Intelligent sleep pillow and automatic adjusting method

Abstract

The invention discloses an intelligent sleep pillow and an automatic adjusting method, and the intelligent sleep pillow is characterized in that the intelligent sleep pillow comprises an NFT natural frequency module, a negative ion module, an air bag module, a multimedia module, a sleep monitoring module, a communication module, a sleep analysis module and a main control module. The intelligent pillow is converted into a control signal for adjusting the height and the inclination angle of the intelligent pillow, and the height, the inclination angle and the like of the intelligent pillow are controlled through feedback and loop operation, so that the intelligent pillow can be adjusted to the most comfortable state of the user for each user, the sleep quality of each user is improved, and the user experience is improved. And the humanized design and the automatic control degree of the intelligent pillow are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home equipment, and in particular to a smart sleeping pillow. Background Art

[0002] In modern society, people are increasingly feeling the convenience and comfort brought by the popularity of smart homes, and people's requirements for smart homes are not limited to the automation of homes, but are more in line with people's life needs. Sleep is the most effective way to relieve fatigue, but the fast pace of life and social competitiveness bring people a lot of pressure. This pressure can easily cause people to have sleep problems, especially the problem of difficulty falling asleep, which has become a problem for more and more people and seriously affects people's sleep quality. Therefore, smart homes that help sleep have become a widespread demand among people.

[0003] Therefore, it is urgent to design a smart sleeping pillow to overcome the deficiencies of one or more of the above-mentioned prior arts. Summary of the invention

[0004] The technical solution adopted by the present invention to solve the above-mentioned technical problems is: an intelligent sleep pillow, characterized in that it includes: an NFT natural frequency module, a negative ion module, an airbag module, a multimedia module, a sleep monitoring module, a communication module, a sleep analysis module, and a main control module; the NFT natural frequency module, the negative ion module, the airbag module, the multimedia module, and the sleep monitoring module are respectively connected to the main control module through the communication module, the NFT natural frequency module is used to generate electromagnetic waves of a predetermined frequency, the airbag module is used to adjust the sleeping posture and perform massage, the sleep analysis module is connected to the sleep monitoring module, and the sleep analysis module is used to analyze the sleep state according to the monitoring data of the sleep monitoring module.

[0005] In a preferred embodiment, the NFT natural frequency module has an NFT natural frequency chip, and the electromagnetic wave frequency generated by the NFT natural frequency chip is 7.83 Hz.

[0006] In a preferred embodiment, the negative ion module has a negative ion generator, which can generate negative ions at every 1 cm 3 More than 20,000 negative oxygen ions are generated.

[0007] In a preferred embodiment, it also includes: a pillow body, the pillow body having a supporting neck and a traction part, the airbag module including an airbag and an air pump, the airbag and the air pump are connected through an air pipe, the air pump is electrically connected to the main control module, and the airbag is arranged on one side of the supporting neck adjacent to the traction part.

[0008] In a preferred embodiment, the sleep monitoring module has at least one piezoelectric sensor for monitoring the human heart rate, respiratory rate, body movement, and snoring.

[0009] In a preferred embodiment, the communication module communicates in one or more of the ways of WIFI, Bluetooth, and serial port.

[0010] On the other hand, an automatic adjustment method for the intelligent sleep pillow according to any one of the above embodiments is provided, including the following steps:

[0011] S1. Turn on the power supply and turn on the multimedia module to assist in accelerating sleep according to requirements;

[0012] S2. Turn on the NFT natural frequency module to emit natural frequency electromagnetic waves and turn on the negative ion module to form a negative oxygen ion field;

[0013] S3. Obtain sleep data through the sleep monitoring module;

[0014] S4. Calculate the obtained sleep state data through the sleep analysis module and convert it into a control signal for adjusting the airbag module;

[0015] S5. Implement adjustment and control according to the control signal for adjusting the airbag module, feedback the adjusted sleep state data and the pillow state, and return to step S4 for recalculation until the best sleep state is met.

