CN110033400A - A kind of classroom monitoring analysis system - Google Patents

A kind of classroom monitoring analysis system Download PDF

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Publication number
CN110033400A
CN110033400A CN201910232257.2A CN201910232257A CN110033400A CN 110033400 A CN110033400 A CN 110033400A CN 201910232257 A CN201910232257 A CN 201910232257A CN 110033400 A CN110033400 A CN 110033400A
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CN
China
Prior art keywords
classroom
data
monitoring analysis
personnel
unit
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Pending
Application number
CN201910232257.2A
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Chinese (zh)
Inventor
冯伟
熊新红
张艳辉
冯亚春
吴新宇
梁国远
张晨宁
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Shenzhen Institute of Advanced Technology of CAS
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Shenzhen Institute of Advanced Technology of CAS
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Priority to CN201910232257.2A priority Critical patent/CN110033400A/en
Publication of CN110033400A publication Critical patent/CN110033400A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Abstract

The present invention is suitable for information and field of Educational Technology, provides a kind of classroom monitoring analysis system, including classroom data acquisition module, server, terminal device and database;Classroom data acquisition module obtains classroom data, and classroom data include at least one of human face data, expression data, sitting posture data, focus data and classroom interaction data;Server reads and analyzes classroom data and classroom staff list, obtains the first classroom monitoring analysis result based on classroom personnel;First classroom monitoring analysis result is also sent to terminal device and/or stored into database by server.The learning state of various couples of classroom personnel of the invention is provided and learns situation and is analyzed, and the first classroom monitoring analysis result is sent to terminal device, so that other people obtain the learning state of classroom personnel, study situation, and/or it stores into database, analysis comparison is carried out convenient for repeatedly recording, instructional strategies is advantageously improved, improves effect of giving lessons.

Description

A kind of classroom monitoring analysis system
Technical field
The present invention relates to information and field of Educational Technology more particularly to a kind of classroom monitoring analysis systems.
Background technique
Parent for children the status information of school acquisition, mainly still pass through communication between children and and Communication between schoolman.But such communication, more complete and comprehensive information generally can not be obtained in time.First, What the communication between parent and children was often retained;Second, the communication between parent and teacher, since teacher can not be right Each observation of students obtains exhaustive, when the problems such as bad habit, not wholwe-hearted school work occurs in student, can not find in time simultaneously It is conveyed to parent.Therefore, can various observation learning situation at school of students, learning state be so that student obtain it is more preferable Learning effect a key factor.
However, being directed to the learning management system of student at present, it usually needs student carries smart machine, the information of acquisition It is less, it is only capable of being monitored and managing from attendance etc. to student, therefore, it is difficult to according to collected information, timely analytics Raw learning state improves effect of giving lessons.
Summary of the invention
It is a primary object of the present invention to propose a kind of classroom monitoring analysis system, to solve to be directed to student in the prior art Management system acquisition of information it is insufficient, it is difficult in time the learning state of analysis student, improve the problem of effect difficulty of giving lessons.
To achieve the above object, first aspect of the embodiment of the present invention provides a kind of classroom monitoring analysis system, including classroom Data acquisition module, server, terminal device and database;
The classroom data acquisition module obtains classroom data, and the classroom data include human face data, expression data, seat At least one of appearance data, focus data and classroom interaction data;
The server, reads and analyzes the classroom data and classroom staff list, obtains the based on classroom personnel One classroom monitoring analysis result;
The first classroom monitoring analysis result is also sent to the terminal device and/or stored to institute by the server It states in database.
In conjunction with first aspect present invention, in the first embodiment of first aspect present invention, classroom monitoring analysis system System further includes classroom data preparation module;
The classroom data preparation module includes face identification unit, Expression Recognition unit, sitting posture recognition unit, focus Recognition unit and interaction recognition unit;
The face identification unit, obtains the human face data, and arrangement obtains the personnel of turning out for work;
The Expression Recognition unit obtains the expression data, arranges the mood for obtaining each personnel that turn out for work and each institute State the duration of mood;
The sitting posture recognition unit obtains the sitting posture data, arranges the sitting posture for obtaining each personnel that turn out for work and each institute State the duration of sitting posture;
The focus recognition unit, obtains the focus data, arrange the focus for obtaining each personnel that turn out for work and The duration of each focus;
The interaction recognition unit obtains the classroom interaction data, arranges the interaction value for obtaining each personnel that turn out for work.
