CN108806375A - A kind of interactive teaching method and system based on image recognition - Google Patents
A kind of interactive teaching method and system based on image recognition Download PDFInfo
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- CN108806375A CN108806375A CN201810437603.6A CN201810437603A CN108806375A CN 108806375 A CN108806375 A CN 108806375A CN 201810437603 A CN201810437603 A CN 201810437603A CN 108806375 A CN108806375 A CN 108806375A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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Abstract
The interactive teaching method and system based on image recognition that the present invention provides a kind of, including image capture module, picture recognition module, control module and display module；The gesture picture of interactive teaching and learning process middle school student is obtained by image capture module, then gesture picture is identified by picture recognition module, and then by control module statistical result, is shown result finally by display module；Compared with existing on-line education system, invention defines the numerologies representated by different gestures, student can select the option of teacher's proposition problem by gesture, and utilize the option of picture recognition module statistic selection, teacher is set fast and accurately to hold the information of Students ' Feedback, compared with existing on-line education system, student and teacher are interactive face-to-face, can improve the attention and enthusiasm of student's study；Meanwhile teacher does not have to the feedback information for receiving student one by one, improves efficiency of teaching.
Description
Technical field
The present invention relates to tutor auxiliary platform equipment technical field more particularly to a kind of interactive teaching methods based on image recognition
And system.
Background technology
Classroom instruction is one of current most important forms of education.In Activities for Teaching, interactive teaching can make to award
Class teacher understands understanding and Grasping level of the student to knowledge point in time, and teacher can teach according to the feedback adjustment appropriate of student
Content and progress are learned, realizes effective communication rather than only unidirectional knowledge dissemination, and then enliven classroom atmosphere to improve teaching
Effect.
Common interactive teaching substantially divides two ways：One is the mode of classroom questioning, the shortcomings that this mode be
Teacher can only understand the grasp situation of individual student in the limited time, it is difficult to hold global learning situation；Another way is
Faculty and Students are carried out interactive by on-line education system；Existing on-line education system, including teacher's terminal, gateway service
Equipment such as device, user terminal etc., teacher's terminal provide the video information of course, and then broadband gateway device passes through gateway server
Curriculum video information is sent to user terminal, audient is the lecture contents that may be viewed by teacher by user terminal；However, sending out
Also occur some problems during exhibition：Due to the limitation of virtual world, audient and teacher's interactivity are bad；Each user's
Study schedule is inconsistent, different to the Grasping level of knowledge point, and is difficult to meet audient's personalization using unified school timetable
Demand.
In order to solve the above-mentioned technical problem, following patents disclose following technical scheme：
（1）Patent CN201320133075.8 discloses the solution including teacher's terminal, server and at least one user terminal
Scheme, teacher's terminal and at least one user terminal are all connected to the server by means of cordless communication network；
（2）Patent CN201410132195.5 discloses a kind of method and system of online education interaction, including by the first client
End obtains the information that user writes manually, responds the transmission request of user, the information write manually is sent to destination client；
After destination client receives, described information is presented to target user, while obtaining the feedback information that target user writes manually
Mode realize；
（3）Patent CN201310567606.9 public affairs develop a kind of online education questioning method and system, including server, and
The lecturer end being connect with the server and several user terminals, the system further include：Module is submitted, lecturer end and several use are set to
Family end；Forwarding module is set in server, and problem, which is sent to other users end and lecturer end, for server shows
Show and the answer is sent to user terminal and lecturer end；
（4）Patent CN201610813907.9 discloses a kind of on-line education system of mobile Internet, including：Cloud storage end,
The modules such as client, data structure unit, personalized recommendation unit, learning evaluation unit；Cloud storage end is for providing magnanimity
The cloud storage of data realizes that data are preserved, backed up；Client, the client is for uploading or downloading corresponding data；Data knot
For structure unit for the learning materials in data to be classified and are converted into fine granularity and can be examined, formation can assess data；It is a
Property recommendation unit several course templates are customized according to learning materials official custom or user individual, the module is according to course mould
Plate customizes sequence of curriculum arrangement and realizes online education：The number that learning evaluation unit is collected according to practice evaluation and test, test evaluation and test, learning process
According to assessment student learns situation.
