CN109872183A - Intelligent Service evaluation method, computer readable storage medium and terminal device - Google Patents
Intelligent Service evaluation method, computer readable storage medium and terminal device Download PDFInfo
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Abstract
The invention belongs to field of computer technology more particularly to a kind of intelligent Service evaluation methods, computer readable storage medium and terminal device.The described method includes: obtaining the videograph of user, the videograph is for recording micro- expression of user during being serviced；Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include smile probability and smile duration accounting；History smile data are obtained, according to FUZZY ALGORITHMS FOR CONTROL, establish micro- expression scoring fuzzy control model；Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.The present invention can solve the problem of scoring that accurately, objectively can not obtain user to the business service.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of intelligent Service evaluation methods, computer-readable storage
Medium and terminal device.
Background technique
At present in service industry, for the communication of user and business personnel, there are many problems, in communication process how
It learns whether user is satisfied with the explanation of business personnel or attitude, often after communication, needs user directly to the business
Personnel make scoring, which not can avoid brush service point situation there are subjectivity, therefore, in the prior art can not accurately,
Objectively obtain scoring of the user to the business service.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of intelligent Service evaluation method, computer readable storage medium and
Terminal device, to solve the problems, such as the scoring that accurately, objectively can not obtain user to the business service.
The embodiment of the present invention in a first aspect, provide a kind of intelligent Service evaluation method, may include:
The videograph of user is obtained, the videograph is for recording micro- expression of user during being serviced；
Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include micro-
Laugh at probability and smile duration accounting；
History smile data are obtained, the first input that the smile probability in the history smile data is scored as user
Variable, the second input variable that the smile duration accounting in the history smile data is scored as user, by the score value that scores
Micro- expression scoring fuzzy control model is established according to FUZZY ALGORITHMS FOR CONTROL as the output variable of user's scoring；
Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.
The second aspect of the embodiment of the present invention provides a kind of intelligent Service evaluating apparatus, may include: that video record obtains
Modulus block, for obtaining the videograph of user, the videograph is for recording micro- expression of user during being serviced；
Smile data acquisition module, for analyzing micro- expression, obtaining the smile number of user according to the videograph
According to the smile data include smile probability and smile duration accounting；
Establish model module, for obtaining history smile data, using the smile probability in the history smile data as
First input variable of user's scoring scores second defeated using the smile duration accounting in the history smile data as user
Enter variable, the output variable that the score value that scores is scored as user establishes micro- expression scoring Fuzzy Control according to FUZZY ALGORITHMS FOR CONTROL
Simulation；
Grading module, for be based on the smile data, by micro- expression score fuzzy control model, obtain user couple
The scoring of the service.
The third aspect of the embodiment of the present invention, provides a kind of computer readable storage medium, described computer-readable to deposit
Storage media is stored with computer program, and the computer program realizes following steps when being executed by processor:
The videograph of user is obtained, the videograph is for recording micro- expression of user during being serviced；
Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include micro-
Laugh at probability and smile duration accounting；
History smile data are obtained, the first input that the smile probability in the history smile data is scored as user
Variable, the second input variable that the smile duration accounting in the history smile data is scored as user, by the score value that scores
Micro- expression scoring fuzzy control model is established according to FUZZY ALGORITHMS FOR CONTROL as the output variable of user's scoring；
Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.
The fourth aspect of the embodiment of the present invention, provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, when the processor executes the computer program
Realize following steps:
The videograph of user is obtained, the videograph is for recording micro- expression of user during being serviced；
Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include micro-
Laugh at probability and smile duration accounting；
History smile data are obtained, the first input that the smile probability in the history smile data is scored as user
Variable, the second input variable that the smile duration accounting in the history smile data is scored as user, by the score value that scores
Micro- expression scoring fuzzy control model is established according to FUZZY ALGORITHMS FOR CONTROL as the output variable of user's scoring；
Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.
