CN106846949A - A kind of long-range Emotional Teaching system - Google Patents

A kind of long-range Emotional Teaching system Download PDF

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Publication number
CN106846949A
CN106846949A CN201710130155.0A CN201710130155A CN106846949A CN 106846949 A CN106846949 A CN 106846949A CN 201710130155 A CN201710130155 A CN 201710130155A CN 106846949 A CN106846949 A CN 106846949A
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module
client
teacher
analysis module
student
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CN201710130155.0A
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不公告发明人
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Gold Blue Collar Education And Science Co Ltd Of Foshan City
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Gold Blue Collar Education And Science Co Ltd Of Foshan City
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Priority to CN201710130155.0A priority Critical patent/CN106846949A/en
Publication of CN106846949A publication Critical patent/CN106846949A/en
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/08Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • 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

Abstract

The present invention provides a kind of long-range Emotional Teaching system, it includes image capture module, color analysis module, pixels statisticses module, characteristic point analysis module, MBM, database, mood analysis module, big data processing module, teacher's client, student client, tutor auxiliary platform module, learner is shot by software systems, and aid in carrying out Treatment Analysis to image by the webserver, set up micro- expression shape change and behavior dynamic of people surface model analytic learning person, so as to the emotion for judging learner changes and sends prompting to teacher, realize Emotional Teaching.The system that the present invention is provided has the advantages that intelligent analysis, emotion aided education.

