CN108523524B - User sleep personalized service system and method for intelligent soft and hard adjustable mattress - Google Patents
User sleep personalized service system and method for intelligent soft and hard adjustable mattress Download PDFInfo
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- CN108523524B CN108523524B CN201810356193.2A CN201810356193A CN108523524B CN 108523524 B CN108523524 B CN 108523524B CN 201810356193 A CN201810356193 A CN 201810356193A CN 108523524 B CN108523524 B CN 108523524B
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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
- A47C27/08—Fluid mattresses or cushions
- A47C27/081—Fluid mattresses or cushions of pneumatic type
- A47C27/083—Fluid mattresses or cushions of pneumatic type with pressure control, e.g. with pressure sensors
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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
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/008—Use of remote controls
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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
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
Abstract
The embodiment of the application provides a user sleep personalized service system and method for an intelligent soft and hard adjustable mattress, which comprises the following steps: the mattress comprises a mattress body, wherein an air bag is arranged in the mattress body; the air pressure adjusting device is connected with the air vent of the air bag and is used for performing hardness-adjustable and air-releasing operation on the air bag; the sleep action characteristic acquisition module is used for acquiring action characteristics of a user during sleep and generating a current action characteristic image; the sleep action characteristic matching module is used for matching the current action characteristic portrait with a pre-stored model action characteristic portrait associated with the user identity information; and the intelligent control module is used for adjusting the hardness of the soft and hard adjustable mattress according to the parameters corresponding to the model action characteristic portrait. The user sleep personalized service system and the method of the intelligent mattress with adjustable softness and hardness realize automatic adjustment according to individual requirements of users on the softness and hardness of the mattress, and are beneficial to resting of the users, improving of sleep quality and growth and development of teenagers.
Description
Technical Field
The application relates to the technical field of intelligent furniture, in particular to a user sleep personalized service system and method for an intelligent soft and hard adjustable mattress.
Background
The mattress is a common living article necessary for the masses, and the prior mattress is mostly composed of a single mattress core or a mattress core and a decorative sleeve wrapped on the outer surface of the mattress core. Mattress cores are currently commonly referred to as coir and foam pads. The existing mattress, whether a palm cushion or a spongy cushion, has the defect that the hardness of the mattress is difficult to keep durable and stable along with the prolonging of the service time, and the deformed mattress seriously influences the body health of consumers.
On the other hand, due to different ages, constitutions and living habits, the hardness and softness requirements of the mattress of each user are different individually, and the hardness and softness of the mattress have a direct relationship with the rest and sleep quality of the user and the growth and development of teenagers, so that the hardness and softness of the mattress most suitable for each user are different. Coir mats and spongy cushions in the prior art cannot adaptively adjust the hardness of the mattress according to the personalized requirements of the user, so that the use experience of the user is poor, and the optimal personalized rest environment is not favorably created for the user.
In order to solve the above problems, some mattresses capable of adjusting the firmness have been developed in the prior art. For example, patent document CN107836906 discloses a soft and hard adjustable mattress, the mattress body of which comprises a knitted layer, a sponge layer, a soft and hard adjustable layer, a first steel wire mesh layer, a spring layer, a second steel wire mesh layer and a foam cushion layer. Wherein, make the hardness of mattress body adjustable through the adjustable layer of hardness, improved the healthy travelling comfort of mattress. Patent document CN107647957 discloses a bladder type pressure system and a medical binding device with the same, which can be applied to mattresses and other cushions, and comprises a hardness-adjustable pressurizing device, an exhaust and pressure relief device, a pressure detector and a central processing unit. The central processing unit monitors the gas pressure in the flexible cavity through the pressure detector, and adjusts the gas pressure in the air in real time through the pressure boosting device with adjustable hardness and the air exhaust and pressure relief device, so that the overall hardness of the surface of the flexible object is adjusted, and a support body with adjustable hardness is formed. Patent document CN107174051 discloses a spring mattress capable of automatically adjusting the hardness, which has a hardness-adjustable layer, one side of the hardness-adjustable layer is provided with a hardness-adjustable port, the hardness-adjustable port is connected with an electromagnetic valve and a hardness-adjustable pump through a hardness-adjustable pipe, an air pressure sensor is further arranged in the hardness-adjustable layer, and an air pressure signal in the hardness-adjustable layer is transmitted to a controller; the air pressure signal reflects the hardness of the mattress; the controller is connected with the gear regulator, and the soft and hard adjustment of the mattress is realized through the gear adjustment; and the adjustable softness layer is divided into a left adjustable bag and a right adjustable bag, so that the hardness of the left part and the right part of the mattress can be adjusted respectively.
