CN115153244A - Sleep-aiding system, sofa and mattress - Google Patents
Sleep-aiding system, sofa and mattress Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
- A47C17/86—Parts or details for beds, sofas or couches only not fully covered in a single one of the sub-groups A47C17/02, A47C17/04, A47C17/38, A47C17/52, A47C17/64, or A47C17/84; Drawers in or under beds
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C23/00—Spring mattresses with rigid frame or forming part of the bedstead, e.g. box springs; Divan bases; Slatted bed bases
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
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Abstract
The invention discloses a sleep-aiding system which comprises a first sleep detection module, a second sleep detection module and a data processing module. According to the invention, the sleep quality of the user is respectively quantified when the first furniture and the second furniture are in sleep through the first sleep quality data and the second sleep quality data, the sleep posture reference data comprises information such as difference between the first sleep posture data and the second sleep posture data, so that the user can know the difference and the advantage-disadvantage comparison between the sleep posture of the user when the first furniture is in sleep and the sleep posture of the user when the second furniture is in sleep, and the user can correct the sleep posture of the user when the second furniture is in sleep, and the same good sleep quality as the user when the first furniture is in sleep is realized; the function of the sleep-assisting system is determined by the use experience of a user, the sleep-assisting system can be fitted with the sleep characteristic of the user, and a good individual customization effect is achieved. The invention is widely applied to the technical field of intelligent home.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to a sleep-assisting system, a sofa and a mattress.
Background
Sleep quality is related to quality of life and physical health, and various techniques are currently dedicated to improving sleep quality. For example, the new material is used for manufacturing furniture articles such as mattresses, pillows and the like, indoor air is purified through the air purifier, and music and the like matched with a sleeping state are played during sleeping, so that a good sleeping environment is created for a user. The technologies all contribute to better sleeping of users, but have the common defects that the technologies used for realizing the corresponding effects are based on research results of partial groups, for example, varieties and component ratios of new materials for manufacturing mattresses and pillows are selected for the partial groups, working parameters of the air purifier are set for the partial groups, music tracks and playing modes are set for the partial groups, and the like, so that personalized customization is difficult to achieve, and therefore, for some people, the corresponding sleep-assisting effects cannot be obtained by using the sleep-assisting products. From the perspective of consumers, some groups cannot purchase sleep-aiding products suitable for the users, from the perspective of producers, consumer groups which cannot be covered by the products always exist in the market, and the waste of resources is actually generated from the two aspects of integration.
Disclosure of Invention
The invention aims to provide a sleep-assisting system, a sofa and a mattress, aiming at the technical problems that the existing sleep-assisting technology is insufficient in individuation degree, and the sleep-assisting effect of some crowds is poor.
In one aspect, embodiments of the invention include a sleep-aid system, comprising:
a first sleep detection module; the first sleep detection module is arranged on first furniture and used for detecting a sleep posture formed by a person when the first furniture is asleep, obtaining first sleep posture data and detecting sleep quality of the person when the first furniture is asleep, and obtaining first sleep quality data;
a second sleep detection module; the second sleep detection module is used for detecting a sleep posture formed by the person when the second furniture is sleeping, acquiring second sleep posture data, and detecting the sleep quality of the person when the second furniture is sleeping, and acquiring second sleep quality data;
a data processing module; the data processing module is used for acquiring the first sleep posture data, the first sleep quality data, the second sleep posture data and the second sleep quality data, and when the first sleep quality data is determined to be superior to the second sleep quality data, generating sleep posture reference data according to the first sleep posture data and the second sleep posture data.
Further, the sleep-aiding system further comprises:
a display module; the display module is used for displaying the sleep posture reference data.
Further, the first sleep detection module and the second sleep detection module respectively include:
a flexible substrate;
an array of pressure sensors; the pressure sensor array comprises a plurality of pressure sensors, each of the pressure sensors being distributed over the flexible substrate;
a data acquisition module; the data acquisition module is connected with the pressure sensor array and used for acquiring pressure distribution data from the pressure sensor array to serve as the first sleep posture data or the second sleep posture data.
Further, the data acquisition module sends the first sleep posture data or the second sleep posture data to the data processing module through a wireless communication protocol.
