User vision protection supervision method and related equipment

Abstract

The present invention discloses a user vision protection supervision method and related equipment, which relates to the field of equipment control, and is mainly used to solve the problem that students currently lack relevant eye protection knowledge or lack self-awareness when reading and writing, and it is difficult for them to maintain good reading and writing habits, resulting in a rapid decline in students' vision and difficulty in maintaining vision. The method includes: obtaining target user feature information; predicting specific pressure monitoring thresholds associated with different desk states of users based on the target user feature information; obtaining the desk pressure of the target user; and supervising the desk behavior of the target user based on the desk pressure of the target user and the specific pressure monitoring threshold.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring, and in particular to a user vision protection supervision method and related equipment. Background Art

[0002] Lowering your head or leaning your body to read or write for a long time will make the distance between your eyes and the book too close, increase the burden of eye adjustment, and may cause myopia over time. Reading and writing in a dim or overly bright environment requires the eyes to adapt to the changes in light, which may cause eye fatigue or even damage in the long run. Reading and writing continuously for a long time will not only increase eye fatigue, but also reduce the number of blinks, affect the normal secretion of tears, and may cause dry eyes, which is also a factor leading to myopia. These bad eye habits will cause myopia, but it is difficult to maintain good eye habits by self-consciousness alone. Summary of the invention

[0003] In view of the above problems, the present invention provides a user vision protection supervision method and related equipment, the main purpose of which is to solve the problem that students currently lack relevant eye protection knowledge or lack self-awareness when reading and writing, and it is difficult to maintain good reading and writing habits, which leads to students' vision deteriorating rapidly and being difficult to maintain.

[0004] In order to solve at least one of the above technical problems, in a first aspect, the present invention provides a user vision protection supervision method, the method comprising:

[0005] Obtain target user feature information;

[0006] Predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information;

[0007] Get the target user's desk stress;

[0008] The desk behavior of the target user is supervised based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0009] Optionally, the user characteristics include at least one of gender, age, height, and weight, and the predicting of specific stress monitoring thresholds associated with different desk states of the user based on the target user characteristic information includes:

[0010] Calculate the user's limb mass data based on the target user's characteristic information;

[0011] predicting a first pressure monitoring threshold of the user in a sleeping state at a desk according to the limb mass data;

[0012] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0013] When the desk pressure of the target user is greater than or equal to the first pressure monitoring threshold, it is predicted that the target user is in a desk sleeping state, and a user wake-up instruction is generated.

[0014] Optionally, predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information includes:

[0015] Calculate the user's limb mass data based on the target user's characteristic information;

[0016] Predicting a second pressure monitoring threshold of a user in a desk reading and writing state according to the limb mass data;

[0017] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0018] When the desk pressure of the target user is less than the first pressure monitoring threshold and greater than or equal to the second pressure monitoring threshold, it is predicted that the target user is in a desk reading and writing state, and a reading and writing state monitoring instruction is generated.

[0019] Optionally, also include:

[0020] Based on the read / write status monitoring instruction, the user's reading / writing posture, reading / writing duration, and ambient light brightness are monitored;

[0021] If the reading and writing posture does not meet the preset posture, generate a posture correction prompt; and / or,

[0022] When the continuous reading and writing time is longer than the preset time, a prompt of the reading and writing time is generated; and / or,

[0023] When the ambient light brightness is lower than the preset brightness, an eye fatigue prompt is generated.

[0024] Optionally, based on the read / write status monitoring instruction being executed by a centralized imaging device in a classroom or by an independent imaging device at a target user's location, in the case where the instruction is executed by a centralized imaging device in a classroom, the method further includes:

[0025] Identify multiple users in the classroom through facial recognition technology;

[0026] The recognition result is matched with the identification of the pre-stored independent pressure monitoring and / or message prompting device at the user position, so as to complete the user's vision protection supervision in cooperation with the corresponding independent pressure monitoring and / or message prompting device at the user position.

[0027] Optionally, also include:

[0028] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0029] When the grayscale gradient of the grayscale image of the force application surface indicates that there is an edge grayscale change exceeding a preset value, it is determined to be a non-user force application point;

[0030] The pressure data corresponding to the non-user force application points are excluded.