Therefore, the existing mattress with adjustable hardness can adjust the internal air pressure of the mattress with adjustable hardness through the change of the adjustable hardness, and the air pressure determines the hardness degree of the mattress. The soft or hard adjustable mattress can change its inside atmospheric pressure according to user's individual need to adjust mattress hardness to appropriate gear. And the soft and hard adjustable mattress has obviously better soft and hard keeping and shaping capability than the prior coir mat or sponge mat.
However, in the prior art, the adjustment of the adjustable amount of the hardness-adjustable mattress is mainly determined according to the hardness-adjustable gear manually set by the user, and the hardness-adjustable mattress is difficult to be adjusted autonomously to adapt to the personalized requirements of the user; under different application environments, no matter the mattress is used at home or in occasions such as hotels, different users always use the same soft and hard adjustable mattress at different time intervals, and the users are not used to identity authentication, user name login and other operations when using the mattress, so that the user experience of the existing soft and hard adjustable mattress is reduced due to the fact that the user identity cannot be automatically identified and the automatic adjustment meeting the individual requirements of the soft and hard adjustable mattress is realized according to the user identity, and the rest of the users and the improvement of the sleep quality and the growth and development of teenagers are not facilitated.
Disclosure of Invention
In view of this, an object of the present application is to provide a system and a method for personalized sleep service for a user of an intelligent soft and hard adjustable mattress, so as to solve the technical problems that the soft and hard adjustable mattress in the prior art is difficult to realize autonomous and personalized adjustment of the soft and hard adjustable mattress, cannot automatically identify the user identity within a certain application range and automatically adjust according to the personalized requirements of the user on the soft and hard adjustable mattress, and is not beneficial to the rest of the user and the improvement of sleep quality and the growth and development of teenagers.
Based on the above purpose, in one aspect of the present application, a personalized service system for sleep of a user of an intelligent soft and hard adjustable mattress is provided, which includes:
the mattress comprises a mattress body, wherein an air bag is arranged in the mattress body;
the air pressure adjusting device is connected with the air vent of the air bag and is used for performing inflation and deflation operations on the air bag and changing the hardness of the mattress with adjustable softness and hardness by adjusting the air pressure value in the air bag;
the sleep action characteristic acquisition module is used for acquiring action characteristics of a user during sleep and generating an action characteristic portrait of the current user, wherein the action characteristic portrait comprises characteristic values of multiple dimensions;
the sleep action characteristic matching module is used for matching the action characteristic portrait of the current user with a pre-accumulated and stored model action characteristic portrait associated with user identity information;
and the intelligent control module is used for determining corresponding user identity information according to the model action characteristic portrait when the action characteristic portrait of the current user is successfully matched with the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to personal parameters corresponding to the user identity information.
In some embodiments, the balloon includes a plurality of chambers arranged in parallel, each of the chambers having a separate vent.
In some embodiments, the sleep activity feature acquisition module comprises a barometric pressure sensor unit.
In some embodiments, each of the chambers is provided with at least one air pressure sensor unit for acquiring air pressure values and air pressure change values in the corresponding chamber.
In some embodiments, the sleep action characteristic obtaining module further includes an air pressure analyzing unit, configured to collect the air pressure value and the air pressure variation value in the corresponding chamber collected by the air pressure sensor unit, calculate characteristic values of the user in multiple dimensions according to the air pressure value and the air pressure variation value, and combine the characteristic values in all dimensions to generate an action characteristic image of the current user.
In some embodiments, the characteristic values of the multiple dimensions specifically include: the user weight load value, the user action amplitude value, the user action frequency value and the user action position distribution. Further preferably, the sleep movement characteristic obtaining module calculates the characteristic values of the multiple dimensions according to the magnitude value of the air pressure change in each chamber, the frequency of the air pressure change in each chamber, and the distribution position of the chamber in which the air pressure change exists.
In some embodiments, further comprising: and the storage module is used for storing the corresponding relation among the user identity information, the model action characteristic portrait, the user identity information and the model action characteristic portrait, and the model action characteristic portrait comprises a characteristic parameter distribution interval corresponding to the specific user identity information in the multiple dimensions.
