CN109903203A - One kind being based on the online English education system of recognition of face - Google Patents
One kind being based on the online English education system of recognition of face Download PDFInfo
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Abstract
The invention discloses one kind to be based on the online English education system of recognition of face, including student side, information processing cloud, teacher side, recognition of face camera, identification module, identity library, information storage module, pronunciation contrast module, grading module, store information sending module and mobile intelligent terminal, the student side is by registration and login module, student question module, display terminal, first voice module and feedback module form, the teacher side is by real-time recording module, second voice module, course content module, teacher asking questions module, classroom grading module, test modules and feedback information processing module form；The present invention passes through grading module, to score the English equivalents of student, allow student that can recognize the order of accuarcy of oneself pronunciation, pass through feedback information processing module simultaneously, the knowledge point that teacher can be allowed to recognize that the process middle school student that oneself give lessons are not well mastered, prepares lessons to teacher and provide convenience next time.
Description
Technical field
The invention belongs to educational system fields, are related to a kind of technology of recognition of face, specifically a kind of to be based on recognition of face
Online English education system.
Background technique
English is the second language being most widely used in the world, is European Union and many international organizations and British commonwealth of nations
One of official language and one of the working language of the United Nations.Mother tongue user's number of bits of English ranks the third of the world, and is less than the Chinese
Language and Spanish, but upper two century Britains and the U.S. make in culture, economic, military, politics and scientific leading position
Obtaining English becomes a kind of International Language, and nowadays many international occasions all use English as the matchmaker linked up, and English education can allow
Learner have sturdy English language rudimentary knowledge and language basic skills, more skilled English language operational capability, online
English teaching system is a kind of now common English teaching mode.
Existing English education system, the effect of teaching is not good enough, and faculty cannot get information about the English of student
Text pronunciation whether standard, faculty can not get information about the knowledge point student to impart knowledge to students in teaching process in teaching process
Whether grasp, so that the teaching efficiency of existing English education system is poor；In order to solve drawbacks described above, a kind of solution is now provided
Scheme.
Summary of the invention
The purpose of the present invention is to provide one kind to be based on the online English education system of recognition of face.
The technical issues of all solutions of the present invention are as follows:
(1) how student recognize oneself pronunciation whether standard, allow teacher recognize student to teaching English grasp
Degree, and preferably score to student after all End-of-Courses；
(2) knowledge point for how allowing teacher's energy more intuitive understanding not grasped to student, and it is standby according to the progress of its situation
Class；
The purpose of the present invention can be achieved through the following technical solutions:
One kind being based on the online English education system of recognition of face, including student side, information processing cloud, teacher side, face
Identify camera, identification module, identity library, information storage module, pronunciation contrast module, grading module, storage information hair
Send module and mobile intelligent terminal；
The student side is by registration and login module, student question module, display terminal, the first voice module and feedback mould
Block composition；
The teacher side is by real-time recording module, the second voice module, course content module, teacher asking questions module, classroom
Grading module, test modules and feedback information processing module form；
The recognition of face camera and identification module communicate to connect, and the identification module is communicated with identity library
Connection, the identity library and identification module communicate to connect, and the student side and identification module communicate to connect,
It causes trouble and is communicated to connect with information processing cloud, the teacher side and message processing module communicate to connect, the information storage module
Communicated to connect with information processing cloud, the pronunciation contrast module and information storage module communicate to connect, institute's scoring module and
Contrast module of pronouncing communication connection, institute's scoring module and mobile intelligent terminal communicate to connect, the storage information sending module
It is communicated to connect with information storage module；
The information processing cloud issues information for handling teacher side and student side, and the information storage module is for storing up
The information content of information processing cloud processing is deposited, the pronunciation contrast module is used to compare the pronunciation of Faculty and Students, institute's commentary
Sub-module is used to score to the English equivalents of student, and as follows in specific scoring process:
Step 1: the content that information processing cloud is handled well is respectively labeled as by information storage module according to the difference in source
A and B, wherein A indicates student side, and B indicates that teacher side, student side have several, i.e., A is labeled as Ai, i=1 ... n；
Step 2: B can be marked as b by the English voice that the second voice module issues, and Ai passes through the first voice module
The voice that issue and B issues the same content of English voice can be marked as ai；