[0031] Optionally, also include:

[0032] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0033] When the grayscale image of the force-applying surface is a uniform grayscale image, it is determined to be a non-user force-applying point;

[0034] The pressure data corresponding to the non-user force application points are excluded.

[0035] In a second aspect, an embodiment of the present invention further provides a user vision protection monitoring device, comprising:

[0036] A first acquisition unit, used to acquire target user feature information;

[0037] A prediction unit, used for predicting specific pressure monitoring thresholds associated with different desk states of the user based on characteristic information of the target user;

[0038] A second acquisition unit is used to acquire the desk stress of the target user;

[0039] A supervision unit is used to supervise the desk behavior of the target user based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0040] In order to achieve the above-mentioned purpose, according to the third aspect of the present invention, a computer-readable storage medium is provided, wherein the above-mentioned computer-readable storage medium includes a stored program, wherein when the above-mentioned program is executed by a processor, the above-mentioned user vision protection supervision method is implemented.

[0041] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present invention, there is provided an electronic device, comprising at least one processor and at least one memory connected to the above-mentioned processor; wherein the above-mentioned processor is used to call the program instructions in the above-mentioned memory to execute the above-mentioned user vision protection supervision method.

[0042] By means of the above technical scheme, the user vision protection supervision method and related equipment provided by the present invention, wherein the above method obtains the target user characteristic information, predicts the specific pressure monitoring threshold associated with different desk states of the user based on the target user characteristic information, obtains the target user's desk pressure, and supervises the target user's desk behavior based on the target user's desk pressure and the specific pressure monitoring threshold. Thus, the desk states of different users are not monitored according to a fixed pressure monitoring threshold, which avoids the inability of the pressure monitoring threshold caused by the differences in body shape of different users to accurately judge the user's desk state, and the user does not need to input or change the monitoring threshold by himself, which avoids the problem that the user cannot accurately estimate the reasonable pressure monitoring threshold according to his own body shape, and cannot accurately evaluate the user's desk state according to the desk pressure. And through the specific pressure monitoring threshold accurately evaluated based on the target user characteristic information, the user's desk state can be accurately evaluated according to the collected target user's desk pressure, and then the corresponding user desk behavior supervision logic is executed to improve the user's eye habits and avoid the occurrence or progression of myopia.

[0043] Correspondingly, the user vision protection monitoring device, electronic system and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0044] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0046] Figure 1 A schematic diagram of a flow chart of a method for supervising user vision protection provided by an embodiment of the present invention is shown;

[0047] Figure 2 A schematic block diagram showing the composition of a user vision protection monitoring device provided by an embodiment of the present invention is shown;

[0048] Figure 3 A schematic block diagram of the composition of an electronic device for monitoring and protecting user vision provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0049] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0050] In order to solve the problem that students currently lack relevant eye protection knowledge or lack self-awareness when reading and writing, and it is difficult for them to maintain good reading and writing habits, resulting in students' vision deteriorating rapidly and being difficult to maintain, the embodiment of the present invention provides a user vision protection supervision method, such as Figure 1 As shown, the method includes:

[0051] S101, obtaining target user feature information.

[0052] Exemplarily, the user characteristic information may be information that directly or indirectly reflects the user's body shape or weight, such as gender, height, weight, age, etc. Without limitation, this information may be pre-stored and can be obtained from the background when the user identity is required.

[0053] S102: predicting specific pressure monitoring thresholds associated with different desk states of the user based on characteristic information of the target user.

[0054] Exemplarily, the user's stature, body shape, weight and other information can be predicted based on the above-mentioned target user characteristic information, and then the weight of the target user's limbs can be further predicted. It is understandable that the predicted weight of the target user's limbs can be used to evaluate the range of pressure exerted on the desktop by the user in different working positions. For example, the weight of the target user's arms can be used to infer the range of pressure exerted on the desktop by the target user in a working position reading and writing, and the weight of the target user's arms and head and neck can be used to infer the range of pressure exerted on the desktop by the target user in a prone position. The above-mentioned pressure monitoring can be obtained by a pressure sensor disposed on the desktop. The pressure sensors can be evenly distributed on the desktop. The pressure sensors can also be distributed on the desktop in the form of a desk mat. The pressure sensors can be disposed in the interlayer of the desk mat or at the bottom of the desk mat, which is not limited here.

