Bedding and method capable of detecting sleeping posture

Abstract

The present technology relates to a bedding capable of detecting a sleeping posture and a method, comprising: a main body part 1 in which an airbag 5 is provided, the shape of the main body part 1 having a front end surface for the shoulder of a sleeping user to approach; the shoulder sensor group comprises a plurality of 2 / 3 shoulder sensors which are arranged in an array shape along the long side direction of the front side end surface; the controller 6 is connected to the air bag 5 and the shoulder sensor set, the sleeping posture of the user is judged according to the detection result of the shoulder sensor set, and then inflation and deflation of the air bag are adjusted to change the height of the main body part 1, and the front side end face has a downward and inward contracting shape when viewed from the side in the long side direction of the front side end face. The shoulder sensor group is positioned at a downward adduction position of the front side end face, so that the shoulders of the user lying on the side can be close to the shoulder sensor group.

Description

Technical Field

[0001] The present disclosure relates to the field of smart home. More specifically, the present disclosure relates to bedding and a method capable of detecting sleeping posture. Background Art

[0002] In recent years, in the field of health care, it is well known that sleep has become a key factor affecting health, and people pay more and more attention to sleep year by year. As a smart home solution, with the rapid intelligence of pillows, mattresses and other bedding involved in the sleep industry, whether in specific professional institutions such as medical care and elderly care or in the daily consumption field of ordinary residents, the requirements for helping to eliminate sleep disorders caused by various factors and improving the sleep quality of sub-healthy people are increasing, so a variety of smart pillows, smart mattresses and other smart bedding are emerging in an endless stream.

[0003] From an ergonomic point of view, the physiological curves of the human body are different when lying on the back and lying on the side. Regarding the height of bedding such as pillows, according to statistical laws, it is roughly based on the zygomatic-shoulder distance when lying on the side, and based on the neck-back distance when lying on the back. Especially for adults, there is often a large gap between the zygomatic-shoulder distance and the neck-back distance. In order to maintain the natural curvature of the spine, a lower pillow is needed when lying on the back, and a higher pillow is needed when lying on the side, so a pillow with a fixed height cannot be suitable for both sleeping positions at the same time. In response to this, the prior art proposes a partitioned pillow design, which sets a higher side-lying area and a lower supine area to meet the needs of different sleeping positions.

[0004] The human body is in a quasi-static state during sleep, and maintaining a specific static posture for a long time will lead to poor local blood circulation in the human body, and the brain will immediately issue a command to turn over to improve discomfort. Medical research has found that normal people adjust their sleeping posture about every half an hour on average during sleep. In the use of the above-mentioned partitioned pillows, since people will unconsciously turn over frequently during sleep and it is difficult to always correspond to the correct partition, in practice, a smart pillow that can automatically adjust the height according to the person's sleeping posture becomes a better solution. Therefore, in order to realize the adaptive adjustment function as the core function of smart bedding, real-time and accurate detection of various sleeping postures including side sleeping, supine lying, etc., is of great significance for the automatic adjustment of the shape of smart bedding, as well as a variety of automatic intervention functions including snoring control.

[0005] In the existing sleeping posture detection technology, as a detection method outside the bedding, for example, it includes: sensing body posture through wearable devices, such as three-axis accelerometers; image recognition through cameras; analyzing pressure distribution through pressure sensor arrays arranged on the mattress; or detecting carbon dioxide concentration, body temperature or infrared signals. However, the above-mentioned external bedding detection technologies all have defects. For example, the accelerometer needs to be worn with the user, and the user experience is not good; camera shooting and image recognition will cause concerns about personal privacy; the arrangement of pressure sensor arrays on the mattress leads to an increase in equipment and its limited scope of use; detection based on physiological indicators often requires real-time monitoring, which has high requirements for equipment, resulting in high costs and unstable detection accuracy. Therefore, in practice, it is more preferable to realize sleeping posture detection inside the body of bedding such as pillows.

[0006] As a way to detect sleeping posture inside bedding, the current mainstream technology is based on pressure detection. The detection parts include, for example, the head and neck of the human body, the back of the shoulders and upper back when lying on the back, and the upper arm side and acromion area when lying on the side. The types of sensors used include, for example: switch-type sensors, which make judgments by detecting the presence or absence of pressure; piezoresistive sensors, the greater the pressure, the smaller its resistance and the larger its measured value; piezoelectric sensors, which are sensitive to pressure changes and can be used to collect physiological information such as cardiac microvibration signals; air pressure sensors, which indirectly detect pressure by measuring the changes in air pressure in the airbag; capacitive sensors, including two types: two-chip and single-chip. The two-chip type forms a capacitor through a compressible insulating layer between the positive and negative electrodes. The greater the pressure, the greater the capacitance. The single-chip type forms a capacitor based on the fit between the sensor and the human body. The tighter the fit, the greater the capacitance.

[0007] Regarding the type of detection data used as the basis for determining sleeping posture, according to the detection principle, it can be roughly divided into, for example, pressure area, total pressure size, and pressure spatial distribution. In the case of using pressure area data, the pressure is different mainly due to the different pressure areas when lying on the back and side, and the pressure area is indirectly judged by, for example, the time of inflating the detection airbag, or the number of switch-type sensors opened due to pressure, etc. However, there are problems such as affecting the sleeping experience, poor real-time performance, and low accuracy; in the case of using total pressure size data, it is mainly based on the difference in downward pressure on the head when lying on the back and side, but the downward pressure on the head is easily affected by the change in the relative position relationship between the human body and the bedding, the height of the bedding itself, the interference of internal components, and even bedding including pillowcases, which can easily lead to low accuracy.