Step 3: pronunciation contrast module can convert track figure for ai and b and compare；
Step 4: when the track similarity of ai and b is 90% or more, i.e., the scoring of corresponding Ai is outstanding；
Step 5: when the track similarity of ai and b is between 70% to 89%, i.e., the scoring of corresponding Ai is good；
Step 6: when the track similarity of ai and b is between 60% to 69%, i.e., the scoring of corresponding Ai is qualified；
Step 7: when the track similarity of ai and b is below 60%, i.e., the scoring of corresponding Ai is unqualified；
Step 8: grading module can send real-time score information to the intelligent mobile terminal and teacher side of student；
Step 9: outstanding corresponding scoring is 90 points, good corresponding scoring is 80 points, and qualified corresponding scoring is 60
Point, it is unqualified to correspond to scoring as 0 point；
The classroom grading module carries out classroom scoring to student after class hour for teacher, and the test modules are used
In taking an exam and scoring to student after all class hours, the general comment sub-module is used to carry out overall score to student,
Specific methods of marking is as follows:
Step 1: dividing Ai to be added to obtain always pronunciation the pronunciation of student's each class hour and divide K, then be by total class hour number label,
Pass through the pronunciation average mark C of the available student of formula C=N/G；
Step 2: the scoring by teacher by teacher's grading module to student is labeled as W；
Step 3: the achievement that student is taken an examination out by test modules is labeled as E；
Step 4: can calculate the overall scores of student in conjunction with C, W and E, because C, W and E are to the influence degree of overall scores
It is different, in order to highlight the influence of C, W and E to overall scores, correction value is now added and is modified；The correction value of C is assigned to T1, is incited somebody to action
The correction value of W is assigned to T2, the correction value of E is assigned to T3, and T1 < T2 < T3, T1+T2+T3=1；
Step 5: by formula Q=CT1+WT2+ET3, the overall scores Q of available student；
For the student question module for student to teacher asking questions, the recognition of face camera is used to acquire the people of student
Face characteristic is simultaneously transferred in identification module and compares judgement with the information in identity library by face feature, specific to determine
Process is as follows:
Step 1: student first using the system when will use registration and registered with login module, when registration, can people
Face identification camera can will shoot the photo of the positive face and both sides side face of student, while student also needs in registration and login module
Upper setting login password and supplement personal information, collected human face photo can be transferred in identity library with personal information and carry out
Storage；
Step 2: when student logs in the system for the second time, recognition of face camera can shoot student's human face photo, identity
The photo that prestored in the photo of captured in real-time and identity library can be compared for identification module；
Step 3: when comparing photo similarity 80% or more, verifying can directly be passed through；
Step 4: when comparing photo similarity between 70% to 80% percent, it is secondary to need to carry out secondary verifying
The photo similarity of verifying can pass through verifying at 70% or more；
Step 5: when comparing photo similarity between 60% to 70, student is needed to input preset password again, when default
Password Input is correct, can pass through verifying；
Step 6: when comparison photo similarity 60% once, be not verified；
The student question module for learning to teacher asking questions, the teacher asking questions module for teacher to student question,
All knowledge points that the course content module is used to that teacher to be allowed to show the class, the information feedback module is for making student anti-
The content that do not understand in feedback course, the feedback information processing module is used to handle the information of Students ' Feedback, specific processed
Journey is as follows:
Step 1: the knowledge point of same day course is input in course content module, and classifies to knowledge point by teacher,
The knowledge point classified is marked simultaneously；
Step 2；Knowledge point is marked as Mx, x=1 ... n in sequence；
Step 3: student can view knowledge point contents by display terminal, and oneself can be failed to understand knows
Know point and passes through feedback module feedback to teacher side；
Step 4: the feedback information processing module in teacher side can be recorded and be located to the information that student side is fed back to
Reason, while Pi, i=1 ... n are identified as to the number of the mutually each knowledge point fed back to；
Step 5；Pass through the Times of Feedback K of the available single knowledge point of the formula of Mx*Pi=K；
Step 6: K is arranged according to sequence from big to small, optional when the quantity of knowledge point is greater than preset value
Knowledge point of the K value maximum the first two knowledge point as lower class is selected, K value may be selected most when the quantity of knowledge point is less than preset value
Knowledge point of the big knowledge point as lower class；
The real-time recording module can get off the content record of teachers, the storage information sending module be used for
Mobile terminal sends teaching video, and specific processing method is as follows；
Step 1: picture recording module records the content of teachers in teachers in real time, and will record
The information content be transferred in information processing cloud and handled；
Step 2: the video content handled well is marked upper time tag to be sent to information storage module by information processing cloud
In carry out backup storage；
Step 3: after video content is stored, storage information sending module can send video content to mobile intelligence
In energy terminal；
Step 4: student can review instructional video by mobile intelligent terminal after class；
Institute's scoring module can simultaneously send score information on teaching end and mobile intelligent terminal.
