Intelligent pillow adaptive adjustment method and system based on anti-interference capacitance sensing

Abstract

The application discloses an intelligent pillow adaptive adjustment method and system based on anti-interference capacitance sensing, aiming at improving the problems of low recognition accuracy, poor anti-interference ability and air bag support not conforming to ergonomics of existing intelligent pillows. The technical points include the following steps: S1, signal acquisition: the active shielding capacitance array arranged on the surface of the pillow body is used to collect the capacitance value distribution signal of the contact area between the human head and the pillow body surface, and the pressure sensor connected with the air path of each air bag is used to collect the air pressure value in each air bag; S2, sleep posture recognition; S3, height adjustment: according to the recognized sleep posture, the corresponding electric control valve is controlled to be opened or closed, and the air pump is started to inflate or the electric control valve is opened to deflate, so that each air bag is adjusted to the preset height value. The application can realize accurate recognition of the sleep posture, can ensure stable operation of the system in a complex sleep environment, and can make each region of the pillow adapt to the support requirements of different parts of the human head and neck.

Description

Technical Field

[0001] This invention relates to the field of smart home and Internet of Things technology, specifically to a smart pillow adaptive adjustment method and system based on anti-interference capacitive sensing. Background Technology

[0002] Existing high-end smart pillows typically have a sleeping posture recognition function and built-in adjustable airbags that can automatically adjust the inflation of the airbags according to the user's sleeping posture. In this way, users can obtain a more suitable pillow support height in different sleeping positions, which improves sleep comfort to a certain extent.

[0003] However, current smart pillows on the market still have many technical shortcomings that urgently need to be addressed: First, they rely on detecting the contact area between the shoulder and the pillow to distinguish between side-lying and back-lying positions. This method requires the user to accurately place their shoulder within the sensing area; once the body shifts or the pillow position changes during sleep, the accuracy drops sharply. Second, they are easily affected by external factors such as bedding humidity, environmental electromagnetic fields, and human sweat, leading to frequent misjudgments. This not only fails to achieve precise adjustment but may also disrupt the user's normal sleep due to frequent misadjustments. Third, the airbag structure design is not ergonomic. Most use a single or double airbag structure, which expands as a whole after inflation, presenting a shape of "bulging in the middle and collapsing around the edges." This cannot conform to the natural physiological curvature of the cervical spine. Long-term use of such pillows may not only fail to relieve cervical fatigue but may also aggravate neck muscle tension, increasing the risk of stiff neck and cervical spondylosis.

[0004] To address the aforementioned technical deficiencies in existing smart pillows, this invention proposes an adaptive adjustment method and system for smart pillows based on anti-interference capacitive sensing. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive adjustment method and system for a smart pillow based on anti-interference capacitive sensing, which aims to improve the problems of low recognition accuracy, poor anti-interference ability, and non-ergonomic airbag support of existing smart pillows.

[0006] This invention is implemented as follows: According to a first aspect of the present invention, the present invention provides an intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing, comprising: A smart pillow includes a pillow body, a sensing module, an execution module, a control module, and a first communication module. The sensing module, execution module, and first communication module are all electrically connected to the control module. The execution module includes an air pump disposed in the pillow body, N independent air bladders connected to the air pump, and an electrically controlled valve connected to each independent air bladder for controlling the inflation and deflation of the air bladders, where N≥3. The sensing module includes an active shielded capacitor array disposed on the surface of the pillow body and a pressure sensor connected to each air bladder via a separate air path. The active shielded capacitor array is used to collect the capacitance distribution signal of the contact area between the human head and the surface of the pillow body, and the pressure sensor is used to collect the air pressure value inside each air bladder. The mobile terminal includes a control APP and a second communication module. The second communication module is wirelessly connected to the first communication module to realize the communication connection between the mobile terminal and the smart pillow. The control APP is used to send control commands to the control module of the smart pillow.

[0007] Furthermore, the control module includes a control circuit board, an MCU chip mounted on the control circuit board, and a power management unit electrically connected to the control circuit board; the first communication module adopts a WiFi / BLE dual-mode communication module and is mounted on the control circuit board.