First embodiment with reference to first aspect, in the second embodiment of first aspect, the face recognition unit, The human face data and the classroom demographic data are compared, turn out for work personnel described in acquisition.
First embodiment with reference to first aspect, in the third embodiment of first aspect, the Expression Recognition list Member classifies the expression data, obtains the mood;
The mood include it is neutral, angry, detest, be frightened, happy, sad and at least one of surprised.
First embodiment with reference to first aspect, in the 4th embodiment of first aspect, the sitting posture identification is single The sitting posture data classification is obtained the sitting posture by member;
The sitting posture include bow, lie prone down, leaning to one side tiltedly to sit, vertical body at least one of sits up straight and turns one's head.
First embodiment with reference to first aspect, in the 5th embodiment of first aspect, the focus identification Unit demarcates focus according to the duration of sitting posture recognition unit sitting posture obtained and each sitting posture.
First embodiment with reference to first aspect, in the sixth embodiment of first aspect, the interaction identification is single In member, the classroom interaction data are the frequency of classroom interactions;
The interaction recognition unit demarcates interaction value according to the frequency of the classroom interactions.
With reference to first aspect, in the 7th embodiment of first aspect, the server includes classroom data reception Block, classroom data analysis module and classroom data transmission blocks:
The classroom data reception module receives the classroom data of the classroom data collecting module collected;
The classroom data analysis module includes attendance analytical unit and classroom data statistics unit;
The attendance analytical unit is respectively using day, week, half a month, the moon, season, term as time span, according to the classroom Data and the classroom staff list count turn out for work number and the rate of attendance of classroom personnel, and obtain the personnel that turn out for work;
The classroom data statistics unit respectively using class hour, day, week, half a month, the moon, season, term as time span, according to The classroom data of the classroom data collecting module collected, the emotional change statistical chart for the personnel that turn out for work described in statistics, sitting posture statistics Figure, focus variation statistical chart and classroom interactions' statistical chart, obtain the classroom data statistics result based on the personnel of turning out for work;
According to the number of turning out for work of the classroom personnel, the rate of attendance and the classroom data statistics as a result, obtaining described first Classroom monitoring analysis result;
The classroom data transmission blocks send the first classroom monitoring analysis result to the terminal device and/or deposit Storage is into the database.
The 7th embodiment with reference to first aspect, in the 8th embodiment of first aspect, the classroom data point Analysing module further includes class's classroom data statistics unit:
The class classroom data statistics unit, according to first classroom monitoring analysis as a result, it is single for generating with class Position, respectively using class hour, day, week, half a month, the moon, season, term as the second classroom monitoring analysis result of time span.
The 8th embodiment with reference to first aspect, in the 9th embodiment of first aspect, the classroom data point Analysing module further includes Data Input unit;
The Data Input unit receives total marks of the examination information;
The classroom data statistics unit is also according to the second classroom monitoring analysis as a result, believing in conjunction with the total marks of the examination Breath, obtains the correlation analysis between the second classroom monitoring analysis result and the total marks of the examination information.
The 7th embodiment, the 8th embodiment and the 9th embodiment with reference to first aspect, the of first aspect In ten embodiments, the server further includes system management module;
The system management module provides a user the first classroom monitoring analysis result, described according to administration authority The degree of association point between second classroom monitoring analysis result, the second classroom monitoring analysis result and the total marks of the examination information At least one of analysis.
The tenth embodiment with reference to first aspect, in the 11st embodiment of first aspect, the system administration Module includes registration management unit and access administrative unit;
The registration management unit provides registration type according to user identity;
The access administrative unit provides a user administration authority according to user's registration type.
