CN110135697A - Emotion training method, device, computer equipment and storage medium - Google Patents
Emotion training method, device, computer equipment and storage medium Download PDFInfo
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- 230000008451 emotion Effects 0.000 title claims abstract description 36
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
Provided herein a kind of emotion training method, device, computer equipment and storage medium, include the next steps: receiving the first training role of the first training course and student's selection that student selects from presetting database；Using the first corresponding training content of training role as standard, the corresponding fractional value of each trained factor in student's training process is calculated；The fractional value for each trained factor that will acquire is added, and is obtained student and is obtained total score in the first training course；Obtain the corresponding total score of all first training courses that within a specified time selects of student, generate Student Training at long message.By obtaining training of the student in training course, and then get the fractional value that corresponding Student Training obtains, conveniently to the action norms inspection such as the expression degree of Student Training and body language, it is instructed without teacher's field surveillance, without arrangement scene, arrangement time and manpower are saved, while also can be convenient student and checking itself deficiency.
Description
Technical field
This application involves field of computer technology, in particular to a kind of emotion training method, device, computer equipment and deposit
Storage media.
Background technique
Currently, after needing to carry out the training such as expression, body language, just may be used to the staff such as business personnel etc. in each post
Be on duty with the post for entering specified, still, training process, which generally requires teacher, explains in words and experiences, on-site comment, guidance movement and
Expression, and training needs certain scene and personnel on site to participate in, and training is caused to be in the mode of more traditional and single backwardness.
Summary of the invention
The main purpose of the application is to provide a kind of emotion training method, device, computer equipment and storage medium, it is intended to
It solves the problems, such as convenient for user feeling training, promote self.
To achieve the above object, this application provides a kind of emotion training methods, comprising the following steps:
Receive the first training of the first training course and student selection that student selects from presetting database
Role, wherein first training course includes at least one training role and each corresponding training of training role
Hold, the training content includes the training factor, and the trained factor includes facial expression, language voice and/or limb action；
Using the corresponding training content of the first training role as standard, calculate each described during the Student Training
The corresponding fractional value of the training factor；
The fractional value for each trained factor that will acquire is added, and obtains the student in first training course
In obtain total score；
The corresponding total score of all first training courses for obtaining that the student within a specified time selects, it is raw
At the Student Training at long message, wherein the growth information includes being trained to long curve and growth rate value.
Further, described to receive the first training course and the student that student selects from presetting database
Before the step of first training role of selection, comprising:
It receives third end and defaults in the training course in the presetting database；
Training role described in each of described training course is extracted, and generates each corresponding trained role's
Information is selected, the training role in the training course is selected for student.
Further, described using the corresponding training content of the first training role as standard, calculate the Student Training
The step of each trained factor corresponding fractional value in the process, comprising:
Obtain all nodes of each trained factor of the student in the training process；
Matching correspondence is carried out to the node of each trained factor according to preset examination node, and get matching at
The fractional value of the node of each trained factor of function；
The fractional value of the corresponding each examination node of each trained factor is added, each trained factor is obtained
Corresponding fractional value.
Further, the corresponding fractional value of each trained factor that will acquire is added, and obtains the student
After the step of obtaining total score in first training course, further includes:
The student is received from the default training guidance teacher for instructing to select in library, and to described in the student and selection
Training guidance teacher establishes incidence relation, wherein the training guidance teacher can by logging in teacher's account number or teacher's terminal, according to
Check the training process of the student, according to the incidence relation to make indication evaluation to the student；
After the training guidance teacher is received to the indication evaluation of the student, the message for giving directions evaluation is sent
To the account number or terminal of the student.
Further, all first training courses that the acquisition student within a specified time selects are right respectively
The total score answered, obtain the Student Training at long message the step of, comprising:
Creation is using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis, according to all first training got
It the total score of each first training course and the total score corresponding time in course, is carried out on the coordinate system pair
The coordinate described point answered；
It is carried out curve fitting according to the coordinate described point, obtains the growth curve of first training course；
The slope that each curve point is calculated according to the growth curve of first training course gets student's instruction
It is experienced at long message.
Further, all first training courses that the acquisition student within a specified time selects are corresponding
Total score, obtain the Student Training at after the step of long message, comprising:
The end of the training guidance teacher that student's selection is sent at long message for the Student Training that will acquire
End receives the training guidance teacher according to the drill program of the growth information planning；
By the drill program received and the terminal for being sent to the student at long message.
Further, the fractional value of each trained factor that will acquire is added, and obtains the student in institute
Before stating the step of obtaining total score in the first training course, further includes:
Obtain the corresponding weighted value of each trained factor in first training course；
The corresponding fractional value of each trained factor weighted value corresponding with the trained factor is multiplied, is obtained
The fractional value of the student each trained factor in first training course.
The application also proposed a kind of emotion training device, comprising:
First receiving module, for receiving the first training course that student selects from presetting database and described
First training role of student's selection, wherein first training course includes at least one training role and each instruction
Practice the corresponding training content of role, the training content includes the training factor, and the trained factor includes facial expression, phonetic sound
Sound and/or limb action；
Computing module, for calculating the Student Training using the corresponding training content of the first training role as standard
The corresponding fractional value of each trained factor in the process；
First obtains module, and the fractional value of each trained factor for will acquire is added, and obtains the student
Total score is obtained in first training course；
Second obtains module, right respectively for obtaining all first training courses that the student within a specified time selects
The total score answered, obtain the Student Training at long message, wherein the growth information include be trained to long curve and growth
Velocity amplitude.
