A method for supervising student classroom behavior, electronic device and storage medium

Abstract

The present invention relates to a method for supervising students' classroom behavior, an electronic device and a storage medium. The method comprises: defining a classroom scene, recording student seat information in the classroom scene, and obtaining information about students in each seat attending class; determining a correction score for each frame; determining a first sub-score of concentration, a second sub-score of concentration, a third sub-score of concentration, a fourth sub-score of concentration, a first sub-score of fatigue and a second sub-score of fatigue according to the information about students in each seat attending class; determining a concentration score for students in each seat according to the information about students in each seat attending class and four concentration sub-scores; determining a fatigue score for students in each seat according to the first sub-score and the second fatigue sub-score; determining a student classroom behavior criterion score according to the correction score, the concentration score and the fatigue score of the students in each seat; and determining whether the class behavior of the students in each seat is abnormal according to the student classroom behavior criterion score.

Description

Technical Field

[0001] The present invention relates to the technical field of student classroom supervision, and in particular to a student classroom behavior supervision method, electronic equipment and storage medium. Background Art

[0002] In the field of education, effective classroom management is essential to improving students' learning efficiency and maintaining a good teaching environment. Traditional classroom management mainly relies on direct supervision and intervention by teachers, but this method has certain limitations. With the rapid development of artificial intelligence and computer vision technology, applying these technologies to classroom behavior supervision can provide educators with more effective management tools. Based on these challenges, it is particularly important to develop a method for supervising students' classroom behavior. Summary of the invention

[0003] Based on the above problems, the present invention provides a method for supervising students' classroom behavior, an electronic device and a storage medium.

[0004] In a first aspect, an embodiment of the present invention provides a method for supervising student classroom behavior, comprising:

[0005] Define the classroom scene, record the student seat information in the classroom scene, and obtain the information of the students in each seat through the smart camera equipped with the algorithm;

[0006] Determine a correction score for each frame; determine a first sub-score of concentration, a second sub-score of concentration, a third sub-score of concentration, a fourth sub-score of concentration, a first sub-score of fatigue, and a second sub-score of fatigue according to information of students in each seat;

[0007] Determine the concentration score of the student in each seat according to the information of the student in each seat taking a class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration;

[0008] determining a fatigue score of the student in each seat according to the first fatigue sub-score and the second fatigue sub-score;

[0009] Determine the student classroom behavior criterion score according to the modified score, the concentration score of the student in each seat, and the fatigue score;

[0010] Whether the class behavior of the student in each seat is abnormal is determined based on the student class behavior criterion score.

[0011] Furthermore, in the above-mentioned method for supervising student classroom behavior, determining the correction score of each frame includes: the teacher selects a time zone for teaching key content in a class according to the lesson plan, and for any frame j, when the current frame belongs to the time zone for teaching key content, the correction score of the current frame is , otherwise, the corrected score of the current frame .

[0012] Furthermore, in the above-mentioned method for supervising student classroom behavior, the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration are determined according to the information of the students in each seat in class by the following formula:

[0013]

[0014]

[0015]

[0016]

[0017] in, Indicates the information of students taking classes in each seat. The number of seats is , i is the seat number, j is the number of video frames, is the height of the head recognition box, is the horizontal coordinate of the center coordinate of the left eye recognition box, is the horizontal coordinate of the center coordinate of the right eye recognition box, is the horizontal coordinate of the center coordinate of the head recognition box, For the first sub-score of concentration, Score the second sub-score for concentration. Score the third sub-score for concentration. is the first judgment threshold set.

[0018] Furthermore, in the above-mentioned method for supervising student classroom behavior, the first fatigue sub-score and the second fatigue sub-score are determined according to the information of the students in each seat in class by the following formula:

[0019]

[0020]

[0021] in, Represents the information of students taking classes in each seat, and the number of seats is , i is the seat number, j is the number of video frames, Identify the height of the box for the student's left eye. Identify the height of the box for the student's right eye. is the height of the mouth recognition box, is the height of the head recognition box, is the second judgment threshold set, is the third judgment threshold set, Score for the first fatigued player, Score for the second fatigued player, It is the second correction constant obtained by historical data training.