[0008] On the other hand, when using pressure spatial distribution data for sleeping posture detection, the judgment is mainly based on the difference in spatial distribution of shoulder and back pressure when lying on the back and side, which can avoid the disadvantages of the above two situations and thus become a more accurate and reliable data type in actual use scenarios. In the prior art, there is a solution to measure shoulder pressure by extending a strip piezoresistive sensor from the side of bedding such as a pillow close to the human shoulder, but the configuration of the strip sensor will cause the user to feel a foreign body when lying on the side, especially because the shoulder is blocked by the sensor and cannot fit comfortably to the side and lower position of the pillow, thus affecting the sleeping experience; in addition, due to the long-term compression of the user's shoulder, the life of the sensor will be affected.

[0009] In view of this, the industry is in urgent need of an improved bedding with a sleeping posture detection and adaptive adjustment mechanism that can simultaneously achieve high sleeping posture detection accuracy, low cost and user-friendliness. Summary of the invention

[0010] In response to the above-mentioned problems with existing sleeping posture detection technologies, researchers in this field have conducted in-depth research and development and proposed improved sleeping posture detection and adaptive adjustment solutions, including bedding and methods that can detect sleeping posture based on shoulder pressure.

[0011] A brief overview of the disclosure is given below in order to provide a basic understanding of some aspects of the disclosure. However, it should be understood that this overview is not an exhaustive overview of the disclosure. It is not intended to identify the key or important parts of the disclosure, nor is it intended to limit the scope of the disclosure. Its purpose is simply to give some concepts of the disclosure in a simplified form as a prelude to a more detailed description given later.

[0012] According to one aspect of the present disclosure, a bedding capable of detecting sleeping posture is provided. The bedding may include: a main body, in which an airbag is provided, and the shape of the main body has a front end surface for the shoulders of a sleeping user to approach; a shoulder sensor group, including a plurality of shoulder sensors, arranged in an array along the long side direction of the front end surface; a controller, connected to the airbag and the shoulder sensor group, judging the sleeping posture of the user according to the detection results of the shoulder sensor group, and then adjusting the inflation and deflation of the airbag to change the height of the main body, wherein the front end surface has a downwardly retracted shape when viewed from the side along the long side direction of the front end surface, and the shoulder sensor group is positioned at the downwardly retracted position of the front end surface, so that the shoulders of the user lying on their side can be close to the shoulder sensor group.

[0013] According to another aspect of the present disclosure, a method for detecting sleeping posture is provided, using the bedding as described above, the method may include: a sleeping posture judgment step, wherein the controller judges the sleeping posture of the user based on the detection results of the shoulder sensor group; and a height adjustment step, wherein the controller adjusts the inflation and deflation of the airbag to change the height of the main body based on the sleeping posture of the user judged in the sleeping posture judgment step.

[0014] According to another aspect of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium may store executable instructions, and when the executable instructions are executed by an information processing device, the information processing device executes the steps of the method for detecting sleeping posture according to the above another aspect of the present disclosure.

[0015] According to another aspect of the present disclosure, a device capable of detecting a sleeping position is provided. The device capable of detecting a sleeping position may include: a memory having instructions stored thereon; and a processor configured to execute the instructions stored on the memory to perform the steps of the method capable of detecting a sleeping position according to the above another aspect of the present disclosure.

[0016] According to another aspect of the present disclosure, a computer program product is provided. The computer program product may include a computer program / instruction, and when the computer program / instruction is executed by a processor, the steps of the method for detecting sleeping posture according to the above another aspect of the present disclosure are implemented.

[0017] According to the technical solution disclosed in the present invention, the front end surface of the bedding is designed to have a downward inward shape, and the shoulder sensor group arranged in an array along the long side direction of the front end surface is positioned at the downward inward position of the front end surface, so that the shoulders of the user lying on the side can be close to the shoulder sensor group, thereby reducing costs while ensuring the accuracy of sleeping position detection, and improving the user's comfort without causing any discomfort to the sleeping body, which helps to assist the operation of smart bedding as a whole, thereby better improving the user's sleep quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which constitute a part of the specification, describe embodiments of the present disclosure and are used to explain the principles of the present disclosure together with the specification. For those skilled in the art, other technical solutions can be derived from these drawings and their descriptions without paying creative work.

[0019] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0020] Figure 1 is an exemplary schematic diagram of bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0021] Figure 2 It is a schematic shape example of the front side end surface of the bedding according to the embodiment of the present disclosure.

[0022] Figure 3 An exemplary schematic diagram showing measurement data of a shoulder sensor according to an embodiment of the present disclosure is shown.

[0023] Figure 4 is an exemplary schematic diagram of the configuration of a shoulder sensor of bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0024] Figure 5 is an exemplary schematic diagram of the configuration of a shoulder sensor of bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0025] Figure 6 is an exemplary schematic diagram of the configuration of a shoulder sensor of bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0026] Figure 7 4 is an exemplary schematic diagram of a configuration of a neck sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0027] Figure 8 4 is an exemplary schematic diagram of a configuration of a neck sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0028] Fig. 9 4 is an exemplary schematic diagram of a configuration of a neck sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure.

[0029] Fig.10 is an exemplary overall flow chart of a method for detecting sleeping posture according to an embodiment of the present disclosure.