Existing beneficial effect is the embodiment of the present invention compared with prior art: the embodiment of the present invention passes through acquisition first and uses
The videograph at family can be checked and analyze micro- expression of user during being serviced, and then according to videograph, obtain and use
The smile data at family, then analyzed by obtaining history smile data, and to history smile data, according to FUZZY ALGORITHMS FOR CONTROL, build
Micro- expression scoring fuzzy control model is found, smile data are then based on, it is available by micro- expression scoring fuzzy control model
Scoring of the user to the service, and then objectively learn whether user is satisfied with the service, compared with prior art, the present invention
It is objectively scored by micro- expression the service process, realizes the intelligence of service evaluation, it can accurately, objectively
Scoring of the user to the business service, and scoring process user and the marking of business personnel both sides' unaware are obtained, can be avoided brush
Attitude divides situation.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of schematic flow diagram of one embodiment of intelligent Service evaluation method in the embodiment of the present invention；
Fig. 2 is the schematic flow diagram that the smile data of user are obtained in the embodiment of the present invention；
Fig. 3 is the schematic flow diagram that smile probability of the user in the videograph is obtained in the embodiment of the present invention；
Fig. 4 is the exemplary flow that the impact factor of the corresponding smile of the business service classification is obtained in the embodiment of the present invention
Figure；
Fig. 5 is a kind of schematic flow diagram of another embodiment of intelligent Service evaluation method in the embodiment of the present invention；
Fig. 6 is a kind of one embodiment structure chart of intelligent Service evaluating apparatus in the embodiment of the present invention；
Fig. 7 is a kind of schematic block diagram of terminal device in the embodiment of the present invention.
Specific embodiment
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of one embodiment of intelligent Service evaluation method may include: in the embodiment of the present invention
Step S101, obtains the videograph of user, and the videograph is used to recording user during being serviced
Micro- expression.
In the present embodiment, the videograph of user can be the video record acquired in real time face-to-face in preset time period,
Recording micro- expression of user during being serviced by video record may be implemented by image recognition technology to micro- expression
Processing.
Step S102 analyzes micro- expression according to the videograph, obtains the smile data of user, the smile number
According to including smile probability and smile duration accounting.
In the present embodiment, the frame that user smiles is obtained by image recognition technology according to frame image each in videograph
Number, totalframes and corresponding duration further according to image in videograph calculate the smile probability of user in the videograph
And smile duration accounting.
Optionally, the schematic flow diagram of the smile data of user, step are obtained in the embodiment of the present invention shown in Figure 2
S102 may include:
Step S201 obtains the totalframes of image and corresponding total duration in the videograph；
Step S202 obtains what user smiled in the videograph according to frame image each in the videograph
Frame number and corresponding duration；
Step S203 obtains smile probability of the user in the videograph according to the frame number of totalframes and smile；
Step S204, according to total duration and corresponding duration of smiling, when obtaining smile of the user in the videograph
Long accounting.
Referring to fig. 2, in the present embodiment, the totalframes S and corresponding total duration T of image in the videograph, root are obtained
According to frame image each in the videograph, the frame number S1 and corresponding duration that user smiles in the videograph are obtained
T1, according to the frame number S1 of totalframes S and smile, user can be smiled in the videograph proportion, that is, be smiled
Smile probability S1/S of the frame number proportion as user in the videograph.When according to total duration T and smiling corresponding
Long T1 obtains smile duration accounting of the user in the videograph are as follows: T1/T.
Optionally, user is obtained in the videograph according to the frame number of totalframes and smile referring to Fig. 3, step S203
In smile probability, may include step S301 to S303:
Step S301 obtains the business clothes according to business service classification logotype preconfigured in the videograph
The impact factor of the corresponding smile of classification of being engaged in.
In the present embodiment, for the calculating of smile probability, since there is different influences for unused business service classification
Factor, i.e. influence factor include business service classification belonging to videograph, therefore are corresponding with not to different business service type
Same impact factor.Wherein, business service classification may include security, loan etc., for different business service classifications into
Row business consultation or when handling can be the side for being also possible to long-distance video exchange that the sales counter in bank carries out face-to-face exchange
Formula.