The application also provides a kind of computer equipment, including memory and processor, is stored with calculating in the memory
The step of machine program, the processor realizes any of the above-described the method when executing the computer program.
The application also provides a kind of computer storage medium, is stored thereon with computer program, the computer program quilt
The step of processor realizes method described in any of the above embodiments when executing.
Emotion training method, device, computer equipment and storage medium provided herein has below beneficial to effect
Fruit:
By obtaining training of the student in training course, and then the fractional value that corresponding Student Training obtains is got, side
Just it to the action norms inspection such as the expression degree of Student Training and body language, is instructed without teacher's field surveillance, without
It arranges scene, saves arrangement time and manpower, while also can be convenient student and checking itself deficiency.
Detailed description of the invention
Fig. 1 is emotion training method step schematic diagram in one embodiment of the application；
Fig. 2 is emotion training device structural block diagram in one embodiment of the application；
Fig. 3 is the structural schematic block diagram of the computer equipment of one embodiment of the application.
The embodiments will be further described with reference to the accompanying drawings for realization, functional characteristics and the advantage of the application purpose.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
It referring to Fig.1, is to provide a kind of emotion training method in one embodiment of the application, comprising the following steps:
Step S1 receives the first training course that student selects from presetting database and student selection
First training role, wherein first training course includes that at least one training role and each training role are corresponding
Training content, the training content include training the factor, the trained factor includes facial expression, language voice and/or limb
Body movement；
Step S2, using the corresponding training content of the first training role as standard, during calculating the Student Training
The corresponding fractional value of each trained factor；
The fractional value of step S3, each trained factor that will acquire are added, and obtain the student described first
Total score is obtained in training course；
It is corresponding total to obtain all first training courses that the student within a specified time selects by step S4
Score value, generate the Student Training at long message, wherein the growth information include be trained to long curve and growth rate
Value.
In above step, system receives the intelligent scene preset and the character under the intelligent scene, people
The voice of the corresponding facial expressions and acts of object angle color and character is semantic, wherein prestores all persons role's in the system of being stored in
Facial expressions and acts be in the prior art model training come out, for judging the normalization of each trained factor, therefore herein not
It repeats, is divided the expression of each personage and movement again by training pattern, and then it is corresponding to obtain each trained factor
Fractional value.
In one embodiment, after the terminal logging request for receiving student, it can be logged in by recognition of face, work as student
After login, Student Training's course can be searched into the corresponding presetting database of system, can also pass through the corresponding training of student
Counselor is tailored to the scrnario operation of student according to student's course, when student selects the first training session from presetting database
First training role of journey and student's selection, system show corresponding training content according to the selection of student, for student into
The corresponding training of row, and according to each trained factor of student in the training process is received, train role corresponding with first
Training content is standard, calculates the corresponding fractional value of each trained factor in student's training process, can pass through scene record in real time
Picture and the score value for calculating each trained factor in student's training process can also be shot using student oneself, and the later period uploads
It to system, is audited after being read out for system, to obtain the corresponding fractional value of each trained factor, e.g., movement can be by existing
AI limbs detect tracer technique, facial expression analyzed by the micro- expression technology of face, sound by voice recognition technology association schemes
Obtain score value etc..It such as carries out that corresponding classification results are calculated by existing model, by the knot for getting Student Training
Fruit is put into corresponding model, gets the classification results where student, and then available point to the corresponding trained factor
Numerical value.Facial expression, sound, movement are that the audio-visual-materials AI matching provided according to material obtains score, when such as training, about micro-
The expression laughed at, if the radian smiled is inadequate, then system can carry out corresponding button according to corresponding section where the smile radian
Point, the material that all scoring marks are provided using system according to the expression matching similarity got and then is provided as standard
Scoring, has been more than or has not reached, can obtain corresponding fractional value.According to preset basic score value, then pass through matching value
Or value range obtains the corresponding score value of each trained factor, and the score value of all training factors is added, and then can be with
Total score of the student in the first training course of selection is got, the facial expression to student in course training is realized
(such as smile expression), body language are made and being automaticly inspected, and the training guidance teacher of student can also be according to the student got
Training result arranges corresponding drill program or scene training, makes so as to the training to student and targetedly planning.
After specified a period of time, such as one week or one month or two months, all training sessions to the student
Cheng Jinhang statistics and analysis, obtain the student each time train at long value comprising have growth curve and growth rate
Value, analyze student in the training of this time, the score curve value of each Student Training's factor, with this obtain it is each training because
The growth curve and growth rate of son, and according to total score, get the corresponding total growth curve of student and growth speed
Degree, shows corresponding student to check the result of analysis, so that student has a clear understanding of the development history of training.
In the present embodiment, first training course that student selects from presetting database and described of receiving
Before the step S1 of first training role of student's selection, comprising:
Step S101 receives third end and defaults in the training course in the presetting database；
Step S102 extracts each trained role in the training course, and generates corresponding each training
The selection information of role selects the training role in the training course for student.
