitance change information of each pressure sensor;
and S4, determining the gesture type of the human body on the gesture recognition bedding according to the capacitance change information of each pressure sensor.
In this embodiment, in the above steps S1 to S2, the capacitance value of each capacitive sensor 10 is detected. In daily use, the capacitance value of each capacitance sensor 10 when no human body is covered can be set as a reference value. When the capacitance value of the capacitance sensor 10 deviates from the reference value by more than the preset capacitance threshold value, it is determined that the capacitance value changes.
In the above steps S3 to S4, the plurality of capacitive sensors 10 are distributed in an array, and 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 capacitance sensors 10 whose capacitance values change are referred to as pressure sensors, and each of the pressure sensors records voltage change information. 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, the coverage area is analyzed, and the posture type of the human body on the posture recognition bedding can be judged according to the analysis result.
In the posture identifying method of the embodiment, the plurality of capacitive sensors 10 are arranged in the bedding body 1 of the posture identifying bedding, the plurality of capacitive sensors 10 are distributed in an array along the lying direction of the human body, and each capacitive sensor 10 respectively senses the human body covering information of the corresponding area, so that the covering area of the human body on the posture identifying bedding can be obtained, and the posture type of the human body can be identified according to the image of the covering area. Each capacitive sensor 10 includes an electrode made of a flexible extensible conductive material, so that the central position of the capacitive sensor 10 does not displace in the horizontal direction by a large margin, human body coverage information of a corresponding area can be accurately detected, and the accuracy of gesture recognition is greatly improved.
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 step S3 of respectively acquiring capacitance change information of each of the pressure sensors by using the capacitive sensor with a capacitance value changed as a pressure sensor includes:
s301, respectively judging the types of the capacitance sensors 10 with the changed capacitance values;
s302, if the capacitance value of each single-layer capacitive sensor 101 is the single-layer capacitive sensor 101, recording each single-layer capacitive sensor 101 with a changed capacitance value as a first pressure sensor, and acquiring first capacitance change information of each first pressure sensor; if the capacitance value of the double-layer capacitance sensor 111 is the double-layer capacitance sensor, each double-layer capacitance sensor 111 with a changed capacitance value is marked as a second pressure sensor, and second capacitance change information of each second pressure sensor is obtained.
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 disposed on the posture-recognition bed at the same time, the capacitance change information of the single-layer capacitive sensor 101 and the capacitance change information of the double-layer capacitive sensor 111 are recorded and analyzed, respectively. The capacitance change information of the single-layer capacitance sensor 101 is used for judging whether the posture recognition bedding is covered by a human body, and the capacitance change information of the double-layer capacitance sensor 111 is used for judging the posture type of the human body.
In one embodiment, the step S4 of determining the type of the posture of the human body on the posture-recognition bedding according to the capacitance variation information of each of the pressure sensors includes:
s401, judging whether a human body exists on the posture recognition bedding or not according to the first capacitance change information of each first pressure sensor;
s402, if yes, obtaining a coverage area of the human body on the posture recognition bedding according to the position of each second pressure sensor on the posture recognition bedding, and obtaining stress distribution information in the coverage area according to second capacitance change information of each second pressure sensor;
s403, analyzing the stress distribution information in the coverage area to obtain each stress peak value information in the coverage area;
s404, matching the coverage area and the stress peak value information in a preset posture type database, and determining a posture type corresponding to the stress coverage map according to a matching result, wherein each reference posture type and a mapping relation between a reference coverage area and a reference stress peak value position corresponding to each reference posture type are stored in the posture type database.
In this embodiment, in step S401, since the human body is a conductor, the human body will draw a small current from the surface of the first electrode 1011, so that the capacitance of the first pressure sensor changes, and the signal acquisition module 2 acquires the capacitance change information. For the textile fabrics such as the quilt, the quilt is not a conductor, and the quilt and the like cannot influence the capacitance information of the first pressure sensor. Whether the human body or the textile fabric covers the bedding body 1 can be distinguished through the first pressure sensor.
In the step S402, if it is determined that there is a human body on the posture-recognition bedding, the stress distribution information in the coverage area is further obtained according to the second capacitance change information of each second pressure sensor. If the first pressure sensor 101 determines that the body of the bedding article 1 is not a human body, there is a possibility that the pressure due to the accumulation of textiles or the like may change the capacitance of the second pressure sensor, and in this case, there is no need to analyze the force distribution information.
In the step S403, the stress distribution information in the coverage area is analyzed, and since the pressure of each part of the human body to the bedding body 1 is different when the human body covers the bedding body 1, for example, when the human body lies on the bedding body 1 with a face upward, the pressure of the back head, the shoulder, the hip, and the heel part to the bedding body 1 is larger, and the pressure of the other parts of the human body to the bedding body 1 is smaller. And thus the second capacitance change information of the respective second pressure sensors is also different. The capacitance change of the second pressure sensor corresponding to the part with larger pressure is larger, the stress distribution information is analyzed, and each stress peak point in the human body coverage area on the bedding body 1 can be obtained, for example, when a human body lies on back, the capacitance change of the second pressure sensor at the position corresponding to the back head, the shoulder, the hip and the heel is larger, and the corresponding stress peak points are formed at the positions corresponding to the parts.
In step S404, the correlation information of the reference coverage area and the reference stress peak position corresponding to each reference posture type is stored in the preset posture type database. Matching each stress peak value information obtained in the step S403 in a preset posture type database, and taking the posture with the matching degree exceeding a preset matching degree threshold as the posture type corresponding to the stress coverage map.