Further, the content of courses of the teacher side real-time display can come out on the display terminal of student side, described
First voice module is used for the sound that typing student issues, and second voice module is used for the sound that typing teacher issues.
Further, the registration and the login module personal information of typing in registration include name, age, student number
With cell-phone number.
Further, the quantity of the student side is several, and the installation site of student side is not limited in classroom.
Further, the mobile intelligent terminal can be smart phone but be not limited only to this.
Beneficial effects of the present invention:
(1): the present invention is compared the English equivalents track of Faculty and Students by grading module, foundation track
Scoring is sent to teaching end and student side to score it by similarity simultaneously in real time, makes more intuitive
Recognize the Grasping level to the English equivalents in the content of courses of oneself, and can allow more rationally later in End-of-Course
It scores student, while the content that scores also is sent to the setting at teaching end in real time, teacher can be allowed also to get information about
Student allows Faculty and Students that can get information about the shape for learning degree of progress the Grasping level of the content of courses to realize
Condition allows student that can timely adjust learning direction, allows teacher that can adjust teaching programme in time afterwards, has from the tolerant system
Better teaching efficiency；
(2): the present invention can be located student by what feedback module was fed back to by the feedback information processing of setting
Reason, and by the Times of Feedback K of the available single knowledge point of formula of Mx*Pi=K, by K according to sequence from big to small into
Knowledge of the K value maximum the first two knowledge point as lower class may be selected when the quantity of knowledge point is greater than preset value in row arrangement
Knowledge point of the maximum knowledge point of K value as lower class, teacher may be selected when the quantity of knowledge point is less than preset value for point
Can be by the content of the no grasp knowledge point of the student of feedback to prepare lessons, and explained again in next course,
To further improve the teaching efficiency of the system.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of be based on the online English education system of recognition of face, including student side, information processing cloud, religion
Shi Duan, recognition of face camera, identification module, identity library, information storage module, pronunciation contrast module, grading module, storage
Deposit information sending module and mobile intelligent terminal；
The student side is by registration and login module, student question module, display terminal, the first voice module and feedback mould
Block composition；
The teacher side is by real-time recording module, the second voice module, course content module, teacher asking questions module, classroom
Grading module, test modules and feedback information processing module form；
The recognition of face camera and identification module communicate to connect, and the identification module is communicated with identity library
Connection, the identity library and identification module communicate to connect, and the student side and identification module communicate to connect,
It causes trouble and is communicated to connect with information processing cloud, the teacher side and message processing module communicate to connect, the information storage module
Communicated to connect with information processing cloud, the pronunciation contrast module and information storage module communicate to connect, institute's scoring module and
Contrast module of pronouncing communication connection, institute's scoring module and mobile intelligent terminal communicate to connect, the storage information sending module
It is communicated to connect with information storage module；
The information processing cloud issues information for handling teacher side and student side, and information processing and that section can be by teachers
The information of end and student side is integrated, and the information storage module is used to store the information content of information processing cloud processing,
The pronunciation contrast module is used to compare the pronunciations of Faculty and Students, always can determine student's pronunciation whether standard, institute's commentary
Sub-module is used to score to the English equivalents of student, and as follows in specific scoring process:
Step 1: the content that information processing cloud is handled well is respectively labeled as by information storage module according to the difference in source
A and B, wherein A indicates student side, and B indicates that teacher side, student side have several, i.e., A is labeled as Ai, i=1 ... n；
Step 2: B can be marked as b by the English voice that the second voice module issues, and Ai passes through the first voice module
The voice that issue and B issues the same content of English voice can be marked as ai；
Step 3: pronunciation contrast module can convert track figure for ai and b and compare；
Step 4: when the track similarity of ai and b is 90% or more, i.e., the scoring of corresponding Ai is outstanding；
Step 5: when the track similarity of ai and b is between 70% to 89%, i.e., the scoring of corresponding Ai is good；
Step 6: when the track similarity of ai and b is between 60% to 69%, i.e., the scoring of corresponding Ai is qualified；
Step 7: when the track similarity of ai and b is below 60%, i.e., the scoring of corresponding Ai is unqualified；
Step 8: grading module can send real-time score information to the intelligent mobile terminal and teacher side of student；