[0030] Fig.11 is an exemplary flow chart of a sleeping posture determination step of a sleeping posture detection method according to an embodiment of the present disclosure. Reference numerals

[0031] 1: Main body; 2: Capacitive sensor; 3: Piezoresistive sensor; 4: Neck capacitive sensor; 4': Neck piezoresistive sensor; 5: Airbag; 6: Controller; 10: Pillow. DETAILED DESCRIPTION

[0032] The preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement of the components, etc., numerical expressions and numerical values ​​described in these embodiments do not limit the scope of the present disclosure. At the same time, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The following description of at least one exemplary embodiment is actually only illustrative and is not intended to limit the present disclosure and its application or use.

[0033] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0034] For ease of understanding and explanation, pillows, mattresses, etc. are mainly used as examples of bedding that can detect sleeping postures according to the embodiments of the present disclosure, but this is not restrictive. Those skilled in the art can understand that the technical spirit of the present disclosure can be applied not only to any currently known suitable bedding, but also to any suitable bedding in the future.

[0035] Next, refer to Figure 1 , a schematic configuration example of a bedding structure capable of detecting sleeping posture according to an embodiment of the present disclosure is described. In the following, for convenience, a pillow is mainly used as an example of bedding for description, but this is non-restrictive. Figure 1 From top to bottom, (a) shows a schematic perspective view of the overall structure of the pillow 10 as a bedding, (b) shows a schematic top view of the pillow 10, (c) shows a schematic side view of the shape of the pillow 10 when the user lies on his back, and (d) shows a schematic side view of the shape of the pillow 10 when the user lies on his side.

[0036] Reference Figure 1 The bedding capable of detecting sleeping posture according to the embodiment of the present disclosure may include: a main body 1, in which an airbag 5 is arranged, the outer shape of the main body 1 having a front end surface for the shoulders of a sleeping user to approach; a shoulder sensor group, including a plurality of shoulder sensors 2 and / or 3, arranged in an array along the long side direction of the front end surface; a controller 6, connected to the airbag 5 and the shoulder sensor group, for judging the sleeping posture of the user according to the detection result of the shoulder sensor group, and then adjusting the inflation and deflation of the airbag 5 to change the height of the main body 1, wherein the front end surface has a downwardly retracted shape when viewed from the side along the long side direction of the front end surface, and the shoulder sensor group is positioned at the downwardly retracted position of the front end surface, so that the shoulders of the user lying on their side can be close to the shoulder sensor group.

[0037] More specifically, the controller 6 may include a memory and a processor coupled to the memory, and the controller 6 may be connected to a barometer (not shown), which may be connected to the airbag 5 through, for example, an air tube (not shown) to detect the air pressure of the airbag 5. The controller 6 inflates and deflates the airbag 5 through the air tube to change the height of the pillow 10 based on the air pressure detection result from the barometer and the sleeping posture of the user determined based on the detection result of the shoulder sensor group. The barometer and the air tube may be integrated inside the main body 1 without affecting the detection and control.

[0038] Regarding the shape of the bedding of the embodiment of the present disclosure, Figure 1 As shown in (b), in the schematic top view of the bedding, the main body 1 is shown as the top surface mainly used to support the user's head. In the case where the bedding is a pillow 10, the long side direction of the right side of the top surface is the side close to the shoulder of the sleeping user. In the long side direction of the right side of the top surface, a front side end surface for the shoulder of the sleeping user to approach is formed between the bed surface, and the long side direction of the right side of the top surface is the same as the long side direction of the front side end surface. Next, Figure 2 Schematic modeling examples of the front side end surface of the bedding of the embodiment of the present disclosure are shown, wherein (a) and (b) respectively show the user lying on his back and lying on his side. Figure 2 As shown in the bold lines of (a) and (b), when viewed from the side along the long side of the front end face, the front end face is not directly perpendicular to the bed surface, but is designed to have a downwardly retracted shape, so that the shoulder sensor group is positioned at the downwardly retracted position of the front end face, i.e., the portion shown by the bold lines. Figure 2 As shown in (b), the downwardly inwardly retracted structure of the front end surface enables the shoulders of the user lying on their side to naturally come close to the shoulder sensor group, thereby abutting against and pressing the front end surface.

[0039] The following is a brief introduction to the principles of the sleeping posture detection technology disclosed in the present invention in conjunction with the accompanying drawings. Due to the effect of gravity, the shape of the parts of the sleeping body that come into contact with the bedding, including the shoulders, neck, and back, varies depending on the different sleeping postures such as supine and side-lying. The distribution of the unit area pressure (i.e., pressure) of the shoulders, neck, etc. on bedding such as pillows or mattresses presents significantly different patterns. Among them, when lying on the side, in order to make the pillow 10 better support the side of the neck, the shoulder will naturally press against and press the front end surface; when the front end surface presents as shown in Figure 2When the overall convex shape is shown, the shoulder may even be stuffed into the gap between the pillow and the bed surface, that is, the downwardly retracted position below the front end surface during sleep. At this time, in the shoulder sensor group arranged in an array along the long side direction of the front end surface, the pressure of several compressed sensors located in the long side direction is relatively large due to the pressure squeezed by the shoulders and detects a large pressure value, while the pressure value detected by the uncompressed sensors is almost zero, and the spatial distribution of pressure is relatively concentrated and the pressure value is relatively large. On the other hand, when lying on your back, the shoulder only leans against the front end surface of the pillow relatively gently, and the shoulder sensor group as a whole is less squeezed by the shoulder, the pressure value is very small and the pressure distribution is relatively dispersed. Through the novel design of the downwardly retracted front end surface of the bedding, combined with the shoulder sensor group positioned in coordination with it, it is possible to strengthen the law of different pressure distribution when lying on your back and lying on your side, thereby more accurately detecting the sleeping position.

