CN109858377A - Contributing device, device, storage medium and electronic equipment based on micro- Expression Recognition - Google Patents
Contributing device, device, storage medium and electronic equipment based on micro- Expression Recognition Download PDFInfo
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Abstract
This disclosure relates to micro- Expression Recognition technical field, a kind of contributing device based on micro- Expression Recognition and device, storage medium and electronic equipment are disclosed.The contributing device based on micro- Expression Recognition includes: the micro- expression for acquiring user；Smile's sincerity degree corresponding with the micro- expression is obtained, and target contribution number is obtained according to smile's sincerity degree；Number, which is contributed money, according to the target executes corresponding contribution operation.The disclosure obtains smile's sincerity degree based on the identification to the micro- expression of user, and smile's sincerity degree is associated with contribution number, realizes micro- Expression Recognition technology and contributes money the combination of behavior, improves the interest of contribution behavior, improve the property of participation of user.
Description
Technical field
This disclosure relates to micro- Expression Recognition technical field, more specifically, disclosing a kind of contribution based on micro- Expression Recognition
Method, the money donation device based on micro- Expression Recognition, storage medium and electronic equipment.
Background technique
With the high speed development of today's society, more and more people start to join in public welfare activities, but many people often due to
It can not find suitable activity form or preferable movable intention, it is not high to the cognition and participation of public welfare activities, and with interconnection
The development of net, people start for public good and science and technology to be closely linked, so that public welfare activities become convenient, attractive.
Currently, many platforms have started to be combined public good with science and technology, such as by carrying out contribution behaviour in user mobile phone terminal
Make, but since user can not confirm the specific place to go of oneself contributed money item, the attitude suspected still is kept to such public good behavior, into
And reduce the participation enthusiasm of user.
Therefore, there is a need in the field to provide a kind of new contributing devices.
It should be noted that the information in the invention of above-mentioned background technology part is only used for reinforcing the reason to the background of the disclosure
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The disclosure is designed to provide a kind of contributing device based on micro- Expression Recognition and device, storage medium and electronics
Equipment, and then overcome at least to a certain extent due to people's caused public welfare activities participation low to public welfare activities cognition degree
It is low, participate in enthusiasm it is poor the problems such as.To realize that the above technical effect, the disclosure adopt the following technical scheme that.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
According to one aspect of the disclosure, a kind of contributing device based on micro- Expression Recognition is provided, comprising:
Acquire micro- expression of user；
Smile's sincerity degree corresponding with the micro- expression is obtained, and target contribution number is obtained according to smile's sincerity degree
Volume；
Number, which is contributed money, according to the target executes corresponding contribution operation.
In a kind of exemplary embodiment of the disclosure, before micro- expression of acquisition user, the method also includes:
The expressive features information of a variety of micro- expression samples is extracted, and according to the expressive features information to micro- expression sample
This scores, to obtain the corresponding smile's sincerity degree of micro- expression sample；
Using the expressive features information as input vector, smile's sincerity degree is input to a machine as output vector
Device learning model is trained the machine learning model, and using the trained machine learning model as the table
The mapping model of feelings characteristic information and smile's sincerity degree.
In a kind of exemplary embodiment of the disclosure, the expressive features information includes that raise up angle, eyes of the corners of the mouth are curved
One of bent angle, cheek height of projection, chin expansion degree are a variety of；
The expressive features information for extracting a variety of micro- expression samples, and according to the expressive features information to micro- table
Feelings score, to obtain the corresponding smile's sincerity degree of micro- expression sample, comprising:
Obtain the quantity that the expressive features information in micro- expression sample is greater than preset threshold；
The quantity is matched with multiple pre-set intervals, if the quantity is in a target pre-set interval, it is determined that
Smile degree value corresponding with the target pre-set interval is target smile degree value；
Obtain the corresponding weighted value of expressive features information for being greater than the preset threshold；
It is scored according to the target smile degree value and the weighted value micro- expression, to obtain micro- table
The corresponding smile's sincerity degree of feelings sample.
