Learning state monitoring device, method and medium based on millimeter wave radar

Abstract

The present invention discloses a learning state monitoring device, method and medium based on millimeter wave radar, wherein the learning state monitoring device comprises a monitoring device body, wherein the monitoring device body is provided with a sensor module for detecting environmental data of a current learning area; a millimeter wave radar module for transmitting millimeter wave electromagnetic signals to a human body and receiving echo signals; a control module for extracting target data corresponding to a human body position according to the echo signals, and obtaining writing state information and learning posture information of a human body in the current learning area according to the target data and environmental data, and then outputting a learning state monitoring result. The embodiment of the present invention combines millimeter wave radar signals and sensor signals to comprehensively monitor the writing state and learning posture of a human body in a learning area, thereby effectively improving the accuracy of learning state monitoring and avoiding the problem of infringing user privacy.

Description

Technical Field

[0001] The present invention relates to the field of learning monitoring technology, and in particular to a learning status monitoring device, method and medium based on millimeter wave radar. Background Art

[0002] Children and adolescents often develop bad habits during their studies due to their weak self-control ability, such as sitting in an improper posture, not concentrating their brains, looking too close to their eyes, etc. These bad habits can easily lead to fatigue, myopia, and affect learning efficiency. Therefore, monitoring these bad habits in the learning process so that they can be corrected in time will help children and adolescents grow up healthily. The commonly used monitoring method is to monitor through cameras, but installing cameras in the learning area has the risk of infringing user privacy, and it is easy to be blocked by dirt, obstacles, etc., which greatly reduces the monitoring accuracy.

[0003] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a learning status monitoring device, method and medium based on millimeter wave radar, aiming to solve the problem in the prior art that learning status monitoring may infringe on user privacy and has low accuracy.

[0005] The technical solution of the present invention is as follows:

[0006] A learning status monitoring device based on millimeter-wave radar comprises a monitoring device body, wherein a sensor module, a millimeter-wave radar module and a control module are arranged in the monitoring device body; the sensor module is connected to the control module, and is used to detect environmental data of a current learning area and output it to the control module; the millimeter-wave radar module is connected to the control module, and is used to transmit millimeter-wave electromagnetic signals to a human body in the learning area and receive echo signals, and output the received echo signals to the control module; the control module is used to extract target data corresponding to a human body position according to the echo signals, and to obtain writing status information and learning posture information of a human body in the current learning area according to the target data and environmental data, and then output a learning status monitoring result.

[0007] In the millimeter-wave radar-based learning status monitoring device, the sensing module includes an acceleration sensor, which is connected to the control module and is used to detect acceleration data of the current learning area and output it to the control module.

[0008] In the learning status monitoring device based on millimeter wave radar, the control module includes an extraction unit, a writing judgment unit, a posture judgment unit and a monitoring unit; the extraction unit is connected to the millimeter wave radar module, and is used to search for the maximum amplitude area in the echo signal and extract the target echo data corresponding to the maximum amplitude area; the writing judgment unit is connected to the acceleration sensor and the extraction unit, and is used to obtain the writing status information of the human body in the current learning area according to the acceleration data and the target echo data; the posture judgment unit is connected to the extraction unit, and is used to obtain the learning posture information of the human body in the current learning area according to the target echo data; the monitoring unit is connected to the writing judgment unit and the posture judgment unit, and is used to perform data analysis on the writing status information and the learning posture information and then output the learning status monitoring result.

[0009] In the millimeter wave radar-based learning status monitoring device, the writing judgment unit is specifically used to judge whether a human body in the current learning area is writing and the duration of the writing according to the acceleration data and the target echo data.

[0010] In the millimeter-wave radar-based learning status monitoring device, the posture judgment unit is specifically used to obtain the distance between the human body and the monitoring device body in the current learning area according to the target echo data, and identify the current posture type and the corresponding posture duration according to the distance.