[0022] Furthermore, in the above-mentioned method for supervising student classroom behavior, the concentration score of the student in each seat is determined according to the information of the student in each seat attending class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration by the following formula:

[0023]

[0024]

[0025] in, is the first correction constant obtained from historical data training. The time interval of a class is [0, n 2 ] , Represents the information of students taking classes in each seat, and the number of seats is , i is the seat number, j is the number of video frames, Identify the height of the box for the student's left eye. Identify the height of the box for the student's right eye. is the horizontal coordinate of the center coordinate of the left eye recognition box, is the horizontal coordinate of the center coordinate of the right eye recognition box, is the horizontal coordinate of the center coordinate of the head recognition box, For concentration score, is the concentration criterion score, For the first sub-score of concentration, Score the second sub-score for concentration. Score the third sub-score for concentration. Score the fourth sub for concentration.

[0026] Furthermore, in the above-mentioned method for supervising student classroom behavior, the fatigue score of the student in each seat is determined according to the first fatigue sub-score and the second fatigue sub-score by the following formula:

[0027]

[0028]

[0029] in, Score for the first fatigued player, Score for the second fatigued player, is the second correction constant obtained by historical data training, is the fatigue criterion score, and the duration of a class is [0, n 2 ] , i is the seat number, j is the number of video frames, Score for fatigue.

[0030] Furthermore, in the above-mentioned method for supervising student classroom behavior, the student classroom behavior criterion score is determined according to the corrected score, the concentration score of the student in each seat, and the fatigue score by the following formula:

[0031]

[0032]

[0033] in, is the fourth judgment threshold set, is the fifth judgment threshold set, Score behavior modification. To correct the score, the number of seats is , i is the seat number, j is the number of video frames, and the time interval of a class is [0, n 2 ] , For concentration score, is the fatigue score, Score the classroom behavior criteria.

[0034] Furthermore, in the above-mentioned method for supervising student classroom behavior, determining whether the class behavior of the student in each seat is abnormal according to the student classroom behavior criterion score includes:

[0035] When students score on the classroom behavior criteria Greater than the sixth judgment threshold When , the classroom behavior of the student in the i-th seat is judged to be abnormal;

[0036] When students score on the classroom behavior criteria Less than or equal to the sixth judgment threshold When , it is judged that the classroom behavior of the student in the i-th seat is normal.

[0037] In a second aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;

[0038] The processor is used to execute a method for supervising student classroom behavior as described in any one of the above by calling the program or instruction stored in the memory.

[0039] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute a method for supervising student classroom behavior as described in any one of the above.

[0040] The advantages of the embodiments of the present invention are: the present invention defines a classroom scene, records the student seat information in the classroom scene, obtains the information of the students in each seat through an intelligent camera equipped with an algorithm; determines the correction score of each frame; determines the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, the fourth sub-score of concentration, the first sub-score of fatigue and the second sub-score of fatigue according to the information of the students in each seat; determines the concentration score of the students in each seat according to the information of the students in each seat and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration and the fourth sub-score of concentration; determines the fatigue score of the students in each seat according to the first fatigue sub-score and the second fatigue sub-score; determines the student classroom behavior criterion score according to the correction score, the concentration score of the students in each seat and the fatigue score; determines whether the student behavior in each seat is abnormal according to the student classroom behavior criterion score. The present invention determines whether the student behavior in each seat is abnormal through the above method, thereby helping teachers to efficiently and accurately supervise students' behavior in class. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the conventional technology, the drawings required for use in the embodiments or the conventional technology descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 A schematic diagram of a method for supervising student classroom behavior provided by an embodiment of the present invention;

[0043] Figure 2 It is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific implementation disclosed below.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0046] Figure 1 A schematic diagram of a method for supervising student classroom behavior provided by an embodiment of the present invention.

[0047] In the first aspect, the embodiment of the present invention provides a method for supervising student classroom behavior, combining Figure 1 , including six steps from S101 to S106:

[0048] S101: Define the classroom scene, record the student seat information in the classroom scene, and obtain the information of students in each seat through the smart camera equipped with the algorithm.

[0049] Specifically, in the embodiment of the present invention, the classroom scene is defined, the student seat information is recorded, and each seat is equipped with an intelligent camera equipped with an algorithm to collect information about the students in class. , where the number of seats is , i is the seat number, j is the number of video frames, and the time interval of a class is [0, n 2 ] , Identify the height of the box for the student's left eye. Identify the height of the box for the student's right eye. is the height of the mouth recognition box, is the height of the head recognition box, is the horizontal coordinate of the center coordinate of the left eye recognition box, is the horizontal coordinate of the center coordinate of the right eye recognition box, is the horizontal coordinate of the center coordinate of the head recognition box, is the vertical coordinate of the center coordinate of the head recognition box; when the student's head is not detected, , , ; When the pupil's left eye is not detected, , ; When the student's right eye is not detected, , ; When the student's mouth is not detected, .