In above step, it is previously received third end and the training course being stored in presetting database is set, extract training
Each of course trains role, and generates the selection information of each corresponding training role, so that student selects training session
Training role in journey.Wherein, third end also may include counselor's terminal, according to the training course received, for learning
After member logs in corresponding terminal, the training course needed is selected to be trained, wherein training course includes that at least one teaches guarantor
The training of dangerous knowledge and training to client interpretation declaration form, or counselor is received according to the customized application of needs of student
The scene defaulted in presetting database is carried out extracting integral by scene, and after student's registration terminal, training may be selected
Course it is more, after the preset training course in third end will be received, correspondence be stored with the corresponding task angle of each training course
Color training and corresponding standards of grading, the standards of grading are progress after the criteria for classifying come out according to known model training
Customized fractional value, if the similarity for getting the smile expression of student is 95%, is commented in the micro- expression of personage from data
Divide in table the fractional value for searching that similarity is smile expression corresponding to 95%, point of the trained factor as facial expression is obtained using this
Numerical value includes each trained factor fractional value corresponding to different trained extent and scopes in data grade form, can be according to obtaining
The corresponding range of each trained factor during Student Training is got, corresponding fractional value is got.
In the present embodiment, described using the corresponding training content of the first training role as standard, calculate the student
The step S2 of the corresponding fractional value of each trained factor in training process, comprising:
Step S21 obtains all nodes of each trained factor of the student in the training process；
Step S22 carries out matching comparison to the node of each trained factor according to preset examination node, gets
The node fractional value of each trained factor of successful match；
The fractional value of the corresponding each examination node of each trained factor is added, obtains each described by step S23
The corresponding fractional value of the training factor.
In above step, after the first training course for receiving student's selection, obtained according to the first training course got
The pre-set each trained node for getting each training course will acquire student's each trained factor in the training process
Each node carried out with preset each trained node corresponding, comparison includes the correspondence of time, goodness of fit of movement etc., such as
It gets the training action of student and preset action norm at first node to coincide, such as needs to be arranged when teaching insurance knowledge
After first training limb action is first time smile expression, but after getting first time smile expression, do not find any
Limbs training action then judges time delay, then can correspond to and go out to deduct the corresponding fractional value of retardance in the node, in each instruction
The each node for practicing the factor passes through the node progress of each student's factor in preset examination node performance practical to student
With comparison, the fractional value of corresponding node is got into preset matched node point bank according to matched result, by student
The corresponding node fractional value of each trained factor in training is added, and the fractional value of the corresponding trained factor can be obtained, lead to
It crosses partial node and gets corresponding fractional value addition, improve the accuracy of scoring, reduce the otherness artificially to score, meanwhile,
The defect that must instruct teacher's on-the-spot guidance scoring is saved, performance training is freer.
In the present embodiment, the corresponding fractional value of each trained factor that will acquire is added, and is obtained described
Student is obtained in first training course after the step S3 of total score, further includes:
Step S31 receives the student from the default training guidance teacher for instructing to select in library, and to the student and choosing
The training guidance teacher selected establishes incidence relation, wherein the training guidance teacher can be by logging in teacher's account number or religion
Teacher's terminal checks the training process of the student according to the incidence relation, to make indication evaluation to the student；
Step S32, after receiving the training guidance teacher to the indication evaluation of the student, by the indication evaluation
Message is sent to the account number or terminal of the student.
In above step, when getting total score of student after the first training course is completed in training, performer can be from pre-
If instructing the counselor for selecting this to train in library, and the student is established with the training guidance teacher of selection and is associated with
System, wherein the training guidance teacher can check institute according to the incidence relation by logging in teacher's account number or teacher's terminal
The training process of student is stated, to make indication evaluation to the student, when training guidance teacher checks that the student selected is corresponding
Training after, recorded according to the training, the comment of text or performance, and the comment is sent in system, system connects
After training guidance teacher is received to the comment of student, which is sent to the terminal or account number of student, so as to student
After registration terminal, the available comment information to selected teacher checks trained deficiency in time.
In the present embodiment, described to obtain all first training courses point that the student within a specified time selects
Not corresponding total score obtains the step S4 at long message of the Student Training, comprising:
Step S41 is created using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis, all described according to what is got
The total score of each first training course and the total score corresponding time in first training course, in the coordinate system
It is upper to carry out corresponding coordinate described point；
Step S42 carries out curve fitting according to the coordinate described point, obtains the growth curve of first training course；
Step S43 calculates the slope of each curve point according to the growth curve of first training course, gets institute
State Student Training at long message.
In above step, the corresponding total score of the first training course that student selects each time is got, with the time
For horizontal axis, fractional value is that the longitudinal axis establishes coordinate system, and described point is carried out on coordinate system according to the total score, according to institute on coordinate system
The point retouched carry out curve you and, obtain the growth curve of first training course；It can be by checking that growth curve checks instruction
Experienced growth variation, the slope of each curve point is calculated according to the growth curve of first training course, is got described
Student Training at long message.
In other embodiments, can also equally be passed through by each trained factor of acquisition first training course
Growth curve and pace of change value that coordinate system gets the corresponding trained factor are established, and according to the growth of the training factor
Curve, gets each slope of a curve, so available each trained factor to corresponding student at long message.
In the present embodiment, all first training courses that the acquisition student within a specified time selects are right respectively
The total score answered, after the step S4 at long message for obtaining the Student Training, comprising:
The training guidance for being sent to student's selection at long message of step S5, the Student Training that will acquire are old
The terminal of teacher receives the training guidance teacher according to the drill program of the growth information planning；
Step S6, by the drill program received and the terminal for being sent to the student at long message.
In above step, the student for being sent to student's selection at long message for the Student Training that system will acquire instructs old
The terminal of teacher, so that the student counselor targetedly helps student to advise according to the growth curve and speed that receive
It draws, is such as all standardized very much when training guidance teacher gets the facial expression of student, limb action, but voice training obvious shortcoming
When comprising the emotion of sound, is enunciated at the meaning of one's words, then training guidance teacher can targetedly go to choose the instruction for promoting sound
Practice course, and planned according to the current training degree of student, which is fed back into system, system will receive
Drill program and the terminal that student is sent at long message of specified time can be read after logging in corresponding terminal so as to student
Take, and it is planned be trained, be not necessarily to counselor's on-the-spot guidance, time coordination is low, and student can according to training refer to
The plan for leading teacher is targetedly trained, and is easier to promote the training result of itself.