[0055] S103, obtaining the target user's desk stress.

[0056] S104: Supervise the desk behavior of the target user based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0057] For example, the user's current desk behavior can be inferred based on the target user's desk pressure obtained by monitoring and the pressure thresholds of different desk states inferred based on the target user's characteristic information, thereby supervising the user's eye use. The above pressure monitoring data can be transmitted by the pressure sensor to a separate controller for each desk or table mat through wired or wireless means, or it can be centralized in a master controller in a classroom or room or even a remote server.

[0058] By means of the above technical scheme, the user vision protection supervision method provided by the present invention obtains the target user characteristic information, predicts the specific pressure monitoring threshold associated with different desk states of the user based on the target user characteristic information, obtains the target user's desk pressure, and supervises the target user's desk behavior based on the target user's desk pressure and the specific pressure monitoring threshold. Therefore, the desk state of different users is not monitored according to a fixed pressure monitoring threshold, which avoids the inability of the pressure monitoring threshold caused by the difference in body shape of different users to accurately judge the user's desk state, and the user does not need to input or change the monitoring threshold by himself, which avoids the problem that the user cannot accurately estimate the reasonable pressure monitoring threshold according to his own body shape, and cannot accurately evaluate the user's desk state according to the desk pressure. And through the specific pressure monitoring threshold accurately evaluated based on the target user characteristic information, the user's desk state can be accurately evaluated according to the collected target user's desk pressure, and then the corresponding user desk behavior supervision logic is executed to improve the user's eye habits and avoid the occurrence or progression of myopia.

[0059] In one embodiment, the user characteristics include at least one of gender, age, height, and weight, and the prediction of specific stress monitoring thresholds associated with different desk states of the user based on the target user characteristic information includes:

[0060] Calculate the user's limb mass data based on the target user's characteristic information;

[0061] predicting a first pressure monitoring threshold of the user in a sleeping state at a desk according to the limb mass data;

[0062] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0063] When the desk pressure of the target user is greater than or equal to the first pressure monitoring threshold, it is predicted that the target user is in a desk sleeping state, and a user wake-up instruction is generated.

[0064] In one embodiment, predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information includes:

[0065] Calculate the user's limb mass data based on the target user's characteristic information;

[0066] Predicting a second pressure monitoring threshold of a user in a desk reading and writing state according to the limb mass data;

[0067] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0068] When the desk pressure of the target user is less than the first pressure monitoring threshold and greater than or equal to the second pressure monitoring threshold, it is predicted that the target user is in a desk reading and writing state, and a reading and writing state monitoring instruction is generated.

[0069] For example, taking the form of a desk mat for pressure monitoring, the desk mat can also be equipped with an eye exercise announcement function. A voice device is placed on the surface of the desk mat, and the user only needs to press a button to perform eye exercises according to the voice prompt. At the same time, the surface of the desk mat can be printed with the eye exercise operation steps, and the user can refer to the desk mat pattern under the voice prompt to accurately perform the eye exercises.

[0070] In one embodiment, it also includes:

[0071] Based on the read / write status monitoring instruction, the user's reading / writing posture, reading / writing duration, and ambient light brightness are monitored;

[0072] If the reading and writing posture does not meet the preset posture, generate a posture correction prompt; and / or,

[0073] When the continuous reading and writing time is longer than the preset time, a prompt of the reading and writing time is generated; and / or,

[0074] When the ambient light brightness is lower than the preset brightness, an eye fatigue prompt is generated.

[0075] Exemplarily, to address the problem of users' irregular reading and writing postures, imaging devices can be used to perform distance monitoring through image analysis or infrared devices. For example, a buzzer or vibration prompt can be issued when the user's eyes are less than 33 cm from the table mat and the chest is less than a fist (6 to 7 cm) from the table.