The embodiment of the present invention proposes a kind of classroom monitoring analysis system, including classroom data acquisition module, server, terminal Equipment and database, classroom data acquisition module counts the classroom data of classroom personnel from every side, so as to various Learning state and situation to classroom personnel are analyzed, and the first classroom monitoring analysis knot based on all classroom personnel is obtained First classroom monitoring analysis result is finally also sent to terminal device by fruit so that other people obtain classroom personnel learning state, Learn situation, and/or store into database, carry out analysis comparison convenient for repeatedly recording, advantageously improves instructional strategies, improves It gives lessons effect.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the classroom monitoring analysis system that the embodiment of the present invention one provides;
Fig. 2 is the structural schematic diagram for another classroom monitoring analysis system that the embodiment of the present invention one provides;
Fig. 3 is the structural schematic diagram of server provided by Embodiment 2 of the present invention;
Fig. 4 is emotional change statistical chart provided by Embodiment 2 of the present invention;
Fig. 5 is another emotional change statistical chart provided by Embodiment 2 of the present invention;
Fig. 6 is sitting posture statistical chart provided by Embodiment 2 of the present invention;
Fig. 7 is another sitting posture statistical chart provided by Embodiment 2 of the present invention;
Fig. 8 is that focus provided by Embodiment 2 of the present invention changes statistical chart;
Fig. 9 is that another focus provided by Embodiment 2 of the present invention changes statistical chart.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do There is also other identical elements in the process, method of element, article or device.
Herein, using the suffix for indicating such as " module ", " component " or " unit " of element only for advantageous In explanation of the invention, there is no specific meanings for itself.Therefore, " module " can be used mixedly with " component ".
In subsequent description, inventive embodiments serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
Embodiment one
As shown in Figure 1, the embodiment of the present invention one provides a kind of classroom monitoring analysis system 100, including classroom data are adopted Collect module 10, server 20, terminal device 30 and database 40.
In embodiments of the present invention, server 20 respectively with classroom data acquisition module 10, terminal device 30 and database 40 connections.
In embodiments of the present invention, classroom data acquisition module 10 is used for various acquisition classrooms data, classroom data It can include but is not limited to:
At least one of human face data, expression data, sitting posture data, focus data and classroom interaction data.
In one embodiment, classroom data acquisition module can be monitoring camera, be mounted in each homeroom, By technologies such as image recognition, Face datection, recognitions of face, classroom data of the personnel in classroom of turning out for work are obtained.
Wherein, classroom personnel are the student that participate in classroom, and the student in classroom of turning out for work is the personnel that turn out for work, in the server Classroom staff list is known.
In a particular application, select not needing classroom personnel wearing smart machine as classroom data acquisition module, so that Classroom personnel's participation is low, and classroom personnel is avoided to generate resentment.
As shown in Fig. 2, in embodiments of the present invention, classroom monitoring analysis system 100 further includes classroom data preparation module 50, for the classroom data that the above-mentioned classroom data acquisition module of finishing analysis obtains, to calculate the first classroom monitoring analysis result Data available is provided.
In embodiments of the present invention, classroom data preparation module 50 respectively with classroom data acquisition module 10 and server 20 Connection, so that the data in classroom data acquisition module 10 are by being sent to clothes after 50 finishing analysis of classroom data preparation module Business device 20.
In a particular application, data preparation module in classroom can be set in the data acquisition module of classroom, in local progress Data preparation work;Also it can be set in the server, carry out data preparation work on the server.
As shown in Fig. 2, classroom data preparation module 50 includes face identification unit 51, expression knowledge in the embodiment of the present invention Other unit 52, sitting posture recognition unit 53, focus recognition unit 54 and interaction recognition unit 55.
Wherein, face identification unit 51, obtain the human face data in the data of classroom, and arrangement obtains the personnel of turning out for work.