Although above-mentioned four kinds of educational systems realize the online interaction between Faculty and Students, but based on traditional religion
Pattern submits information to teacher by student, the pattern that teacher audits one by one；On the one hand the instruction cost of this mode compares
High and efficiency is low, and another aspect student is easy to divert one's attention from class offerings when operating on-line education system.
Invention content
The interactive teaching method and system based on image recognition that the purpose of the present invention is to provide a kind of, can improve teacher
Interaction between student allows teacher fast and accurately to hold the information of Students ' Feedback.
To achieve the goals above, the present invention uses following technical scheme：
A kind of interactive teaching method based on image recognition, includes the following steps：
Step A：Careful preparation includes the following steps：
Step A1：Define the meaning of different gestures；
Step A2：The gesture identification model based on CNN is trained using different gestures described in step A；
Step B：Classroom interaction includes the following steps：
Step B1：Teacher proposes problem, and provides several options, and number of options is less than gesture quantity；
Step B2：Teacher utilizes image acquisition device student's gesture；
Step B3：Utilize the student's gesture acquired in the gesture identification Model Identification step B2 based on CNN described in step A2；
Step B4：Using student's gesture after the gesture identification modeling statistics identification based on CNN described in step A2 and generate system
It counts；
Step B5：Statistical data of the teacher according to step B4 is imparted knowledge to students.
The step A1 includes the following steps：
Step A11：Different gestures is designed by Faculty and Students, and defines the number representated by different gestures；
Step A12：Different gesture pictures defined in collection step A11.
The step A2 includes the following steps：
Step A21：Gesture different in step A12 is classified according to defined number, forms category images collection；
Step A22：According to gestures detection model of the category images collection training described in step A21 based on CNN；
Step A23：According to gesture identification model of the category images collection training described in step A21 based on CNN.
According to the side of gestures detection model of the category images collection training described in step A21 based on CNN described in step A22
Method is:Use category images collection described in " dnn_mmod_ex " class read step A21 in the libraries Dlib, hand of the training based on CNN
Gesture detection model.
According to the side of gesture identification model of the category images collection training described in step A21 based on CNN described in step A23
Method is：Use category images collection described in the read step A21 of the libraries Dlib, gesture identification model of the training based on CNN.
Statistical data described in step B4 is block diagram, cake chart or bar chart.
A kind of interactive education system based on image recognition, including
Image capture module is arranged in classroom front upper place, the images of gestures for acquiring student；
Picture recognition module for storing the gestures detection model based on CNN and the gesture identification model based on CNN, and uses
The student's of the gestures detection model based on CNN and the gesture identification Model Identification image capture module acquisition based on CNN
Images of gestures；
Display module, the statistical data generated for showing picture recognition module；
Control module is responsible for receiving the control instruction of teacher, and the control instruction of teacher is transferred to image capture module, image
Identification module and display module, and for the result statistical data according to the gesture identification Model Identification based on CNN；
Wherein, image capture module, picture recognition module, control module and display module communicate to connect successively, and Image Acquisition
Module is also communicated to connect with control module.
The display module uses display or projecting apparatus.
The control module uses computer or mobile terminal.
Beneficial effects of the present invention：
A kind of interactive teaching method and system based on image recognition of the present invention, defines the number representated by different gestures
Word meaning, student can select teacher to propose the option of problem by gesture, and utilize the selection of picture recognition module statistic
Option allows teacher fast and accurately to hold the information of Students ' Feedback, compared with existing on-line education system, Xue Shenghe
Teacher is interactive face-to-face, can improve the attention and enthusiasm of student's study；Meanwhile teacher does not have to receive the anti-of student one by one
Feedforward information improves efficiency of teaching.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in being described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, other drawings may also be obtained based on these drawings.
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is the structural schematic diagram of the present invention.