In some embodiments, the storage module is further configured to store parameters for adjusting the hardness of the soft or hard adjustable mattress corresponding to specific user identity information.
In some embodiments, further comprising: and the manual control module is used for receiving control parameters input by a user and sending the control parameters to the intelligent control module so as to enable the intelligent control module to change the hardness of the soft and hard adjustable mattress according to the control parameters.
Based on the above purpose, in another aspect of the present application, a method for personalized sleep service for a user of an intelligent soft and hard adjustable mattress is provided, which includes:
acquiring action characteristics of a user during sleeping and generating an action characteristic portrait of the current user, wherein the action characteristic portrait comprises characteristic values of multiple dimensions;
matching the action characteristic portrait of the current user with a pre-accumulated and stored model action characteristic portrait associated with user identity information, and judging whether the matching is successful;
and when the action characteristic portrait of the current user is successfully matched with the model action characteristic portrait, determining corresponding user identity information according to the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to parameters corresponding to the user identity information.
In some embodiments, the matching the motion feature representation of the current user with a pre-stored model motion feature representation associated with user identity information, and determining whether the matching is successful specifically includes:
and calculating the absolute distance between the motion characteristic portrait and the model motion characteristic portrait according to the characteristic value of each dimension of the motion characteristic portrait of the current user and the characteristic value of the corresponding dimension of the model motion characteristic portrait associated with the user identity information, judging whether the obtained absolute distance is within a preset threshold range, and determining that the matching is successful when the absolute distance is within the preset threshold range.
According to the user sleep personalized service system and method of the intelligent soft and hard adjustable mattress, the identity of the user can be automatically identified and determined according to the action characteristic portrait of the user during sleep, the soft and hard adjustable mattress is changed according to the adjusting parameters corresponding to the identity information of the user, so that automatic personalized adjustment can be performed according to the individual requirements and personal habits of the user on the soft and hard of the mattress on the premise that the user does not need to log in the identity or directly intervene in the adjustment, and rest of the user and improvement of sleep quality and growth and development of teenagers are facilitated.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic structural diagram of a user sleep personalized service system of an intelligent soft and hard adjustable mattress according to a first embodiment of the present application;
fig. 2 is a schematic structural diagram of a user sleep personalized service system of an intelligent soft and hard adjustable mattress according to a second embodiment of the present application;
fig. 3 is a flowchart of a user sleep personalized service method of an intelligent soft-hard adjustable mattress according to a third embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The adjustable mattress of soft or hard in this application embodiment adopts the adjustable gasbag of soft or hard as the cushion core, through adjusting the atmospheric pressure in the adjustable gasbag of soft or hard, has realized the soft or hard adjustable of mattress, simultaneously, draws image automatic identification according to the action characteristic when the user sleeps and confirms user's identity to according to the personalized parameter that user's identity information corresponds, change the soft or hard degree of adjustable mattress of soft or hard, realized intelligent, the individualized control of the adjustable mattress of soft or hard.
Fig. 1 is a schematic structural diagram of a user sleep personalized service system of an intelligent soft and hard adjustable mattress according to an embodiment of the present application. As can be seen from the figures, as an embodiment of the present application, the system for personalized sleep service of a user of an intelligent soft and hard adjustable mattress includes:
And the air pressure adjusting device 105 is connected with the vent of the air bag and is used for performing inflation and deflation operation on the air bag, and the hardness of the soft and hard adjustable mattress can be accurately and controllably changed by adjusting the air pressure value in the air bag.
In this embodiment, the air pressure adjusting device 105 may be an inflator with a controllable switch air valve, the air valve is connected to the air vent of the air bag and is controlled to inflate and deflate the air bag for hardness adjustment; the inflator pump can increase the hardness of the mattress through inflation, and can also open the vent of the air bag through the air valve to discharge a proper amount of air in the air bag, so that the hardness of the mattress is reduced. Of course, the air pressure adjusting device 105 may also be other devices having the function of adjusting the air pressure of the air bag, or other forms of air pressure adjusting devices, and is not limited herein.
The sleep action characteristic acquiring module 102 is configured to acquire an action characteristic of a user during sleep and generate an action characteristic portrait of the current user, where the action characteristic portrait includes characteristic values of multiple dimensions.