[0011] In the millimeter-wave radar-based learning status monitoring device, the monitoring unit is specifically used to determine whether the current posture type is a preset bad posture and output sitting posture prompt information when the duration of the preset bad posture is greater than a first preset time, and output fatigue prompt information when the writing duration is greater than a second preset time.

[0012] Another embodiment of the present invention further provides a method for monitoring a learning state based on a millimeter wave radar, which comprises the following steps:

[0013] Detect the environmental data of the current learning area;

[0014] Transmit millimeter wave electromagnetic signals to the human body in the learning area and receive echo signals;

[0015] Target data corresponding to the human body position is extracted according to the echo signal, and writing state information and learning posture information of the human body in the current learning area are acquired according to the target data and environmental data, and then a learning state monitoring result is output.

[0016] In the millimeter wave radar-based learning state monitoring method, the detecting of environmental data of the current learning area specifically includes:

[0017] Detect the acceleration data of the current learning area.

[0018] In the learning state monitoring method based on millimeter wave radar, the target data corresponding to the human body position is extracted according to the echo signal, and the writing state information and learning posture information of the human body in the current learning area are obtained according to the target data and the environmental data, and then the learning state monitoring result is output, including:

[0019] Searching for a maximum amplitude region in the echo signal and extracting target echo data corresponding to the maximum amplitude region;

[0020] Acquire writing state information of a human body in a current learning area according to the acceleration data and the target echo data;

[0021] Acquire learning posture information of a human body in a current learning area according to the target echo data;

[0022] After data analysis is performed on the writing state information and the learning posture information, a learning state monitoring result is output.

[0023] Another embodiment of the present invention further provides a non-volatile computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by one or more processors, the one or more processors can execute the learning status monitoring method based on millimeter-wave radar as described above.

[0024] Beneficial effects: The present invention discloses a learning status monitoring device, method and medium based on millimeter-wave radar. Compared with the prior art, the embodiments of the present invention comprehensively monitor the writing status and learning posture of the human body in the learning area by combining millimeter-wave radar signals and sensor signals, which effectively improves the accuracy of learning status monitoring and avoids the problem of infringing user privacy. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0026] Figure 1 A three-dimensional diagram of a learning state monitoring device based on millimeter-wave radar provided by the present invention;

[0027] Figure 2 An exploded diagram of a learning state monitoring device based on millimeter wave radar provided by the present invention;

[0028] Figure 3 A structural block diagram of a learning state monitoring device based on millimeter wave radar provided by the present invention;

[0029] Figure 4 A structural block diagram of a preferred embodiment of a learning state monitoring device based on millimeter wave radar provided by the present invention;

[0030] Figure 5 A detection schematic diagram of an application embodiment of a learning state monitoring device based on millimeter wave radar provided by the present invention;

[0031] Figure 6 A flowchart of a learning state monitoring method based on millimeter wave radar provided by the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail below. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. The embodiments of the present invention are described below in conjunction with the accompanying drawings.

[0033] See also Figure 1 and Figure 2 The millimeter-wave radar-based learning state monitoring device provided by the present invention includes a monitoring device body 1, and the monitoring device body 1 includes a top cover 11, a middle frame 12 and a bottom plate 13 arranged in sequence. The top cover 11 is fixedly connected to the middle frame 12, for example, it can be fixed by screws and other connecting parts. A plurality of grooves are arranged on the bottom plate 13, and a corresponding number of buckles are arranged at corresponding positions of the middle frame 12. The buckles and the grooves are buckled one by one, and the stable connection between the middle frame 12 and the bottom plate 13 is achieved by tightly buckling the buckles and the grooves at the corresponding positions. A PCB board is arranged in the accommodating space formed between the middle frame 12 and the bottom plate 13. Specifically, the layout of the PCB board and the structure in the accommodating space can be adjusted synchronously accordingly to ensure that the layout of the PCB board matches the structure in the accommodating space. The present invention is not limited to this.