Step 9: outstanding corresponding scoring is 90 points, good corresponding scoring is 80 points, and qualified corresponding scoring is 60
Point, it is unqualified to correspond to scoring as 0 point；
The classroom grading module carries out classroom scoring to student after class hour for teacher, i.e. teacher carries out classroom
Marking, for taking an exam and scoring to student after all class hours, the general comment sub-module is used for the test modules
Overall score is carried out to student, specific methods of marking is as follows:
Step 1: dividing Ai to be added to obtain always pronunciation the pronunciation of student's each class hour and divide K, then be by total class hour number label,
Pass through the pronunciation average mark C of the available student of formula C=N/G；
Step 2: the scoring by teacher by teacher's grading module to student is labeled as W；
Step 3: the achievement that student is taken an examination out by test modules is labeled as E；
Step 4: can calculate the overall scores of student in conjunction with C, W and E, because C, W and E are to the influence degree of overall scores
It is different, in order to highlight the influence of C, W and E to overall scores, correction value is now added and is modified；The correction value of C is assigned to T1, is incited somebody to action
The correction value of W is assigned to T2, the correction value of E is assigned to T3, and T1 < T2 < T3, T1+T2+T3=1；
Step 5: by formula Q=CT1+WT2+ET3, the overall scores Q of available student；
The student question module, to teacher asking questions, facilitates student in study to oneself unapprehended problem for student
It is linked up with teacher, the recognition of face camera is used to acquire the face characteristic of student and face characteristic is transferred to identity
Judgement is compared with the information in identity library in identification module, specific decision process is as follows:
Step 1: student first using the system when will use registration and registered with login module, when registration, can people
Face identification camera can will shoot the photo of the positive face and both sides side face of student, while student also needs in registration and login module
Upper setting login password and supplement personal information, collected human face photo can be transferred in identity library with personal information and carry out
Storage；
Step 2: when student logs in the system for the second time, recognition of face camera can shoot student's human face photo, identity
The photo that prestored in the photo of captured in real-time and identity library can be compared for identification module；
Step 3: when comparing photo similarity 80% or more, it can oneself after being verified directly by verifying
Direct login system；
Step 4: when comparing photo similarity between 70% to 80% percent, it is secondary to need to carry out secondary verifying
The photo similarity of verifying can pass through verifying at 70% or more；
Step 5: when comparing photo similarity between 60% to 70, student is needed to input preset password again, when default
Password Input is correct, can pass through verifying；
Step 6: when comparison photo similarity 60% once, be not verified, verifying is by not logging in this and being
System；
The student question module for learning to teacher asking questions, the teacher asking questions module for teacher to student question,
All knowledge points that the course content module is used to that teacher to be allowed to show the class, the information feedback module is for making student anti-
The content that do not understand in feedback course, the feedback information processing module is used to handle the information of Students ' Feedback, specific processed
Journey is as follows:
Step 1: the knowledge point of same day course is input in course content module, and classifies to knowledge point by teacher,
The knowledge point classified is marked simultaneously；
Step 2；Knowledge point is marked as Mx, x=1 ... n in sequence；
Step 3: student can view knowledge point contents by display terminal, and oneself can be failed to understand knows
Know point and passes through feedback module feedback to teacher side；
Step 4: the feedback information processing module in teacher side can be recorded and be located to the information that student side is fed back to
Reason, while Pi, i=1 ... n are identified as to the number of the mutually each knowledge point fed back to；
Step 5；Pass through the Times of Feedback K of the available single knowledge point of the formula of Mx*Pi=K；
Step 6: K is arranged according to sequence from big to small, optional when the quantity of knowledge point is greater than preset value
Knowledge point of the K value maximum the first two knowledge point as lower class is selected, K value may be selected most when the quantity of knowledge point is less than preset value
Knowledge point of the big knowledge point as lower class；
The real-time recording module can get off the content record of teachers, the storage information sending module be used for
Mobile terminal sends teaching video, and specific processing method is as follows；
Step 1: picture recording module records the content of teachers in teachers in real time, and will record
The information content be transferred in information processing cloud and handled；
Step 2: the video content handled well is marked upper time tag to be sent to information storage module by information processing cloud
In carry out backup storage；
Step 3: after video content is stored, storage information sending module can send video content to mobile intelligence
In energy terminal；
Step 4: student can review instructional video by mobile intelligent terminal after class；
Institute's scoring module can simultaneously send score information on teaching end and mobile intelligent terminal.