[0076] For example, taking pressure monitoring in the form of a desk mat as an example, when the user has been bending his elbows over the desk for more than 40 minutes, the smart desk mat will emit a reminder sound to prompt the user to stop using his eyes.

[0077] In one embodiment, based on the fact that the read / write status monitoring instruction is executed by a centralized imaging device in a classroom or by an independent imaging device at a target user's location, in the case where the instruction is executed by a centralized imaging device in a classroom, the method further includes:

[0078] Identify multiple users in the classroom through facial recognition technology;

[0079] The recognition result is matched with the identification of the pre-stored independent pressure monitoring and / or message prompting device at the user position, so as to complete the user's vision protection supervision in cooperation with the corresponding independent pressure monitoring and / or message prompting device at the user position.

[0080] In one embodiment, it also includes:

[0081] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0082] When the grayscale gradient of the grayscale image of the force application surface indicates that there is an edge grayscale change exceeding a preset value, it is determined to be a non-user force application point;

[0083] The pressure data corresponding to the non-user force application points are excluded.

[0084] For example, since it is difficult to ensure that there is no pressure noise from other objects on the user's desk except for the pressure from the user's limbs when working at the desk, the grayscale image of the force-applying surface can be used to determine whether it is the user's limbs touching or the pressure from objects such as books, based on the grayscale gradient of the grayscale image of the force-applying surface indicating the existence of edge grayscale changes. Usually, the grayscale image of the force-applying surface generated by the user's limbs touching the desk will have a relatively gentle change in grayscale near the edge, and there will not be a sudden and huge change in edge grayscale. In this case, when the grayscale gradient of the grayscale image of the force-applying surface indicates that there is an edge grayscale change exceeding a preset value, for example, when the grayscale difference near the edge position is 80%, it can be determined as a non-user force point, and the pressure data corresponding to the non-user force point needs to be excluded to ensure accurate judgment of the user's desk behavior.

[0085] In one embodiment, it also includes:

[0086] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0087] When the grayscale image of the force-applying surface is a uniform grayscale image, it is determined to be a non-user force-applying point;

[0088] The pressure data corresponding to the non-user force application points are excluded.

[0089] For example, since it is difficult to ensure that there is no pressure noise from other objects on the user's desk except for the pressure from the user's body when working at the desk, the grayscale image of the force-applying surface can be used to determine whether it is the user's body contact pressure or the contact pressure from an object such as a book based on the grayscale distribution of the grayscale image of the force-applying surface. Usually, the grayscale image of the force-applying surface generated by the user's body contact pressure is not evenly distributed, and often gradually decreases from the center to the edge. However, the grayscale image of the force-applying surface generated by the force applied by interfering objects such as books is often very uniform. In the case where the grayscale image of the force-applying surface is a uniform grayscale image, it can be determined to be a non-user force-applying point, and the pressure data corresponding to the non-user force-applying point needs to be excluded to ensure accurate judgment of the user's behavior at the desk.

[0090] Exemplarily, a full-spectrum light source can be used to simulate the spectral composition of natural light, thereby providing illumination closer to the natural environment. A full-spectrum light source can cover all frequency bands of visible light, rather than focusing only on a specific frequency band. Light intensity adjustment can also be performed, and the user's reading and writing status can be automatically identified to adjust the brightness. For example, the brightness of the light source when the user reads and writes paper books is higher than the brightness of the light source when the user reads and writes electronic screens, reducing eye fatigue. The light source can also be adjusted by color temperature. For example, a lower color temperature will emit a warmer (yellowish) light, while a higher color temperature will emit a cooler (bluish) light. The adjustment of color temperature helps to simulate the changes in natural light from morning to evening, which is very important for maintaining the human body clock and improving visual comfort. The adjustment of these light sources can be dynamically compensated based on changes in ambient light. When the user is in the same reading and writing state, the changes in ambient light and the possible damage to the user's eyes are dynamically supplemented, thereby playing a role in eye protection.