[0050] S102: Determine a corrected score for each frame; determine a first sub-score of concentration, a second sub-score of concentration, a third sub-score of concentration, a fourth sub-score of concentration, a first sub-score of fatigue, and a second sub-score of fatigue according to information of students in each seat.

[0051] Specifically, in an embodiment of the present invention, a corrected score for each frame is determined; a method for determining the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, the fourth sub-score of concentration, the first fatigue sub-score and the second fatigue sub-score according to information about students in each seat in class is described in detail below.

[0052] S103: Determine the concentration score of the student in each seat according to the class information of the student in each seat and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration.

[0053] Specifically, in an embodiment of the present invention, a method for determining the concentration score of a student in each seat based on the information of the student attending class in each seat and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration is described in detail below.

[0054] S104: Determine a fatigue score of the student in each seat according to the first fatigue sub-score and the second fatigue sub-score.

[0055] Specifically, in an embodiment of the present invention, a method for determining a fatigue score of a student in each seat based on a first fatigue sub-score and a second fatigue sub-score is described in detail below.

[0056] S105: Determine the student's classroom behavior criterion score based on the corrected score, the concentration score and the fatigue score of the student in each seat.

[0057] Specifically, in an embodiment of the present invention, a method for determining a student's classroom behavior criterion score based on the corrected score, the concentration score and the fatigue score of the student in each seat is described in detail below.

[0058] S106: Determine whether the class behavior of the student in each seat is abnormal based on the student class behavior criterion score.

[0059] Specifically, in an embodiment of the present invention, a method for determining whether the class behavior of a student in each seat is abnormal based on the student class behavior criterion score is described in detail below.

[0060] Furthermore, in the above-mentioned method for supervising student classroom behavior, determining the correction score of each frame includes: the teacher selects a time zone for teaching key content in a class according to the lesson plan, and for any frame j, when the current frame belongs to the time zone for teaching key content, the correction score of the current frame is , otherwise, the corrected score of the current frame .

[0061] Furthermore, in the above-mentioned method for supervising student classroom behavior, the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration are determined according to the information of the students in each seat in class by the following formula:

[0062]

[0063]

[0064]

[0065]

[0066] in, Represents the information of students taking classes in each seat, and the number of seats is , i is the seat number, j is the number of video frames, is the height of the head recognition box, is the horizontal coordinate of the center coordinate of the left eye recognition box, is the horizontal coordinate of the center coordinate of the right eye recognition box, is the horizontal coordinate of the center coordinate of the head recognition box, For the first sub-score of concentration, Score the second sub-score for concentration. Score the third sub-score for concentration. is the first judgment threshold set.

[0067] Specifically, in the embodiment of the present invention, the first judgment threshold is set The size can be flexibly set according to actual conditions.

[0068] Furthermore, in the above-mentioned method for supervising student classroom behavior, the first fatigue sub-score and the second fatigue sub-score are determined according to the information of the students in each seat in class by the following formula:

[0069]

[0070]

[0071] in, Represents the information of students taking classes in each seat, and the number of seats is , i is the seat number, j is the number of video frames, Identify the height of the box for the student's left eye. Identify the height of the box for the student's right eye. is the height of the mouth recognition box, is the height of the head recognition box, is the second judgment threshold set, is the third judgment threshold set, Score for the first fatigued player, Score for the second fatigued player, It is the second correction constant obtained by historical data training.

[0072] Specifically, in the embodiment of the present invention, the second judgment threshold is set , the third judgment threshold The size can be flexibly set according to actual conditions.

[0073] Furthermore, in the above-mentioned method for supervising student classroom behavior, the concentration score of the student in each seat is determined according to the information of the student in each seat attending class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration by the following formula:

[0074]

[0075]

[0076] in, is the first correction constant obtained from historical data training. The time interval of a class is [0, n 2 ] , Represents the information of students taking classes in each seat, and the number of seats is , i is the seat number, j is the number of video frames, Identify the height of the box for the student's left eye. Identify the height of the box for the student's right eye. is the horizontal coordinate of the center coordinate of the left eye recognition box, is the horizontal coordinate of the center coordinate of the right eye recognition box, is the horizontal coordinate of the center coordinate of the head recognition box, For concentration score, is the concentration criterion score, For the first sub-score of concentration, Score the second sub-score for concentration. Score the third sub-score for concentration. Score the fourth sub for concentration.