The content of courses of the teacher side real-time display can come out on the display terminal of student side, the first voice mould
Block is used for the sound that typing student issues, and second voice module is used for the sound that typing teacher issues；It is described to register and step on
Recording module personal information of typing in registration includes name, age, student number and cell-phone number；If the quantity of the student side is
Dry, and the installation site of student side is not limited in classroom；The mobile intelligent terminal can be smart phone but be not limited only to this.
One kind being based on the online English education system of recognition of face, at work, student need registration using student side with
Login module log in the system, the facial information of recognition of face camera shooting student simultaneously transfers information to authentication
In module, authentication module the information stored in the face information taken and identity library can be compared, and comparison passes through
Student can enter the system afterwards, and teacher carries out course explanation in teacher side, and teacher is by the knowledge to be explained of same day course
Point is input in course content display module, and the displaying content being input in journey content display module can be in the display in student side
It is shown in terminal, allow student to be capable of the content of courses of the preview class hour, teacher starts to say after class, and real-time recording module is meeting
Running records the lecture content of teacher in real time, and student can view the lecture content of teacher by display terminal, and
Teacher can be putd question to by student question module at the place of being ignorant of, while teacher can also lead to during course progress
Teacher asking questions module is crossed to put question to student, the second voice module will record the English equivalents of lower teacher in teaching process
Content, while the first voice module will record the pronunciation content of Students ', pronunciation contrast module can be to the first voice module and the
The content that two voice modules are recorded is compared, and sends the result of comparison in grading module and score, scoring
Information can be put into real time on the mobile intelligent terminal of teacher side and student, after End-of-Course, the content of real-time recording module recording
Also it can be sent on the mobile intelligent terminal of student；
Beneficial effects of the present invention are as follows:
(1): the present invention is compared the English equivalents track of Faculty and Students by grading module, foundation track
Scoring is sent to teaching end and student side to score it by similarity simultaneously in real time, makes more intuitive
Recognize the Grasping level to the English equivalents in the content of courses of oneself, and can allow more rationally later in End-of-Course
It scores student, while the content that scores also is sent to the setting at teaching end in real time, teacher can be allowed also to get information about
Student allows Faculty and Students that can get information about the shape for learning degree of progress the Grasping level of the content of courses to realize
Condition allows student that can timely adjust learning direction, allows teacher that can adjust teaching programme in time afterwards, has from the tolerant system
Better teaching efficiency；
(2): the present invention can be located student by what feedback module was fed back to by the feedback information processing of setting
Reason, and by the Times of Feedback K of the available single knowledge point of formula of Mx*Pi=K, by K according to sequence from big to small into
Knowledge of the K value maximum the first two knowledge point as lower class may be selected when the quantity of knowledge point is greater than preset value in row arrangement
Knowledge point of the maximum knowledge point of K value as lower class, teacher may be selected when the quantity of knowledge point is less than preset value for point
Can be by the content of the no grasp knowledge point of the student of feedback to prepare lessons, and explained again in next course,
To further improve the teaching efficiency of the system.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (5)
1. one kind is based on the online English education system of recognition of face, which is characterized in that including student side, information processing cloud, religion
Shi Duan, recognition of face camera, identification module, identity library, information storage module, pronunciation contrast module, grading module, storage
Deposit information sending module and mobile intelligent terminal；
The student side is by registration and login module, student question module, display terminal, the first voice module and feedback module group
At；
The teacher side is scored by real-time recording module, the second voice module, course content module, teacher asking questions module, classroom
Module, test modules and feedback information processing module form；