In a particular application, face identification unit compares the human face data in the data of classroom with classroom demographic data, if Human face data in the data acquisition module of classroom can be matched with the human face data in the demographic data of classroom, then the personnel are classroom The personnel that turn out for work in personnel.
It wherein, include a variety of data based on classroom personnel in the demographic data of classroom, the human face data of classroom personnel is also wrapped Including including.
Expression Recognition unit 52, obtain classroom data in expression data, arrange obtain each personnel that turn out for work mood and The duration of each mood.
In a particular application, Expression Recognition unit classifies expression data, obtains mood;Mood may include but unlimited In it is neutral, angry, detest, frightened, happy, sad and at least one of surprised.
Wherein, expression data is equally based on the implementation of the technologies such as Face datection, recognition of face, image recognition;Pass through class first The continual crawl image of hall data acquisition module, capture face, then identify this face, obtain feature (such as mouth from many aspects Angle angle, eye shape, facial muscle etc.), taxonomic revision goes out multiple expressions.
Sitting posture recognition unit 53, obtain classroom data in sitting posture data, arrange obtain each personnel that turn out for work sitting posture and The duration of each sitting posture.
In a particular application, sitting posture data classification is obtained sitting posture by sitting posture recognition unit;Sitting posture include bow, lie prone down, It leans to one side tiltedly to sit, vertical body at least one of sits up straight and turns one's head.
Wherein, sitting posture data Face datection, recognition of face, image recognition technical foundation on;Using based on convolution mind Detective operators through network identify each sitting posture and each sitting posture of each personnel that turn out for work in a predetermined time Duration, convenient for count sitting posture variation, detection classification is carried out to sitting posture.
Focus recognition unit 54, obtains the focus data in the data of classroom, and arrangement show that each personnel's that turn out for work is special The duration of note degree and each focus.
In a particular application, focus recognition unit, according to sitting posture recognition unit sitting posture obtained and each sitting posture Duration demarcates focus, i.e. focus and sitting posture corresponds.
Wherein, in sitting posture recognition unit, the sitting posture obtained according to sitting posture data classification, in focus recognition unit In, then the focus for the personnel of turning out for work can be determined by both sides strategy:
(1) if the sitting posture for the personnel that turn out for work is to lie prone down or turn one's head, determine that the focus of the personnel that turn out for work is lower, at this time may be used The numerical value of focus is demarcated as lower numerical value, such as 0.If the sitting posture for the personnel that turn out for work is that vertical body is sat up straight, determine that this is turned out for work The focus of personnel is higher, the numerical value of focus can be demarcated as high value, such as 1 at this time.
(2) if the sitting posture for the personnel that turn out for work is to lean to one side tiltedly to sit, determine the sitting posture of classmate around the personnel that turn out for work, further really The focus of the fixed personnel that turn out for work:
If A, the sitting posture of classmate is also to lean to one side tiltedly to sit, and view directions are opposite, then determine that this is turned out for work around the personnel that turn out for work The focus of personnel is lower, and the numerical value of focus can be demarcated as to lower numerical value, such as 0 at this time.
If B, the sitting posture of classmate is not to lean to one side tiltedly to sit, and view directions are not opposite around the personnel that turn out for work, then determine to go out The focus of diligent personnel is higher, the numerical value of focus can be demarcated as high value, such as 1 at this time.
In education of middle and primary schools, always it is the interacti ve teaching mode of guiding with teachers as its main body, therefore turns out for work personnel (i.e. The student to attend class) attention should concentrate on teacher or teacher writes on blackboard writing on the blackboard on.If turning out for work personnel simultaneously Attention focusing is not diverted attention state in above-mentioned two target, then can defaulting student and be in, therefore, the sight for the personnel that turn out for work or The judgement of view directions can also be used as the standard whether student is absorbed in front of person.
Recognition unit 55 is interacted, the classroom interaction data in the data of classroom are obtained, arrangement show that each personnel's that turn out for work is mutual Dynamic value.
In a particular application, it interacts in recognition unit, classroom interaction data are the frequency of classroom interactions;
Recognition unit is interacted according to the frequency of classroom interactions, demarcates interaction value.
