Intelligent sleep-aiding furniture based on biological feature recognition

Abstract

The invention relates to the technical field of smart home, in particular to intelligent sleep-aiding furniture based on biological feature recognition, such as a deck chair, a bed and a cradle, a supporting part is provided with a plurality of supporting legs, and a weighing sensor array is embedded into the supporting legs; the weighing sensor array is used for detecting weight data borne by the intelligent sleep-aiding furniture; the shaking part is elastically connected with the supporting part; the driving mechanism is arranged on the back side of the shaking part and comprises a control module, a motor and a shaking module; the motor is connected with the shaking module and used for driving the shaking module to act to drive the shaking part to shake; the control module obtains weight data in real time and adjusts the rotating speed of the motor according to the weight data through a built-in PID control algorithm so that the action frequency of the shaking module can be matched with the borne weight data. According to the technical scheme, the shaking frequency of the furniture can automatically adapt to the weight of the user, manual setting of the user is not needed, the use experience of the user is greatly improved, and the requirements of the user for convenience and comfort are met.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to smart sleep-aiding furniture based on biometric recognition. Background Art

[0002] In the field of smart home and healthcare devices, smart sleep-aid furniture, as a device designed to improve users' sleep quality, still faces many technical challenges. For example, reclining chairs currently face challenges with rocking modes and operational adaptability: existing reclining chairs often have fixed, single rocking modes, making it difficult to flexibly adjust to the physical characteristics and actual needs of different users. Furthermore, the adaptation process is cumbersome and complex, requiring users to spend considerable time and effort learning and mastering the operation. This significantly reduces the user experience and fails to meet their needs for convenience and comfort. Summary of the Invention

[0003] In view of this, the object of the present invention is to provide an intelligent sleep-aiding furniture based on biometric recognition to solve the problem that the shaking mode of the intelligent sleep-aiding furniture in the prior art is fixed and single.

[0004] According to a first aspect of an embodiment of the present invention, there is provided an intelligent sleep-aiding furniture based on biometric recognition, comprising:

[0005] Supporting part, shaking part, load cell array and driving mechanism;

[0006] The support portion has a plurality of support legs, and the weighing sensor array is embedded in the support legs;

[0007] The shaking portion is elastically connected to the supporting portion;

[0008] The weighing sensor array is used to detect the weight data carried by the smart sleep-aiding furniture;

[0009] The driving mechanism is arranged on the back side of the shaking part, and the driving mechanism includes a control module, a motor and a shaking module; the motor is connected to the shaking module to drive the shaking module to move and thus drive the shaking part to shake;

[0010] The control module acquires the weight data in real time and uses a built-in PID control algorithm to adjust the speed of the motor according to the weight data so that the frequency of the shaking module action matches the weight data.

[0011] Preferably, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0012] A biological information collection module provided on the shaking part is used to collect the user's heart rate data and body movement data when the user uses the smart sleep-aiding furniture;

[0013] The control module obtains the user's heart rate data and body movement data in real time, and analyzes the user's current sleep stage based on the user's heart rate data and body movement data;

[0014] The control module adjusts the speed of the motor through a PID control algorithm according to the analysis result of the sleep stage and the weight data.

[0015] Preferably, the driving mechanism further includes:

[0016] A double-level shock-absorbing structure, including a first spring group and a second spring group;

[0017] The first spring group is connected to the shaking module via a first connecting component, and the second spring group is connected to the first spring group via a second connecting component; the second spring group is also connected to the back side of the shaking part.

[0018] Preferably, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0019] An environmental data acquisition module and a temperature adjustment device provided on the shaking portion;

[0020] The environmental data acquisition module and the temperature adjustment device are both electrically connected to the control module;

[0021] The environmental data acquisition module is used to collect temperature and humidity information around the intelligent sleep-aiding furniture; the control module controls the working mode of the temperature adjustment device according to the temperature and humidity information;

[0022] The temperature regulating device is a heating device or a ventilation device.

[0023] Preferably, when the weight data is less than a first threshold, the control module and the weighing sensor array enter a minimum power consumption mode, and other electrical components enter a power-off standby mode.

[0024] Preferably, the control module is further configured to control the motor to stop running when the weight data is greater than a second threshold.