The recognition of face camera and identification module communicate to connect, the identification module and identity library communication link
It connects, the identity library and identification module communicate to connect, and the student side and identification module communicate to connect, the student
End is communicated to connect with information processing cloud, and the teacher side and message processing module communicate to connect, the information storage module with
The communication connection of information processing cloud, the pronunciation contrast module and information storage module communicate to connect, institute's scoring module and hair
The communication connection of sound contrast module, institute's scoring module and mobile intelligent terminal communicate to connect, the storage information sending module and
The communication connection of information storage module；
The information processing cloud issues information for handling teacher side and student side, and the information storage module is for storing letter
The information content of breath processing cloud processing, the pronunciation contrast module are used to compare the pronunciation of Faculty and Students, the scoring mould
Block is used to score to the English equivalents of student, and as follows in specific scoring process:
Step 1: information storage module by content that information processing cloud is handled well according to the difference in source be respectively labeled as A with
B, wherein A indicates student side, and B indicates that teacher side, student side have several, i.e., A is labeled as Ai, i=1 ... n；
Step 2: B can be marked as b by the English voice that the second voice module issues, and Ai is issued by the first voice module
And B issue the voice of the English same content of voice and can be marked as ai；
Step 3: pronunciation contrast module can convert track figure for ai and b and compare；
Step 4: when the track similarity of ai and b is 90% or more, i.e., the scoring of corresponding Ai is outstanding；
Step 5: when the track similarity of ai and b is between 70% to 89%, i.e., the scoring of corresponding Ai is good；
Step 6: when the track similarity of ai and b is between 60% to 69%, i.e., the scoring of corresponding Ai is qualified；
Step 7: when the track similarity of ai and b is below 60%, i.e., the scoring of corresponding Ai is unqualified；
Step 8: grading module can send real-time score information to the intelligent mobile terminal and teacher side of student；
Step 9: outstanding corresponding scoring is 90 points, good corresponding scoring is 80 points, and qualified corresponding scoring is 60 points, no
It is 0 point that qualification, which corresponds to scoring,；
The classroom grading module carries out classroom scoring to student after class hour for teacher, and the test modules are used for
It takes an exam and scores to student after all class hours, the general comment sub-module is used to carry out overall score to student, specific
Methods of marking is as follows:
Step 1: divide Ai to be added to obtain always pronunciation the pronunciation of student's each class hour and divide K, then it is to pass through that total class hour number, which is marked,
The pronunciation average mark C of the available student of formula C=N/G；
Step 2: the scoring by teacher by teacher's grading module to student is labeled as W；
Step 3: the achievement that student is taken an examination out by test modules is labeled as E；
Step 4: can calculate the overall scores of student in conjunction with C, W and E, because of C, W and E different to the influence degree of overall scores,
In order to highlight the influence of C, W and E to overall scores, correction value is now added and is modified；The correction value of C is assigned to T1, repairing W
Positive value is assigned to T2, the correction value of E is assigned to T3, and T1 < T2 < T3, T1+T2+T3=1；
Step 5: by formula Q=CT1+WT2+ET3, the overall scores Q of available student；
For the student question module for student to teacher asking questions, the face that the recognition of face camera is used to acquire student is special
It levies and face characteristic is transferred in identification module and compare judgement, specific decision process with the information in identity library
It is as follows:
Step 1: student first using the system when will use registration and registered with login module, when registration can face know
Other camera can will shoot the photo of the positive face and both sides side face of student, while student also needs registering and setting in login module
Login password and supplement personal information are set, collected human face photo can be transferred in identity library with personal information and be stored up
It deposits；
Step 2: when student logs in the system for the second time, recognition of face camera can shoot student's human face photo, identification
The photo that prestored in the photo of captured in real-time and identity library can be compared for module；
Step 3: when comparing photo similarity 80% or more, verifying can directly be passed through；
