CN107145864A - A kind of concentration appraisal procedure and system - Google Patents
A kind of concentration appraisal procedure and system Download PDFInfo
- Publication number
- CN107145864A CN107145864A CN201710316975.9A CN201710316975A CN107145864A CN 107145864 A CN107145864 A CN 107145864A CN 201710316975 A CN201710316975 A CN 201710316975A CN 107145864 A CN107145864 A CN 107145864A
- Authority
- CN
- China
- Prior art keywords
- key point
- facial image
- eye
- human eye
- point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
Abstract
The invention discloses a kind of concentration appraisal procedure and system, this method includes：The facial image of student is gathered, face location is detected in facial image；Eyebrow key point, bridge of the nose key point and human eye key point are positioned in facial image；Using face location, eyebrow key point and bridge of the nose key-point analysis head movement state, according to human eye key-point analysis eye motion state；According to head movement state and eye motion state, the concentration to student scores.This method realizes the accuracy for improving and being absorbed in force estimation.
Description
Technical field
The present invention relates to field of Educational Technology, more particularly to a kind of concentration appraisal procedure and system.
Background technology
At present, due to the influence of social pressures, parent longs to see the son succeed in life is sent to the progress early education of early education mechanism by child, wishes
Hope the learning ability for thus improving child.In order to allow teaching more transparence, parents are also allowed to experience the advantage of professional teaching, children
It has been very universal phenomenon that camera is installed in youngster garden classroom.Parents can check video with login system, it is thus understood that school is old
Education of school raise an infant youngster whole process and child participate in learning process in every act and every move, every word and action.For child's concentration
Degree and specific study situation and quality, then also need to feedback and evaluation by teacher to perceive.
Due to teacher and student it is difficult to 1 pair 1 of relation, so even being used videotape to record by video, teacher also is difficult to children
Each section of learning process, each details of youngster is observed and understood, therefore is commented in the study to child and concentration
Valency relative will summarize and subjective, but the index of subjective assessment is because the subjective thought of people is dominated, often with strong
Personal emotion color, it is unilateral, dogmatic that evaluation result is often, and the accuracy for being absorbed in force estimation is relatively low.In preschool education
In field, the method for analyzing child's concentration is relatively conventional, and the analysis method without science also have impact on whole teaching process
Learning efficiency.
The content of the invention
It is an object of the invention to provide a kind of concentration appraisal procedure and system, the accurate of force estimation is absorbed in realize to improve
Property.
In order to solve the above technical problems, the present invention provides a kind of concentration appraisal procedure, including：
The facial image of student is gathered, face location is detected in facial image；
Eyebrow key point, bridge of the nose key point and human eye key point are positioned in facial image；
Using face location, eyebrow key point and bridge of the nose key-point analysis head movement state, according to human eye key point point
Analyse eye motion state；
According to head movement state and eye motion state, the concentration to student scores.
It is preferred that, face location is detected in facial image, including：Calibration model is cascaded in facial image using returning
Search face location.
It is preferred that, positioning eyebrow key point, bridge of the nose key point and the human eye key point in facial image, including：
Track algorithm positioning eyebrow key point, bridge of the nose key point and human eye key point are utilized in facial image.
It is preferred that, according to human eye key-point analysis eye motion state, including：
According to human eye key point, human eye is alignd with horizontal line by affine change, judge eye state for eyes-open state
Or closed-eye state, obtains eye motion state.
The present invention also provides a kind of concentration assessment system, for realizing the above method, including：
Acquisition module, the facial image for gathering student, detects face location in facial image；
Locating module, for positioning eyebrow key point, bridge of the nose key point and human eye key point in facial image；
Analysis module, for utilizing face location, eyebrow key point and bridge of the nose key-point analysis head movement state, foundation
Human eye key-point analysis eye motion state；
Grading module, for according to head movement state and eye motion state, the concentration to student to score.
It is preferred that, the acquisition module is existed specifically for the facial image of collection student using cascade calibration model is returned
Face location is searched in facial image.
It is preferred that, the locating module in facial image specifically for utilizing track algorithm positioning eyebrow key point, nose
Beam key point and human eye key point.
It is preferred that, the analysis module is specifically for utilizing face location, eyebrow key point and bridge of the nose key-point analysis head
Portion's motion state；According to human eye key point, human eye is alignd with horizontal line by affine change, judge eye state for eye opening shape
State or closed-eye state, obtain eye motion state.