[0034] Furthermore, at least one magnetic component (not shown in the figure) is also provided on the bottom plate 13, that is, the learning status monitoring device can be fixed on the monitoring position of the study table by magnetic attraction, and a magnetic component with opposite polarity can be correspondingly provided at the monitoring position, and the installation method is flexible and convenient. Specifically, in order to accurately monitor the learning status, the monitoring position needs to be located in front of the human body and the height is between the chest and the head when the human body is in a sitting position. Therefore, a support plate perpendicular to the desktop can be provided on the study table, and the learning status monitoring device can be installed at a preset height of the support plate. Specifically, the preset height can be adjusted according to the height of the user.

[0035] Please refer to Figure 3, the PCB board is provided with a sensor module 10, a millimeter wave radar module 20 and a control module 30, the sensor module 10 and the millimeter wave radar module 20 are both connected to the control module 30, wherein the sensor module 10 is used to detect the environmental data of the current learning area and output it to the control module 30; the millimeter wave radar module 20 is used to transmit millimeter wave electromagnetic signals to the human body and receive echo signals, and output the received echo signals to the control module 30; the control module 30 is used to extract the target data corresponding to the human body position according to the echo signals, and obtain the writing state information and learning posture information of the human body in the current learning area according to the target data and the environmental data, and then output the learning state monitoring result. The control module 30 adopts an MCU of the model STM32H750, and of course, other MCUs with the same functions can also be selected in other embodiments, and the present invention is not limited to this.

[0036] In this embodiment, a millimeter-wave radar module 20 is used for learning monitoring. The lens-free design does not involve the disadvantages of user privacy leakage, etc. At the same time, it is not affected by environmental obstacles, such as smoke, dirt, heat sources, etc. It can also be hidden behind non-metallic materials such as wood or plastic ceilings to avoid accidental closing operations by children. Therefore, it is a very superior learning monitoring method. This embodiment further combines the environmental data monitored by the sensor module 10 for comprehensive monitoring on the basis of millimeter-wave radar detection, and can obtain accurate writing status information and learning posture information of the human body in the current learning area. After the millimeter-wave radar module 20 starts working to emit millimeter-wave electromagnetic signals to the human body and receives echo signals, there is no need to calculate and process all the echo signals. Instead, the target data corresponding to the human body position is first extracted according to the echo signal, and then the learning status monitoring result is output according to the target data and the environmental data. While ensuring the accuracy of monitoring, the amount of data calculation is also greatly reduced, achieving low-power and high-efficiency learning status monitoring.

[0037] Please also refer to Figure 4 The sensing module 10 includes an acceleration sensor 101 , which is connected to the control module 30 and is used to detect acceleration data of the current learning area and output it to the control module 30 .

[0038] In this embodiment, the acceleration change of the learning area is detected by the acceleration sensor 101 as the basis for subsequent learning status monitoring. When the learning status monitoring device is installed at the corresponding monitoring position on the study table, the user will transmit force to the study table when writing or reading on the desktop. Therefore, the study table will shake slightly, resulting in changes in acceleration data. Therefore, the changes in acceleration are collected as a reliable data basis for learning status monitoring. Of course, acceleration data can also be acquired by using, for example, a gyroscope sensor.

[0039] Furthermore, the control module 30 includes an extraction unit (not shown in the figure), a writing judgment unit (not shown in the figure), a posture judgment unit (not shown in the figure) and a monitoring unit (not shown in the figure); the extraction unit is connected to the millimeter wave radar module 20, and is used to search for the maximum amplitude area in the echo signal and extract the target echo data corresponding to the maximum amplitude area; the writing judgment unit is connected to the acceleration sensor 101 and the extraction unit, and is used to obtain the writing state information of the human body in the current learning area according to the acceleration data and the target echo data; the posture judgment unit is connected to the extraction unit, and is used to obtain the learning posture information of the human body in the current learning area according to the target echo data; the monitoring unit is connected to the writing judgment unit and the posture judgment unit, and is used to perform data analysis on the writing state information and the learning posture information and then output the learning state monitoring result.