Wherein, the frequency of classroom interactions can be pre- using convolution upgrade of network on the basis of Face datection identifies The model that one detection student of training raises one's hand to answer a question detects, by interaction recognition unit whether to evaluate a student A factor with aggressive good study habit, while whether can also have from the teaching methods of side scientificity There are enough interactivities.
In embodiments of the present invention, server 20 obtain base for reading and analyzing classroom data, classroom staff list In the first classroom monitoring analysis result of classroom personnel.
Server 20 is also used to the first classroom monitoring analysis result being sent to terminal device and/or store to database In.
In a particular application, the acquisition of the first classroom monitoring analysis result based on classroom personnel, it is necessary first to acquisition class Hall staff list, analyzes the rate of attendance of each classroom personnel, and selects the personnel that turn out for work, then according to above-mentioned classroom staff list and It turns out for work the classroom data of personnel, analysis obtains the first classroom monitoring analysis based on all classroom personnel as a result, i.e. based on all It should participate in the first classroom monitoring analysis result of the personnel in classroom.
In a particular application, server can send the monitoring point of the first classroom to terminal device by way of short message Analysis is as a result, or to terminal device pushed information, prompt user query.
In embodiments of the present invention, terminal device 30 can be to be multiple, for using in many ways, such as teacher, parent, school's pipe Reason person;The first classroom monitoring analysis result of classroom personnel can be shared out by terminal device so that everyone can in time, The learning state and study situation of classroom personnel are understood in detail.
In one embodiment, terminal device can include but is not limited to, mobile terminal, Intelligent bracelet, tablet computer and Desktop computer.
In embodiments of the present invention, classroom demographic data is stored in database 40, classroom demographic data is based on classroom The multi-party face data of personnel, not only includes student's list;It can also include the human face data of student;It can also include that classroom is supervised Analysis system is controlled on the classroom before current classroom, the first classroom monitoring analysis result stored.
Classroom monitoring analysis system provided in an embodiment of the present invention, including classroom data acquisition module, server, terminal are set Standby and database, classroom data acquisition module counts the classroom data of classroom personnel from every side, so as to various right The learning state and situation of classroom personnel is analyzed, and the first classroom monitoring analysis knot based on all classroom personnel is obtained First classroom monitoring analysis result is finally also sent to terminal device by fruit so that other people obtain classroom personnel learning state, Learn situation;And/or store into database, analysis comparison is carried out convenient for repeatedly recording, instructional strategies is advantageously improved, improves It gives lessons effect.
Embodiment two
As shown in figure 3, present invention implementation illustratively illustrates the server composed structure in embodiment one, service Device 20 includes classroom data reception module 21, classroom data analysis module 22 and classroom data transmission blocks 23.
In embodiments of the present invention, classroom data analysis module 22 respectively with classroom data reception module 21 and classroom data Sending module 23 connects.
In embodiments of the present invention, classroom data reception module 21, for receiving the class of classroom data collecting module collected Hall data, classroom data reception module are connect with classroom data acquisition module.
In embodiments of the present invention, classroom data analysis module 22, including attendance analytical unit and classroom data statistics list Member;
Wherein, attendance analytical unit is respectively using day, week, half a month, the moon, season, term as time span, according to the classroom The classroom data of data collecting module collected count turn out for work number and the rate of attendance of classroom personnel, and obtain the personnel that turn out for work.Classroom Turn out for work number and the rate of attendance of personnel can be the form of table, it is assumed that using day as time span, the output of attendance analytical unit Table are as follows:
Monday Tuesday Wednesday ……
Classroom personnel A
Classroom personnel B ?
……
Data statistics unit in classroom is respectively using class hour, day, week, half a month, the moon, season, term as time span, according to classroom The classroom data of data collecting module collected count emotional change statistical chart, sitting posture statistical chart, the focus variation for the personnel that turn out for work Statistical chart and classroom interactions' statistical chart obtain the classroom data statistics result based on the personnel of turning out for work.