[0040] The inventors of this application have further studied the characteristics of different types of sensors and selected appropriate sensor types to detect sleeping positions more accurately. As preferred sensor types, two types such as piezoresistive sensors and capacitive sensors with high cost performance are considered. Among them, the piezoresistive sensor can directly reflect the squeezing force between the shoulder and the front end face; as a capacitive sensor, if a single-chip sensor is used, as mentioned above, it forms a capacitor between the single-chip sensor and the human body. The smaller the distance between the sensor and the human body, the larger the capacitance, thereby reflecting the degree of fit between the shoulder and the front end face, thereby indirectly reflecting the squeezing force between the shoulder and the front end face.

[0041] For ease of explanation, Figure 1 FIG. 4 shows a case where the shoulder sensor group includes both a capacitive sensor group and a piezoresistive sensor group, but in fact, the shoulder sensor group only needs to include at least one of the capacitive sensor group and the piezoresistive sensor group. Figure 1As shown, the capacitive sensor group includes a plurality of capacitive sensors 2 arranged in an array along the long side direction of the front side end face, and the piezoresistive sensor group includes a plurality of piezoresistive sensors 3 arranged in an array along the long side direction of the front side end face. In the case of using piezoresistive sensors, in order to better collect the extrusion force between the shoulder and the front side end face, it is preferred to arrange the piezoresistive sensors close to the position where the extrusion deformation is larger when the shoulder and the front side end face interact, such as the protruding position of the front side end face when viewed from the side. In the case of using capacitive sensors, in order to better distinguish whether the shoulder is in contact with the front side end face, it is desired to make the distance between the two as large as possible when they tend to separate, such as when lying on the back. In other words, it is best to arrange the capacitive sensors relatively far away from the position where the shoulder and the front side end face are easily accessible in various sleeping positions, that is, relatively far away from the protruding position of the front side end face when viewed from the side, that is, arranged at a relatively lower position. Therefore, it is preferred that the piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front side end face.

[0042] The following reference Figure 3 The following are examples of measurement data when using a piezoresistive sensor group and a capacitive sensor group, respectively. (a) to (d) show the pressure measurement data when using a piezoresistive sensor in side-lying and supine lying, and when using a capacitive sensor in side-lying and supine lying. In each figure, the first row of data is the sensor number, and the second row of data is the measurement value. For ease of visualization, the pressure distribution is shown in the form of a bar graph corresponding to each pressure measurement value. Figure 3 From the comparison of (a) when lying on the side and (b) when lying on the back, it can be seen that when lying on the side, the contact area between the shoulder and the front end surface of the pillow body is significantly smaller than that when lying on the back, resulting in significantly larger pressure per unit area, and the pressure value of the unpressurized part drops sharply, showing a clear spatial distribution of concentrated pressure; when lying on the back, the head and neck are mainly supported by the top surface of the pillow body and only a slight pressure is applied to the piezoresistive sensor at the front end. The shoulders on both sides, especially the acromion, are relatively gently close to the front end surface and apply similar or slightly larger pressure, presenting an overall pattern of small pressure amplitude and dispersed distribution.

[0043] On the other hand, from the use of capacitive sensors Figure 3From the comparison of (c) when lying on the side and (d) when lying on the back, it can be seen that when lying on the side, although the capacitive sensor is positioned lower than the piezoresistive sensor, the shoulder is in close contact with the front end and even gets stuck in the downward and inward position below the front end surface, that is, the gap between the pillow and the bed surface. At this time, in the narrow part where the shoulder is in close contact with the front end surface of the pillow, several capacitive sensors can detect a larger capacitance as the pressure value; when lying on the back, since the shoulder is far away from the capacitive sensor, the capacitance is very small, and the overall pattern is low-amplitude and sporadic distribution, and the overall value may even be 0.

[0044] Those skilled in the art will understand that Figure 3 The pressure measurement values ​​in the figure are only examples, which are used to better present the spatial distribution of pressure under various sleeping positions, and do not represent a specific proportional relationship between the measurement values ​​of the piezoresistive sensor and the capacitive sensor. In other words, depending on the differences in sensor characteristics in the actual use environment, the differences in the user's body shape and weight, the relative position changes between the pillow and the human body (including left and right, up and down), the adjustment of the pillow height, the interference of the smart components inside the pillow, and the influence of bedding such as pillowcases, for example, the spatial distribution of the piezoresistive sensor measurement values ​​when lying on the side may also be more concentrated than the spatial distribution of the capacitive sensor measurement values.

[0045] The following reference Figures 4 to 6 The configuration of the shoulder sensor of the bedding capable of detecting sleeping posture according to the embodiment of the present disclosure is described in detail. Specifically, the shoulder sensor group of the bedding, i.e., the pillow 10, as the embodiment of the present disclosure includes at least one of a capacitive sensor group and a piezoresistive sensor group, the capacitive sensor group includes a plurality of capacitive sensors 2 arranged in an array along the long side direction of the front side end surface, the piezoresistive sensor group includes a plurality of piezoresistive sensors 3 arranged in an array along the long side direction of the front side end surface, and the piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front side end surface.