[0016] In a preferred embodiment, in step S4, the obtained sleep state data is calculated through the expression f(H,Q) = A(H’,Q’,P,L,J,K,Hmax,Hmin,Qmin,Qmax) and converted into a control signal for adjusting the height and tilt angle of the intelligent pillow. Among them, Q’ is the current tilt angle of the intelligent pillow, P is the pressure position, L is the snoring detection value, J is the body angle detection value; K is the cervical curvature, -1. The expression operation process implemented through loop operation is as follows:

[0017] Step S401. Perform an operation of adding 1 or subtracting 1 to the height H of the intelligent pillow;

[0018] Step S402. Determine whether the absolute value of the cervical curvature K is less than 1. If so, jump to step S403; otherwise, return to step S401;

[0019] Step S403. Perform an operation of adding 1 or subtracting 1 to the tilt angle Q of the intelligent pillow;

[0020] Step S404. Determine whether the snoring detection value L is true. If so, return to step S403; if not, jump to step S405;

[0021] Step S405: Store the current height H, tilt angle Q, pressure position P, snore detection value L, and body angle detection value J, and implement optimization processing for the height H and tilt angle Q. Use the support vector machine algorithm to adjust the data increase and decrease of the height H and tilt angle Q of the intelligent pillow. Use linear calculation to find the range of the output height H and tilt angle Q when the pressure position P and body angle detection value J remain unchanged, and determine whether the decision boundary in the stored data is found. The decision boundary is a hyperplane, and the hyperplane represents the values of the optimal output height H and tilt angle Q when the pressure position P and body angle detection value J are the same. If not, return to step S401. If so, determine whether the absolute value of the cervical curvature K is less than 1. If the absolute value of the cervical curvature K being less than 1 is false, return to step S401. If the absolute value of the cervical curvature K being less than 1 is true, determine whether the snore detection value L is true. If the snore detection value L is true, return to step S401. If the snore detection value L is false, end the optimization process.

[0022] The beneficial effects of the present invention are as follows: By obtaining sleep state data through sleep posture recognition, then calculating it, converting it into control signals for adjusting the height and tilt angle of the intelligent pillow, and controlling the height and tilt of the intelligent pillow through feedback and loop operations, the intelligent pillow can be adjusted to the most comfortable state for each user, thereby improving the sleep quality of each user and enhancing the humanized design and automation control level of the intelligent pillow. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic flowchart of the second aspect of the present invention;

[0024] Figure 2 It is a flowchart of sleep state data calculation of the second aspect of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be given in conjunction with the accompanying drawings. Many specific details are set forth in the following description to fully understand the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0026] In the description of the embodiments of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "connection" and "installation" should be understood in a broad sense. For example, "connection" can be a detachable connection or a non-detachable connection; it can be a direct connection or an indirect connection through an intermediate medium. In addition, "communication" can be a direct communication or an indirect communication through an intermediate medium. Among them, "fixing" means being connected to each other and the relative position relationship after connection remains unchanged. The orientation terms mentioned in the embodiments of the present invention, such as "inside", "outside", "top", "bottom", etc., are only with reference to the direction of the accompanying drawings. Therefore, the orientation terms used are for better and clearer description and understanding of the embodiments of the present invention, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation to the embodiments of the present invention.

[0027] In the embodiments of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0028] In the embodiments of the present invention, "and / or" is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0029] The reference to "one embodiment" or "some embodiments" etc. described in this specification means that a specific feature, structure, or characteristic described in combination with the embodiment is included in one or more embodiments of the present invention. Thus, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in another way. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0030] The present invention provides an intelligent sleep pillow, which is characterized by comprising: an NFT natural frequency module, a negative ion module, an airbag module, a multimedia module, a sleep monitoring module, a communication module, a sleep analysis module, and a main control module; the NFT natural frequency module, the negative ion module, the airbag module, the multimedia module, and the sleep monitoring module are respectively connected to the main control module through the communication module. The NFT natural frequency module is used to generate electromagnetic waves of a predetermined frequency. The airbag module is used to adjust the sleeping posture and perform massage. The sleep analysis module is connected to the sleep monitoring module, and the sleep analysis module is used to analyze the sleep state according to the monitoring data of the sleep monitoring module.