Wherein, in the present embodiment, the calculating of impact factor is according to obtaining the business service classification corresponding history scoring
Record storehouse: the score value in the history scoring record in history scoring record storehouse in preset time period is divided, is here preset at
Period can be to record on the date the previous day corresponding time that the time is current date.If full marks are 5 points, by 1 point and 2 points
Be divided into first kind score value, 3 and 4 points be divided into the second class score value, is divided into third class score value, the first kind point for 5 points
Being worth corresponding weight is 1/6, and the corresponding weight of the second class score value is 1/3, and the corresponding weight of third class score value is 1/2, then calculates
The formula of impact factor are as follows: impact factor=1- (first kind score value proportion * the 1/6+ the second class score value proportion * 1/3+
Third class score value proportion * 1/2)；Wherein, first kind score value proportion=sum/history comprising first kind score value
The sum of score value in scoring record.Such as: the sum of score value is 5 in history scoring record, and the sum of first kind score value is 3
A, the sum of the second class score value is 1, and the sum of third class score value is 1, then the impact factor a of the business service classification are as follows:
1-3/5*1/6+1/5*1/3+1/5*1/2=11/15.The impact factor of each business service classification can be according to every default week
Phase updates once, continues to optimize the corresponding mathematical model of smile probability.
Step S302 obtains user and smiles in the videograph proportion according to the frame number of totalframes and smile.
In the present embodiment, according to the frame number S1 of totalframes S and smile, obtain shared by user smiles in the videograph
Ratio are as follows: S1/S.
The product of the impact factor and the smile proportion is determined as user in the videograph by step S303
In smile probability.
In the present embodiment, here smile probability refer to the frame number that user smiles ratio shared in totalframes and influence because
The product of sub- a: P=a* (S1/S).
Optionally, referring to fig. 4, step S302 obtains the impact factor of the corresponding smile of the business service classification, can be with
Include:
Step S401 obtains the corresponding multiple scorings point of the business service classification from default history scoring record storehouse
Value, the multiple scoring score value is for indicating scoring of multiple users to the business service classification corresponding with service.
In the present embodiment, the corresponding multiple scorings point of the business service classification are obtained from default history scoring record storehouse
Value, the then multiple scoring score values obtained are M={ m1, m2 ..., mg ..., mn }.
Step S402 obtains each scoring score value proportion in the scoring total score of the business service classification.
In the present embodiment, the scoring total score of business service classification are as follows:Then each scoring point
Value proportion in the scoring total score of the business service classification are as follows: pg=mg/U.
Step S403, according to the corresponding default weight of each scoring score value and in the scoring total score of the business service classification
Proportion in value obtains the impact factor of the corresponding smile of the business service classification by weighted calculation.
In the present embodiment, if scoring score value full marks are 5 points, first kind score value is divided by 1 point and 2 points, 3 and 4 points
Be divided into the second class score value, be divided into third class score value, the corresponding weight w of first kind score value for 5 points1It is 1/6, the second class
The corresponding weight w of score value2It is 1/3, the corresponding weight w of third class score value3It is 1/2, it is therefore, corresponding according to each scoring score value
Default weight wq(q=1,2,3), the proportion p in the scoring total score of the business service classificationg, by weighted calculation,
Obtain the impact factor of the corresponding smile of the business service classification are as follows:
Optionally, referring to Fig. 1, after the smile data for obtaining user, by step S103, history smile data are obtained,
The first input variable that smile probability in the history smile data is scored as user, will be in the history smile data
The second input variable for scoring as user of smile duration accounting, the output variable that the score value that scores is scored as user, root
According to FUZZY ALGORITHMS FOR CONTROL, micro- expression scoring fuzzy control model is established.
In the present embodiment, by the history smile data smile probability and smile duration account for and comment as establishing micro- expression
The input variable of point fuzzy control model, the score value that will score score the output variable of fuzzy control model as establishing micro- expression,
Wherein, defeated using the smile duration accounting in the history smile data as establish micro- expression scoring fuzzy control model second
Enter variable.
Wherein, " if A and B then C " type fuzzy reasoning method is used in the present embodiment, fuzzy rule is " most
Greatly-minimum " rule.For the fuzzy controller of dual input list of the present invention output, then all control rules are right
The fuzzy relation answered may be expressed as:Rij=i×Bj×Cij(i=1,2,3,4,5；J=1,2,3,
4,5), wherein Ai、Bi、CiRespectively indicate selected Fuzzy Linguistic Variable.Such as AiIndicate the Vague language of the first input variable
Say variable, BiIndicate the Fuzzy Linguistic Variable of the second input variable, CiIndicate the Fuzzy Linguistic Variable of output variable.