A kind of concentration appraisal procedure and system provided by the present invention, gather the facial image of student, in facial image
Middle detection face location；Eyebrow key point, bridge of the nose key point and human eye key point are positioned in facial image；Utilize face position
Put, eyebrow key point and bridge of the nose key-point analysis head movement state, according to human eye key-point analysis eye motion state；Foundation
Head movement state and eye motion state, the concentration to student score.It can be seen that, by the eyebrow in facial image
Key point, bridge of the nose key point and human eye key point are analyzed, and are obtained head movement state and eye motion state, are passed through head
Motion state and eye motion state obtain the appraisal result of concentration, so no longer have artificial subjective assessment, directly pass through
Facial image is analyzed, head movement state and eye motion state is obtained, and then obtains the scoring of concentration, concentration is improved
The accuracy of assessment.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of concentration appraisal procedure provided by the present invention；
Fig. 2 is children's concentration analysis process figure；
Fig. 3 is a kind of structural representation of concentration assessment system provided by the present invention.
Embodiment
The core of the present invention is to provide a kind of concentration appraisal procedure and system, and the accurate of force estimation is absorbed in realize to improve
Property.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is a kind of flow chart of concentration appraisal procedure provided by the present invention, and this method includes：
S11：The facial image of student is gathered, face location is detected in facial image；
S12：Eyebrow key point, bridge of the nose key point and human eye key point are positioned in facial image；
S13：It is crucial according to human eye using face location, eyebrow key point and bridge of the nose key-point analysis head movement state
Point analysis eye motion state；
S14：According to head movement state and eye motion state, the concentration to student scores.
It can be seen that, in this method, by being carried out to the eyebrow key point in facial image, bridge of the nose key point and human eye key point
Analysis, obtains head movement state and eye motion state, concentration is obtained by head movement state and eye motion state
Appraisal result, so no longer there is artificial subjective assessment, directly by analyzing facial image, obtain head movement state and
Eye motion state, and then the scoring of concentration is obtained, improve the accuracy for being absorbed in force estimation.
Based on the above method, specifically, in step S11, the process that face location is detected in facial image is specially：Profit
Face location is searched in facial image with cascade calibration model is returned.
Further, step S12 process is specially：In facial image using track algorithm positioning eyebrow key point,
Bridge of the nose key point and human eye key point.
Further, in step S13, the process according to human eye key-point analysis eye motion state is specially：According to people
Eye key point, makes human eye be alignd with horizontal line, judges that eye state, for eyes-open state or closed-eye state, is obtained by affine change
To eye motion state.
Fig. 2 is children's concentration analysis process figure, and based on this method, specific implementation process is as follows：
Step 1：Camera and course intelligence PPT start simultaneously, and will collect face information, video information and be sent to letter
Cease processing center；
Step 2：Information processing centre utilize according to the position of Intelligent seat calculate the space geometry of face and camera away from
From scaling filter is realized in design；
Step 3：When the first two field picture is reached, the feature templates of face are imported, and search using cascade calibration model is returned
The position that rope occurs to face in video image；
Step 4：The face location detected is preserved, and regard the integral position information of face as the initial of crucial point location
Change information；
Step 5：When next two field picture is reached, face tracking is completed using correlation filtering；
Step 6：According to the face location of positioning, aid in detecting the position of face using track algorithm and position key point；
Step 7：The calculating of face motion intense degree is completed using the eyebrow in face location and key point and the bridge of the nose；Will
According to the head position traced into, 19 key points of positioning eyebrow and nose, and eyes 10 key points, what it was referred to
Index has, coordinate of the face location in K framesEyebrow and nose shapeChangeCalculation formula is as follows：
Step 8：According to human eye key point position, by affine change, make human eye with horizontal line to it, and pass through its height
Judge to open eyes or close one's eyes, complete the estimation of human eye；Eye state S calculation formula are as follows：
Wherein, it is eye opening that S, which is 1, and it is eye closing to be 0, and H represents the distance of key point on the y axis；
Step 9：To improve the robustness of this method, gathered by ten frames and calculate what average point was attended class to judge children per second
Concentration, the scoring SCORE of concentration calculation formula is：
Wherein, Λ is mediation parameter；
Step 10：Concentration degree to the concerned degree of each knowledge point, and children is given a mark and ranking, generation
Corresponding analysis report.
Detailed, after classroom instruction starts, the face information of student, and detection image are shot by the camera on desk
In face location.After face location is detected, data processing centre is according to the face Critical point model pre-defined
Positioning is completed, the status information of real-time estimation face analyzes the concentration of student by the change of face key point.The present invention
Carry out the assessment of student's focus using graphical analysis, come feed back Classroom instruction quality and the study situation of child in time, enter without
The learning quality of the disconnected teaching method, level and child for improving teacher, ability, and child is formed good study
And habits and customs.