[0031] Specifically, the NFT natural frequency module is used to generate electromagnetic waves with a frequency of 7.83 Hz. The earth and the ionosphere can form a resonant cavity, and there is a special resonant frequency in the cavity. This resonant frequency is a beneficial pulsating rhythm wave, and its frequency is 7.83 Hz, which happens to be the same as the frequency of the hippocampus in the mammalian brain. This part of the human brain is responsible for important memory and survival functions, and our nervous system will also respond to the electromagnetic pulses of NFT. Therefore, our health and survival depend on the natural energy of the 7.83 Hz frequency given to the human body and our interaction with it. Under the interaction between the human body and the natural frequency, it can improve the body balance, enhance muscle strength, increase body flexibility, make the mood more relaxed, improve the body's immunity, reduce mental stress, enhance the flexibility of bones and muscles, improve the exercise endurance of people, and instantly enhance the exercise explosive power, etc.; the negative ion module has a negative oxygen ion generator for generating negative oxygen ions, and can generate more than 20,000 negative oxygen ions per 1 cm 3 The negative oxygen ion field can improve sleep, adjust blood pressure, smooth breathing, disinfect and sterilize, eliminate static electricity, purify blood, regulate immunity, etc.; the multimedia module is used to play sleep-aiding music when falling asleep to accelerate falling asleep; the sleep monitoring module will monitor the sleep state and conditions, such as sleep duration, deep sleep ratio, light sleep ratio, rapid eye movement ratio, deep sleep continuity, number of awakenings, breathing quality, etc. The sleep analysis module uses artificial intelligence AI to analyze the aforementioned sleep state to judge the sleep quality, and the sleep analysis module will, according to the conditions in the data, activate the airbag module, and adjust the sleeping posture of the user through the traction of the airbag module to keep the user in a posture with unobstructed respiratory tract, reducing the situation of snoring during sleep, and the airbag module can also be used to achieve a massage effect. Specifically, the airbag module includes an airbag and an air pump. The air pump is used to inflate the airbag, and the air pump is electrically connected to the main control module and is controlled by the main control module. When the air pump inflates the airbag, through the gentle undulation of the airbag, it traction the human head to stretch the neck, thereby achieving a massage effect.

[0032] Such as Figure 1 - Figure 2As shown in the figure, the present invention also provides an automatic adjustment method for an intelligent pillow, including the following steps:

[0033] S1. Turn on the power supply and turn on the multimedia module to assist in accelerating sleep according to requirements;

[0034] S2. Turn on the NFT natural frequency module to emit natural frequency electromagnetic waves, and turn on the negative ion module to form a negative oxygen ion field;

[0035] S3. Obtain sleep data through the sleep monitoring module;

[0036] S4. Calculate the obtained sleep state data through the sleep analysis module and convert it into a control signal for adjusting the airbag module;

[0037] S5. Implement adjustment and control according to the control signal for adjusting the airbag module, feedback the sleep state data and the pillow state after adjustment, and return to step S4 for recalculation until the best sleep state is met;

[0038] Specifically, in this embodiment, computer technologies such as sound processing technology and machine vision technology, as well as mechanical control technology, are also adopted to realize the automatic adjustment of the pillow shape according to the user's state; among them, the sound processing technology has been widely used in electronic products, such as typical applications like voice search and voice-to-text in mobile phones. In this example, the switch can be controlled by voice. For example, the host can be awakened through a specified command (such as Siri on an Apple mobile phone), and then specific operations can be executed through prefabricated specific commands (the commands can be stored locally or in the cloud). To prevent the mis-triggering of voice, voice commands will not be recognized before the wake-up command is received. Then, in this example, the sound collector can preferably be turned on by voice control, and the sound collector will not be turned on to receive and recognize voice commands before the wake-up command is received.