[0008] Furthermore, the power management unit includes a battery, a charging interface, and a charging management circuit. The charging interface is electrically connected to the battery through the charging management circuit. The charging management circuit is also electrically connected to the control module to transmit a charging status signal to the control module. The battery is electrically connected to the control module, the sensing module, the execution module, and the first communication module to supply power to each module.

[0009] Furthermore, the active shielded capacitor array consists of multiple capacitor sensing electrodes, and an active shielding strip is arranged around each capacitor sensing electrode. The capacitor sensing electrodes and the active shielding strip are both driven by AC current of the same frequency and phase and are at the same potential.

[0010] Furthermore, the N independent airbags are arranged in a matrix inside the pillow body, and the matrix arrangement is distributed in M ​​rows × L columns along the length and width directions of the pillow body, where M≥2, L≥3, and M×L=N.

[0011] According to a second aspect of the present invention, the present invention provides an adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing, using the above-mentioned adaptive adjustment system for a smart pillow based on anti-interference capacitive sensing, comprising the following steps: S1. Signal Acquisition: The capacitance distribution signal of the contact area between the human head and the surface of the pillow body is acquired by an active shielded capacitor array set on the surface of the pillow body. At the same time, the air pressure value inside each airbag is acquired by a pressure sensor connected to the air passage of each airbag. S2. Sleeping posture recognition: Determine dielectric constant distribution information based on the capacitance value distribution signal, and distinguish the medium type of the contact area as skin or hair based on the dielectric constant distribution information; determine pressure distribution information based on the air pressure value inside each airbag, and determine the head center of gravity position based on the pressure distribution information; fuse the medium type information and center of gravity position information to identify the current sleeping posture; S3. Height Adjustment: Based on the identified sleeping posture, control the corresponding electronic valve to open or close, cooperate with the start of the air pump to inflate, or open the electronic valve to deflate, and adjust each airbag to the preset height value.

[0012] Furthermore, it also includes step S4, sleep analysis: by integrating the air pressure fluctuation signals and capacitance value change signals of each airbag, the sleep quality is assessed. Specifically, this includes: by monitoring the frequency and amplitude of air pressure fluctuations and combining the timing signals of capacitance value changes, the frequency of turning over and body movement are identified, and the duration of deep sleep and sleep continuity indicators are assessed accordingly; a pillow fit score is generated based on the sleep quality assessment results, and the preset height parameters of each airbag are dynamically adjusted accordingly.

[0013] Furthermore, in step S2, when the medium type corresponding to the head's center of gravity position is hair, the current sleeping position is determined to be supine; when the medium type corresponding to the head's center of gravity position is skin, the current sleeping position is determined to be lateral.

[0014] Furthermore, in step S1, when the change in air pressure is less than or equal to a preset pressure threshold, the control module determines that the current touch is a non-sleep behavior and does not execute step S2 and subsequent steps; when the change in air pressure exceeds the preset pressure threshold, the control module confirms that it is a real lying down and executes step S2 and subsequent steps.

[0015] Furthermore, it also includes an initialization calibration step: when the system is powered on for the first time, it enters calibration mode and prompts the user to maintain a supine, left lateral, and right lateral position for a preset time, respectively, and records the capacitance reference value and the air pressure reference value of each airbag under each posture to establish a user-specific sleeping posture reference library; the reference library is used as the matching reference model for subsequent sleeping posture recognition; in step S3, the preset height value of each airbag is determined in the following way: the system automatically matches the corresponding default height parameter according to the recognized sleeping posture, or calls the custom height parameter preset by the user through the control APP on the mobile terminal.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention achieves accurate identification of sleeping posture by using a dual-modal fusion sensing of an active shielded capacitor array and a pressure sensor, combined with the difference in dielectric constant between skin and hair; the active shielding structure effectively suppresses environmental electromagnetic interference, ensuring stable operation of the system in complex sleep environments; and the matrix arrangement of multiple independent airbags and independent pressure adjustment in different zones allow each area of ​​the pillow to adapt to the support needs of different parts of the head and neck, conforming to the natural physiological curvature of the cervical spine. Attached Figure Description

[0017] Figure 1 This is a system module diagram of the intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing provided by the present invention; Figure 2 This is a structural block diagram of the control module of the present invention; Figure 3 This is a structural block diagram of the execution module of the present invention; Figure 4 This is a structural block diagram of the sensing module of the present invention; Figure 5 This is a schematic diagram of the layout of an independent airbag according to the present invention; Figure 6 This is a schematic diagram of the layout of an active shielded capacitor array according to the present invention; Figure 7 This is a flowchart of the adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing provided by the present invention.