[0046] Figure 4 This is an exemplary schematic diagram of the configuration of the shoulder sensor of the bedding that can detect the sleeping position according to the embodiment of the present disclosure, (a) to (d) respectively show the top view of the main body of the pillow 10, the side view when the user lies on his back along the long side direction of the top surface (i.e., the long side direction of the front side end surface), the side view when the user lies on his side, and the side view of the front side end surface observed along the short side direction of the top surface. Among them, as the shoulder sensor group, only a piezoresistive sensor group including a plurality of piezoresistive sensors 3 arranged in an array along the long side direction of the front side end surface is provided. For example, the piezoresistive sensor group can be positioned in a range of, for example, about 15° upward to about 30° downward from the horizontal direction.

[0047] Figure 5is an exemplary schematic diagram of a configuration of a shoulder sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure, and Figure 4 Similarly, (a) to (d) sequentially show a top view of the main body of the pillow 10 , a side view when the user lies on his back, a side view when the user lies on his side, and a side view of the front end surface. Figure 4 The difference is that, as the shoulder sensor group, a capacitive sensor group including a plurality of capacitive sensors 2 arranged in an array along the long side direction of the front end surface is provided instead of the piezoresistive sensor group. For example, the capacitive sensor group can be positioned within a range of, for example, about 30° downward to about 90° downward from the horizontal direction. Figure 4 In comparison, it can be seen that the piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front end surface.

[0048] Figure 6 is an exemplary schematic diagram of a configuration of a shoulder sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure, and Figure 4 and Figure 5 Similarly, (a) to (d) sequentially show a top view of the main body of the pillow 10 , a side view when the user lies on his back, a side view when the user lies on his side, and a side view of the front end surface. Figure 4 and Figure 5 The difference is that, as the shoulder sensor group, a combination of the capacitive sensor group and the piezoresistive sensor group is provided, wherein the piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front end face. At this time, in the sleeping position detection work, the controller 6 can perform the following two-level detection: first, the sleeping position of the user is judged according to the detection result of the capacitive sensor group. If it is judged that the user is lying on the side, the sleeping position of the user is finally judged as lying on the side; otherwise, the controller 6 further judges according to the detection result of the piezoresistive sensor group. If it is judged that the user is lying on his back, the sleeping position of the user is finally judged as lying on his back, otherwise it is judged as lying on his side. This is because, because the capacitive sensor group is positioned relatively low, the measured value is almost 0 when lying on his back, and once the user is in a side-lying state, the measured value will be significantly larger, so it is basically impossible to misjudge lying on the back as lying on the side, and the accuracy when judging it as lying on the side is close to 100%. However, depending on the configuration position of the capacitive sensor group, for example, when it is configured very low, if the user is lying on their side, the sensing may not be sufficient, and there is a possibility that the side-lying position may be misjudged as lying on the back; in this case, it is necessary to combine the detection of the piezoresistive sensor group for secondary judgment. Through such two-level detection, the accuracy of sleeping position detection can be improved.

[0049] See Figure 3The example of the measurement data of the shoulder sensor shown in the figure, the controller 6 can pre-set different discrimination thresholds for side lying and supine lying as sleeping posture discrimination parameters, and discriminate the sleeping posture according to the discrimination threshold. In addition, as mentioned above, due to the influence of multiple variables such as differences in sensor characteristics in the actual use environment, differences in user body shape and weight, and changes in the relative position of the pillow and the human body, the spatial distribution of pressure measurement values ​​under different sleeping postures will change. In this regard, the controller may include an intelligent learning module, which enables the user to participate in sleeping posture detection learning, and adjusts the sleeping posture discrimination parameters suitable for the user according to the actual pressure distribution of the user in supine and side lying. For example, the supine / side lying data of each specific user can be collected with the help of an artificial intelligence AI algorithm, and the spatial distribution of pressure measurement values ​​of each different user in supine and side lying can be learned, and the sleeping posture discrimination parameters suitable for the user can be adjusted to train a personalized model, so that a more accurate real-time sleeping posture determination result for the user can be obtained.

[0050] In addition, the appropriate pillow height for different sleeping positions can be recommended based on physiological parameters including the user's height, weight, shoulder width, back thickness, cervical curvature, and the softness and hardness of the mattress, and the inflation and deflation of the airbag for different sleeping positions can be controlled according to the recommended pillow height, ultimately further improving the user's sleep quality.

[0051] In addition to the shoulder sensor group, the bedding according to the embodiment of the present disclosure may also include a neck sensor, which is connected to the controller 6 and is configured along the long side direction of the front end surface. When viewed from the side along the long side direction of the front end surface, it is positioned higher than the shoulder sensor group, so that the neck of a sleeping user can be close to the neck sensor.

[0052] The following reference Figures 7-9 The configuration of the neck sensor of the bedding capable of detecting sleeping posture according to the embodiment of the present disclosure is described in detail. Specifically, the neck sensor of the pillow 10 as the bedding according to the embodiment of the present disclosure is generally configured in a strip shape along the long side direction of the front end surface. The controller 6 determines whether the user is off the pillow based on the detection result of the neck sensor. When it is determined that the user is off the pillow, the controller 6 does not control the inflation and deflation of the airbag 5.