Due to being that the research of concentration is carried out using naked eyes, video observation and the judgement of subjectivity in the prior art, and this
Invention is analyzed using science algorithm, so the specific classroom that the embodiment of the present invention is applied, is combined with teacher's teaching
PPT, in combination with the utilization of desk camera and back-end data processing center parser so that teaching process is for each
Individual child, that is, realize man-to-man video acquisition, detection, positioning and analysis.Finally by parser draw more rationality, more
The conclusion of the concentration analysis of science.The present invention final form for whenever and wherever possible for participation preschool education everyone provide
Intelligent informationization is serviced.
Child first is by the study of single course, and the present invention is showed according to the study content of same day child, classroom, is carried out
Child's data statistics on the one, summarize, obtain curiosity, the index such as acuity, at the same single lesson data index with course he
Personal data is compared, help to find child to the focus of course, in terms of unknown curiosity with regard to certain course or with it is same
Gap between age people.Secondly by the study of 4 classes time front-month time course, present invention basis is to child in a curricular system
In learning performance carry out data statistics, including the index such as focus, curiosity, susceptibility, communication exchange, and carry out individual and refer to
Mark and with batch average index brief summary.The personal data index and the curiosity with batch child obtained finally according to the moon time course
The indexs such as the heart, focus, acuity are compared, analyzed, the characteristics of help understands child and hobby, so as to help child to concentrate
Notice, and then improve learning efficiency.
Wherein, filtering be by the operation that specific band frequency is filtered out in signal, be suppress and prevent interference one it is important
Measure, is the result of a certain random process according to the observation, the probability theory estimated another random process associated therewith
With method.Robustness refers to that control system under the Parameter Perturbation of certain (structure, size), maintains the spy of some other performances
Property, to characterization control system to characteristic or the insensitivity of parameter perturbation.
Fig. 3 is refer to, Fig. 3 is a kind of structural representation of concentration assessment system, and the system is used to realize the above method,
The system includes：
Acquisition module 101, the facial image for gathering student, detects face location in facial image；
Locating module 102, for positioning eyebrow key point, bridge of the nose key point and human eye key point in facial image；
Analysis module 103, for utilizing face location, eyebrow key point and bridge of the nose key-point analysis head movement state,
According to human eye key-point analysis eye motion state；
Grading module 104, for according to head movement state and eye motion state, the concentration to student to be commented
Point.
It can be seen that, in the system, by being carried out to the eyebrow key point in facial image, bridge of the nose key point and human eye key point
Analysis, obtains head movement state and eye motion state, concentration is obtained by head movement state and eye motion state
Appraisal result, so no longer there is artificial subjective assessment, directly by analyzing facial image, obtain head movement state and
Eye motion state, and then the scoring of concentration is obtained, improve the accuracy for being absorbed in force estimation.
Based on said system, specifically, facial image of the acquisition module specifically for collection student, utilizes and returns cascade school
Positive model searches face location in facial image.
Further, locating module is specifically for utilizing track algorithm positioning eyebrow key point, the bridge of the nose in facial image
Key point and human eye key point.
Further, analysis module is specifically for utilizing face location, eyebrow key point and bridge of the nose key-point analysis head
Motion state；According to human eye key point, human eye is alignd with horizontal line by affine change, judge eye state for eyes-open state
Or closed-eye state, obtains eye motion state.
Further, acquisition module is camera, and locating module, characteristic module and mood module are set in data handling
The heart.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
A kind of concentration appraisal procedure and system provided by the present invention are described in detail above.It is used herein
Specific case is set forth to the principle and embodiment of the present invention, and the explanation of above example is only intended to help and understands
The method and its core concept of the present invention.It should be pointed out that for those skilled in the art, not departing from this
On the premise of inventive principle, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into the present invention
In scope of the claims.
Claims (8)
1. a kind of concentration appraisal procedure, it is characterised in that including：
The facial image of student is gathered, face location is detected in facial image；
Eyebrow key point, bridge of the nose key point and human eye key point are positioned in facial image；
Using face location, eyebrow key point and bridge of the nose key-point analysis head movement state, according to human eye key-point analysis eye
Portion's motion state；
According to head movement state and eye motion state, the concentration to student scores.
2. the method as described in claim 1, it is characterised in that face location is detected in facial image, including：Utilize recurrence
Cascade calibration model searches face location in facial image.
3. method as claimed in claim 2, it is characterised in that eyebrow key point, the bridge of the nose of being positioned in facial image is closed
Key point and human eye key point, including：Track algorithm positioning eyebrow key point, bridge of the nose key point and human eye are utilized in facial image
Key point.