[0040] In this embodiment, please refer to Figure 5 When the millimeter-wave radar module 20 in the monitoring device body 1 transmits a millimeter-wave electromagnetic signal to the human body in the learning area, an echo signal reflected by the human body will be received. The echo signal is complex data containing amplitude information and phase information, which not only contains radial distance and radial velocity information of the human target, but also contains rich micro-motion information of various parts of the body such as arms. These micro-motion information can well help the radar to distinguish the motion state and extract parameters of the human target. Therefore, if all learning state monitoring and analysis are performed, the amount of data to be processed is very large, resulting in excessive power consumption and low efficiency of monitoring. In this embodiment, the human body position is first located according to the echo signal. Due to the penetrability of millimeter-wave radar signals to the human body, No, the echo amplitude is very high, and the distance corresponding to the echo can be calculated based on the time difference of the received echo. Therefore, the maximum amplitude value is found in the complex array of the echo signal. The distance corresponding to the maximum amplitude value is the distance between the human body and the monitoring device body 1, and the maximum amplitude area is determined according to the width of the waveform where the maximum amplitude value is located. The distance range corresponding to the maximum amplitude area is the learning activity area of ​​the human body. The target echo data corresponding to the maximum amplitude area is extracted from the echo signal, and the learning posture and writing status are analyzed through the target echo data, which greatly reduces the data processing amount and improves the processing efficiency, and is more conducive to realizing efficient and real-time learning status monitoring.

[0041] Furthermore, the writing judgment unit is specifically used to judge whether a human body in the current learning area is writing and the duration of the writing according to the acceleration data and the target echo data.

[0042] In this embodiment, the writing status information of the human body in the current learning area is comprehensively judged by the acceleration data and the target echo data. When writing, the arm will continue to move slightly and regularly. The arm micro-movement value and the interval duration detected by the millimeter-wave radar module 20 can be used to determine whether the person is writing. At the same time, when writing, the person will transmit the force to the desk, causing the desk to shake slightly and regularly. The acceleration data detected by the acceleration sensor can also be used to determine whether the person is writing and record the duration of writing. The combination of the two sensors effectively supplements the detection blind spot of the millimeter-wave radar and can improve the accuracy of writing status judgment.

[0043] In specific implementation, when an object moves toward or away from the radar, the frequency and phase of the linear frequency modulation pulse reflected by it will change. Since the wavelength of the signal transmitted by the millimeter wave radar module 20 is at the millimeter level, any small change will result in a large phase change. Therefore, when monitoring the learning state, the micro-motion value can be obtained according to the size of the mean square error after calculating the mean square error of the phase in the target echo data. When the micro-motion value detected for the first judgment time is greater than the preset micro-motion value, or when acceleration data greater than 0 is detected for the first judgment time, it is determined to be writing and timing starts; until the micro-motion value detected for the second judgment time is less than the preset micro-motion value, or when the acceleration is detected to be 0 for the second judgment time, it is determined to be not writing, at which time the timing is ended to obtain the writing duration.

[0044] Furthermore, the posture judgment unit is specifically used to obtain the distance between the human body and the monitoring device body in the current learning area according to the target echo data, and identify the current posture type and the corresponding posture duration according to the distance.

[0045] In this embodiment, the distance between the human body and the detection device body in the current learning area can be obtained through the amplitude in the target echo data. Since the distance between the head and the radar is different in normal sitting posture and bad sitting posture, the current posture type can be identified according to the distance, such as normal sitting posture, forward sitting posture, backward sitting posture, etc., and corresponding distance ranges are set in advance for different learning postures. The distance range within which the distance actually detected by the millimeter-wave radar falls is judged to identify the posture type, and the duration of each learning posture is timed to obtain the posture duration, so as to achieve accurate learning posture recognition and monitoring.

[0046] Furthermore, the monitoring unit is specifically used to determine whether the current posture type is a preset bad posture and output sitting posture prompt information when the preset bad posture lasts longer than a first preset time, and output fatigue prompt information when the writing lasts longer than a second preset time.