Further, the detecting the sleep quality of the person sleeping on the first furniture and obtaining first sleep quality data includes:
monitoring a change in a value of the first sleep posture data;
determining the duration of the first sleep posture data corresponding to different standard values;
taking the maximum duration corresponding to the first sleep posture data as the first sleep quality data;
the detecting the sleep quality of the person sleeping at the second furniture to obtain second sleep quality data comprises:
monitoring a change in value of the second sleep posture data;
determining the duration of the second sleep posture data corresponding to different standard values;
and taking the maximum duration corresponding to the second sleep posture data as the second sleep quality data.
Further, the detecting the sleep quality of the person sleeping on the first furniture and obtaining first sleep quality data includes:
monitoring a change in value of the first sleep posture data;
determining the duration of the first sleep posture data corresponding to different standard values;
taking the ratio of the maximum duration corresponding to the first sleep posture data to the sum of other durations corresponding to the first sleep posture data as the first sleep quality data;
the detecting the sleep quality of the person sleeping at the second furniture to obtain second sleep quality data comprises:
monitoring a change in a value of the second sleep posture data;
determining the duration of the second sleep posture data corresponding to different standard values;
and taking the ratio of the maximum duration corresponding to the second sleep posture data to the sum of other durations corresponding to the second sleep posture data as the second sleep quality data.
Further, the determining that the first sleep quality data is better than the second sleep quality data comprises:
and when detecting that the value corresponding to the first sleep quality data is larger than the value corresponding to the second sleep quality data, determining that the first sleep quality data is superior to the second sleep quality data.
Further, the generating sleep posture reference data from the first sleep posture data and the second sleep posture data comprises:
determining a first sleep posture type corresponding to the first sleep posture data;
determining a second sleep posture type corresponding to the second sleep posture data;
determining a posture conversion action type according to the first sleep posture type and the second sleep posture type; the posture transition action type is capable of transitioning the second sleep posture type to the first sleep posture type;
and taking the posture conversion action type as the sleep posture reference data.
In another aspect, embodiments of the present invention also include a sofa comprising:
the first sleep detection module in an embodiment of a sleep-aid system;
a sofa body; the sofa body is used as the first furniture in the sleep-assisting system in the embodiment.
In another aspect, embodiments of the invention also include a mattress, comprising:
the second sleep detection module in an embodiment of a sleep-aid system;
a mattress body; the mattress body serves as the second furniture in the sleep-aiding system in the embodiment.
The invention has the beneficial effects that: according to the sleep-assisting system in the embodiment, the sleep quality of a user is quantized respectively when the first furniture and the second furniture are in sleep through the first sleep quality data and the second sleep quality data, when the data processing module determines that the first sleep quality data is superior to the second sleep quality data, the sleep posture reference data generated according to the first sleep posture data and the second sleep posture data comprises information such as difference between the first sleep posture data and the second sleep posture data, so that the user can know the difference and the quality contrast between the sleep posture of the user when the first furniture is in sleep and the sleep posture of the user when the second furniture is in sleep, the user can correct the sleep posture of the user when the second furniture is in sleep, and the same good sleep quality as the user when the first furniture is in sleep is achieved; the function of the sleep-assisting system is determined by the use experience of the user (for example, the sleep experience of the user in the first furniture in the past), so that the sleep-assisting system can be fitted with the sleep characteristic of the user and has a good individual customization effect.
Drawings
FIG. 1 is a schematic view of a first piece of furniture in an embodiment;
fig. 2 is a schematic view of a second furniture in the embodiment;
fig. 3 is a schematic structural diagram of a first sleep detection module and a second sleep detection module in an embodiment;
fig. 4 is a schematic diagram of a process of determining first sleep quality data in an embodiment.
Detailed Description
In this embodiment, the following scenario is set: in a living room of one user (person), two pieces of furniture, i.e., a first furniture and a second furniture, are provided, and the user can sleep on the first furniture or the second furniture, the user has been sleeping on the first furniture, and in the current state, the user is sleeping on the second furniture, and assuming that the user is not currently sleeping on the second furniture and has not obtained a good sleep quality, the user has previously obtained a good sleep quality by sleeping on the first furniture, and the user wishes to obtain a good sleep quality on the second furniture by using a sleep aid system.