In this embodiment, the sleep action characteristic acquiring module 102 includes an air pressure sensor disposed inside the air bag, and is configured to acquire an air pressure value and an air pressure variation value inside the air bag. Specifically, the air pressure sensor of the sleep action characteristic acquiring module 102 may be disposed on an inner sidewall of the air bag, or may also be disposed at a position close to the vent in the air bag, so as to acquire an air pressure parameter value in the air bag. The sleep action characteristic acquisition module 102 may further perform data temporary storage and air pressure analysis, may temporarily store an air pressure value and an air pressure change value acquired from a past time to a present time (for example, within a past 1 hour), and may further calculate characteristic values of a user in multiple dimensions according to the air pressure value and the air pressure change value, specifically, calculate characteristic values in the multiple dimensions according to an air pressure change amplitude value and an air pressure change chamber distribution position in the air bag, and a change frequency of the air pressure value in time, where the characteristic values may accurately reflect identity information of the user to a certain extent. For example, different weights of human bodies are different, and the pressure on the mattress is also different during sleeping, so that the weight load value information of the user can be determined by acquiring the great change of the air pressure value in the air bag relative to the no-load state when the human body is loaded, and further the weight load value information can be used for determining the identity of the user. For another example, different actions of the human body during sleeping have different amplitudes and frequencies, which are different amplitudes and frequencies of small changes of the air pressure in the inner bag of the mattress with adjustable hardness, and the user action amplitude value and the user action frequency value are calculated according to the amplitudes and the frequencies of the air pressure changes in the inner bag, so that the identity of the user can be determined. For example, the position distribution of the air pressure change in the whole mattress range is different due to different heights and body shapes of different users and different action positions of arms, legs, waists and the like, so that the action position distribution of the users can be determined according to the positions of the air pressure change, and the action position distribution can also be used for identifying the identity of the users. By acquiring the action features of all dimensions, namely the features in multiple dimensions, of the user during sleeping, the action feature image of the current user can be generated according to the features in multiple dimensions. Specifically, the sleep movement characteristic obtaining module 102 determines whether the air pressure change rate is greater than a preset first threshold according to the air pressure value and the air pressure change value obtained from the air pressure sensor, and if the air pressure change rate is greater than the preset first threshold, the current air pressure change is determined as a large-amplitude change, which indicates that the mattress enters a load state from a no-load state, so that the sleep movement characteristic obtaining module 102 may count an average value of the air pressure values in the load state for a period of time, and correspond the average value of the air pressure values to the weight load value of the user. Furthermore, if the air pressure change rate is judged to be less than or equal to the first threshold value in the load state, the air pressure change is judged to be generated due to the action of the user when the user lies on the mattress, and therefore the average amplitude and the average change frequency of the air pressure change in a certain time span are counted and used as characteristic values representing the action amplitude value and the action frequency value of the user. In addition, according to the air pressure changes sensed and recorded by the air pressure sensors at different positions of the mattress, the frequency of the air pressure changes in each position area of the mattress within a period of time is counted to form an array which is used as a characteristic value of the user action position distribution. And aggregating the characteristic values of the plurality of dimensions into an action characteristic image representing the sleep action characteristic of the current user.
A sleep motion feature matching module 103, configured to match the motion feature representation of the current user with a pre-accumulated and stored model motion feature representation associated with user identity information.
In this embodiment, after acquiring motion feature values in multiple dimensions when the current user sleeps and generating a motion feature portrait of the current user, the motion feature portrait of the current user may be matched with a pre-stored model motion feature portrait associated with user identity information. Because the model motion characteristic portrait corresponds to the user identity information, when the current motion characteristic portrait is successfully matched with the model motion characteristic portrait, the identity information of the current user can be determined.
And the intelligent control module 104 is used for determining corresponding user identity information according to the model action characteristic portrait when the action characteristic portrait of the current user is successfully matched with the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to personal parameters corresponding to the user identity information.
In this embodiment, after the identity information of the current user is determined, the air pressure value in the air bag can be changed according to a preset personal control parameter corresponding to the identity information, so as to change the air pressure value of the soft and hard adjustable mattress, and realize the personalized adjustment of the soft and hard. The control parameter may be a stored parameter corresponding to specific user identity information, for example, a control parameter manually set by a specific user each time may be stored, and a most frequently used parameter value thereof may be taken as an individual control parameter corresponding to the specific user; or selecting the control parameters adopted when the indexes are minimized (indicating that the user has deeper sleep degree and better rest effect) according to the records of the user action amplitude value and the user action frequency value as the personal control parameters of the user.