[0047] In this embodiment, the learning status monitoring results include the monitoring and judgment of the learning posture and writing status. Specifically, several posture types are marked as preset bad postures, such as head-down posture and backward posture. If the current posture type is judged to be a preset bad posture and the duration is longer than the first preset time, a sitting posture prompt information is output to remind the user in front of the desk to pay attention to the sitting posture and correct it in time to avoid the impact of long-term bad sitting posture on the user's physical development. At the same time, when the writing duration is longer than the second preset time, a fatigue reminder to rest is output to remind the user that he has been studying continuously for a long time and needs appropriate rest and adjustment. Through accurate learning status monitoring prompts, the user's bad learning habits can be effectively corrected to achieve a learning effect that combines work and rest.

[0048] Furthermore, the sensor module 10 also includes a Hall sensor 102, a photosensitive sensor 103 and a temperature and humidity sensor 104, and the Hall sensor 102, the photosensitive sensor 103 and the temperature and humidity sensor 104 are all connected to the control module 30. The Hall sensor 102 is used to detect the displacement information of the current learning state monitoring device to determine whether it is installed in the corresponding monitoring position. For example, position calibration is performed after the learning state monitoring device is installed. If displacement is detected later, it is determined whether it is still installed in the preset effective monitoring area according to the distance and direction of movement to ensure that the learning state monitoring device always works within the effective area; the photosensitive sensor 103 and the temperature and humidity sensor 104 are respectively used to detect the light intensity information and the temperature and humidity information of the current learning area. By detecting the light intensity information of the learning area, the learning intention of the user in the current learning area can be determined to adjust the radar transmission frequency. For example, when the light intensity in the current learning area is greater than the preset light intensity, the user has a greater tendency to learn at this time, and the millimeter wave radar module 20 is controlled. Millimeter-wave electromagnetic signals are emitted at a first frequency; when the light intensity in the current learning area is less than the preset light intensity, for example, when the user turns off the lights, it indicates that the current user has a low tendency to learn, and the millimeter-wave radar module 20 is controlled to emit millimeter-wave electromagnetic signals at a second frequency, and the second frequency is lower than the first frequency, that is, when the user has no intention of learning, signals are emitted at a lower emission frequency, thereby further saving monitoring power consumption.

[0049] Furthermore, a communication module 40, a power module 50, a microphone 60 and a speaker 70 are further provided in the monitoring device body 1. The communication module 40, the power module 50, the microphone 60 and the speaker 70 are all connected to the control module 30. The communication module 40 can adopt a Bluetooth module, a WIFI module or a cellular communication module to realize the communication connection with the mobile terminal for remote control; the power module 50 is used to power the various functional modules in the learning status monitoring device, and can be realized by a dry cell battery or a rechargeable battery; the microphone 60 is used to collect audio information, and the audio information can be the voice information input by the user or the background audio information in the current learning environment, etc., and the audio information is used to realize voice control or auxiliary learning status judgment; the speaker 70 is used to output voice prompt information, so that the user can know the current learning status prompt information and the working status of the learning status monitoring device.

[0050] It can be seen from the above product embodiments that the millimeter-wave radar-based learning status monitoring device provided by the present invention comprehensively monitors the writing status and learning posture of the human body in the learning area by combining millimeter-wave radar signals and sensor signals, thereby effectively improving the accuracy of learning status monitoring and avoiding the problem of infringing user privacy.

[0051] Another embodiment of the present invention provides a learning state monitoring method based on millimeter wave radar, such as Figure 6 As shown, the following steps are included:

[0052] S100, detecting environmental data of the current learning area;

[0053] S200, transmitting a millimeter wave electromagnetic signal to a human body in a learning area and receiving an echo signal;

[0054] S300, extracting target data corresponding to the human body position according to the echo signal, and obtaining the writing state information and learning posture information of the human body in the current learning area according to the target data and the environmental data, and then outputting the learning state monitoring result.

[0055] Furthermore, the detecting of the environmental data of the current learning area specifically includes:

[0056] Detect the acceleration data of the current learning area.