[0039] In this example, step S3 is used to obtain sleep state data, specifically, to obtain the user's sleep state data through a sound collector, a pressure sensor, and a camera. The user's sleep state includes but is not limited to whether the head is resting on the pillow, whether snoring (commonly known as snoring), and whether lying flat or lying on the side; wherein the sound collector includes at least one microphone, and the at least one microphone is arranged in an arc within a certain radius around the center point in the sound collector, that is, at least one microphone is distributed in an arc or fan shape around the center point, and the radius of its distribution can be preset or adjusted according to actual needs; similarly, the number of the camera is at least one, and the at least one camera is also arranged in an arc within a certain radius around the center point, that is, at least one camera is distributed in an arc or fan shape around the center point, and the radius of its distribution can be preset or adjusted according to actual needs. Such a design can make sound collection and posture detection more comprehensive and accurate, and can accurately capture the user's sleeping posture and collect sound, avoiding errors in sleep state data.

[0040] The pressure sensor in this example is an array-type pressure sensor, and the pressure sensor realizes pressure sensing and position detection by controlling the combination of a mechanical switch or an array-type chip.

[0041] In step S4 of this example, output data is calculated based on the user's sleep status data, and the output data is the calculated values ​​of the height and inclination of the pillow that should be adjusted. At the same time, the output control state is obtained in real time, and the output control state is the current height and current inclination of the smart pillow, thereby controlling the height and inclination of the smart pillow to avoid snoring, or adjusting its height according to side sleeping and flat lying to improve cervical spine posture and other problems.

[0042] In step S5 described in this example, the optimal sleeping state refers to: in the case of snoring, the height and inclination of the smart pillow are adjusted so that the user no longer snores; in the case of lying flat or lying on the side, the height and inclination of the smart pillow are adjusted so that the curvature of the natural curvature of the cervical spine is less than 1 degree.

[0043] In step S405 described in this example, the optimization process for the height H and the tilt angle Q is: the height H and the tilt angle Q of the smart pillow are adjusted by data increase or decrease, and linear calculation is used to find the range of the output height H and the tilt angle Q when the pressure position P and the body angle detection value J remain unchanged, wherein, during the linear calculation, the constraint data increase or decrease adjustment conforms to Hmin.

[0044] In this example, the support vector machine algorithm can be used to increase or decrease the data of the height H and the tilt angle Q of the intelligent pillow. The core of the support vector machine algorithm is the standard SVM algorithm. Its main purpose is to find the decision boundary in the stored data, also known as the hyperplane. This hyperplane represents the values of the height H and the tilt angle Q for the best output when the pressure position P and the body angle detection value J are the same. Such a design enables the intelligent algorithm to quickly find the optimal values after the user has used it for a period of time and accumulated data.

[0045] In addition to the above calculation method, step S4 can also be implemented by means of mathematical modeling. Specifically, the parameter values of the mathematical model are calculated through the corresponding relationship between the set sleep state data and the characteristics of the user's actual sleep state data, so as to establish a mathematical transformation model for the adjustment of the intelligent pillow. This method requires training and modeling. The greater the number of training times, the higher the accuracy of the modeling.

[0046] To sum up, the sleep state data is obtained through sleep posture recognition, and then calculated and converted into control signals for adjusting the height and tilt angle of the intelligent pillow. Through feedback and loop operations, the height and tilt of the intelligent pillow are controlled, so that the intelligent pillow can be adjusted to the most comfortable state for each user, thereby improving the sleep quality of each user and enhancing the humanized design and automatic control degree of the intelligent pillow.

[0047] The present invention is not limited solely to what is described in the specification and embodiments. Therefore, additional advantages and modifications can be easily achieved by those skilled in the art. Thus, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details, representative devices, and illustrated examples shown and described herein.