[0077] Furthermore, in the above-mentioned method for supervising student classroom behavior, the fatigue score of the student in each seat is determined according to the first fatigue sub-score and the second fatigue sub-score by the following formula:

[0078]

[0079]

[0080] in, Score for the first fatigued player, Score for the second fatigued player, is the second correction constant obtained by historical data training, is the fatigue criterion score, and the duration of a class is [0, n 2 ] , i is the seat number, j is the number of video frames, Score for fatigue.

[0081] Furthermore, in the above-mentioned method for supervising student classroom behavior, the student classroom behavior criterion score is determined according to the corrected score, the concentration score of the student in each seat, and the fatigue score by the following formula:

[0082]

[0083]

[0084] in, is the fourth judgment threshold set, is the fifth judgment threshold set, Score behavior modification. is the corrected score, i is the seat number, and the number of seats is , j is the number of frames in the video, and the time interval of a class is [0, n 2 ] , For concentration score, is the fatigue score, Score the classroom behavior criteria.

[0085] Specifically, in the embodiment of the present invention, the fourth judgment threshold is set , the fifth judgment threshold The size can be flexibly set according to actual conditions.

[0086] Furthermore, in the above-mentioned method for supervising student classroom behavior, determining whether the class behavior of the student in each seat is abnormal according to the student classroom behavior criterion score includes:

[0087] When students score on the classroom behavior criteria Greater than the sixth judgment threshold When , the classroom behavior of the student in the i-th seat is judged to be abnormal;

[0088] When students score on the classroom behavior criteria Less than or equal to the sixth judgment threshold When , it is judged that the classroom behavior of the student in the i-th seat is normal.

[0089] Specifically, in the embodiment of the present invention, the sixth judgment threshold is set The size can be flexibly set according to actual conditions.

[0090] In a second aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;

[0091] The processor is used to execute a method for supervising student classroom behavior as described in any one of the above by calling the program or instruction stored in the memory.

[0092] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute a method for supervising student classroom behavior as described in any one of the above.

[0093] Figure 2 It is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.

[0094] like Figure 2 As shown, the electronic device includes: at least one processor 201, at least one memory 202 and at least one communication interface 203. The various components in the electronic device are coupled together through a bus system 204. The communication interface 203 is used to transmit information between external devices. It can be understood that the bus system 204 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 204 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 2 Various buses are labeled as bus system 204 .

[0095] It can be understood that the memory 202 in this embodiment can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0096] In some implementations, the memory 202 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system and application programs.

[0097] The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application includes various application programs, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. A program that implements any method of a student classroom behavior supervision method provided in an embodiment of the present invention can be included in the application.

[0098] In an embodiment of the present invention, the processor 201 calls a program or instruction stored in the memory 202, specifically, a program or instruction stored in an application, and the processor 201 is used to execute the steps of each embodiment of a method for supervising student classroom behavior provided in an embodiment of the present invention.

[0099] Define the classroom scene, record the student seat information in the classroom scene, and obtain the information of the students in each seat through the smart camera equipped with the algorithm;

[0100] Determine a correction score for each frame; determine a first sub-score of concentration, a second sub-score of concentration, a third sub-score of concentration, a fourth sub-score of concentration, a first sub-score of fatigue, and a second sub-score of fatigue according to information of students in each seat;

[0101] Determine the concentration score of the student in each seat according to the information of the student in each seat taking a class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration;

[0102] determining a fatigue score of the student in each seat according to the first fatigue sub-score and the second fatigue sub-score;

[0103] Determine the student classroom behavior criterion score according to the modified score, the concentration score of the student in each seat, and the fatigue score;

[0104] Whether the class behavior of the student in each seat is abnormal is determined based on the student class behavior criterion score.

[0105] Any method in a method for supervising student classroom behavior provided in an embodiment of the present invention can be applied to the processor 201, or implemented by the processor 201. The processor 201 can be an integrated circuit chip with signal capability. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 201 or an instruction in the form of software. The above processor 201 can be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional device, etc.

[0106] The steps of any method in a method for supervising student classroom behavior provided by an embodiment of the present invention can be directly embodied as being executed by a hardware decoding processor, or being executed by a combination of hardware and software units in a decoding processor. The software unit can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 202, and the processor 201 reads the information in the memory 202, and completes the steps of a method for supervising student classroom behavior in combination with its hardware.