[0091] Furthermore, as a response to the above Figure 1 In order to realize the method shown in the figure, the embodiment of the present invention also provides a user vision protection monitoring device for monitoring the above Figure 1 The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. Figure 2 As shown, the device includes: a first acquisition unit 21, a prediction unit 22, a second acquisition unit 23 and a supervision unit 24, wherein

[0092] A first acquisition unit, used to acquire target user feature information;

[0093] A prediction unit, used for predicting specific pressure monitoring thresholds associated with different desk states of the user based on characteristic information of the target user;

[0094] A second acquisition unit is used to acquire the desk stress of the target user;

[0095] A supervision unit is used to supervise the desk behavior of the target user based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0096] By means of the above technical scheme, the user vision protection monitoring device provided by the present invention obtains the target user characteristic information, predicts the specific pressure monitoring threshold associated with different desk states of the user based on the target user characteristic information, obtains the target user's desk pressure, and monitors the target user's desk behavior based on the target user's desk pressure and the specific pressure monitoring threshold. As a result, the desk states of different users are not monitored based on a fixed pressure monitoring threshold, which avoids the inability of the pressure monitoring threshold to accurately judge the user's desk state due to the differences in their own body shapes, and the user does not need to input or change the monitoring threshold by himself, which avoids the problem that the user cannot accurately estimate the reasonable pressure monitoring threshold according to his own body shape, and cannot accurately evaluate the user's desk state according to the desk pressure. And through the specific pressure monitoring threshold accurately evaluated based on the target user characteristic information, the user's desk state can be accurately evaluated according to the collected target user's desk pressure, and then the corresponding user desk behavior supervision logic is executed to improve the user's eye habits and avoid the occurrence or progression of myopia.

[0097] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and a user vision protection supervision method is implemented by adjusting kernel parameters, which can solve the problem of lack of a better coordination device switch method based on the Internet of Things.

[0098] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, and when the program is executed by a processor, the user vision protection supervision method is implemented.

[0099] An embodiment of the present invention provides a processor, which is used to run a program, wherein the user vision protection supervision method is executed when the program is running:

[0100] Obtain target user feature information;

[0101] Predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information;

[0102] Get the target user's desk stress;

[0103] The desk behavior of the target user is supervised based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0104] Optionally, the user characteristics include at least one of gender, age, height, and weight, and the predicting of specific stress monitoring thresholds associated with different desk states of the user based on the target user characteristic information includes:

[0105] Calculate the user's limb mass data based on the target user's characteristic information;

[0106] predicting a first pressure monitoring threshold of the user in a sleeping state at a desk according to the limb mass data;

[0107] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0108] When the desk pressure of the target user is greater than or equal to the first pressure monitoring threshold, it is predicted that the target user is in a desk sleeping state, and a user wake-up instruction is generated.

[0109] Optionally, predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information includes:

[0110] Calculate the user's limb mass data based on the target user's characteristic information;

[0111] Predicting a second pressure monitoring threshold of a user in a desk reading and writing state according to the limb mass data;

[0112] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0113] When the desk pressure of the target user is less than the first pressure monitoring threshold and greater than or equal to the second pressure monitoring threshold, it is predicted that the target user is in a desk reading and writing state, and a reading and writing state monitoring instruction is generated.

[0114] Optionally, also include:

[0115] Based on the read / write status monitoring instruction, the user's reading / writing posture, reading / writing duration, and ambient light brightness are monitored;

[0116] If the reading and writing posture does not meet the preset posture, generate a posture correction prompt; and / or,

[0117] When the continuous reading and writing time is longer than the preset time, a prompt of the reading and writing time is generated; and / or,

[0118] When the ambient light brightness is lower than the preset brightness, an eye fatigue prompt is generated.

[0119] Optionally, based on the read / write status monitoring instruction being executed by a centralized imaging device in a classroom or by an independent imaging device at a target user's location, in the case where the instruction is executed by a centralized imaging device in a classroom, the method further includes:

[0120] Identify multiple users in the classroom through facial recognition technology;

[0121] The recognition result is matched with the identification of the pre-stored independent pressure monitoring and / or message prompting device at the user position, so as to complete the user's vision protection supervision in cooperation with the corresponding independent pressure monitoring and / or message prompting device at the user position.