Specifically, the first furniture may be the sofa body shown in fig. 1, and the second furniture may be the mattress body shown in fig. 2, that is, in this embodiment, the first furniture refers to the sofa body, and the second furniture refers to the mattress body, unless otherwise noted. Of course, in practical application of the sleep-assisting system in this embodiment, the first furniture and the second furniture may be both sofa bodies (different sofa bodies), the first furniture and the second furniture may be both mattress bodies (different mattress bodies), or the first furniture may be a mattress body and the second furniture may be a sofa body.
In this embodiment, the first sleep detection module is disposed on the first furniture, and the second sleep detection module is disposed on the second furniture. Specifically, the first sleep detection module can be placed on the first furniture, and the first sleep detection module and the first furniture do not have a close fixed relationship, so that a user can conveniently take the first sleep detection module away from the first furniture; the first sleep detection module and the first furniture can also be tightly fixed together, and particularly the first sleep detection module and the first furniture can be installed together in the process of producing the first furniture, so that a user can not conveniently take the first sleep detection module away from the first furniture. Similarly, the second sleep detection module can be placed on the second furniture, and the second sleep detection module and the second furniture do not have a close fixed relationship, so that a user can conveniently take the second sleep detection module away from the second furniture; the second sleep detection module and the second furniture can be tightly fixed together, and particularly, the second sleep detection module and the second furniture can be installed together in the process of producing the second furniture, so that a user cannot conveniently take the second sleep detection module away from the second furniture.
In this embodiment, the first sleep detection module obtains first sleep posture data by detecting a sleep posture formed by a user when the first furniture is sleeping, and obtains first sleep quality data by detecting sleep quality of the user when the first furniture is sleeping. The second sleep detection module obtains second sleep posture data by detecting a sleep posture formed by the user when the second furniture is in sleep, and obtains second sleep quality data by detecting the sleep quality of the user when the second furniture is in sleep. The first sleep detection module sends the first sleep posture data and the first sleep quality data obtained by detection, and the second sleep detection module sends the second sleep posture data and the second sleep quality data obtained by detection to the data processing module.
After the data processing module receives the first sleep posture data, the first sleep quality data, the second sleep posture data and the second sleep quality data, the sleep posture of the user when the first furniture is in sleep can be analyzed from the first sleep posture data, the sleep quality of the user when the first furniture is in sleep can be analyzed from the first sleep quality data, the sleep posture of the user when the second furniture is in sleep can be analyzed from the second sleep posture data, and the sleep quality of the user when the second furniture is in sleep can be analyzed from the second sleep quality data.
In this embodiment, the first sleep quality data can quantify the sleep quality of the user when the first furniture is in sleep, and the second sleep quality data can quantify the sleep quality of the user when the second furniture is in sleep, so that the data processing module can determine which of the sleep quality of the user when the first furniture is in sleep and the sleep quality of the user when the second furniture is in sleep is better by comparing the first sleep quality data and the second sleep quality data. When the data processing module determines that the first sleep quality data is better than the second sleep quality data, that is, the sleep quality of the user is better when the first furniture is sleeping than when the second furniture is sleeping, the data processing module can reasonably conclude that the sleep posture of the user is better when the first furniture is sleeping than when the second furniture is sleeping, and the data processing module can generate sleep posture reference data according to the first sleep posture data and the second sleep posture data, wherein the sleep posture reference data comprises information such as the difference between the first sleep posture data and the second sleep posture data. If the sleep posture reference data is further analyzed, the difference of the user in sleeping of different furniture can be analyzed from the perspective of big data and the like, so that the sleep rule of the user can be judged, and medical analysis and advice suggestion can be carried out. If the sleep posture reference data is directly displayed to the user, the user can know the difference and the quality contrast between the sleep posture of the user when the user sleeps in the first furniture and the sleep posture of the user when the user sleeps in the second furniture, so that the user can be helped to correct the sleep posture of the user when the user sleeps in the second furniture, and the same good sleep quality as that of the user when the user sleeps in the first furniture is favorably realized.