Then according to the number of turning out for work of classroom personnel, the rate of attendance and classroom data statistics as a result, obtaining the monitoring of the first classroom Analyze result;
Classroom data transmission blocks send the first classroom monitoring analysis result and to terminal device and/or store to database In.
In a particular application, only at student attendance classroom, classroom monitoring analysis system could be adopted by classroom data Collection module is got in above-mentioned human face data, expression data, sitting posture data, focus data and classroom interaction data at least One.Therefore need first to count the classroom data statistics based on the personnel of turning out for work as a result, then in conjunction with classroom personnel number of turning out for work, The rate of attendance obtains the classroom personnel that are based on, i.e., the first classroom monitoring analysis result of whole students.
The embodiment of the present invention also illustratively provides the emotional change statistical chart for the personnel of turning out for work, including as shown in Figure 4 Emotional change trend graph and whole mood distribution map as shown in Figure 5.In Fig. 4, abscissa is to be obtained according to expression data classification Seven kinds of moods, including it is neutral, angry, detest, be frightened, happy, sad and at least one of surprised, ordinate is every kind of feelings The duration of thread, unit are the second;Fig. 5 can intuitively analyze classroom personnel mood on classroom and be distributed, anti-from mood distribution Reflect efficiency of listening to lecture.
The embodiment of the present invention also illustratively provides the sitting posture statistical chart for the personnel of turning out for work, including sitting posture as shown in FIG. 6 Changing tendency figure and whole sitting posture distribution map as shown in Figure 7.In Fig. 6, abscissa is five obtained according to sitting posture data classification Kind of sitting posture, including bow, lie prone down, leaning to one side tiltedly to sit, vertical body at least one of sits up straight and turns one's head, ordinate is holding for every kind of sitting posture The continuous time, unit is the second;Fig. 7 can intuitively analyze classroom personnel sitting posture on classroom and be distributed, and listen to the teacher from sitting posture distribution reflection Efficiency.
The embodiment of the present invention also illustratively provides the focus variation statistical chart for the personnel of turning out for work, including as shown in Figure 8 Focus changing tendency figure and whole focus distribution map as shown in Figure 9.In Fig. 8, abscissa indicates the time, and unit is Second, ordinate indicates the duration according to sitting posture and each sitting posture, the focus of calibration, wherein focus is that 1 expression is special Note, focus are that 0 expression is not absorbed in;Fig. 9 can intuitively analyze classroom personnel focus on classroom and be distributed, from focus point Cloth reflects efficiency of listening to lecture.
Classroom monitoring analysis system provided by the embodiment of the present invention, can be for each classroom personnel output such as above-mentioned figure 4 to Fig. 9 statistical result, to show the learning state and study situation of classroom personnel.
In one embodiment, classroom data analysis module further includes class's classroom data statistics unit.
Wherein, class classroom data statistics unit, according to the first classroom monitoring analysis as a result, generate as unit of class, Respectively using class hour, day, week, half a month, the moon, season, term as the second classroom monitoring analysis result of time span.
In a particular application, second classroom monitoring analysis is as a result, practical is a part of the first classroom monitoring analysis result, Each classroom personnel in second classroom monitoring analysis result belong to same class.
In one embodiment, data analysis module further includes Data Input unit.
Wherein, Data Input unit receives total marks of the examination information, and data statistics unit in classroom is also according to the second classroom Monitoring analysis obtains as unit of class as a result, in conjunction with the total marks of the examination information, and the second classroom of each classroom personnel is supervised Correlation analysis between control analysis result and total marks of the examination information.
In a particular application, as unit of class, between second classroom monitoring analysis result and total marks of the examination information Correlation analysis finds out class convenient for the relationship between grouping observation second classroom monitoring analysis result and total marks of the examination information In listen to the teacher low efficiency the main reason for, to find solution route, better the teaching plan, raising is given lessons efficiency.
In one embodiment, server further includes system management module.