[0107] Those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0108] Those skilled in the art will appreciate that the description of each embodiment has its own emphasis, and for parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for supervising student classroom behavior, characterized in that: include: Define the classroom scene, record the student seat information in the classroom scene, and obtain the information of the students in each seat through the smart camera equipped with the algorithm; Determine a correction score for each frame; determine a first sub-score of concentration, a second sub-score of concentration, a third sub-score of concentration, a fourth sub-score of concentration, a first sub-score of fatigue, and a second sub-score of fatigue according to information of students in each seat; Determine the concentration score of the student in each seat according to the information of the student in each seat taking a class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration; determining a fatigue score of the student in each seat according to the first fatigue sub-score and the second fatigue sub-score; Determine the student classroom behavior criterion score according to the modified score, the concentration score of the student in each seat, and the fatigue score; Determine whether the class behavior of the student in each seat is abnormal according to the student class behavior criterion score; Determining the correction score of each frame includes: the teacher selects the time zone for teaching key content in a lesson according to the lesson plan. For any frame j, when the current frame belongs to the time zone for teaching key content, the correction score g1 of the current frame j =1, otherwise, the corrected score g1 of the current frame j =0; The first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration are determined according to the information of the students in each seat in class through the following formula: Among them, {(el i,j ,er i,j ,m i,j ,h i,j ,dl i,j ,dr i,j ,dh i,j ,dw i,j )} represents the information of the students in each seat, the number of seats is n1, i is the seat number, j is the number of frames in the video, h i,j is the height of the head recognition box, dl i,j is the horizontal coordinate of the center coordinate of the left eye recognition box, dr i,j dh is the horizontal coordinate of the center coordinate of the right eye recognition box, i,j g22 is the horizontal coordinate of the center coordinate of the head recognition box, i,j For the first sub-score of concentration, g23 i,j Score the second sub for concentration, g24 i,j Score the third sub for concentration, g25 i,j is the fourth sub-score of concentration, ts1 is the set first judgment threshold; The first fatigue sub-score and the second fatigue sub-score are determined based on the information of the students in each seat in class by the following formula: Among them, el i,j The height of the box for the student's left eye, er i,j The height of the box identified by the student's right eye, m i,j is the height of the mouth recognition box, ts2 is the second judgment threshold, ts3 is the third judgment threshold, g32 i,j Score for the first fatigued piece, g33 i,j is the second fatigue sub-score, c2 is the second correction constant obtained by historical data training; The concentration score of the student in each seat is determined by the following formula based on the information of the student in each seat taking the class and the first sub-score of concentration, the second sub-score of concentration, the third sub-score of concentration, and the fourth sub-score of concentration: Among them, c1 is the first correction constant obtained by historical data training, the time interval of a class is [0,n2], g2 i,j For the concentration score, g21 i,j Score the concentration criterion; The fatigue score of the student in each seat is determined according to the first fatigue sub-score and the second fatigue sub-score by the following formula: <h2 style=";text-align:left;direction:ltr">g31<h2 style=";text-align:left;direction:ltr"> i,j <h2 style=";text-align:left;direction:ltr"> =g32<h2 style=";text-align:left;direction:ltr"> i,j <h2 style=";text-align:left;direction:ltr"> +g33<h2 style=";text-align:left;direction:ltr"> i,j Among them, g31 i,j is the fatigue criterion score, g3 i,j score for fatigue; The student classroom behavior criterion score is determined according to the modified score, the concentration score of the student in each seat, and the fatigue score by the following formula: Among them, ts4 is the fourth judgment threshold set, ts5 is the fifth judgment threshold set, g41 i,j Score behavior modification, g4 i Score the classroom behavior criteria.

2. The method for supervising student classroom behavior according to claim 1, characterized in that: Determine whether the class behavior of the student in each seat is abnormal based on the student class behavior criterion score, including: When the student's classroom behavior criterion score is g4 i When it is greater than the set sixth judgment threshold ts6, it is determined that the classroom behavior of the student in the i-th seat is abnormal; When the student's classroom behavior criterion score is g4 i When it is less than or equal to the set sixth judgment threshold ts6, it is determined that the classroom behavior of the student in the i-th seat is normal.

3. An electronic device, characterized in that: include: Processor and memory; The processor is used to execute a method for supervising student classroom behavior as described in any one of claims 1 to 2 by calling the program or instruction stored in the memory.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores programs or instructions, and the programs or instructions enable a computer to execute a method for supervising student classroom behavior as described in any one of claims 1 to 2.

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