In the present embodiment, the fractional value of each trained factor that will acquire is added, and obtains the student
Before obtaining the step S3 of total score in first training course, further includes:
Step S301 obtains the corresponding weighted value of each trained factor in first training course；
Step S302, by the corresponding fractional value of each trained factor weighted value corresponding with the trained factor
It is multiplied, obtains the fractional value of the student each trained factor in first training course.
In above step, according to the different types of emotion training course that student selects, quilt is obtained from categorical data table
The corresponding weight of each trained factor in the emotion training course of selection, according to the student got in the first training course of training
In the corresponding fractional value of each trained factor, the corresponding fractional value of each trained factor is corresponding with the trained factor
The weighted value is multiplied, and can get the ratio of the final fractional value weighted value of each trained factor.
It can be obtained according to training type, for different training types and property, obtain different weighted values.Such as to
The weighted value of the course of the training of client interpretation declaration form, the limbs of language voice, facial expression and limb action is balanced, respectively
35%, 35% and 30%.For another example in one embodiment, the first training course that student selects insures the instruction of knowledge to teach
Practice, it is available from categorical data table, teach in the training of insurance knowledge that weighted value is biggish for language voice, account for again than for
50%, facial expression and limb action account for again than being respectively 25%, 25%, according to getting student in the first training course
The corresponding fractional value of each trained factor, is multiplied with corresponding weighted value by the fractional value, can get the training factor
Final score value.
The application detects tracer technique, the micro- expression technology of face, voice recognition technology by existing AI limbs and combines, into
And matching comparison is carried out to the training of student, it is convenient that the action norms such as the expression degree of Student Training and body language are examined
It looks into, is instructed without teacher's field surveillance, without arrangement scene, save arrangement time and manpower, while also can be convenient performer
Check that itself performs, understanding is insufficient, promotes artistic skills.
In conclusion for the emotion training method provided in the embodiment of the present application, by obtaining student in training course
Training, and then get the fractional value that corresponding Student Training obtains, convenient expression degree and body language to Student Training
Equal action norms inspection, is instructed without teacher's field surveillance, without arrangement scene, saves arrangement time and manpower, simultaneously
Also it can be convenient student and check itself deficiency.
Referring to Fig. 2, a kind of emotion training device is additionally provided in one embodiment of the application, comprising:
First receiving module 10, the first training course selected from presetting database for receiving student, Yi Jisuo
State student selection first training role, wherein first training course include at least one training role and each
The corresponding training content of training role, the training content include the training factor, and the trained factor includes facial expression, language
Sound and/or limb action；
Computing module 20, for calculating student's instruction using the corresponding training content of the first training role as standard
The corresponding fractional value of each trained factor during white silk；
First obtains module 30, and the fractional value of each trained factor for will acquire is added, and obtains
Member obtains total score in first training course；
Second obtains module 40, all first training courses difference within a specified time selected for obtaining the student
Corresponding total score, obtain the Student Training at long message, wherein the growth information include be trained to long curve and at
Long velocity amplitude.
In the present embodiment, system receives the intelligent scene preset and the character under the intelligent scene, people
The voice of the corresponding facial expressions and acts of object angle color and character is semantic, wherein prestores all persons role's in the system of being stored in
Facial expressions and acts be in the prior art model training come out, for judging the normalization of each trained factor, therefore herein not
It repeats, is divided the expression of each personage and movement again by training pattern, and then it is corresponding to obtain each trained factor
Fractional value.
In one embodiment, it after the terminal logging request of student, can be logged in by recognition of face, when student logs in
Afterwards, Student Training's course can be searched into the corresponding presetting database of system, can also pass through the corresponding training guidance of student
Teacher is tailored to the scrnario operation of student according to student's course, when student selects the first training course from presetting database,
And the first training role of student's selection, system show corresponding training content according to the selection of student, for student's progress
Corresponding training, the first receiving module 10 is according to each trained factor of student in the training process is received, with the first training
The corresponding training content of role is standard, and computing module 20 calculates the corresponding score of each trained factor in student's training process
Value, can pass through live real-time recording and calculate the score value of each trained factor in student's training process, can also use
Student oneself shooting, the later period uploads to system, audits after being read out for system, to obtain corresponding point of each trained factor
Numerical value, e.g., movement can detect tracer technique by existing AI limbs, and facial expression is by the micro- expression technology of face, and sound is by sound
The analysis of identification technology association schemes obtains score value etc..It such as carries out that corresponding classification results are calculated by existing model, leads to
It crosses and gets Student Training's as a result, be put into corresponding model, get the classification results where student, and then available
To the fractional value of the corresponding trained factor.Facial expression, sound, movement are that the audio-visual-materials AI matching provided according to material obtains
When score, such as training, about the expression of smile, if the radian smiled is inadequate, then system can be according to right where the smile radian
The section answered carries out corresponding deduction of points, and the material that all scoring marks are provided using system is standard, according to the table got
Feelings matching similarity provides scoring in turn, has been more than or has not reached, and can obtain corresponding fractional value.According to preset base
Plinth score value, then the corresponding score value of each trained factor is obtained by matching value or value range, by all training factors
Score value is added, and then the available total score to student in the first training course of selection, is realized to student in class
Facial expression (such as smile expression) in Cheng Xunlian, body language are made and being automaticly inspected, and the training guidance teacher of student can also
The Student Training got with basis is as a result, arrange corresponding drill program or scene training, so that the training to student is trained
Instruction, which is made, targetedly plans.