Using smile probability as the first input variable Q of the fuzzy rule that scores in micro- expression scoring fuzzy control modelr, will
Second input variable Q of the smile duration accounting as scoring fuzzy rule in the videographs, the output change for the fuzzy rule that scores
Amount is scoring size H, wherein chooses the first input variable Q of scoring fuzzy rulerBasic domain be [0, first threshold],
Fuzzy domain is { 0, first threshold/M1, first threshold * 2/M1 ..., first threshold }, fuzzy subset is VS (very little), S (small),
Z (medium), B (big), VB (very big)；Choose the second input variable Q of scoring fuzzy rulesBasic domain be [0, the second threshold
Value], obscure domain be { 0, second threshold/M2, second threshold * 2/M2 ..., second threshold }, fuzzy subset be VS (very little),
S (small), Z (medium), B (big), VB (very big)；The basic domain of the output variable H of scoring fuzzy rule is [0, third threshold value],
Fuzzy domain is { 0, third threshold value/M3, third threshold value * 2/M3 ..., third threshold value }, Fuzzy Linguistic Variable value be VS (very little),
S (small), Z (medium), L (big), VL (very big), their quantizing factor is 1, then the corresponding fuzzy control rule of micro- expression scoring
Then table are as follows:
Step S104 is based on the smile data, by micro- expression scoring fuzzy control model, obtains user to the clothes
The scoring of business.
In the present embodiment, micro- expression that the corresponding fuzzy control rule table that micro- expression can be scored can be used as scores fuzzy
Controlling model is based on the smile data, and by the corresponding fuzzy control rule table of micro- expression scoring, available user is to institute
State the scoring of service.According to rule it is found that smile probability is bigger here, smile duration accounting is bigger, then scores higher, will score
Fuzzy Linguistic Variable value be labeled as corresponding score value are as follows: VS (very little) labeled as corresponding 1 point, S it is (small) be labeled as corresponding 2
Point, Z it is (medium) labeled as corresponding 3 points, L it is (big) labeled as corresponding 4 points, VL (very big) labeled as corresponding 5 points.
Specifically, according to the smile probability of user, the fuzzy subset of corresponding first input variable is obtained, when according to smiling
Long accounting obtains the fuzzy subset of corresponding second input variable, further according to scoring fuzzy rule, obtains corresponding output variable
Fuzzy Linguistic Variable scoring of the user to the service is obtained according to the corresponding label of Fuzzy Linguistic Variable value.For example, with
The fuzzy subset of corresponding first input variable of the smile probability at family is VS (very little), corresponding second input of smile duration accounting
The fuzzy subset of variable is S (small), then the Fuzzy Linguistic Variable for the corresponding output variable that scores is VS, is commented according to label is corresponding
It is divided into 1 point, then the user is evaluated as 1 point to what this was serviced.
Optionally, another embodiment in intelligent Service evaluation method may refer to schematic flow diagram shown in fig. 5, ginseng
See that step S501 to S502 is realized:
Step S501 stores scoring of the user to the service into default history scoring record storehouse；
It is earliest that step S502 deletes business service classification record time in the default history scoring record storehouse
Score score value, obtains updated default history scoring record storehouse.
In the present embodiment, by the way that scoring of the user to the service is updated in default history scoring record storehouse,
And it deletes the business service classification and records time earliest scoring score value, Neng Goushi in the default history scoring record storehouse
The update for now presetting history scoring record storehouse constantly repairs scoring process by presetting the continuous renewal of history scoring record storehouse
Just, the methods of marking can be continued to optimize.
In conclusion the embodiment of the present invention passes through the videograph for obtaining user first, it can check and analyze user and exist
Micro- expression during being serviced obtains the smile data of user then according to videograph, then by obtaining history smile number
According to, and history smile data are analyzed, according to FUZZY ALGORITHMS FOR CONTROL, micro- expression scoring fuzzy control model is established, is then based on
Smile data by micro- expression scoring fuzzy control model, scoring of the available user to the service, and then objectively obtain
Know whether user is satisfied with the service, compared with prior art, the present invention carries out objectively the service process by micro- expression
Scoring, realizes the intelligence of service evaluation, can accurately, objectively obtain scoring of the user to the business service, and comment
Divide process user and the marking of business personnel both sides' unaware, can be avoided brush attitude point situation, solves in the presence of brush service
Attitude divides situation, and due to the effect of impact factor, can constantly update with the time, constantly correct to scoring process, can
To continue to optimize the methods of marking, the problem of user scores to the business service can be accurately obtained.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Corresponding to intelligent Service evaluation method described in foregoing embodiments, Fig. 6 shows provided in an embodiment of the present invention one
One embodiment structure chart of kind intelligent Service evaluating apparatus.