It is described according to the target smile degree value and the weighted value pair in a kind of exemplary embodiment of the disclosure
Micro- expression scores, to obtain the corresponding smile's sincerity degree of micro- expression sample, comprising:
Obtain the sum of corresponding weighted value of the expressive features information；
The sum of described weighted value and the target smile degree value are accumulated, it is true to obtain the corresponding smile of micro- expression
Really degree.
In a kind of exemplary embodiment of the disclosure, smile's sincerity degree corresponding with the micro- expression is obtained, and according to
Smile's sincerity degree obtains target and contributes money number, comprising:
It obtains the corresponding smile's sincerity degree of micro- expression sample and contributes money the corresponding relationship of number；
The target, which is obtained, according to micro- corresponding smile's sincerity degree of expression and the corresponding relationship contributes money number.
In a kind of exemplary embodiment of the disclosure, according to micro- corresponding smile's sincerity degree of expression and the correspondence
Target described in Relation acquisition contributes money number, comprising:
Obtain the expressive features information of micro- expression；
The expressive features information input that will acquire is to the mapping model, with the determining and expressive features information pair
The smile's sincerity degree answered；
Based on the corresponding relationship between smile's sincerity degree and the contribution number, the target contribution number is obtained.
In a kind of exemplary embodiment of the disclosure, micro- expression of the acquisition user, comprising:
Receive the micro- expression for the user that user uploads in movable platform；Alternatively,
The camera of subscriber terminal equipment is called to take pictures, to obtain micro- expression of the user；Alternatively,
The micro- expression provided by campaign owners acquires micro- expression that equipment obtains the user.
According to one aspect of the disclosure, a kind of money donation device based on micro- Expression Recognition is provided, comprising:
Expression acquisition module, for acquiring micro- expression of user；
Module is obtained, for obtaining smile's sincerity degree corresponding with the micro- expression, and is obtained according to smile's sincerity degree
Target is taken to contribute money number；
Operation executing module executes corresponding contribution operation for contributing money number according to the target.
According to one aspect of the disclosure, a kind of storage medium is provided, computer program, the computer are stored thereon with
The contributing device based on micro- Expression Recognition described in above-mentioned any one is realized when program is executed by processor.
According to one aspect of the disclosure, a kind of electronic equipment is provided, comprising:
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to execute base described in above-mentioned any one via the executable instruction is executed
In the contributing device of micro- Expression Recognition.
In the contributing device based on micro- Expression Recognition of the disclosure, it is based on micro- Expression Recognition technology, obtains the micro- table of user
The corresponding smile's sincerity degree of feelings, platform are contributed money according to contribution number progress corresponding to user's smile's sincerity degree is corresponding.On the one hand,
Smile's sincerity degree of user is obtained by micro- Expression Recognition technology, can carry out otherness differentiation to micro- expression of different user,
Improve movable interest；Meanwhile the combination of micro- Expression Recognition technology and bono contributions behavior is realized, improve user's
Public welfare activities property of participation.On the other hand, smile's sincerity degree of user is associated with contribution number, platform is true according to the smile of user
Really degree is contributed money accordingly, so that user is experienced sincere smile and more public goods is brought to contribute, improve user's body
It tests.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The following detailed description is read with reference to the accompanying drawings, above-mentioned and other mesh of disclosure illustrative embodiments
, feature and advantage will become prone to understand.In the accompanying drawings, if showing the disclosure by way of example rather than limitation
Dry embodiment, in which:
Fig. 1 schematically shows the process of the contributing device based on micro- Expression Recognition according to disclosure embodiment
Figure；
Fig. 2 schematically shows establish reflecting for expressive features information and smile's sincerity degree according to disclosure embodiment
Penetrate the flow chart of model；
Fig. 3, which is schematically shown, carries out micro- expression sample according to expressive features information according to disclosure embodiment
Scoring, to obtain the flow chart of the corresponding smile's sincerity degree of micro- expression sample；
Fig. 4 schematically shows the signals according to the money donation device based on micro- Expression Recognition of disclosure embodiment
Figure；
Fig. 5 schematically shows the schematic diagram of the storage medium according to disclosure embodiment；
Fig. 6 schematically shows the block diagram of the electronic equipment according to disclosure embodiment.
In the accompanying drawings, identical or corresponding label indicates identical or corresponding part.