Wherein, system management module provides a user the first classroom monitoring analysis result, the second classroom according to access authority At least one of correlation analysis between monitoring analysis result, second classroom monitoring analysis result and total marks of the examination information.
In a particular application, user has different access authority in system management module, according to different access rights Limit, the user of different access permission monitoring analysis result in the first classroom obtained are also different;It may be the monitoring point of the first classroom Analyse the degree of association point between result, second classroom monitoring analysis result, second classroom monitoring analysis result and total marks of the examination information At least one of analysis.
In one embodiment, system management module includes registration management unit and access administrative unit;
Wherein, registration management unit provides registration type according to user identity;
Administrative unit is accessed according to user's registration type, provides a user access authority.
In a particular application, user identity can include but is not limited to parent, teacher, the form master, school manager, It corresponds to parent, four kinds of teacher, the form master and school manager registration types, and for the user of four kinds of registration types, Access administrative unit in system management module is by the access authority different to user setting, to guarantee above-mentioned the first classroom prison Being associated between control analysis result, second classroom monitoring analysis result, second classroom monitoring analysis result and total marks of the examination information Degree analysis is authentic and valid, such as:
All kinds of statistical informations of oneself available child of parent;Teacher obtain oneself institute's band class and oneself All kinds of statistical informations of relevant course;All kinds of statistics of this available class of the available all teachers of the form master Information;The available all retrievable information of teacher of school manager.
Classroom monitoring analysis system provided in an embodiment of the present invention, including classroom data acquisition module, server, terminal are set Standby and database, is previously stored with the classroom demographic data for participating in this course in database, and classroom data acquisition module is from each side Face counts data of the classroom personnel on this classroom, thus enable the server to various couples of classroom personnel learning state and Study situation is analyzed, and the first classroom monitoring analysis result based on classroom personnel is obtained;Obtaining the monitoring point of the first classroom Analyse result on the basis of, server the second classroom monitoring analysis as unit of class can also be provided as a result, and also according to Second classroom monitoring analysis obtains the Lesson One of each classroom personnel as unit of class as a result, in conjunction with total marks of the examination information Correlation analysis between hall monitoring analysis result and total marks of the examination information, makes the classroom monitoring analysis system of the embodiment of the present invention It can be directed to Different Individual, export corresponding analysis, repeatedly carry out analyzing to compare being beneficial to, find out classroom personnel's efficiency of listening to lecture The main reason for low, betters the teaching plan consequently facilitating user finds solution route, improves efficiency of giving lessons.In addition, being based on classroom The first classroom monitoring analysis result, the second classroom monitoring analysis result based on class, second classroom monitoring analysis knot of personnel Fruit and the analysis of total marks of the examination information relevance, according to the registration type of user, will provide a user different access permission, in guarantee The analysis real result stated is effective.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although previous embodiment Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation Technical solution documented by example is modified or equivalent replacement of some of the technical features;And these modification or Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all include Within protection scope of the present invention.

Claims (12)

1. a kind of classroom monitoring analysis system, which is characterized in that including classroom data acquisition module, server, terminal device and Database;
The classroom data acquisition module obtains classroom data, and the classroom data include human face data, expression data, sitting posture number According at least one of, focus data and classroom interaction data;
The server reads and analyzes the classroom data and classroom staff list, obtains the Lesson One based on classroom personnel Hall monitoring analysis result;
The first classroom monitoring analysis result is also sent to the terminal device and/or stored to the number by the server According in library.
2. classroom monitoring analysis system as described in claim 1, which is characterized in that the classroom monitoring analysis system further includes Classroom data preparation module;
The classroom data preparation module includes face identification unit, Expression Recognition unit, sitting posture recognition unit, focus identification Unit and interaction recognition unit;
The face identification unit, obtains the human face data, and arrangement obtains the personnel of turning out for work;
The Expression Recognition unit obtains the expression data, arranges the mood and each feelings for obtaining each personnel that turn out for work The duration of thread;
The sitting posture recognition unit obtains the sitting posture data, arranges the sitting posture and each seat for obtaining each personnel that turn out for work The duration of appearance;
The focus recognition unit, obtains the focus data, arranges the focus for obtaining each personnel that turn out for work and each The duration of focus;
The interaction recognition unit obtains the classroom interaction data, arranges the interaction value for obtaining each personnel that turn out for work.