The user sleep personalized service system of the intelligent soft and hard adjustable mattress in the embodiment can determine the identity of the user according to the action characteristic image of the user during sleep, obtain the control parameter corresponding to the specific identity of the user according to the identity information of the user, and change the hardness of the soft and hard adjustable mattress, so that the automatic adjustment is realized according to the individual requirements of the user on the hardness of the mattress, and the user rest, the sleep quality improvement and the growth and development of teenagers are facilitated.
Fig. 2 is a schematic structural diagram of a user sleep personalized service system of an intelligent soft and hard adjustable mattress according to a second embodiment of the present application. In this embodiment, the personalized service system for sleep of the user of the intelligent soft and hard adjustable mattress includes:
the mattress comprises a mattress body 101, an air pressure adjusting device 105, a sleep action characteristic acquiring module 102, a sleep action characteristic matching module 103 and an intelligent control module 104, wherein the functions and the functions of the modules are the same as those in the first embodiment, and are not described again here.
In this embodiment, the air bag of the mattress body 101 includes a plurality of chambers arranged in parallel, each of the chambers has a separate vent, at least one air pressure sensor unit 1021 is arranged in each of the chambers, it is recommended that a plurality of air pressure sensor units 1021 located at different positions be arranged for each chamber, for example, one air pressure sensor 1021 is respectively arranged on the left side, the middle side and the right side of each chamber and used for acquiring an air pressure value and an air pressure change value in the corresponding chamber, and the air pressure sensor 1021 located at different positions adds own position information to the air pressure value and the air pressure change value acquired by itself.
The sleep action characteristic obtaining module 102 further includes an air pressure analyzing unit 1022, configured to summarize the air pressure value and the air pressure variation value in the corresponding chamber collected by the air pressure sensor unit 1021, calculate feature values of the user in multiple dimensions according to the air pressure value and the air pressure variation value, and combine the feature values in all dimensions to generate an action characteristic image of the current user. The current motion feature image includes feature values of multiple dimensions, where the feature values of the multiple dimensions specifically include: the user weight load value, the user action amplitude value, the user action frequency value and the user action position distribution. The air pressure analysis unit 1022 calculates the characteristic values of the multiple dimensions according to the magnitude value of the air pressure change in each chamber, the frequency of the air pressure change in each chamber, and the distribution position of the chamber in which the air pressure change exists.
In addition, the method further comprises the following steps: the storage module 106 is configured to store user identity information, a model motion feature representation, a correspondence between the user identity information and the model motion feature representation, where the model motion feature representation includes feature parameter distribution intervals corresponding to specific user identity information in the multiple dimensions. The storage module 106 is also used for storing information related to a specific user identityThe parameters of hardness of the soft and hard adjustable mattress are correspondingly adjusted, when the matching between the current motion characteristic portrait and the pre-stored model motion characteristic portrait associated with the user identity information is successful, the parameters corresponding to the model motion characteristic portrait can be called from the storage module 106, and the air pressure adjusting device 105 is further controlled to change the hardness of the soft and hard adjustable mattress, in this embodiment, the sleep motion characteristic acquisition module 102 is further configured to send the generated current user motion characteristic portrait to the storage module 106 for storage, the sleep motion characteristic matching module 103 is configured to self-organize the model motion characteristic portrait according to the motion characteristic portrait of the specific user acquired by the sleep motion characteristic acquisition module 102 each time, and also can periodically correct the model motion characteristic portrait stored in the storage module 106 according to the motion characteristic portrait of the current user stored each time, so that the matching error is reduced as much as possible in the subsequent matching process. Specifically, the action feature image generated by the sleep action feature acquisition module 102 for each current specific user is denoted as Ei-n,Ei-n+1...,EiEach portrait is a feature vector formed by feature values of the user in the plurality of dimensions; then randomly selecting k from n motion feature images as initial clustering centers, and counting as Ec1,Ec2,......,Eck(ii) a Calculation of Ei-n,Ei-n+1...,EiAnd Ec1,Ec2,......,EckDistance value V of feature vectori-Ck＝|Ei-EckI, and then Ei-n,Ei-n+1...,EiEach feature vector in E is assigned toc1,Ec2,......,EckThe cluster center among them that is closest to it; then, recalculating the clustering center of each cluster; then calculate Ei-n,Ei-n+1...,EiAnd E is calculated according to the distance value between each feature vector and the recalculated cluster centeri-n,Ei-n+1...,EiThe feature vector of each motion feature image in the image is reassigned to the nearest clustering center; then updating and maintaining the clustering center again; iterationIn the above process, until the updated clustering center does not change any more, the formed clusters form a model action characteristic portrait, and for each cluster, a characteristic parameter distribution interval corresponding to each of the multiple dimensions, such as a user weight load value distribution interval, a user action amplitude value and user action frequency value distribution interval, a user action position distribution interval, and the like, is counted. For new action feature images continuously acquired by the sleep action feature acquisition module 102, the sleep action feature matching module 103 may perform re-clustering periodically, so as to update the model action feature images.