Specific embodiment
Illustrative embodiments are described more fully with reference to the drawings.However, illustrative embodiments can be with more
Kind form is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will more
Add fully and completely, and the design of illustrative embodiments is comprehensively communicated to those skilled in the art.It is identical in figure
Appended drawing reference indicates same or similar structure, thus the detailed description that will omit them.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to provide and fully understand to embodiment of the disclosure.However,
It will be appreciated by persons skilled in the art that can be with technical solution of the disclosure without one in the specific detail or more
It is more, or can be using other methods, constituent element, device, step etc..In other cases, known in being not shown in detail or describing
Structure, method, apparatus, realization or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or these are realized in the module of one or more softwares hardening
A part of functional entity or functional entity, or realized in heterogeneous networks and/or processor device and/or microcontroller device
These functional entitys.
This field in the related technology, the form of bono contributions has very much, for example, personal solicit contributions in site of activity, use
Family internet donations are realized by terminal device；Business organization or group's promotional activities and fund raised donate, etc..So
And not only mode is single for such bono contributions, it is difficult to everybody be attracted to participate in；Simultaneously as the appearance of various frauds, drop
The low public approvals to bono contributions, thereby reduce the enthusiasm that user participates in public welfare activities.
Based on this, in an exemplary embodiment of the disclosure, a kind of contribution side based on micro- Expression Recognition is provided firstly
Method.Fig. 1 shows the contributing device flow chart based on micro- Expression Recognition, refering to what is shown in Fig. 1, should the contribution based on micro- Expression Recognition
Method may comprise steps of:
Step S110: micro- expression of user is acquired；
Step S120: smile's sincerity degree corresponding with the micro- expression is obtained, and according to smile's sincerity degree acquisition mesh
Mark contribution number；
Step S130: number is contributed money according to the target and executes corresponding contribution operation.
According to the contributing device based on micro- Expression Recognition in this example embodiment, on the one hand, pass through micro- Expression Recognition skill
Art obtains smile's sincerity degree of user, can carry out otherness differentiation to micro- expression of different user, improve movable entertaining
Property；Meanwhile the combination of micro- Expression Recognition technology and bono contributions behavior is realized, improve the public welfare activities property of participation of user.
On the other hand, smile's sincerity degree of user is associated with contribution number, platform carries out corresponding according to smile's sincerity degree of user
Contribution enables user to experience sincere smile and more public goods is brought to contribute, increases user experience.
In order to make it easy to understand, the disclosure will by taking bono contributions activity as an example, in this example embodiment based on micro- expression
The contributing device of identification is further detailed.
In step s 110, micro- expression of user is acquired.
In this example embodiment, micro- expression of the user of access bono contributions movable platform can be acquired.Wherein, it uses
The mode of family access movable platform may is that the two dimensional code provided using the terminal device scans site of activity with camera,
The terminal device can be smart phone or PAD, etc.；Perhaps pass through work by the network address of input platform offer or directly
Micro- expression that dynamic scene provides acquires equipment landing platform.The mode for acquiring micro- expression of user, which can be, receives user in activity
Micro- expression in subscriber terminal equipment photograph album that platform uploads, can call the camera of subscriber terminal equipment take pictures adopting
Collection can also acquire equipment by the ad hoc micro- expression of campaign owners and be acquired.In embodiment of the disclosure, user
The acquisition mode of micro- expression, which can be, carries out micro- expression acquisition for each individual subscriber, is also possible to pass through campaign owners
Micro- expression acquisition equipment collective's acquisition is carried out to micro- expression proprietary in a certain range in space for activities, and be respectively each
The Division identification that micro- expression is numbered in order to micro- expression.It should be noted that other modes can also be taken according to the actual situation
Micro- expression of user is acquired, the disclosure does not do particular determination to this.
In addition, before micro- expression of acquisition user a micro- expression data library can be initially set up, micro- expression data library
In a variety of micro- expression samples can be and obtained by way of the above-mentioned micro- expression of acquisition user, can also be from the network platform
The micro- expression obtained in (Baidu, Sohu and Google etc.) expands the acquisition model of micro- expression sample in micro- expression data library in this way
It encloses, further micro- Expression Recognition convenient for after.