[0018] In the diagram: 1. Pillow body; 2. Independent airbag; 3. Capacitive sensing electrode; 4. Active shielding strip. Detailed Implementation

[0019] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0020] The following description, in conjunction with the accompanying drawings and specific embodiments, provides further details: Example 1

[0021] This embodiment provides an intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing, such as... Figure 1As shown, the device includes a smart pillow and a mobile terminal that are communicatively connected. The smart pillow includes a pillow body 1, a sensing module, an execution module, a control module, and a first communication module. The mobile terminal includes a control app and a second communication module. The second communication module is wirelessly connected to the first communication module, enabling communication between the mobile terminal and the smart pillow. The control app can be a standalone app or a mini-program embedded in a third-party platform, such as a WeChat mini-program. The control app is used to send control commands to the control module of the smart pillow.

[0022] In this embodiment, the pillow body 1 is a home textile pillow, including a cover and a filling layer. The cover is detachably fitted onto the filling layer, which is a flexible rebound material layer. The flexible rebound material is selected from one or more of polyurethane foam, memory foam, latex, thermoplastic polyurethane elastomer, gel, bio-based polyurethane, EVA, or silicone. The filling layer has contoured grooves, within which a functional inner liner made of rigid or semi-rigid material is placed. A buffer positioning layer made of materials such as sponge, foam, or silicone is placed between the functional inner liner and the contoured grooves to limit the relative displacement of the functional inner liner within the filling layer. The functional inner liner is used to install and fix electrical components such as control circuit boards, air pumps, and batteries. Of course, a corresponding heat dissipation structure should also be provided in the functional inner liner.

[0023] like Figure 2 As shown, the control module includes a control circuit board, an MCU chip mounted on the control circuit board, and a power management unit electrically connected to the control circuit board. The MCU chip is the core computing and control element, used to perform signal processing, logical judgment, and decision control. The first communication module adopts a WiFi / BLE dual-mode communication module, which is also mounted on the control circuit board and electrically connected to the MCU chip through circuit board traces. It is controlled by the MCU chip to realize data transmission and reception with external devices.

[0024] The power management unit (PMU) powers the entire smart pillow and includes a battery, a charging interface, and a charging management circuit. The charging interface connects to an external power source and charging cable to power the battery. The output of the charging interface is electrically connected to the input of the battery via the charging management circuit. The charging management circuit manages and controls the battery charging process, including but not limited to adjusting the charging current and voltage, monitoring the charging status, and providing automatic shutdown protection when fully charged. Simultaneously, the charging management circuit is electrically connected to the MCU chip via circuit board traces to transmit charging status signals to the MCU chip in real time, including whether it is currently charging, the charging progress, and the battery level. This allows the MCU chip to execute appropriate power management strategies based on the battery level and send power level reminders to the user.

[0025] In addition, the control circuit board is equipped with an AC drive circuit. The DC power output from the battery is converted into AC current by the AC drive circuit and then used by electrical components that require AC power.