Furthermore, the sleep movement feature matching module 103 calculates an absolute distance between the movement feature portrait and the model movement feature portrait according to feature values in dimensions of the movement feature portrait of the current user and feature values in corresponding dimensions of the model movement feature portrait associated with the user identity information (an average value of feature parameter distribution intervals of the model movement feature portrait in each dimension may be taken), determines whether the obtained absolute distance is within a preset threshold range, and determines that the matching is successful when the absolute distance is within the preset threshold range. And when the matching is successful, determining corresponding user identity information according to the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to parameters corresponding to the user identity information. The difference between this embodiment and the first embodiment is that the personalized service system for user sleep of the intelligent soft and hard adjustable mattress in this embodiment further includes a manual control module 107, which is configured to receive a control parameter input by a user, and send the control parameter to the intelligent control module, so that the intelligent control module changes the hardness of the soft and hard adjustable mattress according to the control parameter. The user can input control parameters in real time to change the hardness of the soft and hard adjustable mattress, so that the applicability of the intelligent soft and hard adjustable mattress related to the application is enhanced.
The user sleep personalized service system of the intelligent soft and hard adjustable mattress can determine the identity of the user according to the action characteristic image of the user in sleep and change the hardness of the soft and hard adjustable mattress according to the identity information of the user, so that the user can automatically adjust the hardness of the soft and hard adjustable mattress according to the individual requirements of the user on the hardness of the mattress, and rest of the user and improvement of sleep quality and growth and development of teenagers are facilitated. Meanwhile, a user is supported to manually control the hardness of the soft and hard adjustable mattress, so that the applicability of the intelligent soft and hard adjustable mattress related to the application is enhanced.
Fig. 3 is a flowchart of a user sleep personalized service method of an intelligent soft and hard adjustable mattress according to a third embodiment of the present application. As an embodiment of the application, the user sleep personalized service method of the intelligent soft and hard adjustable mattress comprises the following steps:
s301: the method comprises the steps of obtaining action characteristics of a user during sleeping and generating an action characteristic portrait of the current user, wherein the action characteristic portrait comprises characteristic values of multiple dimensions. Specifically, the sleep motion characteristic acquiring module 102 distributed in the air bag of the mattress can acquire the motion characteristic of the user during sleeping, and the sleep motion characteristic acquiring module 102 may include an air pressure sensor unit.
S302: and matching the action characteristic portrait of the current user with a pre-stored model action characteristic portrait associated with the user identity information, and judging whether the matching is successful.
Specifically, the absolute distance may be calculated by respectively comparing the feature value in each dimension of the motion feature image of the current user with the feature value in the corresponding dimension of the model motion feature image associated with the user identity information, and determining whether the obtained absolute distance is within a preset threshold range, and when the absolute distance is within the preset threshold range, determining that the matching is successful.
S303: and when the action characteristic portrait of the current user is successfully matched with the model action characteristic portrait, determining corresponding user identity information according to the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to parameters corresponding to the user identity information.
Besides selecting the most personalized control parameters according to the user identity information, whether the user belongs to a user with a special attention type can be determined according to the user identity information, for example, when the user who sleeps at present is determined to be a child, the air pressure value in the air bag of the soft and hard adjustable mattress can be adjusted, so that the hardness of the soft and hard adjustable mattress is increased, and the physiological development deformity of the child caused by over-softness of the soft and hard adjustable mattress for a long time is avoided.
In addition, the hardness of the soft and hard adjustable mattress can be manually adjusted by a user, so that the user experience is improved.