[0025] Preferably, the control module is further configured to derive the weight distribution on the intelligent sleep-aid furniture according to the weight data detected by the weighing sensor array, and adjust the rotation speed of the motor according to the weight distribution and the weight data.

[0026] Preferably, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0027] An audio playback module is provided on the shaking portion, and the audio playback module is used to communicate with a user's smart device, obtain audio data from the smart device, and play the audio data.

[0028] Preferably, the control module is also communicatively connected to a cloud server;

[0029] The user's smart terminal is connected to the cloud server for communication, and the smart terminal is used to send the shaking adjustment weight to the cloud server; when adjusting the speed of the motor, the control module adjusts the speed of the motor according to the weight data and the shaking adjustment weight.

[0030] Preferably, when the weight data is greater than a first threshold, the weight data is uploaded to the cloud server;

[0031] If the cloud server does not record the binding relationship between the weight data and the shake adjustment weight, binding the weight data to the current shake adjustment weight;

[0032] If the cloud server records the binding relationship between the weight data and the shake adjustment weight, the shake adjustment weight corresponding to the weight data is sent to the control module.

[0033] The technical solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0034] It is understandable that the technical solution shown in the present invention relates to a smart sleep-aiding furniture based on biometric identification, wherein the support portion has a plurality of support legs, and a weighing sensor array is embedded in the support legs; the weighing sensor array is used to detect the weight data carried by the smart sleep-aiding furniture; the shaking portion is elastically connected to the support portion; the driving mechanism is arranged on the back side of the shaking portion, and the driving mechanism includes a control module, a motor and a shaking module; the motor is connected to the shaking module to drive the shaking module to move and thus drive the shaking portion to shake; the control module obtains weight data in real time, and uses a built-in PID control algorithm to adjust the speed of the motor according to the weight data, so that the frequency of the shaking module movement matches the weight data. The technical solution shown in the present invention is that the shaking frequency of the furniture can automatically adapt to the user's weight without the need for manual setting by the user, which greatly improves the user experience and meets the user's needs for convenience and comfort.

[0035] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0037] Figure 1 is a schematic diagram showing an intelligent sleep-aiding recliner based on biometric recognition according to an exemplary embodiment;

[0038] Figure 2 is a side view of a smart sleep-aiding recliner based on biometric recognition according to an exemplary embodiment;

[0039] Figure 3 is a flowchart of using smart sleep-aiding furniture according to an exemplary embodiment;

[0040] Figure 4 is a schematic diagram of an intelligent sleep-aiding cradle according to an exemplary embodiment;

[0041] Figure 5 FIG. 1 is a schematic diagram of a smart sleep-aiding bed according to an exemplary embodiment. DETAILED DESCRIPTION

[0042] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0043] The biometrically recognized intelligent sleep-aiding furniture shown in this embodiment can be any furniture that can produce a sleep-aiding effect by shaking, such as a recliner, a bed, a cradle, or the like.

[0044] In one embodiment, see Figure 1 and Figure 2 Taking a recliner as an example, a smart sleep-aiding recliner based on biometric recognition is provided, which is composed of a support part 10, a shaking part 20, a weighing sensor array 30 and a driving mechanism 40. The support part 10 has a plurality of supporting legs, see Figure 1 and Figure 2There are four supporting legs, which can be set according to the specific force of the recliner, and the number is not limited here. The weighing sensor array 30 is embedded in the supporting legs, and the weighing sensor array 30 is used to detect the weight data carried by the smart sleep-aiding recliner. Preferably, a non-slip rubber pad is installed at the bottom of the supporting legs to increase the friction with the ground and prevent the recliner from sliding. At the same time, the rubber pad has a certain elasticity, which can reduce the impact of external vibration on the sensor measurement. The shaking part 20 is elastically connected to the support part 10. The support part 10 and the shaking part 20 are tubular components or plate-like components. The main part of the support part 10 is supported on the ground by the supporting legs, and the shaking part 20 can realize up and down reciprocating motion by using the connection point with the support part 10 as a fulcrum. When the user uses the smart sleep-aiding recliner, the shaking part 20 is used to support the user's body. A mat can be laid above the shaking part 20 to improve the user's comfort when using it.