After specified a period of time, such as one week or one month or two months, all training sessions to the student
Cheng Jinhang statistics and analysis, second obtain module 40 obtain the student each time train at long value comprising have growth
Curve and growth rate value analyze student in the training of this time, the score curve value of each Student Training's factor, with this
The growth curve and growth rate of each trained factor are obtained, and according to total score, gets the corresponding total growth of student
The result of analysis is showed corresponding student to check, so that student has a clear understanding of training by curve and growth rate
Development history.
In the present embodiment, the emotion training device includes:
Second receiving module, the training course defaulted in the presetting database for receiving third end；
Extraction module for extracting each trained role in the training course, and generates corresponding each described
The selection information of training role, the training role in the training course is selected for student.
In the present embodiment, the second receiving module is previously received the training that the setting of third end is stored in presetting database
Course, extraction module extract each of training course training role, and generate the selection letter of each corresponding training role
Breath, so that student selects the training role in training course.Wherein, third end also may include counselor's terminal, according to connecing
The training course received after logging in corresponding terminal for student, selects the training course needed to be trained, wherein training
Course includes at least one training for teaching insurance knowledge and training to client interpretation declaration form, or receive counselor according to
The scene defaulted in presetting database is carried out extracting integral by the customized application scenarios of needs of student, for student
After registration terminal, the course that training may be selected is more, and after receiving the preset training course in third end, correspondence is stored with each
The corresponding task role training of training course and corresponding standards of grading, which gone out according to known model training
After the criteria for classifying come, customized fractional value is carried out, in the micro- expression of personage, if getting the similar of the smile expression of student
Degree is 95%, then searches the fractional value that similarity is smile expression corresponding to 95% from data grade form, obtain instruction with this
Practice the fractional value that the factor is facial expression, includes that each trained factor is right in different trained extent and scope institutes in data grade form
The fractional value answered can get corresponding score according to the corresponding range of each trained factor during Student Training is got
Value.
In the present embodiment, the computing module 20 includes:
First acquisition unit, for obtaining all sections of each trained factor of the student in the training process
Point；
Second acquisition unit, for carrying out matching pair to the node of each trained factor according to preset examination node
Than getting the node fractional value of each trained factor of successful match；
Third acquiring unit is obtained for the fractional value of the corresponding each examination node of each trained factor to be added
To the corresponding fractional value of each trained factor.
In the present embodiment, after the first training course for receiving student's selection, according to the first training course got
The pre-set each trained node for getting each training course, will acquire student in the training process it is each training because
Each node of son carries out corresponding with preset each trained node, compares including the correspondence of time, goodness of fit of movement etc.,
It such as gets the training action of student and preset action norm at first node to coincide, need to such as be set when teaching insurance knowledge
It sets after the first training limb action is first time smile expression, but after getting first time smile expression, discovery is appointed
What limbs training action, then judge time delay, then can correspond to and go out to deduct the corresponding fractional value of retardance in the node, each
Each node of the training factor is carried out by the node of each student's factor in preset examination node performance practical to student
Matching comparison, gets the fractional value of corresponding node into preset matched node point bank according to matched result, will learn
The each trained factor corresponding node fractional value of the member in training is added, and the fractional value of the corresponding trained factor can be obtained,
Corresponding fractional value is got by partial node to be added, improves the accuracy of scoring, reduces the otherness artificially to score, meanwhile,
Also the defect that must instruct teacher's on-the-spot guidance scoring is saved, performance training is freer.
In the present embodiment, the emotion training device further include:
Third receiving module, for receiving the student from the default training guidance teacher for instructing to select in library, and to institute
The training guidance teacher for stating student and selection establishes incidence relation, wherein the training guidance teacher can be taught by logging in
Teacher's account number or teacher's terminal, the training process of the student is checked according to the incidence relation, to make indication to the student
Evaluation；
4th receiving module will be described after receiving the training guidance teacher to the indication evaluation of the student
The message of evaluation is given directions to be sent to the account number or terminal of the student.
In the present embodiment, when getting total score of student after the first training course is completed in training, performer can be from
The default counselor for instructing that this is selected to train in library, and the student is established with the training guidance teacher of selection and is associated with
System, wherein the training guidance teacher can check institute according to the incidence relation by logging in teacher's account number or teacher's terminal
The training process of student is stated, to make indication evaluation to the student, when training guidance teacher checks that the student selected is corresponding
Training after, recorded according to the training, the comment of text or performance, and the comment is sent in system, system connects
After training guidance teacher is received to the comment of student, which is sent to the terminal or account number of student, so as to student
After registration terminal, the available comment information to selected teacher checks trained deficiency in time.
In the present embodiment, the second acquisition module 40 includes:
Creating unit, it is all according to what is got for creating using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis
The total score of each first training course and the total score corresponding time in first training course, in the seat
Mark, which is fastened, carries out corresponding coordinate described point；
4th acquiring unit obtains first training course for carrying out curve fitting according to the coordinate described point
Growth curve；
5th acquiring unit, for calculating the oblique of each curve point according to the growth curve of first training course
Rate, get the Student Training at long message.