[0026] like Figure 3 and Figure 5 As shown, the execution module includes an air pump installed in the pillow body 1, N independent air bladders 2 connected to the air pump, and an electrically controlled valve connected to each independent air bladder 2 for controlling the inflation and deflation of the air bladders, where N ≥ 3. In this embodiment, N is 18, and the 18 independent air bladders 2 are arranged in a matrix inside the pillow body 1, with the matrix arrangement being 3 rows and 6 columns distributed along the length and width directions of the pillow body 1. The electrically controlled valves are solenoid valves, and the air pump is a silent air pump. Noise-reducing material is wrapped around the air pump to reduce the noise generated when the air pump is working. The air outlet of the air pump is connected to a main air pipe, from which N branch air pipes branch out. Each branch air pipe is connected to a corresponding independent air bladder, and each branch air pipe is connected in series with a solenoid valve for independently controlling the opening and closing of the branch air pipe. Each air bladder is also equipped with an exhaust valve for venting the gas inside the air bladder when it is necessary to lower the height of the air bladder. When an individual airbag needs to be inflated, the MCU chip controls the air pump to start, simultaneously opening the solenoid valve on the corresponding bronchus of that airbag and closing the other solenoid valves. Gas flows through the main air tube and the corresponding bronchus into the target airbag, causing it to inflate and rise. After inflating to the preset height, the MCU chip controls the air pump to stop working and closes the solenoid valve, maintaining the current air pressure in the airbag. When an individual airbag needs to be deflated, the MCU chip controls the corresponding exhaust valve to open, releasing the gas inside the airbag and causing it to contract and lower. Through this method, the present invention can control the inflation and deflation of any one or more of 18 individual airbags, achieving independent pressure regulation for each airbag.

[0027] like Figure 3 and Figure 6 As shown, the sensing module includes an active shielded capacitor array disposed on the surface of the pillow body 1 and pressure sensors connected to each air bladder via air paths. The active shielded capacitor array is used to collect the capacitance distribution signal of the contact area between the human head and the surface of the pillow body 1, and the pressure sensors are used to collect the air pressure value inside each air bladder. The active shielded capacitor array consists of multiple capacitive sensing electrodes 3, and an active shielding strip 4 is arranged around each capacitive sensing electrode 3. Both the capacitive sensing electrodes 3 and the active shielding strip 4 are driven by the same frequency and phase AC current output from the AC drive circuit, and the two maintain equipotential, thereby effectively suppressing environmental electromagnetic interference without affecting the capacitive sensing sensitivity. Example 2

[0028] This embodiment provides an adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing, using the adaptive adjustment system for a smart pillow based on anti-interference capacitive sensing provided in Embodiment 1, such as... Figure 7 As shown, the adaptive adjustment method includes the following steps: S1. Signal Acquisition: An active shielded capacitor array positioned on the surface of the pillow body 1 acquires the capacitance distribution signal of the contact area between the human head and the surface of the pillow body 1. Simultaneously, pressure sensors connected to the air passages of each air bladder acquire the air pressure value inside each air bladder. Specifically, when the human head lies on the pillow surface, the contact between the head and the surface of the pillow body 1 causes a change in the capacitance value of each capacitive sensing electrode located in the contact area. The active shielded capacitor array outputs the capacitance value of each electrode to the control module in the form of an electrical signal, forming a capacitance distribution signal. At the same time, the weight of the human head is transmitted through the pillow body 1 to each individual air bladder, causing a corresponding change in the air pressure inside each individual air bladder. Pressure sensors acquire the air pressure value of each individual air bladder in real time and transmit it to the control module. The acquisition of both signals is synchronized to ensure the consistency of the data used for subsequent sleeping posture recognition in time, avoiding data mismatch caused by minor head movements.

[0029] S2. Sleeping posture recognition: After receiving the capacitance distribution signal and air pressure value collected in step S1, the control module performs the following processing: First, the control module determines the dielectric constant distribution information based on the capacitance distribution signal. Specifically, since different media (skin, hair) have different dielectric constants, the capacitance change varies in different contact areas when the head comes into contact with the capacitor array. The control module compares the capacitance change of each electrode with a preset dielectric constant reference value to calculate the dielectric constant distribution of each contact area, thereby distinguishing the medium type of the contact area as skin or hair. The dielectric constant of skin is much greater than that of hair; therefore, the capacitance change caused by skin contact is much greater than that caused by hair contact, and the two have a clear distinction in signal characteristics.