3. classroom monitoring analysis system as claimed in claim 2, which is characterized in that the face recognition unit, by the face Data are compared with the classroom demographic data, and turn out for work personnel described in acquisition.
4. classroom monitoring analysis system as claimed in claim 2, which is characterized in that the Expression Recognition unit, by the table Feelings data classification obtains the mood;
The mood include it is neutral, angry, detest, be frightened, happy, sad and at least one of surprised.
5. classroom monitoring analysis system as claimed in claim 2, which is characterized in that the sitting posture recognition unit, by the seat Appearance data classification obtains the sitting posture;
The sitting posture include bow, lie prone down, leaning to one side tiltedly to sit, vertical body at least one of sits up straight and turns one's head.
6. classroom monitoring analysis system as claimed in claim 2, which is characterized in that the focus recognition unit, according to institute The duration of sitting posture recognition unit sitting posture obtained and each sitting posture is stated, focus is demarcated.
7. classroom monitoring analysis system as claimed in claim 2, which is characterized in that in the interaction recognition unit, the class Hall interactive data is the frequency of classroom interactions;
The interaction recognition unit demarcates interaction value according to the frequency of the classroom interactions.
8. classroom monitoring analysis system as described in claim 1, which is characterized in that the server includes classroom data receiver Module, classroom data analysis module and classroom data transmission blocks:
The classroom data reception module receives the classroom data of the classroom data collecting module collected;
The classroom data analysis module includes attendance analytical unit and classroom data statistics unit;
The attendance analytical unit is respectively using day, week, half a month, the moon, season, term as time span, according to the classroom data With the classroom staff list, turn out for work number and the rate of attendance of classroom personnel are counted, and obtains the personnel that turn out for work;
The classroom data statistics unit is respectively using class hour, day, week, half a month, the moon, season, term as time span, according to described The classroom data of classroom data collecting module collected, the emotional change statistical chart of the personnel that turn out for work described in statistics, sitting posture statistical chart, specially Note degree changes statistical chart and classroom interactions' statistical chart, obtains the classroom data statistics result based on the personnel of turning out for work;
According to the number of turning out for work of the classroom personnel, the rate of attendance and the classroom data statistics as a result, obtaining first classroom Monitoring analysis result;
The classroom data transmission blocks send the first classroom monitoring analysis result to the terminal device and/or store to In the database.
9. classroom monitoring analysis system as claimed in claim 8, which is characterized in that the classroom data analysis module further includes Class's classroom data statistics unit:
The class classroom data statistics unit, according to first classroom monitoring analysis as a result, generating as unit of class, dividing Not using class hour, day, week, half a month, the moon, season, term as the second classroom monitoring analysis result of time span.
10. classroom monitoring analysis system as claimed in claim 9, which is characterized in that the classroom data analysis module also wraps Include Data Input unit;
The Data Input unit receives total marks of the examination information;
The classroom data statistics unit also according to the second classroom monitoring analysis as a result, in conjunction with the total marks of the examination information, Obtain the correlation analysis between the second classroom monitoring analysis result and the total marks of the examination information.
11. such as the described in any item classroom monitoring analysis systems of claim 8 to 10, which is characterized in that the server also wraps Include system management module;
The system management module provides a user the first classroom monitoring analysis result, described second according to administration authority In correlation analysis between classroom monitoring analysis result, the second classroom monitoring analysis result and the total marks of the examination information At least one.
12. classroom monitoring analysis system as claimed in claim 11, which is characterized in that the system management module includes registration Administrative unit and access administrative unit;
The registration management unit provides registration type according to user identity;
The access administrative unit provides a user administration authority according to user's registration type.
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