In the step s 120, smile's sincerity degree corresponding with the micro- expression is obtained, and is obtained according to smile's sincerity degree
Target is taken to contribute money number.
It, can be by extracting the expressive features information in micro- expression, and according to expressive features in this example embodiment
Acquisition of information smile's sincerity degree corresponding with micro- expression.It, can be first before obtaining smile's sincerity degree corresponding with micro- expression
Establish the mapping model of expressive features information Yu smile's sincerity degree.The mapping model reflects expressive features information and smile is sincere
The corresponding relationship of degree, Fig. 2 shows the flow charts for the mapping model for establishing expressive features information and smile's sincerity degree, such as Fig. 2 institute
Show, the foundation of mapping model includes the following steps:
Step S210: the expressive features information of a variety of micro- expression samples is extracted, and according to the expressive features information to institute
It states micro- expression sample to score, to obtain the corresponding smile's sincerity degree of micro- expression sample.
In this example embodiment, it is based on micro- expression data library, feature extraction, feature are carried out to a variety of micro- expression samples
The main region of extraction includes corners of the mouth region, canthus region, cheek region and chin area etc., and correspondingly, the expression of acquisition is special
Reference breath mainly include the corners of the mouth raise up angle, eyes bending angle, cheek whether height and chin expansion degree etc..Micro- expressive features
The method of extraction can be LBP-TOP (Local Binary Pattern from Three Orthogonal Planes) spy
Levy extraction algorithm, optical flow method and filtering extraction method (Gabor).Further, according to expressive features information to micro- expression sample into
Row scoring, to obtain the corresponding smile's sincerity degree of micro- expression sample, Fig. 3 is shown according to expressive features information to micro- expression sample
It scores, to obtain the flow chart of the corresponding smile's sincerity degree of micro- expression sample, as shown in figure 3, obtaining micro- expression sample pair
The smile's sincerity degree answered includes step S310 to step S340, specific as follows:
Step S310: the quantity that the expressive features information in micro- expression sample is greater than preset threshold is obtained.
In this example embodiment, before the expressive features information of extraction and preset threshold are compared, root first
According to actual conditions, standard value, i.e. preset threshold are set for each expressive features information, such as expressive features when smiling can be believed
Breath is as preset threshold, etc..For same smile, the variation degree of expressive features is had differences, such as when smiling, is compared
In the bending degree of the corners of the mouth, eyes bending degree is smaller, therefore for different expressive features information, the setting of preset threshold is deposited
In difference.It is of course also possible to which a fixed preset threshold is arranged for each expressive features information, the disclosure does not do special limit to this
It is fixed.For example, table 1 shows each expressive features data and corresponding preset threshold, wherein obtains the corners of the mouth and raises up angle
When, it is to be obtained between the corners of the mouth and the line and the horizontal line of labrale inferius using crossing the horizontal line of labrale inferius as benchmark zero degree
Angle, the as corners of the mouth raise up angle；Correspondingly, eyes bending angle is canthus and upper informer midpoint line and excessively upper informer midpoint
Angle between horizontal line, chin expansion degree can pass through the distance between two cheek of measurement acquisition, etc..Based on each expression
The corresponding preset threshold of characteristic information obtains in micro- expression sample greater than the quantity of the expressive features information of corresponding preset threshold.
It should be noted that the setting of the preset threshold of each expressive features information can also be set by other standards, including but unlimited
Preset threshold setting method described in the disclosure.
Table 1
Step S320: the quantity is matched with multiple pre-set intervals, if the quantity is in a target pre-set interval
It is interior, it is determined that smile degree value corresponding with the target pre-set interval is target smile degree value.
In this example embodiment, before the quantity of the expressive features information of extraction is matched with pre-set interval,
The quantity that expressive features information is greater than to preset threshold is also needed to divide multiple pre-set intervals, and corresponding for the setting of each pre-set interval
Smile's degree value.For example, table 2 shows smile's degree value table, as shown in table 2, when the expressive features number of micro- expression sample
According to be greater than preset threshold quantity be 2 when, then smile's degree value 40 corresponding with the quantity be target smile degree value.