In this embodiment, a dedicated terminal device may be used as the data processing module, and at this time, the data processing module is used in cooperation with the first sleep detection module and the second sleep detection module, and the data processing module may be integrated with the first sleep detection module or the second sleep detection module. In this embodiment, terminal devices such as a mobile phone or a tablet computer may also be used as the data processing module, and the terminal devices such as the mobile phone or the tablet computer may run the customized APP to communicate with the first sleep detection module and the second sleep detection module.
In this embodiment, the sleep-aiding system further includes a display module, and the data processing module can send the sleep posture reference data to the display module, and the display module displays the sleep posture reference data. Specifically, a special terminal device can be used as a display module, and the display module can be provided with a liquid crystal display screen for displaying the sleep posture reference data in a text form; the display module can also be provided with a loudspeaker for displaying the sleep posture reference data in a sound mode. The display module can also be in the form of an indicator light or a night light, etc. The data processing module and the display module in this embodiment may be integrated together.
In this embodiment, when a terminal device such as a mobile phone or a tablet computer is used as the data processing module, the terminal device such as the mobile phone or the tablet computer may also be used as the display module, and at this time, the terminal device such as the mobile phone or the tablet computer simultaneously realizes the functions of the data processing module and the display module.
In this embodiment, the first sleep detection module and the second sleep detection module have the same structure. Taking the first sleep detection module as an example, the structure of the first sleep detection module is shown in fig. 3, and the first sleep detection module includes a flexible substrate, a pressure sensor array, and a data acquisition module. The flexible substrate can be made of polyester film and the like, and a plurality of pressure sensors are distributed and mounted on the flexible substrate in a matrix form to form a pressure sensor array. Referring to fig. 3, the data acquisition module includes a communication chip and an IO chip, where the IO chip includes a plurality of IO interfaces, and the IO interfaces are connected with the respective pressure sensors in the pressure sensor array in a row or column manner. The pressure sensors can measure the pressure applied to the positions to form pressure signals, and the IO chip can read the pressure signals measured by the pressure sensors in a line scanning mode or a simultaneous reading mode. Assuming that the IO chip reads the pressure signals measured by the pressure sensors in a line scanning manner, in a scanning period, the pressure signals scanned by the IO chip can reflect the pressure applied to each position of the flexible substrate, that is, the pressure signals can describe the pressure distribution applied to the flexible substrate, so that the pressure signals form pressure distribution data.
In this embodiment, the pressure distribution data collected by the first sleep detection module is used as the first sleep posture data, and the pressure distribution data collected by the second sleep detection module is used as the second sleep posture data.
In this embodiment, the communication chip may be a communication unit capable of executing a wireless communication protocol such as bluetooth or ZigBee. Taking the first sleep detection module as an example, the IO chip in the first sleep detection module sends the collected first sleep posture data to the communication chip in the first sleep detection module, and the communication chip sends the first sleep posture data to the data processing module for processing through a bluetooth or ZigBee or other wireless communication protocol.
In this embodiment, in the first sleep detection module and the second sleep detection module having the structures shown in fig. 3, because the volumes of the communication chip and the IO chip are small, the communication chip and the IO chip may also be integrated inside the flexible substrate, and the appearances of the first sleep detection module and the second sleep detection module are similar to those of a single flexible substrate.
When the first sleep detection module and the second sleep detection module with the structures shown in fig. 3 are used, the first sleep detection module can be laid on the surface of the sofa body shown in fig. 1, or the first sleep detection module is embedded inside the cushion of the sofa body close to the surface in the manufacturing process of the sofa body, so that when a user lies on the sofa body, the weight of the user can generate pressure on the first sleep detection module, and the pressure sensor in the first sleep detection module can measure first sleep posture data; the second sleep detection module can be laid on the surface of the mattress body shown in fig. 2, or the second sleep detection module is embedded inside the mattress body close to the surface in the manufacturing process of the mattress body, so that when a user lies on the mattress body, the weight of the user can generate pressure on the second sleep detection module, and the pressure sensor in the second sleep detection module can measure second sleep posture data.