[0053] Specifically, for example, Figure 7is an exemplary schematic diagram of the configuration of the neck sensor of the bedding capable of detecting sleeping posture according to an embodiment of the present disclosure, wherein (a) to (d) sequentially show a side view of the pillow 10 observed along the long side direction of the top surface, a side view of the front end surface observed along the short side direction of the top surface, a top view of the top surface of the main body 1, and a stereoscopic view of the overall structure of the pillow 10. As the shoulder sensor group, only a piezoresistive sensor group including a plurality of piezoresistive sensors 3 is provided, which corresponds to Figure 4 The configuration of the shoulder sensor group shown in the figure. At this time, the neck sensor is a neck piezoresistive sensor group including each neck piezoresistive sensor 4' extending upward in a strip shape from each piezoresistive sensor 3 in the piezoresistive sensor group along the short side direction of the front end face, forming a structure formed by merging the neck piezoresistive sensor 4' for pillow departure detection and the piezoresistive sensor 3 in the shoulder sensor group. In this case, the area of ​​the neck piezoresistive sensor 4' can be designed to be very small, which will basically not affect the measurement of the piezoresistive sensor 3, and will not affect the detection of supine and side lying. The distance between two adjacent neck piezoresistive sensors 4' is designed to be small enough, for example, less than 6 cm, thereby ensuring that when the user is on the pillow, the neck will definitely touch the neck sensor, so that the measured value (pressure) is greater than 0; when the user is off the pillow, the measured value is 0. In this way, it is possible to conveniently and accurately judge whether the user is off the pillow.

[0054] Figure 8 is an exemplary schematic diagram of the configuration of a neck sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure, wherein (a) to (d) respectively show Figure 7 Similar views to (a) to (d). Figure 7 The difference is that, as the shoulder sensor group, only a capacitive sensor group including a plurality of capacitive sensors 2 is provided, which corresponds to Figure 5 The configuration of the shoulder sensor group shown in the figure; accordingly, the neck sensor is a neck capacitive sensor group including neck capacitive sensors 4 extending upward in strips along the short side direction of the front end surface from each capacitive sensor 2 in the capacitive sensor group, forming a structure formed by combining the neck capacitive sensors 4 for pillow separation detection and the capacitive sensors 2 in the shoulder sensor group. Figure 7 Similarly, in this case, the area of ​​the neck capacitance sensor 4 can be designed to be very small so that it will not affect the measurement of the capacitance sensor 2, and will not affect the detection of supine and side lying. The distance between two adjacent neck capacitance sensors 4 is designed to be small enough, for example, less than 6 cm, so as to ensure that when the user is on the pillow, the neck will definitely touch the neck sensor, so that the measured value (such as capacitance) is greater than 0; when the user leaves the pillow, the measured value is 0. In this way, it is possible to conveniently and accurately judge whether the user has left the pillow.

[0055] Those skilled in the art will understand that Figure 7 and Figure 8 In the figure, for convenience, each neck piezoresistive sensor 4' and neck capacitive sensor 4 extending upward in a strip shape along the short side direction of the front end face are shown as straight bars, however, the shape of the neck sensor is not limited to a straight bar, but can be various strips such as curved bars, wavy bars, sawtooth bars... as long as the area of ​​the neck sensor in the long side direction of the front end face is low enough and does not affect the detection of the shoulder sensor group.

[0056] In addition, although not shown, Figure 6 Corresponding to the configuration of the shoulder sensor group shown in FIG. 1 , when a combination of a capacitive sensor group and a piezoresistive sensor group is used as the shoulder sensor group, the piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front end surface. Figure 7 Similarly, the neck piezoresistive sensor group includes neck piezoresistive sensors 4' extending upward in strips along the short side direction of the front end surface from each piezoresistive sensor 3 in the piezoresistive sensor group, forming a structure in which the neck piezoresistive sensor 4' for pillow departure detection and the piezoresistive sensor 3 in the shoulder sensor group are combined.

[0057] By integrally forming the neck sensor and the shoulder sensor for pillow separation detection in the above manner, the neck sensor can be manufactured at a relatively low cost to realize pillow separation detection.

[0058] Fig. 9 is an exemplary schematic diagram of the configuration of a neck sensor of a bedding capable of detecting sleeping posture according to an embodiment of the present disclosure, wherein (a) to (d) respectively show Figure 8 Similar views to (a) to (d). Figure 8 The difference is that the neck sensor is arranged in a strip shape along the long side of the front end surface. In this way, the neck sensor can be manufactured in a relatively simple process to realize pillow separation detection. Although not shown in the figure, the neck sensor arranged in a strip shape here can also be applied to Figure 4 and Figure 6 In addition, although Fig. 9 For the sake of convenience, the neck sensor is shown as a neck capacitive sensor 4, but in fact, no matter how the shoulder sensor group is configured, the neck sensor configured in a strip shape can be either a neck capacitive sensor 4 or a neck piezoresistive sensor 4'.

[0059] By providing a neck sensor, the controller 6 can determine whether the user is off the pillow according to the detection result of the neck sensor. For example, when the pressure value detected by the neck sensor is 0, it can be determined that the user is off the pillow; when it is determined that the user is off the pillow, the controller 6 does not control the inflation and deflation of the airbag 5. In this way, the power consumption of the pillow 10 as a bedding can be effectively reduced.

[0060] In addition, the embodiments of the present disclosure also provide a method for detecting sleeping posture. Fig.10 1 is an exemplary overall flow chart of a method 100 for detecting sleeping posture according to an embodiment of the present disclosure. In the method, a pillow 10 as described above is used as bedding, and the method 100 includes, for example: a sleeping posture determination step S110, in which the controller 6 determines the sleeping posture of the user according to the detection result of the shoulder sensor group; and a height adjustment step S120, in which the controller 6 adjusts the inflation and deflation of the airbag 5 to change the height of the main body 1 according to the sleeping posture of the user determined in the sleeping posture determination step S110.