In one embodiment, after the step S4 of determining the type of the posture of the human body on the posture-recognition bedding according to the capacitance variation information of each of the pressure sensors, the method includes:
s5, judging whether the posture type of the human body changes or not;
s6, if yes, acquiring continuous change information of the posture type of the human body;
and S7, matching the continuous change information in a preset movable enterprise database, and determining the activity attempts of the human body according to the matching result, wherein the movable enterprise database stores the reference continuous change information of the posture type corresponding to each activity attempt.
In this embodiment, the change of the posture type of the human body is continuously monitored through the above steps S5 to S7, and the movement attempt of the human body, such as getting up, turning over, twitching, getting out of bed, etc., can be recognized according to the continuous change information of the posture type, and for example, the movement attempt of the human body can be recognized by detecting a series of actions of getting out of bed at the neck, back and waist of the human body.
In another specific embodiment of the present application, when only a single-layer capacitive sensor 1001 is disposed on the bedding body 1, each single-layer capacitive sensor 101 with a changed capacitance value is recorded as a third pressure sensor; judging whether a human body exists on the posture recognition bedding or not according to third capacitance change information of each third pressure sensor; if so, obtaining a coverage area of the human body on the posture recognition bedding according to the position of each third pressure sensor on the posture recognition bedding; and analyzing the graphic information corresponding to the coverage area, and judging the gesture type corresponding to the coverage area according to the analysis result of the graphic information.
In another specific embodiment of the present application, when only the double-layer capacitive sensor 111 is disposed on the bedding body 1, each of the double-layer capacitive sensors 111 with a changed capacitance value is denoted as a fourth pressure sensor; obtaining a coverage area of the human body on the posture recognition bedding according to the position of each fourth pressure sensor on the posture recognition bedding, and obtaining stress distribution information in the coverage area according to fourth capacitance change information of each fourth pressure sensor; analyzing the stress distribution information in the coverage area to obtain each stress peak value information in the coverage area; and matching the coverage area and the stress peak value information in a preset posture type database, and determining the posture type corresponding to the stress coverage map according to the matching result, wherein each reference posture type and the mapping relation between the reference coverage area and the reference stress peak value position corresponding to each reference posture type are stored in the posture type database.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (7)
1. The posture recognition bedding is characterized by comprising a bedding body and a signal acquisition module, wherein the bedding body comprises a plurality of capacitive sensors which are respectively and electrically connected with the signal acquisition module; the plurality of capacitive sensors are arranged in the bedding body according to a first preset arrangement mode along the lying direction of the human body; each capacitance sensor comprises an electrode made of flexible extensible conductive material, the electrode made of flexible extensible conductive material is parallel to the lying direction of the human body, and the capacitance sensors are not in contact with each other.
2. The posture-recognition bedding as claimed in claim 1, wherein the capacitive sensor comprises a single-layer capacitive sensor, and the electrode of the single-layer capacitive sensor is a layer and is denoted as a first electrode; the first electrode of the single-layer capacitance sensor is electrically connected with an alternating current power supply.
3. The posture-recognition bedding as claimed in claim 2, wherein the bedding body further comprises an upper fabric, the upper fabric is disposed above the first electrode in a direction perpendicular to a lying direction of the human body, and a thickness of the upper fabric is smaller than a preset thickness threshold.
4. The posture-recognition bedding as claimed in claim 1, wherein the capacitive sensor comprises a double-layer capacitive sensor, the electrodes of the double-layer capacitive sensor are two layers, and are denoted as a second electrode and a third electrode, and the second electrode and the third electrode are oppositely arranged; the second electrode and the third electrode of the double-layer capacitive sensor are respectively connected with a direct-current power supply; the double-layer capacitive sensor sequentially comprises a second electrode, an elastic supporting layer and a third electrode from top to bottom in a direction perpendicular to the lying direction of a human body, the second electrode is made of flexible extensible conducting materials, the elastic supporting layer is made of flexible extensible insulating materials, and the third electrode is made of conducting materials.
5. The posture-recognition bedding set forth in claim 4 wherein the third electrode is made of a flexible, malleable, conductive material.
6. The posture-recognition bedding as claimed in claim 4, wherein the capacitive sensor further comprises a single-layer capacitive sensor, and the electrode of the single-layer capacitive sensor is a layer and is denoted as a first electrode; the first electrode of the single-layer capacitive sensor is electrically connected with an alternating current power supply; the single-layer capacitive sensor and the double-layer capacitive sensor are arranged in the bedding body in a staggered mode according to a second preset arrangement mode along the lying direction of a human body.
7. The posture-recognition bedding as claimed in any one of claims 1 to 6, further comprising a controller, wherein the controller is electrically connected with the bedding body; the controller is also connected with a signal processing module, a display module and a wireless communication module.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109984749A (en) * | 2019-03-22 | 2019-07-09 | 杨松 | Gesture recognition bed necessaries and gesture recognition method |
CN112686133A (en) * | 2020-12-28 | 2021-04-20 | 科大讯飞股份有限公司 | Human body posture recognition system, method, related equipment and readable storage medium |
CN114089858A (en) * | 2021-10-18 | 2022-02-25 | 珠海格力电器股份有限公司 | Cloth base material, production method thereof and pressure detection method |
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2019
- 2019-03-22 CN CN201920377923.7U patent/CN210249847U/en active Active
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109984749A (en) * | 2019-03-22 | 2019-07-09 | 杨松 | Gesture recognition bed necessaries and gesture recognition method |
CN112686133A (en) * | 2020-12-28 | 2021-04-20 | 科大讯飞股份有限公司 | Human body posture recognition system, method, related equipment and readable storage medium |
CN114089858A (en) * | 2021-10-18 | 2022-02-25 | 珠海格力电器股份有限公司 | Cloth base material, production method thereof and pressure detection method |
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