In this embodiment, taking the first sleep detection module as an example, the first sleep posture data measured by the first sleep detection module has a form shown in table 1, where p is xi,yj,t＝1 The pressure signal measured by the pressure sensor with the corresponding coordinate (xi, yj) in the first sleep detection module at the time t =1 is represented as the pressure.
TABLE 1
As can be seen from table 1, in this embodiment, both the first sleep quality data measured by the first sleep detection module and the second sleep quality data measured by the second sleep detection module may be in a matrix form. And with the different acquisition moments (respectively at t =2,3 \ 8230; and at the same time, the acquisition is carried out), when the user sleeps on the first furniture and the second furniture, the sleeping posture may be adjusted, so that the pressure generated on each part of the first sleep detection module and the second sleep detection module may be changed, and therefore, the first sleep quality data and the second sleep quality data are used as a matrix, and the numerical values of the first sleep quality data and the second sleep quality data may be changed.
In this embodiment, the data processing module may determine the first sleep quality data according to the first sleep posture data, and determine the second sleep quality data according to the second sleep posture data. The principle of determining the first sleep quality data according to the first sleep posture data and the principle of determining the second sleep quality data according to the second sleep posture data are the same, and therefore, the determination of the first sleep quality data according to the first sleep posture data can be taken as an example for explanation.
In this embodiment, when determining the first sleep quality data according to the first sleep posture data, the data processing module may execute the following steps:
S1A, monitoring the value change of first sleep posture data;
S2A, determining the duration of the first sleep posture data corresponding to different standard values;
and S3A, taking the maximum duration corresponding to the first sleep posture data as first sleep quality data.
In the step S1A, the first sleep detection module acquires the values at t =2,3 \ 8230; \8230; and the same time, and can obtain specific values of the first sleep posture data at different times, thereby monitoring the change of the values of the first sleep posture data. For example, at the time t =2, the data processing module monitors that the first sleep posture data is changed from the value shown in table 1 to the value shown in table 2 by the first sleep detection module.
TABLE 2
In step S2A, an experiment may be performed in advance to determine the pressure distribution generated by the first sleep detection module when the user sleeps in different sleeping postures. For example, table 3 shows the pressure distribution generated by the first sleep detection module when the user sleeps in the side-sleeping posture during the experiment, and the matrix values shown in table 3 can be used as the standard values corresponding to the side-sleeping posture; table 4 shows the pressure distribution generated by the first sleep detection module when the user sleeps in the supine sleeping posture during the experiment, and the matrix values shown in table 4 can be used as the standard values corresponding to the supine sleeping posture.
TABLE 3
| p x1,y1,pattern＝side | p x2,y1,pattern＝side | p x3,y1,pattern＝side | p x4,y1,pattern＝side | p x5,y1,pattern＝side |
| p x1,y2,pattern＝side | p x2,y2,pattern＝side | p x3,y2,pattern＝side | p x4,y2,pattern＝side | p x5,y2,pattern＝side |
| p x1,y3,pattern＝side | p x2,y3,pattern＝side | p x3,y3,pattern＝side | p x4,y3,pattern＝side | p x5,y3,pattern＝side |
| p x1,y4,pattern＝side | p x2,y4,pattern＝side | p x3,y4,pattern＝side | p x4,y4,pattern＝side | p x5,y4,pattern＝side |
| p x1,y5,pattern＝side | p x2,y5,pattern＝side | p x3,y5,pattern＝side | p x4,y5,pattern＝side | p x5,y5,pattern＝side |
| p x1,y6,pattern＝side | p x2,y6,pattern＝side | p x3,y6,pattern＝side | p x4,y6,pattern＝side | p x5,y6,pattern＝side |
| p x1,y7,pattern＝side | p x2,y7,pattern＝side | p x3,y7,pattern＝side | p x4,y7,pattern＝side | p x5,y7,pattern＝side |
| p x1,y8,pattern＝side | p x2,y8,pattern＝side | p x3,y8,pattern＝side | p x4,y8,pattern＝side | p x5,y8,pattern＝side |
TABLE 4
In step S2A, for the first sleep posture data measured at the time t = ti, a similarity between the first sleep posture data and a standard value corresponding to the side sleep posture shown in table 3, a similarity between the first sleep posture data and a standard value corresponding to the back sleep posture shown in table 4, and a similarity between the first sleep posture data and a standard value corresponding to the other sleep posture may be calculated, and a sleep posture corresponding to the first sleep posture data measured at the time t = ti may be determined by selecting a sleep posture corresponding to the maximum similarity (a condition that "the similarity should be greater than a threshold value" may be added). Specifically, in calculating the similarity between the first sleep posture data and the standard value, since the mathematical forms of the first sleep posture data and the standard value are both matrices, the cosine similarity between the first sleep posture data and the standard value can be calculated as the similarity between the first sleep posture data and the standard value.