Description

A kind of long-range Emotional Teaching system
Technical field
The invention belongs to information-based remote teaching technical field, more particularly to a kind of long-range Emotional Teaching system.
Background technology
Emotional ability is the important symbol of human intelligence, the missing of emotion can influence network distance education quality of instruction and The results of learning of learner.Affection computation machine technology is harmonious man-machine interaction and research direction new in artificial intelligence field. Application affection computation theory and technology, can further optimize the function of network distance education in Remote Education System Based On Internet, help The emotion change of assiatant teacher's monitoring Distance Learners, adjusts instructional strategies and method, and the feedback of learner's emotion is given in real time, makes Quality of instruction reaches most preferably.
Recognition of face, is that the facial feature information based on people carries out a kind of biological identification technology of identification.With shooting Machine or camera image or video flowing of the collection containing face, and automatic detect and track face in the picture, and then to detection To face carry out a series of correlation techniques of face, generally also referred to as Identification of Images, face recognition.
Micro- expression, is psychology noun.People see heart impression expression to other side by doing some expressions, are done in people Different expressions between, or in certain expression, face's meeting " leakage " goes out other information." micro- expression " is most short by sustainable 1/25 Second, although a subconscious expression may be only lasted in a flash, but this characteristic, it is easy to expose mood.When face is doing During certain expression, these duration extremely short expression can flash across suddenly, and express opposite mood sometimes." micro- table Feelings " flash across, and the people and observer that typically even clear-headed work is expressed one's feelings are detectable.In experiment, only 10% people examines Feel.Compared with it is intended to know the expression made, " micro- expression " can more embody people really impression and motivation.
People face recognize on the basis of enter pedestrian's surface analysis in conjunction with " micro- expression ", using computer high speed catch and Computing capability can preferably recognize and analyze micro- expression shape change of people, such that it is able to judge the emotion of analysis object.
The content of the invention
Above mentioned problem is had based on prior art, the present invention provides a kind of long-range Emotional Teaching system, and it includes that image is adopted Collection module, color analysis module, pixels statisticses module, characteristic point analysis module, MBM, database, mood analysis module, Big data processing module, teacher's client, student client, tutor auxiliary platform module, are clapped learner by software systems Take the photograph, and aid in carrying out Treatment Analysis to image by the webserver, set up micro- expression shape change of people surface model analytic learning person With behavior dynamic, so as to judge the emotion change of learner and send prompting to teacher, Emotional Teaching is realized.What the present invention was provided System has the advantages that intelligent analysis, emotion aided education.
A kind of long-range Emotional Teaching system, it includes image capture module, color analysis module, pixels statisticses module, spy Levy point analysis module, MBM, database, mood analysis module, big data processing module, teacher's client, student client End, tutor auxiliary platform module;
Image capture module is connected to the capture apparatus of teacher's client and student client, and portrait is carried out by capture apparatus Shoot, and shooting angle and shooting focal length are adjusted according to the information feedback control capture apparatus of color analysis module, to shoot most Good image;
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system Meter module;
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature Data carry out the identification of pixels statisticses people face to image pixel;
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis Analysis, definition people's region feature point;
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position Move;
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and Psychological behavioral Characteristic analyzes the change of personage's mood and mood, and the emotional state of student is reacted into teacher's client, reminds Teacher's adjustment teaching;
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result;
Teacher's client is connected to supplementary module of preparing lessons, sentiment analysis module, and real-time recording instructional video simultaneously arrives video transmission Student client, and the state of teacher student is reminded according to the analysis result of sentiment analysis module;
Student client is connected to teacher's client, plays the video of teacher's client recording, and records the study video of student, Transmission of video to sentiment analysis module and teacher's client will be learnt;When student question by problem be sent to teacher's client and Student client of the same class;
Tutor auxiliary platform module includes archive of student, by course distribution student class, stores the content of preparing lessons of teacher.
Wherein, described mood analysis module include micro- Expression analysis module and behavioural analysis module, with reference to it is micro- expression and Behavior act judges student's state.
Wherein, described database includes people's region feature database, micro- expressive features database and Psychological behavioral Characteristic number According to storehouse.
Wherein, described image capture module includes still image acquisition module and dynamic image acquisition module, static map As the still image in acquisition module collection people face, the dynamic image in dynamic image acquisition module collection people face.
Wherein, described database includes local data base and internet data storehouse.
Wherein, described student client can be by the video storage of teacher's client recording in student's personal computer In.
Specific embodiment
With reference to specific embodiment, the invention will be further described.
A kind of long-range Emotional Teaching system, it includes image capture module, color analysis module, pixels statisticses module, spy Levy point analysis module, MBM, database, mood analysis module, big data processing module, teacher's client, student client End, tutor auxiliary platform module;
Image capture module is connected to the capture apparatus of teacher's client and student client, and portrait is carried out by capture apparatus Shoot, and shooting angle and shooting focal length are adjusted according to the information feedback control capture apparatus of color analysis module, to shoot most Good image;
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system Meter module;
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature Data carry out the identification of pixels statisticses people face to image pixel;
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis Analysis, definition people's region feature point;
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position Move;
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and Psychological behavioral Characteristic analyzes the change of personage's mood and mood, and the emotional state of student is reacted into teacher's client, reminds Teacher's adjustment teaching;
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result;
Teacher's client is connected to supplementary module of preparing lessons, sentiment analysis module, and real-time recording instructional video simultaneously arrives video transmission Student client, and the state of teacher student is reminded according to the analysis result of sentiment analysis module;
Student client is connected to teacher's client, plays the video of teacher's client recording, and records the study video of student, Transmission of video to sentiment analysis module and teacher's client will be learnt;When student question by problem be sent to teacher's client and Student client of the same class;
Tutor auxiliary platform module includes archive of student, by course distribution student class, stores the content of preparing lessons of teacher.
Used as embodiment is selected, described mood analysis module includes micro- Expression analysis module and behavioural analysis module, with reference to Micro- expression and behavior act judge student's state.
Used as embodiment is selected, described database includes people's region feature database, micro- expressive features database and psychological row It is characterized database.
Used as embodiment is selected, described image capture module includes still image acquisition module and dynamic image acquisition mould Block, the still image in still image acquisition module collection people face, the dynamic image in dynamic image acquisition module collection people face.
Used as embodiment is selected, described database includes local data base and internet data storehouse.
Used as embodiment is selected, described student client can be personal in student by the video storage of teacher's client recording In computer.
Embodiment described above only expresses one embodiment of the present invention, and its description is more specific and detailed, but simultaneously Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.