[0122] Optionally, also include:

[0123] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0124] When the grayscale gradient of the grayscale image of the force application surface indicates that there is an edge grayscale change exceeding a preset value, it is determined to be a non-user force application point;

[0125] The pressure data corresponding to the non-user force application points are excluded.

[0126] Optionally, also include:

[0127] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0128] When the grayscale image of the force-applying surface is a uniform grayscale image, it is determined to be a non-user force-applying point;

[0129] The pressure data corresponding to the non-user force application points are excluded.

[0130] An embodiment of the present invention provides an electronic device, the electronic device comprising at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the user vision protection supervision method as described above:

[0131] Obtain target user feature information;

[0132] Predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information;

[0133] Get the target user's desk stress;

[0134] The desk behavior of the target user is supervised based on the desk pressure of the target user and the specific pressure monitoring threshold.

[0135] Optionally, the user characteristics include at least one of gender, age, height, and weight, and the predicting of specific stress monitoring thresholds associated with different desk states of the user based on the target user characteristic information includes:

[0136] Calculate the user's limb mass data based on the target user's characteristic information;

[0137] predicting a first pressure monitoring threshold of the user in a sleeping state at a desk according to the limb mass data;

[0138] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0139] When the desk pressure of the target user is greater than or equal to the first pressure monitoring threshold, it is predicted that the target user is in a desk sleeping state, and a user wake-up instruction is generated.

[0140] Optionally, predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information includes:

[0141] Calculate the user's limb mass data based on the target user's characteristic information;

[0142] Predicting a second pressure monitoring threshold of a user in a desk reading and writing state according to the limb mass data;

[0143] The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises:

[0144] When the desk pressure of the target user is less than the first pressure monitoring threshold and greater than or equal to the second pressure monitoring threshold, it is predicted that the target user is in a desk reading and writing state, and a reading and writing state monitoring instruction is generated.

[0145] Optionally, also include:

[0146] Based on the read / write status monitoring instruction, the user's reading / writing posture, reading / writing duration, and ambient light brightness are monitored;

[0147] If the reading and writing posture does not meet the preset posture, generate a posture correction prompt; and / or,

[0148] When the continuous reading and writing time is longer than the preset time, a prompt of the reading and writing time is generated; and / or,

[0149] When the ambient light brightness is lower than the preset brightness, an eye fatigue prompt is generated.

[0150] Optionally, based on the read / write status monitoring instruction being executed by a centralized imaging device in a classroom or by an independent imaging device at a target user's location, in the case where the instruction is executed by a centralized imaging device in a classroom, the method further includes:

[0151] Identify multiple users in the classroom through facial recognition technology;

[0152] The recognition result is matched with the identification of the pre-stored independent pressure monitoring and / or message prompting device at the user position, so as to complete the user's vision protection supervision in cooperation with the corresponding independent pressure monitoring and / or message prompting device at the user position.

[0153] Optionally, also include:

[0154] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0155] When the grayscale gradient of the grayscale image of the force application surface indicates that there is an edge grayscale change exceeding a preset value, it is determined to be a non-user force application point;

[0156] The pressure data corresponding to the non-user force application points are excluded.

[0157] Optionally, also include:

[0158] Obtaining a grayscale image of the force application surface obtained during pressure monitoring;

[0159] When the grayscale image of the force-applying surface is a uniform grayscale image, it is determined to be a non-user force-applying point;

[0160] The pressure data corresponding to the non-user force application points are excluded.

[0161] An embodiment of the present invention provides an electronic device 30, such as Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor; wherein the processor 301 and the memory 302 communicate with each other via the bus 303; the processor 301 is used to call the program instructions in the memory to execute the above-mentioned user vision protection supervision method.

[0162] The intelligent electronic devices in this article can be PCs, PADs, mobile phones, etc.