[0030] Secondly, the control module determines the pressure distribution information based on the air pressure values ​​inside each airbag. Each airbag is independently arranged in different areas of the pillow body. When a person's head is lying on the pillow, the airbag corresponding to the position of the head's center of gravity experiences the greatest pressure, and its internal air pressure value is correspondingly the highest. By analyzing the spatial distribution of the air pressure values ​​of each airbag, the control module can determine the pressure distribution cloud map of the head on the pillow surface, and then calculate the position of the head's center of gravity.

[0031] Finally, the control module integrates the medium type information and the head center of gravity position information, and matches them with pre-stored supine and lateral reference models to identify the current sleeping posture. Specifically, when the medium type corresponding to the head center of gravity position is hair, the current sleeping posture is determined to be supine—because the back of the head (hair area) is in contact with the pillow when lying supine; when the medium type corresponding to the head center of gravity position is skin, the current sleeping posture is determined to be lateral—because the ear and side facial skin are in contact with the pillow when lying lateral. Compared with single capacitance or single pressure schemes, this fusion judgment mechanism significantly improves the accuracy and robustness of sleeping posture recognition, and even if the user experiences a small positional shift during sleep, it will not affect the recognition result.

[0032] Therefore, this invention is applicable to people with normal hair, but not to people who are bald or have very thin hair. When a user has sparse or no hair on their head, the difference in dielectric constant characteristics between the back of the head (skin) in a supine position and the ear area (skin) in a side-lying position is extremely small, making it difficult for the system to accurately identify sleeping posture by distinguishing between hair and skin.

[0033] S3. Height Adjustment: Based on the identified sleeping posture, control the corresponding electronic valve to open or close, cooperate with the start of the air pump to inflate, or open the electronic valve to deflate, and adjust each airbag to the preset height value.

[0034] Specifically, when an individual airbag needs to be inflated, the MCU chip controls the air pump to start, simultaneously opening the solenoid valve on the corresponding bronchus of that individual airbag and closing the other solenoid valves. Gas enters the target individual airbag through the main air tube and the corresponding bronchus, causing it to inflate and rise. When the airbag pressure reaches the preset height value, the MCU chip closes the solenoid valve and stops the air pump, maintaining the current airbag pressure. When an individual airbag needs to be deflated, the MCU chip controls the corresponding exhaust valve to open, releasing the gas inside the airbag and causing it to contract and lower to the target height. For scenarios requiring simultaneous adjustment of multiple airbags, the MCU chip can control the opening and closing of multiple solenoid valves and exhaust valves in parallel, achieving synchronous adjustment of multiple airbags, shortening adjustment time, and reducing interference with the user's sleep.

[0035] During the height adjustment process, the target air pressure value of each airbag is determined in the following ways: (1) The system automatically matches the corresponding default air pressure parameter according to the identified sleeping posture. The default air pressure parameter is preset based on general ergonomic data and mapped to the corresponding support height; (2) The system calls the user's custom air pressure parameter preset through the control APP of the mobile terminal. The user can finely adjust the softness and support height of each airbag according to personal preferences to meet personalized needs.

[0036] S4. Sleep Analysis: By integrating the air pressure fluctuation signals and capacitance value change signals of each airbag, sleep quality is assessed. Specifically, this includes: by monitoring the frequency and amplitude of air pressure fluctuations and combining the time sequence signals of capacitance value changes, the frequency of turning over and body movement are identified, thereby assessing the duration of deep sleep and sleep continuity indicators; a pillow fit score is generated based on the sleep quality assessment results, and the preset height parameters of each airbag are dynamically adjusted accordingly.

[0037] Specifically, the control module integrates the air pressure fluctuation signals and capacitance value change timing signals of each airbag to assess sleep quality. The air pressure fluctuation signals reflect the user's head movements and body position changes during sleep: when the user turns over or adjusts their sleeping position, the head's center of gravity changes, altering the pressure on each airbag, and consequently changing the frequency and amplitude of the air pressure fluctuation signals. The capacitance value change timing signals reflect changes in the contact between the user's head and the pillow from another perspective. By monitoring the frequency and amplitude of air pressure fluctuations and combining them with the capacitance value change timing signals, the control module identifies the user's turning frequency and body movement, thereby assessing deep sleep duration and sleep continuity indicators. Generally, periods with low turning frequency and minimal body movement correspond to deep sleep, while periods with high turning frequency and frequent body movement correspond to light sleep or wakefulness.