Claims

1. A smart sleeping pillow, characterized in that: include: NFT natural frequency module, negative ion module, airbag module, multimedia module, sleep monitoring module, communication module, sleep analysis module, main control module; the NFT natural frequency module, the negative ion module, the airbag module, the multimedia module, and the sleep monitoring module are respectively connected to the main control module through the communication module, the NFT natural frequency module is used to generate electromagnetic waves of a predetermined frequency, the airbag module is used to adjust the sleeping posture and perform massage, the sleep analysis module is connected to the sleep monitoring module, and the sleep analysis module is used to analyze the sleep state according to the monitoring data of the sleep monitoring module.

2. The smart sleeping pillow according to claim 1, characterized in that: The NFT natural frequency module has an NFT natural frequency chip, and the electromagnetic wave frequency generated by the NFT natural frequency chip is 7.83 Hz.

3. The smart sleeping pillow according to claim 1, characterized in that: The negative ion module has a negative ion generator, which can generate negative ions every 1 cm 3 More than 20,000 negative oxygen ions are generated.

4. The smart sleeping pillow according to claim 1, characterized in that: Also includes: The pillow body comprises a supporting neck portion and a traction portion, the airbag module comprises an airbag and an air pump, the airbag is connected to the air pump through an air pipe, the air pump is electrically connected to the main control module, and the airbag is arranged on one side of the supporting neck portion adjacent to the traction portion.

5. The smart sleeping pillow according to claim 1, characterized in that: The sleep monitoring module has at least one piezoelectric sensor for monitoring human heart rate, respiratory rate, body movement, and snoring.

6. The smart sleeping pillow according to claim 1, characterized in that: The communication module uses one or more of WIFI, Bluetooth, and serial port to communicate.

7. An automatic adjustment method for a smart sleeping pillow according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Turn on the power and enable the multimedia module to help accelerate sleep as needed; S2. Turn on the NFT natural frequency module to emit natural frequency electromagnetic waves, and turn on the negative ion module to form a negative oxygen ion field; S3, obtaining sleep data through a sleep monitoring module; S4, calculating the acquired sleep state data through the sleep analysis module and converting it into a control signal for adjusting the airbag module; S5. Adjust and control are performed according to the control signal for adjusting the airbag module, and the sleep state data and pillow state after adjustment are fed back, and the step S4 is returned to perform recalculation until the best sleep state is met.

8. The automatic adjustment method according to claim 7, characterized in that: In step S4, the acquired sleep state data is calculated by expression f(H,Q)=A(H',Q',P,L,J,K,Hmax,Hmin,Qmin,Qmax) and converted into a control signal for adjusting the height and tilt angle of the smart pillow, wherein Q' is the current tilt angle of the smart pillow, P is the pressure position, L is the snoring detection value, J is the body angle detection value; K is the cervical curvature, -1, and the expression operation process realized by loop operation is as follows: Step S401, adding 1 or subtracting 1 from the height H of the smart pillow; Step S402, determining whether the absolute value of the cervical curvature K is less than 1, if so, jumping to step S403, otherwise returning to step S401; Step S403, adding 1 or subtracting 1 to the tilt angle Q of the smart pillow; Step S404, determine whether the snoring detection value L is true, if so, return to step S403, if not, jump to step S405; Step S405, storing the current height H, tilt angle Q, pressure position P, snoring detection value L and body angle detection value J, and optimizing the height H and tilt angle Q. The support vector machine algorithm is used to increase or decrease the data of the height H and tilt angle Q of the smart pillow. The linear calculation is used to find the range of the output height H and tilt angle Q when the pressure position P and the body angle detection value J remain unchanged, and it is determined whether the decision boundary in the stored data is found. The decision boundary is a hyperplane, and the hyperplane represents the values ​​of the optimal output height H and tilt angle Q when the pressure position P and the body angle detection value J are the same. If not, return to step S401. If so, determine whether the absolute value of the cervical curvature K is less than 1; if the absolute value of the cervical curvature K is less than 1, it is false, then return to step S401; if the absolute value of the cervical curvature K is less than 1, it is true, then determine whether the snoring detection value L is true; if the snoring detection value L is true, then return to step S401; if the snoring detection value L is false, then end the optimization process.

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