Specific implementation mode
Technical scheme of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
The every other embodiment that personnel are obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1：A kind of interactive teaching method based on image recognition of the present invention, including careful preparation part and
Classroom interaction part, mainly includes the following steps that：
Step A：Careful preparation part, includes the following steps：
Step A1：The meaning for defining different gestures, specifically includes following steps：
Step A11：Different gestures is designed by Faculty and Students, and defines the number representated by different gestures；Such as it stretches out
A piece finger represents number 1, stretches out two fingers and represents number 2, stretches out three fingers and represents number 3, stretches out four finger generations
Table number 4；It should be noted that this step does not limit this kind of gesture, according to circumstances can arbitrarily define；
Step A12：Specifically mobile phone etc. can be used to take pictures tool collection simultaneously for different gesture pictures defined in collection step A11
Different gesture pictures defined in storing step A11.
Step A2：The gesture identification model based on CNN is trained using different gestures described in step A, is specifically included following
Step：
Step A21：Gesture different in step A12 is classified according to defined number, forms category images collection；
Step A22：According to gestures detection model of the category images collection training described in step A21 based on CNN, specific method is：
Use category images collection described in " dnn_mmod_ex " class read step A21 in the libraries Dlib, gestures detection of the training based on CNN
Model simultaneously preserves, and goes out all gestures that the category images is concentrated for identification；It should be noted that this step is not limited to make
With the libraries Dlib, Tensorflow, Keras, Caffe even depth learning tool can also be realized；
Step A23：According to gesture identification model of the category images collection training described in step A21 based on CNN, specific method is：
Using category images collection described in the read step A21 of the libraries Dlib, gesture identification model of the training based on CNN simultaneously preserves, for identification
The category images concentrates the number representated by gesture；It should be noted that this step is not limited to use the libraries Dlib,
Tensorflow, Keras, Caffe even depth learning tool can also be realized.
Step B：Classroom interaction part, includes the following steps：
Step B1：Teacher proposes problem, and provides several options, and number of options is less than gesture quantity；
Step B2：Teacher utilizes image acquisition device student's gesture；
Step B3：Utilize the student's gesture acquired in the gesture identification Model Identification step B2 based on CNN described in step A2；
Step B4：Using student's gesture after the gesture identification modeling statistics identification based on CNN described in step A2 and generate system
It counts, the statistical data is block diagram, cake chart or bar chart；
Step B5：Statistical data of the teacher according to step B4 is imparted knowledge to students.
Above-mentioned classroom interaction part is further detailed below in conjunction with specific embodiments：
For example, classroom is putd question to：" it may I ask 1+1 and be equal to several, option A：Equal to 0；Option B：Equal to 1；Option C：Equal to 2；Option
D：Equal to 3.", student provides respective option by the gesture of definition；For example, the classmate of A is selected to provide the hand for stretching a finger
Gesture；The classmate of B is selected to provide the gesture for stretching two fingers；The classmate of C is selected to provide the gesture for stretching three fingers；The classmate of D is selected to provide
Stretch the gesture of four fingers；Teacher is taken pictures using image collecting device, acquires student's gesture picture；Utilize the gesture based on CNN
All gestures in detection model capturing pictures, save as picture library；Further, using the gesture identification model based on CNN,
Identify the corresponding number of each gesture in above-mentioned picture library；Finally, the recognition result of the gesture identification model based on CNN is utilized
The ratio for counting each option selected by student, is shown in a manner of visual by display module；For example, using block diagram
Form show the corresponding ratio of A, B, C, D option selected by student；This step is not limited to use block diagram, it is also possible to pie
The modes such as figure or bar chart；Finally, teacher is targetedly answered according to the answer situation of student；For example, selecting the ratio of A
It is more, then analyse whether that classmates obscure addition and subtraction, and provide and targetedly explain.Similar, if B is selected to compare
It is more, then it analyzes whether classmates obscure addition and multiplication, provides corresponding explanation.