An execution result of the step S2A is shown in fig. 4, where dots indicate sleeping postures corresponding to the first sleeping posture data measured at each time, and can indicate sleeping postures at t =1, 2,3 \8230; and other times when a user sleeps on the first furniture provided with the first sleep detection module. The sleeping posture of the user is prone sleeping at the time of t =1 to t =3, and the duration of the sleeping posture is 2 time units.
In fig. 4, the maximum duration is a time period from t =4 to t =9, in which the sleeping posture of the user is kept unchanged while the user keeps sleeping on one side, and the duration of continuously keeping the same sleeping posture can be used as quantitative data for evaluating the sleeping quality of the user, so in step S3A, the specific value of the first sleeping quality data can be determined to be the duration of the time period from t =4 to t =9, that is, 5 time units.
The practical meaning of the first sleep quality data obtained by executing the steps S1A-S3A can be understood as that the user sleeps on the first furniture and the maximum duration of the same sleeping posture is continuously kept unchanged.
In this embodiment, when determining the second sleep quality data according to the second sleep posture data, the data processing module may execute the following steps according to the principles of steps S1A to S3A: monitoring a change in value of the second sleep posture data; determining the duration of the second sleep posture data corresponding to different standard values; and taking the maximum duration corresponding to the second sleep posture data as second sleep quality data. The practical significance of the second sleep quality data obtained in this way can be understood as the maximum duration for which the user sleeps on the second furniture and the same sleeping posture is continuously kept unchanged. Therefore, the first sleep quality data is compared with the second sleep quality data, and if the first sleep quality data is greater than the second sleep quality data, it can be determined that the first sleep quality data is better than the second sleep quality data, that is, the quality of the user sleeping on the first furniture is higher than the quality of sleeping on the second furniture.
In this embodiment, when the data processing module determines the first sleep quality data according to the first sleep posture data, the data processing module may further perform the following steps:
S1B, monitoring the numerical value change of the first sleep posture data;
S2B, determining the duration of the first sleep posture data corresponding to different standard values;
and S3B, taking the ratio of the maximum duration corresponding to the first sleep posture data to the sum of other durations corresponding to the first sleep posture data as first sleep quality data.
The principle of step S1B is the same as step S1A, and the principle of step S2B is the same as step S2A. In step S3B, referring to step S3A, it is determined according to fig. 4 that the maximum duration time corresponding to the first sleep posture data is 5 time units of t =4 to t =9, and the sum of the other duration times corresponding to the first sleep posture data, i.e. 8 time units of t =1 to t =3 and t =10 to t =16, so that the value of the first sleep quality data in step S3B may be determined to be 5/8=62.50%.
The practical meaning of the first sleep quality data obtained by executing the steps S1B-S3B can be understood as the ratio of the time length of the user who sleeps on the first furniture and is in the state of continuously keeping the same sleeping posture unchanged to the time length of the user who frequently changes relative to the sleeping posture. It can be seen that the first sleep quality data obtained by performing steps S1B to S3B and the first sleep quality data obtained by performing steps S1A to S3A have different specific numerical values, but have a property that the larger the first sleep quality data is, the better the sleep quality is.