[0061] The method 100 may further include: an intelligent learning step S100, in which the sleeping posture discrimination parameters suitable for the user are adjusted according to the actual pressure distribution of the user in supine and side lying positions by making the user participate in the sleeping posture detection learning. In the sleeping posture judgment step S110, it may further include: the controller 6 judges whether the user is off the pillow according to the detection result of the neck sensor 4 or 4'. In the height adjustment step S120, it may further include: when it is judged in the sleeping posture judgment step S110 that the user is off the pillow, the controller 6 does not control the inflation and deflation of the airbag 5. Among them, in the height adjustment step S120, the controller 6 can control the airbag 5 to be inflated when it is detected in the sleeping position judgment step S110 that the user changes from a supine position to a side position, and to be deflated when it is detected in the sleeping position judgment step S110 that the user changes from a side position to a supine position, so that the height of the main body 1 when the user is in the side position is higher than the height of the main body 1 when the user is in the supine position.

[0062] Fig.11An exemplary flow chart of the sleeping posture determination step S110 of the method 100 for detecting sleeping posture according to an embodiment of the present disclosure is shown. When the shoulder sensor group includes both a capacitive sensor group and a piezoresistive sensor group, in the sleeping posture determination step S110, the following two-stage detection can be performed: In sub-step S111, the controller 6 first determines the sleeping posture of the user according to the detection result of the capacitive sensor group. If it is determined that the user is lying on his side, the sleeping posture of the user is finally determined to be lying on his side. Otherwise, the process proceeds to sub-step S112. The controller 6 further determines according to the detection result of the piezoresistive sensor group. If it is determined that the user is lying on his back, the sleeping posture of the user is finally determined to be lying on his back. Otherwise, the process proceeds to sub-step S112.

[0063] According to an embodiment of the present disclosure, a computer-readable storage medium may be provided. The computer-readable storage medium may store executable instructions, and when the executable instructions are executed by an information processing device, the information processing device executes the steps of the above-mentioned method 100 for detecting sleeping posture according to the present disclosure.

[0064] According to an embodiment of the present disclosure, a device capable of detecting a sleeping position may be provided. The device capable of detecting a sleeping position may include: a memory having instructions stored thereon; and a processor configured to execute the instructions stored on the memory to perform the steps of the above-mentioned method 100 capable of detecting a sleeping position according to the present disclosure. The memory may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, a database, and other programs.

[0065] According to an embodiment of the present disclosure, a computer program product may be provided. The computer program product may include a computer program / instruction, and when the computer program / instruction is executed by a processor, the steps of the above-mentioned method 100 for detecting sleeping posture according to the present disclosure are implemented.

[0066] The subject matter of the present disclosure is provided as an example of devices, systems, methods and programs for performing the features described in the present disclosure. However, in addition to the above features, other features or variations may also be expected. It is expected that the implementation of the components and functions of the present disclosure may be accomplished with any emerging technology that may replace any of the above-mentioned implementation technologies.

[0067] In addition, the above description provides examples without limiting the scope, applicability or configuration set forth in the claims. Without departing from the spirit and scope of the present disclosure, the functions and arrangements of the elements discussed may be changed. Various embodiments may appropriately omit, replace or add various processes or components. For example, features described with respect to certain embodiments may be combined in other embodiments.

[0068] In addition, in the description of the present disclosure, although operations are depicted in a particular order in the drawings, this should not be understood as requiring that such operations be performed in the particular order shown or in a sequential order, or requiring that all illustrated operations be performed to achieve the desired results. In some cases, multitasking and parallel processing can be advantageous.

[0069] It should be understood that at least two of the characteristic parts of the present technology described herein can be combined. That is, the various characteristic parts described in each specific embodiment can be arbitrarily combined without distinguishing between the various embodiments. The embodiments disclosed this time are illustrative and non-restrictive in all aspects. The scope of the present disclosure is not shown by the above description but by the claims, and it is intended to include all changes within the meaning and scope equivalent to the claims.

[0070] The above description is about the case where the bedding is a pillow. The bedding capable of detecting sleeping posture according to the embodiment of the present disclosure includes not only a common single pillow, but those skilled in the art can understand that the bedding herein can also include a support for the head of a person in a lying position. For example, a pillow can be integrated into a mattress, and as long as a structure including the above technical subject matter is designed in the head support area, it also falls within the scope of the present disclosure.

[0071] The above is only used to illustrate the technical solution of the present disclosure and is not restrictive. Other modifications or equivalent substitutions made by those skilled in the art to the technical solution of the present disclosure shall be included in the scope of the claims of the present disclosure as long as they do not deviate from the spirit and gist of the technical solution of the present disclosure. The effects recorded in this specification are only illustrative and not limited to this, and there may be other effects.

Claims

1. A bedding capable of detecting sleeping posture, comprising: A main body portion, in which an air bag is arranged, and the main body portion has a front end surface for the shoulder of a sleeping user to approach; A shoulder sensor group, comprising a plurality of shoulder sensors, arranged in an array along the long side direction of the front end surface; a controller connected to the airbag and the shoulder sensor group, and judging the sleeping posture of the user according to the detection result of the shoulder sensor group, and then adjusting the inflation and deflation of the airbag to change the height of the main body; The front side end face has a downwardly retracted shape when viewed from the side along the long side direction of the front side end face, and the shoulder sensor group is positioned at the downwardly retracted position of the front side end face so that the shoulders of the user lying on his side can be close to the shoulder sensor group.