[0038] The system generates a pillow fit score based on the sleep quality assessment results and dynamically adjusts the preset height parameters of each airbag accordingly. For example, if the system detects that a user's sleep quality is low in a specific sleeping position for several consecutive days, it may mean that the current airbag height parameters corresponding to that sleeping position are not providing sufficient neck support or are causing discomfort. The system will automatically fine-tune the preset height values ​​of each airbag corresponding to that sleeping position and perform height adjustment according to the optimized parameters the next time the user falls asleep in that position. Through the above-mentioned closed-loop control mechanism of "identification-adjustment-analysis-optimization," the pillow can continuously adapt to changes in the user's sleep habits and physiological characteristics, achieving long-term adaptive optimization. Furthermore, upon first use or when the user initiates calibration, the system enters calibration mode. The control module prompts the user via a mobile app, instructing them to maintain a supine, left lateral, and right lateral position for preset durations (e.g., 30 seconds each). The system records the capacitance and airbag pressure baseline values ​​for each posture, establishing a user-specific sleeping posture baseline library. Subsequent sleeping posture recognition uses this baseline library as the matching benchmark model, rather than a generic model, thus eliminating recognition biases caused by individual differences in body shape, head shape, and head size, further improving recognition accuracy.

[0039] The anti-accidental touch principle of this invention is as follows: In step S1, the control module continuously monitors the air pressure values ​​of each airbag collected by the pressure sensor. When the change in air pressure value is less than or equal to a preset pressure threshold, such as when the user turns over and their arm briefly sweeps across the pillow surface, or when the user pats their limbs or experiences external vibration, the control module determines that the current touch is a non-sleep behavior and does not execute step S2 and subsequent height adjustment actions, thereby avoiding unnecessary inflation and deflation that could interfere with the user's sleep. When the change in air pressure value exceeds the preset pressure threshold, i.e., the weight of the head is clearly acting on the pillow, the control module confirms that the user is truly lying down and executes step S2 and subsequent steps. This anti-accidental touch logic combines capacitance change signals and pressure change signals at the system level for judgment: capacitance change is used to confirm the presence of contact, and pressure change is used to confirm whether the contact force reaches the level of a true lying down. This dual confirmation effectively prevents accidental triggering.

[0040] In summary, this invention achieves accurate sleeping posture recognition by combining dual-modal fusion sensing of an active shielded capacitor array and a pressure sensor, along with the difference in dielectric constant between skin and hair; it effectively suppresses environmental electromagnetic interference through an active shielding structure, ensuring stable operation of the system in complex sleep environments; and it utilizes a matrix arrangement of multiple independent airbags with independent pressure adjustment in different zones, allowing each area of ​​the pillow to adapt to the support needs of different parts of the head and neck, conforming to the natural physiological curvature of the cervical spine.

[0041] The above are merely preferred embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A smart pillow adaptive adjustment system based on anti-interference capacitive sensing, characterized in that, include: A smart pillow includes a pillow body, a sensing module, an execution module, a control module, and a first communication module. The sensing module, execution module, and first communication module are all electrically connected to the control module. The execution module includes an air pump disposed in the pillow body, N independent air bladders connected to the air pump, and an electrically controlled valve connected to each independent air bladder for controlling the inflation and deflation of the air bladders, where N≥3. The sensing module includes an active shielded capacitor array disposed on the surface of the pillow body and a pressure sensor connected to each air bladder via a separate air path. The active shielded capacitor array is used to collect the capacitance distribution signal of the contact area between the human head and the surface of the pillow body, and the pressure sensor is used to collect the air pressure value inside each air bladder. The mobile terminal includes a control APP and a second communication module. The second communication module is wirelessly connected to the first communication module to realize the communication connection between the mobile terminal and the smart pillow. The control APP is used to send control commands to the control module of the smart pillow.