In the present embodiment, a kind of intelligent Service evaluating apparatus may include:
Video record obtains module 601, and for obtaining the videograph of user, the videograph exists for recording user
Micro- expression during being serviced；
Smile data acquisition module 602, for analyzing micro- expression, obtaining the micro- of user according to the videograph
Data are laughed at, the smile data include smile probability and smile duration accounting；
Model module 603 is established, for obtaining history smile data, the smile probability in the history smile data is made
For the first input variable of user's scoring, second that the smile duration accounting in the history smile data is scored as user
It is fuzzy to establish micro- expression scoring according to FUZZY ALGORITHMS FOR CONTROL for input variable, the output variable that the score value that scores is scored as user
Controlling model；
Grading module 604, for be based on the smile data, by micro- expression score fuzzy control model, obtain user
Scoring to the service.
Optionally, the smile data acquisition module 602, comprising: first acquisition unit, for obtaining the videograph
The totalframes of middle image and corresponding total duration；
Second acquisition unit, for obtaining user in the videograph according to frame image each in the videograph
The frame number of middle smile and corresponding duration；
Smile probability acquiring unit obtains user in the videograph for the frame number according to totalframes and smile
Smile probability；
Smile duration accounting acquiring unit, for obtaining user in the view according to total duration and corresponding duration of smiling
Smile duration accounting in frequency record.
Optionally, the smile probability acquiring unit, is specifically used for: according to business preconfigured in the videograph
Service type mark, obtains the impact factor of the corresponding smile of the business service classification；
According to the frame number of totalframes and smile, obtains user and smile in the videograph proportion；
The product of the impact factor and the smile proportion is determined as smile of the user in the videograph
Probability.
Optionally, the intelligent Service evaluating apparatus can also include: memory module, be used for the user to described
The scoring of service is stored into default history scoring record storehouse；
Update module records the time most in the default history scoring record storehouse for deleting the business service classification
Early scoring score value obtains updated default history scoring record storehouse.
The schematic block diagram that Fig. 7 shows a kind of terminal device provided in an embodiment of the present invention is only shown for ease of description
Part related to the embodiment of the present invention.
In the present embodiment, the terminal device 7 includes: processor 70, memory 71 and is stored in the memory
In 71 and the computer program 72 that can run on the processor 70, such as execute the meter of above-mentioned intelligent Service evaluation method
Calculation machine program.The processor 70 realizes above-mentioned each intelligent Service evaluation method embodiment when executing the computer program 72
In step, such as step S101 to S104 shown in FIG. 1.Alternatively, when the processor 70 executes the computer program 72
Realize the function of each module/unit in above-mentioned each Installation practice, such as the function of module 601 to 604 shown in Fig. 6.
Illustratively, the computer program 72 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 71, and are executed by the processor 70, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 72 in the terminal device 7 is described.
The terminal device 7 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 70, memory 71.It will be understood by those skilled in the art that Fig. 7
The only example of terminal device 7 does not constitute the restriction to terminal device 7, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
The processor 70 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 71 can be the internal storage unit of the terminal device 7, such as the hard disk or interior of terminal device 7
It deposits.The memory 71 is also possible to the External memory equipment of the terminal device 7, such as be equipped on the terminal device 7
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 71 can also both include the storage inside list of the terminal device 7
Member also includes External memory equipment.The memory 71 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 71 can be also used for temporarily storing the data that has exported or will export.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of intelligent Service evaluation method characterized by comprising
The videograph of user is obtained, the videograph is for recording micro- expression of user during being serviced；
Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include smiling generally
Rate and smile duration accounting；
History smile data are obtained, the first input that the smile probability in the history smile data scores as user is become
Amount, the second input variable that the smile duration accounting in the history smile data is scored as user make scoring score value
Micro- expression scoring fuzzy control model is established according to FUZZY ALGORITHMS FOR CONTROL for the output variable of user's scoring；
Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.