[0045] The drive mechanism 40 is located on the back side of the shaking unit 20 and includes a control module (not shown), a motor (not shown), and a shaking module 41. The motor is connected to the shaking module 41 to drive the shaking module 41, thereby causing the shaking unit 20 to shake. The motor's drive shaft is connected to the shaking module 41, driving the shaking module 41. When the shaking module 41 is in motion, the shaking unit 20 generates forced vibrations at the same frequency as the shaking module 41, providing the user with a quick and relaxing experience.

[0046] In one embodiment, the shaking module 41 can be an eccentric wheel connected to the output shaft of the motor. The motor is used to drive the eccentric wheel to rotate. During the continuous rotation of the eccentric wheel, the position of the center of mass of the eccentric wheel relative to its rotation center constantly changes, thereby generating a periodically changing centrifugal force. This centrifugal force can drive the shaking part 20 to shake back and forth up and down. Within one rotation cycle of the eccentric wheel, the magnitude and direction of the centrifugal force change smoothly with the rotation of the eccentric wheel. This continuity and stability make the shaking of the shaking part 20 more natural and smooth, further eliminating abrupt impact forces and setbacks, and especially minimizing the impact of the shaking part 20 when turning at the upper and lower extreme positions of the shaking, further providing a more comfortable experience for the user. The shaking module 41 can have multiple forms. The eccentric wheel shown in this embodiment is only one form.

[0047] The control module acquires the weight data in real time, and uses a built-in PID control algorithm to adjust the speed of the motor according to the weight data, so that the frequency of the shaking module 41 matches the weight data.

[0048] The control module is the core of this technical solution. It obtains the weight data of the recliner through the weighing sensor array 30, and then calculates the frequency of the shaking module 41 based on the weight data. The speed of the motor is adjusted according to this frequency, so that the shaking frequency of the shaking part 20 can change with the change of the weight data on the recliner. In actual practice, the weight of the user is not fixed. For example, the forced gravity changes before and after meals, when wearing clothes and hats, and when using mobile phones. There may be multiple users in a family who will use this smart sleep-aid recliner. Due to different weights, the user's comfort level with the shaking frequency will also be different. This technical solution can change the shaking frequency as the weight data changes, so that the device does not require human operation and accurately and automatically adapts to the forced vibration. It can truly adapt as soon as you lie down, providing users with a convenient and comfortable experience.

[0049] See also Figure 4 and Figure 5 , respectively show an intelligent sleep-aid cradle and an intelligent sleep-aid bed, which also have the same structure as the above-mentioned intelligent sleep-aid recliner: a support part, a rocking part, a weighing sensor array and a driving mechanism; the support part has multiple supporting legs, and the weighing sensor array is embedded in the supporting legs; the rocking part is elastically connected to the support part; the weighing sensor array is used to detect the weight data carried by the bed or cradle; the driving mechanism is arranged on the back side of the rocking part (taking the bed as an example, when a person uses the bed, he lies on the top of the bed board, that is, the front side, and accordingly, the driving mechanism is arranged under the bed, that is, the back side), the driving mechanism includes a control module, a motor and a rocking module; the motor is connected to the rocking module to drive the rocking module to move and thereby drive the rocking part to rock; the control module obtains the weight data in real time, and uses the built-in PID control algorithm to adjust the speed of the motor according to the weight data, so that the frequency of the rocking module action matches the weight data.

[0050] In another embodiment, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0051] The biological information collection module 50 provided on the shaking part 20 is used to collect the user's heart rate data and body movement data when the user uses the intelligent sleep-aiding furniture.

[0052] Take the recliner as an example, see Figure 1 Preferably, the bio-information collection module 50 is set at a position corresponding to the chest position of the user when lying down, which can more accurately collect the user's heart rate data and body movement data.

[0053] To collect motion data, the biometric information acquisition module 50 can integrate a three-axis MEMS accelerometer to accurately capture motion signals when the user moves in the recliner. Furthermore, a piezoelectric load cell array 30 can be used to assist in detecting motion data. For example, when a user rolls over, the shift in their center of gravity causes the difference in the pressure sensor outputs of different supporting legs to exceed a threshold (e.g., ±5kg), which serves as an auxiliary criterion for motion events. The number and intensity of body movements per unit time can be calculated to determine the user's sleep stage. Generally speaking, light sleep is associated with a higher frequency of body movements, while deep sleep is associated with a significantly lower frequency.