4. method as claimed in claim 3, it is characterised in that according to human eye key-point analysis eye motion state, including：
According to human eye key point, human eye is alignd with horizontal line by affine change, judge eye state for eyes-open state still
Closed-eye state, obtains eye motion state.
5. a kind of concentration assessment system, it is characterised in that for realizing the side as described in any one in Claims 1-4
Method, including：
Acquisition module, the facial image for gathering student, detects face location in facial image；
Locating module, for positioning eyebrow key point, bridge of the nose key point and human eye key point in facial image；
Analysis module, for using face location, eyebrow key point and bridge of the nose key-point analysis head movement state, according to human eye
Key-point analysis eye motion state；
Grading module, for according to head movement state and eye motion state, the concentration to student to score.
6. system as claimed in claim 5, it is characterised in that face figure of the acquisition module specifically for collection student
Picture, face location is searched using cascade calibration model is returned in facial image.
7. system as claimed in claim 6, it is characterised in that the locating module specifically for utilized in facial image with
Track algorithm positioning eyebrow key point, bridge of the nose key point and human eye key point.
8. system as claimed in claim 7, it is characterised in that the analysis module is specifically for utilizing face location, eyebrow
Key point and bridge of the nose key-point analysis head movement state；According to human eye key point, human eye and horizontal line are made by affine change
Alignment, judges that eye state, for eyes-open state or closed-eye state, obtains eye motion state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710316975.9A CN107145864A (en) | 2017-05-08 | 2017-05-08 | A kind of concentration appraisal procedure and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710316975.9A CN107145864A (en) | 2017-05-08 | 2017-05-08 | A kind of concentration appraisal procedure and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107145864A true CN107145864A (en) | 2017-09-08 |
Family
ID=59776915
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710316975.9A Pending CN107145864A (en) | 2017-05-08 | 2017-05-08 | A kind of concentration appraisal procedure and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107145864A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108256499A (en) * | 2018-02-05 | 2018-07-06 | 湖南科乐坊教育科技股份有限公司 | A kind of book assessment information determines method, apparatus and system |
| CN108460700A (en) * | 2017-12-28 | 2018-08-28 | 合肥壹佰教育科技有限公司 | A kind of intelligence students' educational management regulator control system |
| CN109359613A (en) * | 2018-10-29 | 2019-02-19 | 四川文轩教育科技有限公司 | A kind of teaching process analysis method based on artificial intelligence |
| CN110472883A (en) * | 2019-08-21 | 2019-11-19 | 上海信立德教育科技集团有限公司 | Child's Social sex consciousness level evaluation method, device, system and storage medium |
| CN111862706A (en) * | 2020-07-27 | 2020-10-30 | 联想(北京)有限公司 | Information processing method and system based on online teaching and electronic equipment |
| US20210326585A1 (en) * | 2018-08-11 | 2021-10-21 | Kunshan Meizhuo Intelligent Technology Co., Ltd. | Smart desk having status monitoring function, monitoring system server, and monitoring method |
| CN113936327A (en) * | 2021-12-17 | 2022-01-14 | 上海宝意医疗健康科技有限公司 | Amblyopia training supervision method and device, computer readable storage medium and terminal |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101499128A (en) * | 2008-01-30 | 2009-08-05 | 中国科学院自动化研究所 | Three-dimensional human face action detecting and tracing method based on video stream |
| CN101667248A (en) * | 2008-09-04 | 2010-03-10 | 索尼株式会社 | Image processing apparatus, imaging apparatus, image processing method, and program |
| CN105373767A (en) * | 2015-07-23 | 2016-03-02 | 中山大学深圳研究院 | Eye fatigue detection method for smart phones |
| CN105825189A (en) * | 2016-03-21 | 2016-08-03 | 浙江工商大学 | Device for automatically analyzing attendance rate and class concentration degree of college students |
| CN105893980A (en) * | 2016-04-26 | 2016-08-24 | 北京科技大学 | Method and system for evaluating concentration degree of attention |
| CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
| CN106295511A (en) * | 2016-07-26 | 2017-01-04 | 北京小米移动软件有限公司 | Face tracking method and device |
-
2017
- 2017-05-08 CN CN201710316975.9A patent/CN107145864A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101499128A (en) * | 2008-01-30 | 2009-08-05 | 中国科学院自动化研究所 | Three-dimensional human face action detecting and tracing method based on video stream |