[0057] Further, the extracting target data corresponding to the human body position according to the echo signal, and obtaining the writing state information and learning posture information of the human body in the current learning area according to the target data and the environmental data, and then outputting the learning state monitoring result, includes:

[0058] Searching for a maximum amplitude region in the echo signal and extracting target echo data corresponding to the maximum amplitude region;

[0059] Acquire writing state information of a human body in a current learning area according to the acceleration data and the target echo data;

[0060] Acquire learning posture information of a human body in a current learning area according to the target echo data;

[0061] After data analysis is performed on the writing state information and the learning posture information, a learning state monitoring result is output.

[0062] It should be noted that there is not necessarily a certain order between the above-mentioned steps. A person skilled in the art can understand, based on the description of the embodiments of the present invention, that in different embodiments, the above-mentioned steps may have different execution orders, that is, they may be executed in parallel, may be executed interchangeably, and so on. For specific implementation methods, please refer to the above-mentioned corresponding product embodiments, which will not be repeated here.

[0063] Another embodiment of the present invention provides a computer program product, which includes a computer program stored in a non-volatile computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the stem cell image acquisition method of the above method embodiment. For example, the above described Figure 6 The method comprises steps S100 to S300.

[0064] In summary, in the millimeter-wave radar-based learning status monitoring device, method and medium disclosed in the present invention, the millimeter-wave radar-based learning status monitoring device includes a monitoring device body, in which a sensor module for detecting environmental data of the current learning area is provided; a millimeter-wave radar module for transmitting millimeter-wave electromagnetic signals to the human body and receiving echo signals; a control module for extracting target data corresponding to the human body position according to the echo signals, and obtaining the writing status information and learning posture information of the human body in the current learning area according to the target data and environmental data, and then outputting the learning status monitoring result. The embodiment of the present invention combines millimeter-wave radar signals and sensor signals to comprehensively monitor the writing status and learning posture of the human body in the learning area, thereby effectively improving the accuracy of learning status monitoring and avoiding the problem of infringing user privacy.

[0065] The embodiments described above are merely illustrative, in which the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can exist in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer electronic device (which can be a personal computer, a server, or a network electronic device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0067] Conditional language such as "can," "can," "might," or "may," among other things, unless specifically stated otherwise or otherwise understood within the context as used, is generally intended to convey that a particular embodiment can include (while other embodiments do not) a particular feature, element, and / or operation. Thus, such conditional language is also generally intended to imply that a feature, element, and / or operation is required for one or more embodiments anyway or that one or more embodiments must include logic for determining whether such features, elements, and / or operations are included or will be performed in any particular embodiment, with or without input or prompting.

[0068] What has been described herein in this specification and the accompanying drawings includes examples that can provide a learning state monitoring device, method and medium based on millimeter wave radar. Of course, it is not possible to describe every conceivable combination of elements and / or methods for the purpose of describing the various features of the present disclosure, but it can be recognized that many other combinations and permutations of the disclosed features are possible. Therefore, it is obvious that various modifications can be made to the present disclosure without departing from the scope or spirit of the present disclosure. In addition, or in an alternative, other embodiments of the present disclosure may be apparent from consideration of this specification and the accompanying drawings and from the practice of the present disclosure as presented herein. It is intended that the examples set forth in this specification and the accompanying drawings are considered to be illustrative and not restrictive in all respects. Although specific terms are employed herein, they are used in a general and descriptive sense and are not used for limiting purposes.