[0054] To collect heart rate data, the biometric information acquisition module 50 can collect the user's heartbeat signal and analyze it to determine the user's heart rate variability (HRV). HRV is an important indicator that reflects the activity of the autonomic nervous system and quantitatively assesses the tone and balance of the cardiac sympathetic and vagal nerves. By analyzing the changing patterns of HRV values (for example, HRV is generally higher and fluctuates more gently during deep sleep), the user's sleep stage can be determined.

[0055] The control module acquires the user's heart rate data and body movement data in real time, analyzes the user's current sleep stage based on the user's heart rate data and body movement data, and adjusts the speed of the motor using a PID control algorithm based on the sleep stage analysis result and the weight data.

[0056] In practice, the control module has a built-in sleep cycle model that divides sleep into light sleep, deep sleep, rapid eye movement (REM) and other stages, providing a theoretical framework for data analysis. The control module can analyze the user's current sleep stage based on body movement data and heart rate data, and then adjust the drive motor speed according to the sleep stage, adjusting parameters such as shaking amplitude and frequency in real time. For example, a gentle, low-frequency shaking mode may be used in the light sleep stage, while the shaking frequency is reduced or switched to a more stable state in the deep sleep stage.

[0057] At the same time, the control module combines the user's current sleep stage with weight data, and can dynamically adjust the shaking frequency according to the user's individual differences and real-time physiological status, thereby improving the universality of the sleep-aiding effect. For the flow chart, see Figure 3 .

[0058] In another embodiment, see Figure 2 , the driving mechanism 40 further includes:

[0059] The double-level shock-absorbing structure includes a first spring group 43 and a second spring group 45; the first spring group 43 is connected to the shaking module 41 through a first connecting component 42, and the second spring group 45 is connected to the first spring group 43 through a second connecting component 44; the second spring group 45 is also connected to the back side of the shaking part 20.

[0060] The dual-level damping design amplifies the flexible coupling between driving force and shaking while also saving motor power. Because a rigid connection doesn't allow for flexible response, the flexibility of the dual-level damping and the flexible shaking mechanism of this technical solution create forced co-oscillation, which consumes less power and therefore saves motor power.

[0061] The dual-level shock-absorbing structure stores kinetic energy when the motor drives the rocking section 20 upward. During downward movement, the spring releases potential energy to assist in the drive, leaving the motor only to replenish the energy consumed by damping. This creates an energy-saving mode of passive energy storage and active replenishment. This design avoids the energy waste caused by impact forces in rigid connections while also reducing motor load through the resonant properties of forced co-oscillation. Ultimately, this achieves a dual breakthrough in power consumption optimization and flexible motion.

[0062] In another embodiment, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0063] An environmental data acquisition module 60 and a temperature adjustment device disposed on the shaking portion 20 are both electrically connected to the control module. The environmental data acquisition module 60 is used to collect temperature and humidity information surrounding the intelligent sleep-aid furniture. The control module controls the operating mode of the temperature adjustment device based on this temperature and humidity information. The temperature adjustment device can be a heating device or a ventilation device. For example, the heating device has three operating modes: high (45°C), medium (43°C), and low (41°C).

[0064] In specific practice, taking a recliner as an example, the setting of the environmental data acquisition module 60 and the temperature adjustment device helps the user to use the recliner more comfortably, maintains the user's body temperature in a comfortable environment, and improves the user's sleep quality.

[0065] In another embodiment, when the weight data is less than a first threshold, the control module and the weighing sensor array 30 enter a minimum power consumption mode, and other electrical components enter a power-off standby mode.

[0066] The smart sleep-aid furniture shown in this embodiment, taking a recliner as an example, can set the first threshold to 40kg. When the user is not using the recliner, the user places clothes, mobile phones and other sundries on the recliner. Since the 40kg threshold is not reached, the recliner will not shake on its own. Only when the user lies on it and the user's weight exceeds 40kg, the recliner will enter the working mode. At the same time, when the user stands up after using the recliner, the recliner will also enter the standby mode because the weight data changes to below 40kg. Figure 3 Through such a design, the power consumption of the smart sleep-aiding recliner can be reduced when it is in standby mode, and at the same time, abnormal startup of the smart sleep-aiding recliner can be avoided.