In the present embodiment, creating unit gets the corresponding total score of the first training course that student selects each time
Value, using the time as horizontal axis, fractional value is that the longitudinal axis establishes coordinate system, and carries out described point on coordinate system according to the total score, the 4th
Acquiring unit carries out curve fitting according to the point retouched on coordinate system, obtains the growth curve of first training course；It can be with
Trained growth variation is checked by checking growth curve, and the 5th acquiring unit is according to the growth curve of first training course
The slope for calculating each curve point, get the Student Training at long message.
In other embodiments, can also equally be passed through by each trained factor of acquisition first training course
Growth curve and pace of change value that coordinate system gets the corresponding trained factor are established, and according to the growth of the training factor
Curve, gets each slope of a curve, so available each trained factor to corresponding student at long message.
In the present embodiment, the emotion training device includes:
5th receiving module, the Student Training's for will acquire is sent to student's selection at long message
The terminal of training guidance teacher receives the training guidance teacher according to the drill program of the growth information planning；
Sending module, for by the drill program received and the end for being sent to the student at long message
End.
In the present embodiment, the student counselor that student's selection is sent at long message for the Student Training that will acquire
Terminal, so that the counselor of the student targetedly helps student to advise according to the growth curve and speed that receive
It draws, is such as all standardized very much when training guidance teacher gets the facial expression of student, limb action, but voice training obvious shortcoming
When comprising the emotion of sound, is enunciated at the meaning of one's words, then training guidance teacher can targetedly go to choose the instruction for promoting sound
Practice course, and planned according to the current training degree of student, which is fed back into system, system will receive
Drill program and the terminal that student is sent at long message of specified time can be read after logging in corresponding terminal so as to student
Take, and it is planned be trained, be not necessarily to counselor's on-the-spot guidance, time coordination is low, and student can according to training refer to
The plan for leading teacher is targetedly trained, and is easier to promote the training result of itself.
In the present embodiment, the emotion training device further include:
6th obtains module, for obtaining the corresponding weighted value of each trained factor in first training course；
7th obtains module, for by the corresponding fractional value of each trained factor institute corresponding with the trained factor
Weighted value multiplication is stated, the fractional value of the student each trained factor in first training course is obtained.
In the present embodiment, the different types of emotion training course selected according to student, obtains from categorical data table
The corresponding weight of each trained factor in the emotion training course selected, according to the student got in the first training session of training
The corresponding fractional value of each trained factor in journey answers the corresponding fractional value of each trained factor with the trained factor pair
The weighted value be multiplied, the ratio of the final fractional value weighted value of each trained factor can be got.
It can be obtained according to training type, for different training types and property, obtain different weighted values.Such as to
The weighted value of the course of the training of client interpretation declaration form, the limbs of language voice, facial expression and limb action is balanced, respectively
35%, 35% and 30%.For another example in one embodiment, the first training course that student selects insures the instruction of knowledge to teach
Practice, it is available from categorical data table, teach in the training of insurance knowledge that weighted value is biggish for language voice, account for again than for
50%, facial expression and limb action account for again than being respectively 25%, 25%, according to getting student in the first training course
The corresponding fractional value of each trained factor, is multiplied with corresponding weighted value by the fractional value, can get the training factor
Final score value.
The application detects tracer technique, the micro- expression technology of face, voice recognition technology by existing AI limbs and combines, into
And matching comparison is carried out to the training of student, it is convenient that the action norms such as the expression degree of Student Training and body language are examined
It looks into, is instructed without teacher's field surveillance, without arrangement scene, save arrangement time and manpower, while also can be convenient performer
Check that itself performs, understanding is insufficient, promotes artistic skills.
In conclusion for the emotion training device provided in the embodiment of the present application, by obtaining student in training course
Training, and then get the fractional value that corresponding Student Training obtains, convenient expression degree and body language to Student Training
Equal action norms inspection, is instructed without teacher's field surveillance, without arrangement scene, saves arrangement time and manpower, simultaneously
Also it can be convenient student and check itself deficiency.
Referring to Fig. 3, a kind of computer equipment is also provided in the embodiment of the present application, which can be server,
Its internal structure can be as shown in Figure 3.The computer equipment includes processor, the memory, network connected by system bus
Interface and database.Wherein, the processor of the Computer Design is for providing calculating and control ability.The computer equipment is deposited
Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program
And database.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.
The database of the computer equipment is for data such as the first training courses.The network interface of the computer equipment is used for and outside
Terminal passes through network connection communication.To realize a kind of emotion training method when the computer program is executed by processor.
Above-mentioned processor executes the step of above-mentioned emotion training method:
Receive the first training of the first training course and student selection that student selects from presetting database
Role, wherein first training course includes at least one training role and each corresponding training of training role
Hold, the training content includes the training factor, and the trained factor includes facial expression, language voice and/or limb action；
Using the corresponding training content of the first training role as standard, calculate each described during the Student Training
The corresponding fractional value of the training factor；
The fractional value for each trained factor that will acquire is added, and obtains the student in first training course
In obtain total score；
The corresponding total score of all first training courses for obtaining that the student within a specified time selects, it is raw
At the Student Training at long message, wherein the growth information includes being trained to long curve and growth rate value.
In one embodiment, the processor receives the first training course that student selects from presetting database, with
And student selection the first training role the step of before, comprising:
It receives third end and defaults in the training course in the presetting database；
Training role described in each of described training course is extracted, and generates each corresponding trained role's
Information is selected, the training role in the training course is selected for student.