The user sleep personalized service method of the intelligent soft and hard adjustable mattress in the embodiment of the application can determine the identity of the user according to the action characteristic image of the user in sleep and change the hardness of the soft and hard adjustable mattress according to the identity information of the user, so that the automatic adjustment can be realized according to the individual requirement of the user on the hardness of the mattress, and the rest of the user and the improvement of the sleep quality and the growth and development of teenagers are facilitated.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (6)
1. The utility model provides a user's personalized service system of sleep of adjustable mattress of intelligence soft or hard which characterized in that includes:
the mattress comprises a mattress body, wherein an air bag is arranged in the mattress body; the airbag comprises a plurality of chambers arranged in parallel, each of said chambers having a separate vent;
the air pressure adjusting device is connected with the air vent of the air bag and is used for performing inflation and deflation operations on the air bag and changing the hardness of the mattress with adjustable softness and hardness by adjusting the air pressure value in the air bag;
the sleep action characteristic acquisition module is used for acquiring action characteristics of a user during sleep and generating an action characteristic portrait of the current user, wherein the action characteristic portrait comprises characteristic values of multiple dimensions;
the sleep action characteristic acquisition module comprises air pressure sensor units, and at least one air pressure sensor unit is arranged in a cavity of each air bag and used for acquiring an air pressure value and an air pressure change value in the corresponding cavity; the sleep action characteristic acquisition module temporarily stores the air pressure value and the air pressure change value acquired from the past to the present within a certain time period;
the sleep action characteristic acquisition module also comprises an air pressure analysis unit which is used for summarizing the air pressure value and the air pressure change value in the corresponding cavity collected by the air pressure sensor unit, calculating the characteristic values of the user in multiple dimensions based on the air pressure change amplitude value in the air bag, the distribution position of the cavity with air pressure change and the change frequency of the air pressure value in time according to the air pressure value and the air pressure change value, and combining the characteristic values in all dimensions to generate an action characteristic image of the current user; the characteristic values of the multiple dimensions specifically include: the user weight load value, the user action amplitude value, the user action frequency value and the user action position distribution are obtained; judging whether the air pressure change rate is larger than a preset first threshold value or not from the air pressure value and the air pressure change value acquired by the air pressure sensor, judging the current air pressure change to be a large-amplitude change if the air pressure change rate is larger than the first threshold value, and determining the weight load value of the user by acquiring the large-amplitude change of the air pressure value in the air bag relative to the no-load state when the human body is loaded; further, under the load state, if the air pressure change rate is less than or equal to the first threshold value, counting the average amplitude and the average change frequency of the air pressure change over a certain time length, and representing the user action amplitude value and the user action frequency value; counting the frequency of the air pressure change in each position area of the mattress within a period of time according to the air pressure change sensed and recorded by a plurality of air pressure sensors at different positions of the mattress, forming an array as a characteristic value of the action position distribution of the user, wherein the action position distribution indicates the difference of the action positions of the height, the body type and the arms, the legs and the waist of the user;
and the sleep action characteristic acquisition module also records the action characteristic image of the current user acquired each time as Ei-n,Ei-n+1...,EiEach portrait is a feature vector formed by feature values of the user in the plurality of dimensions; then randomly selecting k from n motion feature images as initial clustering centers, and counting as Ec1,Ec2,......,Eck(ii) a Calculation of Ei-n,Ei-n+1...,EiAnd Ec1,Ec2,......,EckDistance value V of feature vectori-Ck＝|Ei-EckI, and then Ei-n,Ei-n+1...,EiEach feature vector in E is assigned toc1,Ec2,......,EckThe cluster center among them that is closest to it; then, recalculating the clustering center of each cluster; then calculate Ei-n,Ei-n+1...,EiAnd E is calculated according to the distance value between each feature vector and the recalculated cluster centeri-n,Ei-n+1...,EiThe feature vector of each motion feature image in the image is reassigned to the nearest clustering center; then updating and maintaining the clustering center again; iterating the processes until the cluster center is not changed after updating, so that the formed cluster forms a model action characteristic portrait; the sleep action characteristic acquisition module also corrects the model action characteristic portrait periodically according to the action characteristic portrait of the current user stored every time;
the sleep action characteristic matching module is used for matching the action characteristic portrait of the current user with a pre-accumulated and stored model action characteristic portrait associated with user identity information;
and the intelligent control module is used for determining corresponding user identity information according to the model action characteristic portrait when the action characteristic portrait of the current user is successfully matched with the model action characteristic portrait, and adjusting the hardness of the soft and hard adjustable mattress according to parameters corresponding to the user identity information.