Claims (6)

1. a kind of long-range Emotional Teaching system, it includes image capture module, color analysis module, pixels statisticses module, feature Point analysis module, MBM, database, mood analysis module, big data processing module, teacher's client, student client, Tutor auxiliary platform module;
Image capture module is connected to the capture apparatus of teacher's client and student client, and portrait is carried out by capture apparatus Shoot, and shooting angle and shooting focal length are adjusted according to the information feedback control capture apparatus of color analysis module, to shoot most Good image;
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system Meter module;
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature Data carry out the identification of pixels statisticses people face to image pixel;
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis Analysis, definition people's region feature point;
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position Move;
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and Psychological behavioral Characteristic analyzes the change of personage's mood and mood, and the emotional state of student is reacted into teacher's client, reminds Teacher's adjustment teaching;
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result;
Teacher's client is connected to supplementary module of preparing lessons, sentiment analysis module, and real-time recording instructional video simultaneously arrives video transmission Student client, and the state of teacher student is reminded according to the analysis result of sentiment analysis module;
Student client is connected to teacher's client, plays the video of teacher's client recording, and records the study video of student, Transmission of video to sentiment analysis module and teacher's client will be learnt;When student question by problem be sent to teacher's client and Student client of the same class;
Tutor auxiliary platform module includes archive of student, by course distribution student class, stores the content of preparing lessons of teacher.
2. long-range Emotional Teaching system according to claim 1, it is characterised in that described mood analysis module includes micro- Expression analysis module and behavioural analysis module, student's state is judged with reference to micro- expression and behavior act.
3. long-range Emotional Teaching system according to claim 1, it is characterised in that described database includes people's region feature Database, micro- expressive features database and Psychological behavioral Characteristic database.
4. long-range Emotional Teaching system according to claim 1, it is characterised in that described image capture module includes quiet State image capture module and dynamic image acquisition module, the still image in still image acquisition module collection people face, dynamic image The dynamic image in acquisition module collection people face.
5. long-range Emotional Teaching system according to claim 1, it is characterised in that described database includes local data Storehouse and internet data storehouse.
6. long-range Emotional Teaching system according to claim 1, it is characterised in that described student client will can teach The video storage of teacher's client recording is in student's personal computer.
CN201710130155.0A 2017-03-07 2017-03-07 A kind of long-range Emotional Teaching system Pending CN106846949A (en)

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CN107292271A (en) * 2017-06-23 2017-10-24 北京易真学思教育科技有限公司 Learning-memory behavior method, device and electronic equipment
CN107492056A (en) * 2017-08-25 2017-12-19 宁波纷享软件科技有限公司 The mobile terminal and implementation method of special teaching
CN107844762A (en) * 2017-10-25 2018-03-27 大连三增上学教育科技有限公司 Information processing method and system
CN109101933A (en) * 2018-08-21 2018-12-28 重庆乐教科技有限公司 A kind of emotion-directed behavior visual analysis method based on artificial intelligence
CN109523852A (en) * 2018-11-21 2019-03-26 合肥虹慧达科技有限公司 The study interactive system and its exchange method of view-based access control model monitoring
CN110059614A (en) * 2019-04-16 2019-07-26 广州大学 A kind of intelligent assistant teaching method and system based on face Emotion identification
CN110428678A (en) * 2019-08-12 2019-11-08 重庆工业职业技术学院 A kind of computer online teaching management system
CN111803097A (en) * 2020-08-15 2020-10-23 吉林医药学院附属医院 Patient psychological state detection system based on big data
CN114998975A (en) * 2022-07-15 2022-09-02 电子科技大学成都学院 Foreign language teaching method and device based on big data

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CN109523852A (en) * 2018-11-21 2019-03-26 合肥虹慧达科技有限公司 The study interactive system and its exchange method of view-based access control model monitoring
CN110059614A (en) * 2019-04-16 2019-07-26 广州大学 A kind of intelligent assistant teaching method and system based on face Emotion identification
CN110428678A (en) * 2019-08-12 2019-11-08 重庆工业职业技术学院 A kind of computer online teaching management system
CN111803097A (en) * 2020-08-15 2020-10-23 吉林医药学院附属医院 Patient psychological state detection system based on big data
CN114998975A (en) * 2022-07-15 2022-09-02 电子科技大学成都学院 Foreign language teaching method and device based on big data

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Application publication date: 20170613