As shown in Figure 2：A kind of interactive education system based on image recognition of the present invention, including
Image capture module is arranged in classroom front upper place, the images of gestures for acquiring student；Described image acquisition module can be adopted
With high-definition camera etc., the position of image capture module setting should be subject to the gesture picture that can collect all students；
Picture recognition module for storing the gestures detection model based on CNN and the gesture identification model based on CNN, and uses
The student's of the gestures detection model based on CNN and the gesture identification Model Identification image capture module acquisition based on CNN
Images of gestures；
Display module, the statistical data generated for showing picture recognition module；The display module uses display or projection
Instrument；
Control module is responsible for receiving the control instruction of teacher, and the control instruction of teacher is transferred to image capture module, image
Identification module and display module, and for the result statistical data according to the gesture identification Model Identification based on CNN；The control
Module uses computer or mobile terminal；
Wherein, image capture module, picture recognition module, control module and display module communicate to connect successively, and Image Acquisition
Module is also communicated to connect with control module.
A kind of interactive teaching method and system based on image recognition of the present invention, defines representated by different gestures
Numerology, student can by gesture select teacher propose problem option, and using picture recognition module statistic select
The option selected allows teacher fast and accurately to hold the information of Students ' Feedback, compared with existing on-line education system, learns
Raw and teacher is interactive face-to-face, can improve the attention and enthusiasm of student's study；Meanwhile teacher does not have to receive student one by one
Feedback information, improve efficiency of teaching.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (9)
1. a kind of interactive teaching method based on image recognition, which is characterized in that include the following steps：
Step A：Careful preparation includes the following steps：
Step A1：Define the meaning of different gestures；
Step A2：The gesture identification model based on CNN is trained using different gestures described in step A；
Step B：Classroom interaction includes the following steps：
Step B1：Teacher proposes problem, and provides several options, and number of options is less than gesture quantity；
Step B2：Teacher utilizes image acquisition device student's gesture；
Step B3：Utilize the student's gesture acquired in the gesture identification Model Identification step B2 based on CNN described in step A2；
Step B4：Using student's gesture after the gesture identification modeling statistics identification based on CNN described in step A2 and generate system
It counts；
Step B5：Statistical data of the teacher according to step B4 is imparted knowledge to students.
2. a kind of interactive teaching method based on image recognition according to claim 1, which is characterized in that the step A1
Include the following steps：
Step A11：Different gestures is designed by Faculty and Students, and defines the number representated by different gestures；
Step A12：Different gesture pictures defined in collection step A11.
3. a kind of interactive teaching method based on image recognition according to claim 2, which is characterized in that the step A2
Include the following steps：
Step A21：Gesture different in step A12 is classified according to defined number, forms category images collection；
Step A22：According to gestures detection model of the category images collection training described in step A21 based on CNN；
Step A23：According to gesture identification model of the category images collection training described in step A21 based on CNN.
4. a kind of interactive teaching method based on image recognition according to claim 3, it is characterised in that：In step A22
The method according to gestures detection model of the category images collection training described in step A21 based on CNN is:Use the libraries Dlib
In " dnn_mmod_ex " class read step A21 described in category images collection, training the gestures detection model based on CNN.
5. a kind of interactive teaching method based on image recognition according to claim 3, it is characterised in that：In step A23
The method according to gesture identification model of the category images collection training described in step A21 based on CNN is：It is read using the libraries Dlib
Take category images collection described in step A21, gesture identification model of the training based on CNN.
6. a kind of interactive teaching method based on image recognition according to claim 1, which is characterized in that institute in step B4
The statistical data stated is block diagram, cake chart or bar chart.
7. a kind of interactive education system based on image recognition, it is characterised in that：Including
Image capture module is arranged in classroom front upper place, the images of gestures for acquiring student；
Picture recognition module for storing the gestures detection model based on CNN and the gesture identification model based on CNN, and uses
The student's of the gestures detection model based on CNN and the gesture identification Model Identification image capture module acquisition based on CNN
Images of gestures；
Display module, the statistical data generated for showing picture recognition module；
Control module is responsible for receiving the control instruction of teacher, and the control instruction of teacher is transferred to image capture module, image
Identification module and display module, and for the result statistical data according to the gesture identification Model Identification based on CNN；
Wherein, image capture module, picture recognition module, control module and display module communicate to connect successively, and Image Acquisition
Module is also communicated to connect with control module.