2. The system of claim 1, wherein the balloon comprises a plurality of chambers arranged in parallel, each chamber having a separate vent.
3. The system of claim 2, further comprising: and the storage module is used for storing the corresponding relation among the user identity information, the model action characteristic portrait, the user identity information and the model action characteristic portrait, and the model action characteristic portrait comprises a characteristic parameter distribution interval corresponding to the specific user identity information in the multiple dimensions.
4. The system of claim 3, further comprising: and the manual control module is used for receiving control parameters input by a user and sending the control parameters to the intelligent control module so as to enable the intelligent control module to change the hardness of the soft and hard adjustable mattress according to the control parameters.
5. A user sleep personalized service method of an intelligent soft and hard adjustable mattress is characterized by comprising the following steps:
acquiring the air pressure value and the air pressure change value in the corresponding cavity through an air pressure sensor unit in each cavity of the air bag of the mattress body; temporarily storing the air pressure value and the air pressure change value collected from the past to the present within a certain time period; collecting the air pressure value and the air pressure change value in the corresponding cavity collected by the air pressure sensor unit, calculating characteristic values of a user in multiple dimensions based on the air pressure change amplitude value in the air bag, the distribution position of the cavity with air pressure change and the change frequency of the air pressure value in time according to the air pressure value and the air pressure change value, and combining the characteristic values in all dimensions to generate an action characteristic image of the current user; the characteristic values of the multiple dimensions specifically include: the user weight load value, the user action amplitude value, the user action frequency value and the user action position distribution are obtained; judging whether the air pressure change rate is larger than a preset first threshold value or not from the air pressure value and the air pressure change value acquired by the air pressure sensor, judging the current air pressure change to be a large-amplitude change if the air pressure change rate is larger than the first threshold value, and determining the weight load value of the user by acquiring the large-amplitude change of the air pressure value in the air bag relative to the no-load state when the human body is loaded; further, under the load state, if the air pressure change rate is less than or equal to the first threshold value, counting the average amplitude and the average change frequency of the air pressure change over a certain time length, and representing the user action amplitude value and the user action frequency value; counting the frequency of the air pressure change in each position area of the mattress within a period of time according to the air pressure change sensed and recorded by a plurality of air pressure sensors at different positions of the mattress, forming an array as a characteristic value of the action position distribution of the user, wherein the action position distribution indicates the difference of the action positions of the height, the body type and the arms, the legs and the waist of the user;
recording the obtained action characteristic image of the current user as Ei-n,Ei-n+1...,EiEach portrait is a feature vector formed by feature values of the user in the plurality of dimensions; then randomly selecting k from n motion feature images as initial clustering centers, and counting as Ec1,Ec2,......,Eck(ii) a Calculation of Ei-n,Ei-n+1...,EiAnd Ec1,Ec2,......,EckDistance value V of feature vectori-Ck＝|Ei-EckI, and then Ei-n,Ei-n+1...,EiEach feature vector in E is assigned toc1,Ec2,......,EckThe cluster center among them that is closest to it; then, recalculating the clustering center of each cluster; then calculate Ei-n,Ei-n+1...,EiAnd E is calculated according to the distance value between each feature vector and the recalculated cluster centeri-n,Ei-n+1...,EiThe feature vector of each motion feature image in the image is reassigned to the nearest clustering center; then updating and maintaining the clustering center again; iterating the processes until the cluster center is not changed after updating, so that the formed cluster forms a model action characteristic portrait; periodically according to the time of each storageCorrecting the model action characteristic image by the action characteristic image of the previous user;
matching the action characteristic portrait of the current user with a pre-accumulated and stored model action characteristic portrait associated with user identity information, and judging whether the matching is successful;
and when the current action characteristic image is successfully matched with the model action characteristic image, determining corresponding user identity information according to the model action characteristic image, and adjusting the hardness of the soft and hard adjustable mattress according to parameters corresponding to the user identity information.
6. The method of claim 5, wherein the matching the current user motion feature representation with a pre-accumulated and stored model motion feature representation associated with user identity information, and determining whether the matching is successful, specifically comprises:
and calculating the absolute distance between the motion characteristic portrait and the model motion characteristic portrait according to the characteristic value of each dimension of the motion characteristic portrait of the current user and the characteristic value of the corresponding dimension of the model motion characteristic portrait associated with the user identity information, judging whether the obtained absolute distance is within a preset threshold range, and determining that the matching is successful when the absolute distance is within the preset threshold range.
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