In one embodiment, the processor calculates institute using the corresponding training content of the first training role as standard
The step of stating the corresponding fractional value of each trained factor during Student Training, comprising:
Obtain all nodes of each trained factor of the student in the training process；
Matching comparison is carried out to the node of each trained factor according to preset examination node, gets successful match
Each trained factor node fractional value；
The fractional value of the corresponding each examination node of each trained factor is added, each trained factor is obtained
Corresponding fractional value.
In one embodiment, the corresponding fractional value of each trained factor that the processor will acquire is added, and is obtained
After the step of obtaining total score in first training course to the student, further includes:
The student is received from the default training guidance teacher for instructing to select in library, and to described in the student and selection
Training guidance teacher establishes incidence relation, wherein the training guidance teacher can by logging in teacher's account number or teacher's terminal, according to
Check the training process of the student, according to the incidence relation to make indication evaluation to the student；
After the training guidance teacher is received to the indication evaluation of the student, the message for giving directions evaluation is sent
To the account number or terminal of the student.
In one embodiment, the processor obtains all first training that the student within a specified time selects
The corresponding total score of course, obtain the Student Training at long message the step of, comprising:
It creates using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis, according to all first training got
It the total score of each first training course and the total score corresponding time in course, is carried out on the coordinate system pair
The coordinate described point answered；
It is carried out curve fitting according to the coordinate described point, obtains the growth curve of first training course；
The slope that each curve point is calculated according to the growth curve of first training course gets student's instruction
It is experienced at long message.
In one embodiment, the processor obtains all first training courses that the student within a specified time selects
Corresponding total score, obtain the Student Training at after the step of long message, comprising:
The end of the training guidance teacher that student's selection is sent at long message for the Student Training that will acquire
End receives the training guidance teacher according to the drill program of the growth information planning；
By the drill program received and the terminal for being sent to the student at long message.
In one embodiment, the fractional value for each trained factor that the processor will acquire is added, and obtains institute
Before stating the step of student obtains total score in first training course, further includes:
Obtain the corresponding weighted value of each trained factor in first training course；
The corresponding fractional value of each trained factor weighted value corresponding with the trained factor is multiplied, is obtained
The fractional value of the student each trained factor in first training course.
It will be understood by those skilled in the art that structure shown in Fig. 3, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme.
One embodiment of the application also provides a kind of computer storage medium, is stored thereon with computer program, computer journey
A kind of emotion training method is realized when sequence is executed by processor, specifically:
Receive the first training of the first training course and student selection that student selects from presetting database
Role, wherein first training course includes at least one training role and each corresponding training of training role
Hold, the training content includes the training factor, and the trained factor includes facial expression, language voice and/or limb action；
Using the corresponding training content of the first training role as standard, calculate each described during the Student Training
The corresponding fractional value of the training factor；
The fractional value for each trained factor that will acquire is added, and obtains the student in first training course
In obtain total score；
The corresponding total score of all first training courses for obtaining that the student within a specified time selects, it is raw
At the Student Training at long message, wherein the growth information includes being trained to long curve and growth rate value.
In one embodiment, the processor receives the first training course that student selects from presetting database, with
And student selection the first training role the step of before, comprising:
It receives third end and defaults in the training course in the presetting database；
Training role described in each of described training course is extracted, and generates each corresponding trained role's
Information is selected, the training role in the training course is selected for student.
In one embodiment, the processor calculates institute using the corresponding training content of the first training role as standard
The step of stating the corresponding fractional value of each trained factor during Student Training, comprising:
Obtain all nodes of each trained factor of the student in the training process；
Matching comparison is carried out to the node of each trained factor according to preset examination node, gets successful match
Each trained factor node fractional value；
The fractional value of the corresponding each examination node of each trained factor is added, each trained factor is obtained
Corresponding fractional value.
In one embodiment, the corresponding fractional value of each trained factor that the processor will acquire is added, and is obtained
After the step of obtaining total score in first training course to the student, further includes:
The student is received from the default training guidance teacher for instructing to select in library, and to described in the student and selection
Training guidance teacher establishes incidence relation, wherein the training guidance teacher can by logging in teacher's account number or teacher's terminal, according to
Check the training process of the student, according to the incidence relation to make indication evaluation to the student；
After the training guidance teacher is received to the indication evaluation of the student, the message for giving directions evaluation is sent
To the account number or terminal of the student.
In one embodiment, the processor obtains all first training that the student within a specified time selects
The corresponding total score of course, obtain the Student Training at long message the step of, comprising:
It creates using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis, according to all first training got
It the total score of each first training course and the total score corresponding time in course, is carried out on the coordinate system pair
The coordinate described point answered；
It is carried out curve fitting according to the coordinate described point, obtains the growth curve of first training course；
The slope that each curve point is calculated according to the growth curve of first training course gets student's instruction
It is experienced at long message.
In one embodiment, the processor obtains all first training courses that the student within a specified time selects
Corresponding total score, obtain the Student Training at after the step of long message, comprising:
The end of the training guidance teacher that student's selection is sent at long message for the Student Training that will acquire
End receives the training guidance teacher according to the drill program of the growth information planning；
By the drill program received and the terminal for being sent to the student at long message.
In one embodiment, the fractional value for each trained factor that the processor will acquire is added, and obtains institute
Before stating the step of student obtains total score in first training course, further includes:
Obtain the corresponding weighted value of each trained factor in first training course；
The corresponding fractional value of each trained factor weighted value corresponding with the trained factor is multiplied, is obtained
The fractional value of the student each trained factor in first training course.