8. a kind of interactive education system based on image recognition according to claim 7, it is characterised in that：The display mould
Block uses display or projecting apparatus.
9. a kind of interactive education system based on image recognition according to claim 7, it is characterised in that：The control mould
Block uses computer or mobile terminal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110349461A (en) * | 2019-06-11 | 2019-10-18 | 北京光年无限科技有限公司 | Education and entertainment combination method and system based on children special-purpose smart machine |
| CN111383496A (en) * | 2018-12-31 | 2020-07-07 | 西安跃亿智产信息科技有限公司 | Online interactive multimedia teaching implementation system and implementation method |
| CN115035515A (en) * | 2022-06-15 | 2022-09-09 | 电子科技大学 | Nang identification method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968933A (en) * | 2010-10-15 | 2011-02-09 | 广州瀚泰电子科技有限公司 | Interactive teaching system |
| CN104036251A (en) * | 2014-06-20 | 2014-09-10 | 上海理工大学 | Method for recognizing gestures on basis of embedded Linux system |
| CN106503626A (en) * | 2016-09-29 | 2017-03-15 | 南京信息工程大学 | Being mated with finger contours based on depth image and refer to gesture identification method |
| CN106503747A (en) * | 2016-10-28 | 2017-03-15 | 西安夫子电子科技研究院有限公司 | A kind of image recognition statistical analysis system |
| CN106980365A (en) * | 2017-02-21 | 2017-07-25 | 华南理工大学 | The first visual angle dynamic gesture identification method based on depth convolutional neural networks framework |
| CN107665423A (en) * | 2017-10-31 | 2018-02-06 | 海南职业技术学院 | The tutoring system and method that a kind of rapid field is called the roll |
| CN107705639A (en) * | 2017-11-03 | 2018-02-16 | 合肥亚慕信息科技有限公司 | A kind of Online class caught based on face recognition puts question to answer system |
| CN107958351A (en) * | 2017-12-26 | 2018-04-24 | 重庆大争科技有限公司 | Teaching quality assessment cloud service platform |
-
2018
- 2018-05-09 CN CN201810437603.6A patent/CN108806375A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968933A (en) * | 2010-10-15 | 2011-02-09 | 广州瀚泰电子科技有限公司 | Interactive teaching system |
| CN104036251A (en) * | 2014-06-20 | 2014-09-10 | 上海理工大学 | Method for recognizing gestures on basis of embedded Linux system |
| CN106503626A (en) * | 2016-09-29 | 2017-03-15 | 南京信息工程大学 | Being mated with finger contours based on depth image and refer to gesture identification method |
| CN106503747A (en) * | 2016-10-28 | 2017-03-15 | 西安夫子电子科技研究院有限公司 | A kind of image recognition statistical analysis system |
| CN106980365A (en) * | 2017-02-21 | 2017-07-25 | 华南理工大学 | The first visual angle dynamic gesture identification method based on depth convolutional neural networks framework |
| CN107665423A (en) * | 2017-10-31 | 2018-02-06 | 海南职业技术学院 | The tutoring system and method that a kind of rapid field is called the roll |
| CN107705639A (en) * | 2017-11-03 | 2018-02-16 | 合肥亚慕信息科技有限公司 | A kind of Online class caught based on face recognition puts question to answer system |
| CN107958351A (en) * | 2017-12-26 | 2018-04-24 | 重庆大争科技有限公司 | Teaching quality assessment cloud service platform |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111383496A (en) * | 2018-12-31 | 2020-07-07 | 西安跃亿智产信息科技有限公司 | Online interactive multimedia teaching implementation system and implementation method |
| CN110349461A (en) * | 2019-06-11 | 2019-10-18 | 北京光年无限科技有限公司 | Education and entertainment combination method and system based on children special-purpose smart machine |
| CN115035515A (en) * | 2022-06-15 | 2022-09-09 | 电子科技大学 | Nang identification method |
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