In this embodiment, when determining the second sleep quality data according to the second sleep posture data, the data processing module may execute the following steps according to the principles of steps S1B to S3B: monitoring a change in value of the second sleep posture data; determining the duration of the second sleep posture data corresponding to different standard values; and taking the ratio of the maximum duration corresponding to the second sleep posture data to the sum of other durations corresponding to the second sleep posture data as second sleep quality data. The practical meaning of the second sleep quality data obtained in the way can be understood as the ratio of the duration of the user who sleeps on the second furniture and is in the state of continuously keeping the same sleeping posture unchanged to the duration of the sleeping posture which changes frequently. Therefore, the first sleep quality data is compared with the second sleep quality data, and if the first sleep quality data is greater than the second sleep quality data, it can be determined that the first sleep quality data is better than the second sleep quality data, that is, the quality of the user sleeping on the first furniture is higher than the quality of sleeping on the second furniture.
In this embodiment, when the data processing module generates the sleep posture reference data according to the first sleep posture data and the second sleep posture data, the following steps may be specifically performed:
s4, determining a first sleep posture type corresponding to the first sleep posture data;
s5, determining a second sleep posture type corresponding to the second sleep posture data;
s6, determining an attitude conversion action type according to the first sleep attitude type and the second sleep attitude type; the posture conversion action type enables the second sleep posture type to be converted into the first sleep posture type;
and S7, taking the posture conversion action type as sleep posture reference data.
In steps S4 and S5, according to the principle of step S2A, the sleeping posture corresponding to the standard value most similar to the first sleeping posture data is determined as the first sleeping posture type corresponding to the first sleeping posture data, and the sleeping posture corresponding to the standard value most similar to the second sleeping posture data is determined as the second sleeping posture type corresponding to the second sleeping posture data.
In this embodiment, it may be assumed that the first sleep posture type corresponding to the first sleep posture data in step S4 is "side sleep", and the second sleep posture type corresponding to the second sleep posture data in step S5 is "back sleep".
In step S6, the data processing module may determine a posture conversion action type that enables the second sleep posture type to be converted into the first sleep posture type by querying a data table or the like. For example, in the case where the first sleep posture type is "side sleep" and the second sleep posture type is "back sleep", the queried posture conversion action type may be "turn left/right", and in step S7, the sleep posture reference data "turn left/right" may be displayed through the display module with the posture conversion action type "turn left/right" as the sleep posture reference data.
When the user knows that the sleep posture reference data turns to the left side or the right side through the display module, if the user turns to the left side or the right side for sleeping according to the prompt that the sleep posture reference data turns to the left side or the right side, the back sleeping posture used when the user sleeps at the second furniture can be converted into the side sleeping posture used when the user sleeps at the first furniture in the past. Since the user used the side sleeping posture at the first furniture in the past to sleep and once obtained good sleep quality, the user used the side sleeping posture at the second furniture to sleep and now had a greater possibility of obtaining good sleep quality than the current sleep according to the back sleeping posture.
Because the sleep quality is closely related to psychological factors, even though the sleeping posture is not the only factor for determining the sleep quality, the sleep-assisting system in the embodiment prompts a user through the sleep posture reference data, so that the sleep-assisting system can play a role similar to a placebo, is beneficial to improving the psychological condition of the user and further improves the sleep quality.
In this embodiment, the sofa body as the first furniture may be manufactured by a related technology of sofa manufacturing, and the first sleep detection module is fixed with the sofa body when the sofa is produced, so as to obtain the sofa in this embodiment. The mattress body as the second furniture may be manufactured by a related art of mattress manufacturing, and the second sleep detection module is fixed together with the mattress body at the time of mattress manufacturing, thereby obtaining the mattress in the present embodiment. As can be seen from the description of the embodiment, the combined use of the sofa and the mattress is helpful for improving the sleeping quality of the user.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided with this embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described by the present embodiments (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable connection, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, or the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (10)
1. A sleep-aid system, said sleep-aid system comprising:
a first sleep detection module; the first sleep detection module is arranged on first furniture and used for detecting a sleep posture formed by a person when the first furniture is asleep, obtaining first sleep posture data and detecting sleep quality of the person when the first furniture is asleep, and obtaining first sleep quality data;
a second sleep detection module; the second sleep detection module is used for detecting a sleep posture formed by the person when the second furniture is sleeping, acquiring second sleep posture data, and detecting the sleep quality of the person when the second furniture is sleeping, and acquiring second sleep quality data;
a data processing module; the data processing module is used for acquiring the first sleep posture data, the first sleep quality data, the second sleep posture data and the second sleep quality data, and when the first sleep quality data is determined to be superior to the second sleep quality data, generating sleep posture reference data according to the first sleep posture data and the second sleep posture data.