[0067] In another embodiment, the control module is further configured to control the motor to stop running when the weight data is greater than a second threshold.

[0068] The smart sleep-aid furniture shown in this embodiment, taking a recliner as an example, can set the second threshold to 120kg. Since the smart sleep-aid recliner has a design load range, usually 40-110kg, when the user weighs too much, the motor needs to output a larger torque to maintain the shaking action, which may cause abnormal problems and thus cause safety accidents.

[0069] In another embodiment, the control module is further configured to obtain a weight distribution on the intelligent sleep-aiding furniture according to the weight data detected by the weighing sensor array 30 , and adjust the rotation speed of the motor according to the weight distribution and the weight data.

[0070] Taking a recliner as an example, by detecting the user's weight distribution on the recliner, we can understand the user's current posture and other data to a certain extent, and then use the weight distribution as a variable to adjust the motor speed, so that the user can use the recliner comfortably in various postures, bringing users a good user experience.

[0071] In another embodiment, the intelligent sleep-aiding furniture based on biometric recognition further includes:

[0072] The audio playing module is provided on the shaking part 20 , and is used to communicate with the user's smart device, obtain audio data from the smart device, and play the audio data.

[0073] In practice, the audio playback module can be positioned at the head. When the user lies down, with their head resting on the headrest of the rocking unit 20, the audio playback module can accurately play the user-selected audio data (e.g., sleep-inducing audio) to achieve a hypnotic effect. Preferably, the audio playback module can include built-in sleep-inducing audio such as white noise, making it easier for the user to directly select and use it. The audio playback module can also use a bone conduction speaker for a more comfortable user experience.

[0074] In another embodiment, the control module is also connected to a cloud server; the user's smart terminal is connected to the cloud server, and the smart terminal is used to send a shake adjustment weight to the cloud server; when the control module adjusts the speed of the motor, it adjusts the speed of the motor according to the weight data and the shake adjustment weight.

[0075] In practice, a cloud server can be set up, and users can interact with the control module through the cloud server to achieve data exchange. Since the smart sleep-aid furniture designed by this technical solution does not require user adjustment in most cases, but since everyone's feelings are different, the shaking experience can be adjusted to the desired shaking experience by adjusting the shaking adjustment weight. After setting the shaking adjustment weight, the control module will take the shaking adjustment weight into account when adjusting the speed of the motor, thereby providing the user with a shaking experience that is more suitable for the user.

[0076] Based on the above embodiment, when the weight data is greater than a first threshold, the weight data is uploaded to the cloud server. If the cloud server does not record the binding relationship between the weight data and the shake adjustment weight, the weight data is bound to the current shake adjustment weight. If the cloud server records the binding relationship between the weight data and the shake adjustment weight, the shake adjustment weight corresponding to the weight data is sent to the control module.

[0077] Taking a recliner as an example, the smart sleep-aiding furniture may not be used by the same user. For example, when a family includes multiple members, since each member has a different feeling about shaking, multiple shaking adjustment weights can be set for each weight data to adapt to multiple users. When a user uses the recliner shown in this embodiment for the first time, for example, the user weighs 50 kg, the cloud server will record the weight, and the user sets the weight when lying on the recliner, and 50 kg will be bound to the weight. When multiple users in the family use the recliner, multiple sets of binding data will appear, for example, 50 kg is bound to the first weight, and 140 kg is bound to the second weight. In this way, when multiple users use the recliner crosswise, the control module can determine the weight selected by the user currently using the recliner based on the weight data, thereby bringing each user a better use experience, and there is no need for the user to manually switch the weight setting.

[0078] In addition, since the user's weight is not constant but will not change suddenly, a range method can be used to judge the current user. The range can be set to 50kg±3kg. For example, when the user used the recliner last time, it was 50kg, and when the user used the recliner next time, it was 52kg. The cloud server will assume that it is the same user.