Step 4: when comparing photo similarity between 70% to 80% percent, need to carry out the secondary secondary verifying of verifying
Photo similarity at 70% or more, verifying can be passed through；
Step 5: it when comparing photo similarity between 60% to 70, needs student to input preset password again, works as preset password
Input is correct, can pass through verifying；
Step 6: when comparison photo similarity 60% once, be not verified；
The student question module for learning to teacher asking questions, the teacher asking questions module for teacher to student question, it is described
Course content module is used to allowing teacher to show all knowledge points of the class, and the information feedback module is for allowing Students ' Feedback class
The content that Cheng Zhongwei is understood, the feedback information processing module are used to handle the information of Students ' Feedback, and concrete processing procedure is such as
Under:
Step 1: the knowledge point of same day course is input in course content module, and classifies to knowledge point by teacher, simultaneously
The knowledge point classified is marked；
Step 2；Knowledge point is marked as Mx, x=1 ... n in sequence；
Step 3: student can view knowledge point contents by display terminal, and oneself can be failed to the knowledge point understood
Pass through feedback module feedback to teacher side；
Step 4: the feedback information processing module in teacher side can be recorded and be handled to the information that student side is fed back to, together
When Pi, i=1 ... n are identified as to the number of the mutually each knowledge point fed back to；
Step 5；Pass through the Times of Feedback K of the available single knowledge point of the formula of Mx*Pi=K；
Step 6: K is arranged according to sequence from big to small, and when the quantity of knowledge point is greater than preset value, K value may be selected
It is maximum that K value may be selected when the quantity of knowledge point is less than preset value for knowledge point of the maximum the first two knowledge point as lower class
Knowledge point of one knowledge point as lower class；
The real-time recording module can get off the content record of teachers, and the storage information sending module is used for movement
End sends teaching video, and specific processing method is as follows；
Step 1: picture recording module records the content of teachers in teachers in real time, and the letter that will be recorded
Breath content transmission is handled into information processing cloud；
Step 2: information processing cloud by the video content handled well mark upper time tag be sent in information storage module into
Row backup storage；
Step 3: after video content is stored, storage information sending module can send video content to intelligent movable end
On end；
Step 4: student can review instructional video by mobile intelligent terminal after class；
Institute's scoring module can simultaneously send score information on teaching end and mobile intelligent terminal.
2. according to claim 1 a kind of based on the online English education system of recognition of face, which is characterized in that the teacher
The content of courses at end real-time display can come out on the display terminal of student side, and first voice module is sent out for typing student
Sound out, second voice module are used for the sound that typing teacher issues.
3. according to claim 1 a kind of based on the online English education system of recognition of face, which is characterized in that the registration
In registration, the personal information of typing includes name, age, student number and cell-phone number with login module.
4. according to claim 1 a kind of based on the online English education system of recognition of face, which is characterized in that the student
The quantity at end is several, and the installation site of student side is not limited in classroom.
5. according to claim 1 a kind of based on the online English education system of recognition of face, which is characterized in that the movement
Intelligent terminal can be smart phone but be not limited only to this.
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| CN110444064A (en) * | 2019-08-09 | 2019-11-12 | 杭州学两手网络科技有限公司 | A kind of tutoring system with intelligent offscreen voice based on big data |
| CN111160211A (en) * | 2019-12-24 | 2020-05-15 | 广东电网有限责任公司 | Education training system based on face recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110444064A (en) * | 2019-08-09 | 2019-11-12 | 杭州学两手网络科技有限公司 | A kind of tutoring system with intelligent offscreen voice based on big data |
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| CN113053395B (en) * | 2021-03-05 | 2023-11-17 | 深圳市声希科技有限公司 | Pronunciation error correction learning method and device, storage medium and electronic equipment |
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| CN113470455A (en) * | 2021-07-15 | 2021-10-01 | 温州职业技术学院 | Teaching control management system |
| CN114999245A (en) * | 2022-05-23 | 2022-09-02 | 武汉学职教育咨询有限公司 | Online teaching system and method |
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Application publication date: 20190618 |