2. A sleep-aid system according to claim 1, further comprising:
a display module; the display module is used for displaying the sleep posture reference data.
3. A sleep assistance system as claimed in claim 1, wherein said first sleep detection module and said second sleep detection module each comprise:
a flexible substrate;
an array of pressure sensors; the pressure sensor array comprises a plurality of pressure sensors, each of which is distributed on the flexible substrate;
a data acquisition module; the data acquisition module is connected with the pressure sensor array and used for acquiring pressure distribution data from the pressure sensor array to serve as the first sleep posture data or the second sleep posture data.
4. A sleep assistance system as claimed in claim 3, wherein said data acquisition module sends said first sleep position data or said second sleep position data to said data processing module via a wireless communication protocol.
5. A sleep aid system according to claim 1, wherein:
the detecting the sleep quality of the person sleeping at the first furniture to obtain first sleep quality data comprises:
monitoring a change in value of the first sleep posture data;
determining the duration of the first sleep posture data corresponding to different standard values;
taking the maximum duration corresponding to the first sleep posture data as the first sleep quality data;
the detecting the sleep quality of the person sleeping at the second furniture to obtain second sleep quality data comprises:
monitoring a change in value of the second sleep posture data;
determining the duration of the second sleep posture data corresponding to different standard values;
and taking the maximum duration corresponding to the second sleep posture data as the second sleep quality data.
6. A sleep aid system as claimed in claim 1, wherein:
the detecting the sleep quality of the person sleeping at the first furniture to obtain first sleep quality data comprises:
monitoring a change in value of the first sleep posture data;
determining the duration of the first sleep posture data corresponding to different standard values;
taking the ratio of the maximum duration corresponding to the first sleep posture data to the sum of other durations corresponding to the first sleep posture data as the first sleep quality data;
the detecting the sleep quality of the person sleeping at the second furniture to obtain second sleep quality data comprises:
monitoring a change in a value of the second sleep posture data;
determining the duration of the second sleep posture data corresponding to different standard values;
and taking the ratio of the maximum duration corresponding to the second sleep posture data to the sum of other durations corresponding to the second sleep posture data as the second sleep quality data.
7. A sleep assistance system as claimed in claim 5 or 6, wherein said determining that said first sleep quality data is better than said second sleep quality data comprises:
and when detecting that the value corresponding to the first sleep quality data is larger than the value corresponding to the second sleep quality data, determining that the first sleep quality data is superior to the second sleep quality data.
8. The sleep-aid system according to claim 1, wherein the generating sleep posture reference data from the first sleep posture data and the second sleep posture data comprises:
determining a first sleep posture type corresponding to the first sleep posture data;
determining a second sleep posture type corresponding to the second sleep posture data;
determining a posture conversion action type according to the first sleep posture type and the second sleep posture type; the posture transition action type is capable of transitioning the second sleep posture type to the first sleep posture type;
and taking the posture conversion action type as the sleep posture reference data.
9. A sofa, comprising:
the first sleep detection module in the sleep assistance system of any one of claims 1-8;
a sofa body; the sofa body as the first piece of furniture in the sleep-aid system of any one of claims 1-8.
10. A mattress, characterized in that the mattress comprises:
the second sleep detection module in the sleep assistance system of any one of claims 1-8;
a mattress body; the mattress body as the second furniture in the sleep-aid system of any one of claims 1-8.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210668140.0A CN115153244A (en) | 2022-06-14 | 2022-06-14 | Sleep-aiding system, sofa and mattress |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210668140.0A CN115153244A (en) | 2022-06-14 | 2022-06-14 | Sleep-aiding system, sofa and mattress |
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| CN115153244A true CN115153244A (en) | 2022-10-11 |
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Application publication date: 20221011 |