2. The intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing according to claim 1, characterized in that, The control module includes a control circuit board, an MCU chip mounted on the control circuit board, and a power management unit electrically connected to the control circuit board; the first communication module is a WiFi / BLE dual-mode communication module and is mounted on the control circuit board.

3. The intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing according to claim 2, characterized in that, The power management unit includes a battery, a charging interface, and a charging management circuit. The charging interface is electrically connected to the battery through the charging management circuit. The charging management circuit is also electrically connected to the control module and is used to transmit charging status signals to the control module. The battery is electrically connected to the control module, the sensing module, the execution module, and the first communication module respectively and is used to supply power to each module.

4. The intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing according to claim 1, characterized in that, The active shielded capacitor array consists of multiple capacitor sensing electrodes, and an active shielding strip is arranged around each capacitor sensing electrode. The capacitor sensing electrodes and the active shielding strip are both driven by AC current of the same frequency and phase and are at the same potential.

5. The intelligent pillow adaptive adjustment system based on anti-interference capacitive sensing according to claim 1, characterized in that, The N independent airbags are arranged in a matrix inside the pillow body. The matrix arrangement is distributed in M ​​rows × L columns along the length and width of the pillow body, where M≥2, L≥3, and M×L=N.

6. A smart pillow adaptive adjustment method based on anti-interference capacitive sensing, using the smart pillow adaptive adjustment system based on anti-interference capacitive sensing as described in any one of claims 1-5, characterized in that, Includes the following steps: S1. Signal Acquisition: The capacitance distribution signal of the contact area between the human head and the surface of the pillow body is acquired by an active shielded capacitor array set on the surface of the pillow body. At the same time, the air pressure value inside each airbag is acquired by a pressure sensor connected to the air passage of each airbag. S2. Sleeping posture recognition: Determine dielectric constant distribution information based on the capacitance value distribution signal, and distinguish the medium type of the contact area as skin or hair based on the dielectric constant distribution information; determine pressure distribution information based on the air pressure value inside each airbag, and determine the head center of gravity position based on the pressure distribution information; fuse the medium type information and center of gravity position information to identify the current sleeping posture; S3. Height Adjustment: Based on the identified sleeping posture, control the corresponding electronic valve to open or close, cooperate with the start of the air pump to inflate, or open the electronic valve to deflate, and adjust each airbag to the preset height value.

7. The adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing according to claim 6, characterized in that, It also includes step S4, sleep analysis: by combining the air pressure fluctuation signals and capacitance value change signals of each airbag, the sleep quality is assessed. Specifically, this includes: by monitoring the frequency and amplitude of air pressure fluctuations and combining the time sequence signals of capacitance value changes, the frequency of turning over and body movement are identified, and the duration of deep sleep and sleep continuity indicators are assessed accordingly; a pillow fit score is generated based on the sleep quality assessment results, and the preset height parameters of each airbag are dynamically adjusted accordingly.

8. The adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing according to claim 6, characterized in that, In step S2, when the medium type corresponding to the head's center of gravity position is hair, the current sleeping position is determined to be supine; when the medium type corresponding to the head's center of gravity position is skin, the current sleeping position is determined to be lateral.

9. The adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing according to claim 6, characterized in that, In step S1, when the change in air pressure is less than or equal to a preset pressure threshold, the control module determines that the current touch is a non-sleep behavior and does not execute step S2 and subsequent steps; when the change in air pressure exceeds the preset pressure threshold, the control module confirms that it is a real lying down and executes step S2 and subsequent steps.

10. The adaptive adjustment method for a smart pillow based on anti-interference capacitive sensing according to claim 6, characterized in that, It also includes an initialization calibration step: when the system is powered on for the first time, it enters calibration mode and prompts the user to maintain a supine, left lateral, and right lateral position for a preset time, and records the capacitance reference value and the air pressure reference value of each airbag under each posture to establish a user-specific sleeping posture reference library; the reference library is used as the matching reference model for subsequent sleeping posture recognition; in step S3, the preset height value of each airbag is determined in the following way: the system automatically matches the corresponding default height parameter according to the recognized sleeping posture, or calls the custom height parameter preset by the user through the control APP on the mobile terminal.

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