[0163] The present application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the steps of the above-mentioned user vision protection supervision method:

[0164] The present application is described with reference to the flowcharts and / or block diagrams of the methods, electronic devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable process management electronic device to generate a machine, so that the instructions executed by the processor of the computer or other programmable process management electronic device generate instructions for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] In a typical configuration, an electronic device includes one or more processors (CPU), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0166] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0167] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer readable storage media for computers include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage electronic devices or any other non-transmission media that can be used to store information that can be accessed by computing electronic devices. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0168] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or electronic device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or electronic device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or electronic device including the elements.

[0169] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0170] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A user vision protection supervision method, characterized in that: include: Obtain target user feature information; Predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information; Get the target user's desk stress; Supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold; The user characteristics include at least one of gender, age, height, and weight. The method of predicting the specific stress monitoring threshold associated with different desk states of the user based on the target user characteristic information includes: Calculate the user's limb mass data based on the target user's characteristic information; A first pressure monitoring threshold of the user when sleeping at a desk is predicted according to the limb mass data, so as to determine the first pressure monitoring threshold as the specific pressure monitoring threshold.

2. The method according to claim 1, characterized in that The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises: When the desk pressure of the target user is greater than or equal to the first pressure monitoring threshold, it is predicted that the target user is in a desk sleeping state, and a user wake-up instruction is generated.

3. The method according to claim 2, characterized in that The method of predicting specific stress monitoring thresholds associated with different desk states of users based on target user feature information includes: Calculate the user's limb mass data based on the target user's characteristic information; Predicting a second pressure monitoring threshold of a user in a desk reading and writing state according to the limb mass data; The supervising the desk-working behavior of the target user based on the desk-working pressure of the target user and the specific pressure monitoring threshold comprises: When the target user's desk pressure is less than the first pressure monitoring threshold and greater than or equal to the second pressure monitoring threshold, it is predicted that the target user is in a desk reading and writing state, and a reading and writing state monitoring instruction is generated.

4. The method according to claim 3, characterized in that Also includes: Based on the read / write status monitoring instruction, the user's reading / writing posture, reading / writing duration, and ambient light brightness are monitored; When the reading and writing posture does not meet the preset posture, a posture correction prompt is generated; and / or, When the continuous reading and writing time is longer than the preset time, a prompt of the reading and writing time is generated; and / or when the ambient light brightness is lower than the preset brightness, a prompt of eye fatigue is generated.

5. The method according to claim 4, characterized in that Based on the fact that the read / write status monitoring instruction is executed by a centralized imaging device in a classroom or by an independent imaging device at a target user's location, in the case where the instruction is executed by a centralized imaging device in a classroom, the method further includes: Identify multiple users in the classroom through facial recognition technology; The recognition result is matched with the identification of the pre-stored independent pressure monitoring and / or message prompting device at the user position to complete the user's vision protection supervision in cooperation with the corresponding independent pressure monitoring and / or message prompting device at the user position.

6. The method according to any one of claims 1 to 5, characterized in that Also includes: Obtaining a grayscale image of the force application surface obtained during pressure monitoring; When the grayscale gradient of the grayscale image of the force application surface indicates that there is an edge grayscale change exceeding a preset value, it is determined to be a non-user force application point; The pressure data corresponding to the non-user force application points are excluded.

7. The method according to any one of claims 1 to 5, characterized in that Also includes: Obtaining a grayscale image of the force application surface obtained during pressure monitoring; When the grayscale image of the force-applying surface is a uniform grayscale image, it is determined to be a non-user force-applying point; The pressure data corresponding to the non-user force application points are excluded.

8. A user vision protection monitoring device, characterized in that: According to the method as claimed in any one of claims 1 to 7, the device comprises: A first acquisition unit, used to acquire target user feature information; A prediction unit, used for predicting specific pressure monitoring thresholds associated with different desk states of the user based on characteristic information of the target user; A second acquisition unit is used to acquire the desk stress of the target user; A supervision unit is used to supervise the desk behavior of the target user based on the desk pressure of the target user and the specific pressure monitoring threshold.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the user vision protection supervision method according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the user vision protection supervision method as described in any one of claims 1 to claim 7.

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