2. The bedding according to claim 1, wherein: The shoulder sensor group includes at least one of a capacitive sensor group and a piezoresistive sensor group, The capacitive sensor group includes a plurality of capacitive sensors arranged in an array along the long side direction of the front end surface. The piezoresistive sensor group includes a plurality of piezoresistive sensors arranged in an array along the long side direction of the front end surface. The piezoresistive sensor group is positioned higher than the capacitive sensor group when viewed from the side along the long side direction of the front end surface.

3. The bedding according to claim 1, further comprising: The neck sensor is connected to the controller and arranged along the long side direction of the front end surface. When viewed from the side along the long side direction of the front end surface, the neck sensor is positioned higher than the shoulder sensor group so that the neck of the sleeping user can be close to the neck sensor.

4. The bedding according to claim 2, wherein: When the shoulder sensor group includes both a capacitive sensor group and a piezoresistive sensor group, The controller first determines the sleeping posture of the user according to the detection result of the capacitive sensor group. If it is determined that the user is lying on his side, the controller finally determines the sleeping posture of the user as lying on his side. Otherwise, the controller further determines based on the detection result of the piezoresistive sensor group, and if it is determined that the user is lying on his back, the sleeping posture of the user is finally determined to be lying on his back, otherwise it is determined to be lying on his side.

5. The bedding according to claim 3, wherein: The neck sensor is arranged in a strip shape along the long side direction of the front end surface.

6. The bedding according to claim 3, wherein: The controller determines whether the user leaves the pillow according to the detection result of the neck sensor. When it is determined that the user is in the off-pillow state, the controller does not control the inflation and deflation of the airbag.

7. The bedding according to claim 2, further comprising: a neck sensor connected to the controller, arranged along the long side direction of the front end surface, and positioned higher than the shoulder sensor group when viewed from the side along the long side direction of the front end surface, When the shoulder sensor group includes only a capacitive sensor group, the neck sensor is a neck capacitive sensor group including neck capacitive sensors extending upward in a strip shape from each of the capacitive sensors in the capacitive sensor group along the short side direction of the front side end face, or the neck sensor is arranged in a strip shape along the long side direction of the front side end face, When the shoulder sensor group includes a piezoresistive sensor group, the neck sensor is a neck piezoresistive sensor group including each neck piezoresistive sensor extending upward in a strip shape from each piezoresistive sensor in the piezoresistive sensor group along the short side direction of the front end face, or the neck sensor is arranged in a strip shape along the long side direction of the front end face.

8. The bedding according to claim 1, wherein: The controller comprises: The intelligent learning module adjusts sleeping posture discrimination parameters suitable for the user according to the actual pressure distribution of the user in supine and side lying positions by enabling the user to participate in sleeping posture detection learning.

9. The bedding according to claim 1, wherein: The bedding is a pillow or a mattress, When the bedding is a mattress, each component included in the bedding is formed integrally with the mattress as a part of the mattress.

10. A method for detecting sleeping posture, using the bedding according to any one of claims 1 to 9, comprising: a sleeping posture determination step, wherein the controller determines the sleeping posture of the user according to the detection result of the shoulder sensor group; as well as In a height adjustment step, the controller adjusts the inflation and deflation of the airbag to change the height of the main body according to the sleeping posture of the user determined in the sleeping posture determination step.

11. The method according to claim 10, wherein: The sleeping posture determination step further includes: The controller determines whether the user leaves the pillow according to the detection result of the neck sensor.

12. The method according to claim 10, wherein: In the sleeping posture determination step, when the shoulder sensor group includes both a capacitive sensor group and a piezoresistive sensor group, The controller first determines the sleeping posture of the user according to the detection result of the capacitive sensor group. If it is determined that the user is lying on his side, the controller finally determines the sleeping posture of the user as lying on his side. Otherwise, the controller further determines based on the detection result of the piezoresistive sensor group, and if it is determined that the user is lying on his back, the sleeping posture of the user is finally determined to be lying on his back, otherwise it is determined to be lying on his side.

13. The method according to claim 11, wherein: In the height adjustment step, when it is determined in the sleeping position determination step that the user is in a state of being off the pillow, the controller does not control the inflation and deflation of the airbag.

14. The method according to claim 10, wherein: In the height adjustment step, the controller controls the airbag in such a manner that when it is detected that the user changes from a supine position to a side-lying position in the sleeping position judgment step, the airbag is inflated, and when it is detected that the user changes from a side-lying position to a supine position in the sleeping position judgment step, the airbag is deflated, so that the height of the main body when the user is in the side-lying position is higher than the height of the main body when the user is in the supine position.

15. The method according to claim 10, further comprising: The intelligent learning step is to adjust the sleeping posture discrimination parameters suitable for the user according to the actual pressure distribution of the user in supine and side lying positions by making the user participate in sleeping posture detection learning. 16 . A computer-readable storage medium storing executable instructions, which, when executed by an information processing device, causes the information processing device to execute the steps of the method according to claim 10 .

17. A device capable of detecting sleeping posture, comprising: a memory having instructions stored therein; as well as A processor configured to execute instructions stored on the memory to perform the steps of the method according to any one of claims 10 to 15.

18. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 10 to 15 are implemented.

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