2. intelligent Service evaluation method according to claim 1, which is characterized in that described to be analyzed according to the videograph
Micro- expression obtains the smile data of user, comprising:
Obtain the totalframes of image and corresponding total duration in the videograph；
According to frame image each in the videograph, obtain frame number that user smiles in the videograph and it is corresponding when
It is long；
According to the frame number of totalframes and smile, smile probability of the user in the videograph is obtained；
According to total duration and corresponding duration of smiling, smile duration accounting of the user in the videograph is obtained.
3. intelligent Service evaluation method according to claim 2, which is characterized in that the frame according to totalframes and smile
Number obtains smile probability of the user in the videograph, comprising:
According to business service classification logotype preconfigured in the videograph, it is corresponding micro- to obtain the business service classification
The impact factor laughed at；
According to the frame number of totalframes and smile, obtains user and smile in the videograph proportion；
The product of the impact factor and the smile proportion is determined as smile probability of the user in the videograph.
4. intelligent Service evaluation method according to claim 3, which is characterized in that described to obtain the business service classification
The impact factor of corresponding smile, comprising:
The corresponding multiple scoring score values of the business service classification, the multiple scoring are obtained from default history scoring record storehouse
Score value is for indicating scoring of multiple users to the business service classification corresponding with service；
Obtain each scoring score value proportion in the scoring total score of the business service classification；
According to the corresponding default weight of each scoring score value and the proportion in the scoring total score of the business service classification,
By weighted calculation, the impact factor of the corresponding smile of the business service classification is obtained.
5. intelligent Service evaluation method according to claim 4, which is characterized in that this method further include:
Scoring of the user to the service is stored into default history scoring record storehouse；
It deletes the business service classification and records time earliest scoring score value in the default history scoring record storehouse, obtain
Updated default history scoring record storehouse.
6. a kind of intelligent Service evaluating apparatus characterized by comprising
Video record obtains module, and for obtaining the videograph of user, the videograph is being serviced for recording user
Micro- expression in the process；
Smile data acquisition module, for analyzing micro- expression, obtaining the smile data of user according to the videograph,
The smile data include smile probability and smile duration accounting；
Model module is established, for obtaining history smile data, using the smile probability in the history smile data as user
First input variable of scoring becomes the second input that the smile duration accounting in the history smile data scores as user
Amount, the output variable that the score value that scores is scored as user establish micro- expression scoring Fuzzy Control molding according to FUZZY ALGORITHMS FOR CONTROL
Type；
Grading module, for be based on the smile data, by micro- expression score fuzzy control model, obtain user to described
The scoring of service.
7. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization intelligent Service evaluation method as described in any one of claims 1 to 5 when the computer program is executed by processor
The step of.
8. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes following steps when executing the computer program:
The videograph of user is obtained, the videograph is for recording micro- expression of user during being serviced；
Micro- expression is analyzed according to the videograph, obtains the smile data of user, the smile data include smiling generally
Rate and smile duration accounting；
History smile data are obtained, the first input that the smile probability in the history smile data scores as user is become
Amount, the second input variable that the smile duration accounting in the history smile data is scored as user make scoring score value
Micro- expression scoring fuzzy control model is established according to FUZZY ALGORITHMS FOR CONTROL for the output variable of user's scoring；
Scoring of the user to the service is obtained by micro- expression scoring fuzzy control model based on the smile data.
9. terminal device according to claim 8, which is characterized in that described to analyze micro- table according to the videograph
Feelings obtain the smile data of user, comprising:
Obtain the totalframes of image and corresponding total duration in the videograph；
According to frame image each in the videograph, obtain frame number that user smiles in the videograph and it is corresponding when
It is long；
According to the frame number of totalframes and smile, smile probability of the user in the videograph is obtained；
According to total duration and corresponding duration of smiling, smile duration accounting of the user in the videograph is obtained.
10. terminal device according to claim 9, which is characterized in that the frame number according to totalframes and smile obtains
Smile probability of the user in the videograph, comprising:
According to business service classification logotype preconfigured in the videograph, it is corresponding micro- to obtain the business service classification
The impact factor laughed at；
According to the frame number of totalframes and smile, obtains user and smile in the videograph proportion；
The product of the impact factor and the smile proportion is determined as smile probability of the user in the videograph.
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