[0079] The technical solution shown in the present invention has significant advantages in terms of shaking adaptation, sleep monitoring, function integration, power consumption management, etc. compared with the existing technology, and effectively solves the problems of fixed shaking mode, cumbersome operation, and insufficient comfort of existing smart sleep-aid furniture. Specifically, in this technical solution, the shaking frequency matches the user's weight and does not require manual setting, which solves the cumbersome operation problem of the existing technology in which the shaking mode is fixed and requires manual adjustment by the user. Compared with the existing technology that only relies on a fixed mode, this solution can be dynamically adjusted according to the user's real-time physiological state (heart rate and body movement data) to improve the universality of the sleep-aiding effect. The design of the double-level shock-absorbing structure saves power consumption compared to the rigid connection design, while reducing the shaking impact and improving comfort. By controlling the operation of the heating or ventilation device through the collected temperature and humidity information, the user's comfort in different environments is improved, further promoting sleep.

[0080] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0081] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" is at least two.

[0082] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0083] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0084] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0085] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0086] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0087] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0088] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A smart sleep-aiding furniture based on biometric recognition, characterized in that: include: Supporting part, shaking part, load cell array and driving mechanism; The support portion has a plurality of support legs, and the weighing sensor array is embedded in the support legs; The shaking portion is elastically connected to the supporting portion; The weighing sensor array is used to detect the weight data carried by the smart sleep-aiding furniture; The driving mechanism is arranged on the back side of the shaking part, and the driving mechanism includes a control module, a motor and a shaking module; the motor is connected to the shaking module to drive the shaking module to move and thus drive the shaking part to shake; The control module acquires the weight data in real time and uses a built-in PID control algorithm to adjust the speed of the motor according to the weight data so that the frequency of the shaking module action matches the weight data.

2. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: Also includes: A biological information collection module provided on the shaking part is used to collect the user's heart rate data and body movement data when the user uses the smart sleep-aiding furniture; The control module obtains the user's heart rate data and body movement data in real time, and analyzes the user's current sleep stage based on the user's heart rate data and body movement data; The control module adjusts the speed of the motor through a PID control algorithm according to the analysis result of the sleep stage and the weight data.

3. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: The driving mechanism further includes: A double-level shock-absorbing structure, including a first spring group and a second spring group; The first spring group is connected to the shaking module via a first connecting component, and the second spring group is connected to the first spring group via a second connecting component; the second spring group is also connected to the back side of the shaking part.

4. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1, characterized in that: Also includes: An environmental data acquisition module and a temperature adjustment device provided on the shaking portion; The environmental data acquisition module and the temperature adjustment device are both electrically connected to the control module; The environmental data acquisition module is used to collect temperature and humidity information around the smart sleep-aiding furniture; The control module controls the working mode of the temperature regulating device according to the temperature and humidity information; The temperature regulating device is a heating device or a ventilation device.

5. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: When the weight data is less than a first threshold, the control module and the weighing sensor array enter a minimum power consumption mode, and other electrical components enter a power-off standby mode.

6. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: The control module is further configured to control the motor to stop running when the weight data is greater than a second threshold.

7. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: The control module is further configured to determine the weight distribution on the intelligent sleep-aiding furniture based on the weight data detected by the weighing sensor array, and to adjust the rotation speed of the motor based on the weight distribution and the weight data.

8. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1 is characterized in that: Also includes: An audio playback module is provided on the shaking portion, and the audio playback module is used to communicate with a user's smart device, obtain audio data from the smart device, and play the audio data.

9. The intelligent sleep-aiding furniture based on biometric recognition according to claim 1, characterized in that: The control module is also connected to the cloud server for communication; The user's smart terminal is connected to the cloud server for communication, and the smart terminal is used to send the shaking adjustment weight to the cloud server; When adjusting the rotation speed of the motor, the control module adjusts the rotation speed of the motor according to the weight data and the shaking adjustment weight.

10. The intelligent sleep-aiding furniture based on biometric recognition according to claim 9, characterized in that: When the weight data is greater than a first threshold, uploading the weight data to the cloud server; If the cloud server does not record the binding relationship between the weight data and the shake adjustment weight, binding the weight data to the current shake adjustment weight; If the cloud server records the binding relationship between the weight data and the shake adjustment weight, the shake adjustment weight corresponding to the weight data is sent to the control module.

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