Claims

1. A learning state monitoring device based on millimeter wave radar, characterized in that: The monitoring device comprises a monitoring device body, wherein a sensor module, a millimeter-wave radar module and a control module are arranged in the monitoring device body; the sensor module is connected to the control module, and is used to detect the environmental data of the current learning area and output it to the control module; the millimeter-wave radar module is connected to the control module, and is used to transmit millimeter-wave electromagnetic signals to the human body in the learning area and receive echo signals, and output the received echo signals to the control module; the control module is used to extract target data corresponding to the human body position according to the echo signals, and obtain the writing state information and learning posture information of the human body in the current learning area according to the target data and the environmental data, and then output the learning state monitoring result; The learning status monitoring device is installed at a corresponding monitoring position on the learning table, and at least one magnetic attraction member is provided on the bottom plate of the monitoring device body, and the learning status monitoring device is fixed to the monitoring position of the learning table by magnetic attraction; The sensing module includes an acceleration sensor, which is connected to the control module and is used to detect acceleration data of the current learning area and output it to the control module, specifically to detect changes in acceleration data caused by shaking of the learning table.

2. The learning state monitoring device based on millimeter wave radar according to claim 1 is characterized in that: The control module includes an extraction unit, a writing judgment unit, a posture judgment unit and a monitoring unit; the extraction unit is connected to the millimeter wave radar module, and is used to search for the maximum amplitude area in the echo signal and extract the target echo data corresponding to the maximum amplitude area; The writing judgment unit is connected to the acceleration sensor and the extraction unit, and is used to obtain the writing state information of the human body in the current learning area according to the acceleration data and the target echo data; The posture judgment unit is connected to the extraction unit, and is used to obtain the learning posture information of the human body in the current learning area based on the target echo data; the monitoring unit is connected to the writing judgment unit and the posture judgment unit, and is used to output the learning status monitoring result after performing data analysis on the writing status information and the learning posture information.

3. The learning state monitoring device based on millimeter wave radar according to claim 2 is characterized in that: The writing judgment unit is specifically used to judge whether a human body in the current learning area is writing and the duration of the writing according to the acceleration data and the target echo data.

4. The learning state monitoring device based on millimeter wave radar according to claim 3 is characterized in that: The posture judgment unit is specifically used to obtain the distance between the human body and the monitoring device body in the current learning area according to the target echo data, and identify the current posture type and the corresponding posture duration according to the distance.

5. The learning state monitoring device based on millimeter wave radar according to claim 4 is characterized in that: The monitoring unit is specifically used to determine whether the current posture type is a preset bad posture and output sitting posture prompt information when the preset bad posture lasts longer than a first preset time, and output fatigue prompt information when the writing lasts longer than a second preset time.

6. A learning state monitoring method based on millimeter wave radar, applied to a learning state monitoring device, characterized in that: The steps include: Detect the environmental data of the current learning area; Transmit millimeter wave electromagnetic signals to the human body in the learning area and receive echo signals; Extracting target data corresponding to the human body position according to the echo signal, and obtaining writing state information and learning posture information of the human body in the current learning area according to the target data and environmental data, and then outputting a learning state monitoring result; The learning status monitoring device is installed at a corresponding monitoring position on the learning table, and at least one magnetic attraction member is provided on the bottom plate of the monitoring device body, and the learning status monitoring device is fixed to the monitoring position of the learning table by magnetic attraction; The detecting of the environmental data of the current learning area specifically includes: Detect the acceleration data of the current learning area, specifically detect the change in acceleration data caused by the shaking of the learning table.

7. The method for monitoring learning status based on millimeter wave radar according to claim 6, characterized in that: The step of extracting target data corresponding to the human body position according to the echo signal, and obtaining writing state information and learning posture information of the human body in the current learning area according to the target data and the environmental data, and then outputting the learning state monitoring result includes: Searching for a maximum amplitude region in the echo signal and extracting target echo data corresponding to the maximum amplitude region; Acquire writing state information of a human body in a current learning area according to the acceleration data and the target echo data; Acquire learning posture information of a human body in a current learning area according to the target echo data; After data analysis is performed on the writing state information and the learning posture information, a learning state monitoring result is output.

8. A non-volatile computer-readable storage medium, characterized in that: The non-volatile computer-readable storage medium stores computer-executable instructions, which, when executed by one or more processors, enable the one or more processors to execute the millimeter-wave radar-based learning status monitoring method described in any one of claims 6-7.

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