In conclusion being situated between for emotion training method, device, computer equipment and the storage provided in the embodiment of the present application
Matter by obtaining training of the student in training course, and then gets the fractional value that corresponding Student Training obtains, convenient to
The action norms inspection such as the expression degree of member's training and body language, is instructed without teacher's field surveillance, without arrangement field
Scape saves arrangement time and manpower, while also can be convenient student and checking itself deficiency.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can store and a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
Any reference used in provided herein and embodiment to memory, storage, database or other media,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM can by diversified forms
, such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double speed are according to rate SDRAM (SSRSDRAM), increasing
Strong type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, device, article or the method that include a series of elements not only include those elements, and
And further include the other elements being not explicitly listed, or further include for this process, device, article or method institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, device of element, article or method.
The foregoing is merely preferred embodiment of the present application, are not intended to limit the scope of the patents of the application, all utilizations
Equivalent structure or equivalent flow shift made by present specification and accompanying drawing content is applied directly or indirectly in other correlations
Technical field, similarly include in the scope of patent protection of the application.
Claims (10)
1. a kind of emotion training method, which comprises the following steps:
Receive the first training angle of the first training course and student selection that student selects from presetting database
Color, wherein first training course includes at least one training role and each corresponding training of training role
Hold, the training content includes the training factor, and the trained factor includes facial expression, language voice and/or limb action；
Using the corresponding training content of the first training role as standard, each training during the Student Training is calculated
The corresponding fractional value of the factor；
The fractional value for each trained factor that will acquire is added, and is obtained the student and is obtained in first training course
To total score；
The corresponding total score of all first training courses for obtaining that the student within a specified time selects, generates institute
State Student Training at long message, wherein the growth information include be trained to long curve and growth rate value.
2. emotion training method according to claim 1, which is characterized in that described to receive student from presetting database
Before the step of first training role of the first training course of selection and student selection, comprising:
It receives third end and defaults in the training course in the presetting database；
Training role described in each of described training course is extracted, and generates the selection of each corresponding trained role
Information selects the training role in the training course for student.
3. emotion training method according to claim 1, which is characterized in that described corresponding with the first training role
The step of training content is standard, calculates the corresponding fractional value of each trained factor during the Student Training, comprising:
Obtain all nodes of each trained factor of the student in the training process；
Matching comparison is carried out to the node of each trained factor according to preset examination node, gets the every of successful match
The fractional value of the node of the one trained factor；
The fractional value of the corresponding each examination node of each trained factor is added, each trained factor pair is obtained and answers
Fractional value.
4. emotion training method according to claim 1, which is characterized in that it is described will acquire it is each it is described training because
The corresponding fractional value of son is added, and after obtaining the step of student obtains total score in first training course, is also wrapped
It includes:
The student is received from the default training guidance teacher for instructing to select in library, and the training to the student and selection
Counselor establishes incidence relation, wherein the training guidance teacher can be by logging in teacher's account number or teacher's terminal, according to institute
The training process that incidence relation checks the student is stated, to make indication evaluation to the student；
After the training guidance teacher is received to the indication evaluation of the student, the message for giving directions evaluation is sent to institute
State the account number or terminal of student.
5. emotion training method according to claim 1, which is characterized in that described to obtain the student within a specified time
The corresponding total score of all first training courses of selection, obtain the Student Training at long message the step of,
Include:
It creates using the time as horizontal axis, using total score as the coordinate system of the longitudinal axis, according to all first training courses got
In each first training course total score and the total score corresponding time, carried out on the coordinate system corresponding
Coordinate described point；
It is carried out curve fitting according to the coordinate described point, obtains the growth curve of first training course；
The slope that each curve point is calculated according to the growth curve of first training course, gets the Student Training's
At long message.
6. emotion training method according to claim 1, which is characterized in that described to obtain the student within a specified time
The corresponding total score of all first training courses of selection, obtain the Student Training at after the step of long message,
Include:
The terminal of the training guidance teacher that student's selection is sent at long message for the Student Training that will acquire, connects
The training guidance teacher is received according to the drill program of the growth information planning；
By the drill program received and the terminal for being sent to the student at long message.
7. emotion training method according to claim 1, which is characterized in that it is described will acquire it is each it is described training because
The fractional value of son is added, before obtaining the step of student obtains total score in first training course, further includes:
Obtain the corresponding weighted value of each trained factor in first training course；
The corresponding fractional value of each trained factor weighted value corresponding with the trained factor is multiplied, described in acquisition
The fractional value of student's each trained factor in first training course.
8. a kind of emotion training device characterized by comprising
First receiving module, for receiving the first training course and the student that student selects from presetting database
First training role of selection, wherein first training course includes at least one training role and each training angle
The corresponding training content of color, the training content include the training factor, and the trained factor includes facial expression, language voice
And/or limb action；
Computing module, for calculating Student Training's process using the corresponding training content of the first training role as standard
In the corresponding fractional value of each trained factor；
First obtains module, and the fractional value of each trained factor for will acquire is added, and obtains the student in institute
It states in the first training course and obtains total score；
Second obtains module, corresponding for obtaining all first training courses that the student within a specified time selects
Total score, obtain the Student Training at long message, wherein the growth information include be trained to long curve and growth rate
Value.
9. a kind of computer equipment, including memory and processor, it is stored with computer program in the memory, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer storage medium, is stored thereon with computer program, which is characterized in that the computer program is located
The step of reason device realizes method described in any one of claims 1 to 7 when executing.
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Cited By (1)
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| CN111488813A (en) * | 2020-04-02 | 2020-08-04 | 咪咕文化科技有限公司 | Video emotion marking method and device, electronic equipment and storage medium |
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