| CN101667248A (en) * | 2008-09-04 | 2010-03-10 | 索尼株式会社 | Image processing apparatus, imaging apparatus, image processing method, and program |
| CN105373767A (en) * | 2015-07-23 | 2016-03-02 | 中山大学深圳研究院 | Eye fatigue detection method for smart phones |
| CN105825189A (en) * | 2016-03-21 | 2016-08-03 | 浙江工商大学 | Device for automatically analyzing attendance rate and class concentration degree of college students |
| CN105893980A (en) * | 2016-04-26 | 2016-08-24 | 北京科技大学 | Method and system for evaluating concentration degree of attention |
| CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
| CN106295511A (en) * | 2016-07-26 | 2017-01-04 | 北京小米移动软件有限公司 | Face tracking method and device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108460700A (en) * | 2017-12-28 | 2018-08-28 | 合肥壹佰教育科技有限公司 | A kind of intelligence students' educational management regulator control system |
| CN108256499A (en) * | 2018-02-05 | 2018-07-06 | 湖南科乐坊教育科技股份有限公司 | A kind of book assessment information determines method, apparatus and system |
| US20210326585A1 (en) * | 2018-08-11 | 2021-10-21 | Kunshan Meizhuo Intelligent Technology Co., Ltd. | Smart desk having status monitoring function, monitoring system server, and monitoring method |
| US11836631B2 (en) * | 2018-08-11 | 2023-12-05 | Kunshan Meizhuo Intelligent Technology Co., Ltd. | Smart desk having status monitoring function, monitoring system server, and monitoring method |
| CN109359613A (en) * | 2018-10-29 | 2019-02-19 | 四川文轩教育科技有限公司 | A kind of teaching process analysis method based on artificial intelligence |
| CN110472883A (en) * | 2019-08-21 | 2019-11-19 | 上海信立德教育科技集团有限公司 | Child's Social sex consciousness level evaluation method, device, system and storage medium |
| CN111862706A (en) * | 2020-07-27 | 2020-10-30 | 联想(北京)有限公司 | Information processing method and system based on online teaching and electronic equipment |
| CN113936327A (en) * | 2021-12-17 | 2022-01-14 | 上海宝意医疗健康科技有限公司 | Amblyopia training supervision method and device, computer readable storage medium and terminal |
| CN113936327B (en) * | 2021-12-17 | 2022-04-15 | 上海宝意医疗健康科技有限公司 | Amblyopia training supervision method and device, computer readable storage medium and terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107145864A (en) | A kind of concentration appraisal procedure and system | |
| Gupta et al. | Daisee: Towards user engagement recognition in the wild | |
| Li et al. | Massive open online proctor: Protecting the credibility of MOOCs certificates | |
| CN108399376A (en) | Student classroom learning interest intelligent analysis method and system | |
| CN106228293A (en) | teaching evaluation method and system | |
| CN109977903A (en) | The method, apparatus and computer storage medium of a kind of wisdom classroom student-directed | |
| CN102945624A (en) | Intelligent video teaching system based on cloud calculation model and expression information feedback | |
| WO2021077382A1 (en) | Method and apparatus for determining learning state, and intelligent robot | |
| CN111291613B (en) | Classroom performance evaluation method and system | |
| CN107133593A (en) | A kind of child's mood acquisition methods and system | |
| Indi et al. | Detection of malpractice in e-exams by head pose and gaze estimation | |
| Abdulkader et al. | Optimizing student engagement in edge-based online learning with advanced analytics | |
| CN111523444B (en) | Classroom behavior detection method based on improved Openpost model and facial micro-expression | |
| Kumar et al. | Study of academic achievement in relation to family environment among adolescents | |
| CN110580470A (en) | Monitoring method and device based on face recognition, storage medium and computer equipment | |
| CN111507592A (en) | Evaluation method for active modification behaviors of prisoners | |
| CN111523445B (en) | Examination behavior detection method based on improved Openpost model and facial micro-expression | |
| Li et al. | Research on leamer's emotion recognition for intelligent education system | |
| Quan | Development of computer aided classroom teaching system based on machine learning prediction and artificial intelligence KNN algorithm | |
| Masud et al. | Smart online exam proctoring assist for cheating detection | |
| Razzakberdiyevna | CRITICAL THINKING IN EDUCATION: DISCUSSION AND PROBLEMSOLVING TECHNIQUE | |
| KR20210062855A (en) | Online lecture concentration analysis system and service | |
| Liu et al. | An improved method of identifying learner's behaviors based on deep learning | |
| Meriem et al. | Determine the level of concentration of students in real time from their facial expressions | |
| Shah et al. | Assessment of student attentiveness to e-learning by monitoring behavioural elements |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170908 |