Table 2
| Pre-set interval | [0,3) | [3,6) | [6,9] |
| Smile's degree value | 40 | 70 | 100 |
Step S330: the corresponding weighted value of expressive features information for being greater than the preset threshold is obtained.
In this example embodiment, with continued reference to table 1, since each expressive features information spends when institute in calculating smile's sincerity
The weight accounted for has differences, for example, corners of the mouth bending degree can more embody the sincerity of smile compared to eyes bending degree
Degree, therefore corners of the mouth bending degree shared weight when calculating smile's sincerity and spending is higher.In this example embodiment, it can obtain
Expressive features information is taken to be greater than the weighted value of the expressive features information of preset threshold.
Step S340: it is scored according to the target smile degree value and the weighted value micro- expression, to obtain
Take the corresponding smile's sincerity degree of micro- expression sample.
In this example embodiment, the sum of corresponding weighted value of expressive features information is obtained first, and by that will obtain
The sum of the corresponding target smile degree value of micro- expression and the weighted value are multiplied, to obtain the corresponding smile's sincerity degree of the micro- expression.
Specifically, with continued reference to Tables 1 and 2, when the corners of the mouth raises up angle and eyes bending angle is greater than the preset threshold, then basis
Smile's degree value table determines that target smile's degree value is 40；Meanwhile it obtaining the corners of the mouth and raising up the weight of angle and eyes bending angle
Value is respectively 1/2 and 1/4, then according to target smile degree value and the corresponding weighted value of expressive features information, micro- expression is commented
It is divided into 30 (40 × (1/2+1/4)=30), i.e., the corresponding smile's sincerity degree of described micro- expression sample is 30.
Step S220: using the expressive features information as input vector, smile's sincerity degree is defeated as output vector
Enter to a machine learning model, the machine learning model is trained, and the trained machine learning model is made
For the mapping model of the expressive features information and smile's sincerity degree.
In this example embodiment, mapping model can be convolutional neural networks or depth residual error network etc., this field
Technical staff can use corresponding machine learning model according to demand, and the disclosure is not specifically limited in this embodiment.To engineering
When habit model is trained, expressive features information can be input to machine learning model with corresponding smile's sincerity degree, set
After the training parameters such as good learning rate, frequency of training, loss function and optimization aim, it can train automatically and obtain mapping model.
Step S130: number is contributed money according to the target and executes corresponding contribution operation.
In this example embodiment, before contributing money number according to target and executing corresponding contribution operation, it can obtain first
It takes the corresponding smile's sincerity degree of micro- expression sample and contributes money the corresponding relationship of number, it includes a large amount of micro- which, which can be,
The relation table of the corresponding smile's sincerity degree of expression sample and corresponding contribution number, according to the corresponding smile's sincerity degree of micro- expression and is somebody's turn to do
Mapping table can obtain target contribution number.For example, table 3 shows the corresponding smile's sincerity degree of micro- expression and phase
Mapping table between the contribution number answered.If smile's sincerity degree of the micro- expression obtained is 30, according to the mapping table,
Determine that target contribution number is 300 yuan.It should be noted that compared with listed by table 3, smile's sincerity degree for obtaining in practice and right
The contribution number answered can also be divided into more corresponding relationships, but based on the corresponding smile's sincerity degree of micro- expression and corresponding contribution
The method that mapping table between number obtains target contribution number is identical, therefore is repeated no more.In addition, micro- expression sample
This corresponding smile's sincerity degree and the corresponding relationship for contributing money number can also be based on the corresponding smile's sincerity degree of micro- expression sample
The machine learning model obtained with corresponding contribution number training, the machine learning model can be convolutional neural networks, depth
Residual error network, etc., the disclosure is not specifically limited in this embodiment.
Table 3
| Smile's sincerity degree | 20 | 30 | 40 | 50 |
| It contributes money number (member) | 200 | 300 | 400 | 500 |
In this example embodiment, the expressive features information of micro- expression available first；Then by the expressive features
Information input is believed with determining with the expressive features to the mapping model obtained based on expressive features information and the training of smile's sincerity degree
Cease corresponding smile's sincerity degree；Finally based on the corresponding relationship between smile's sincerity degree and corresponding contribution number, obtains target and contribute
Amount of money volume.Further, in smile's sincerity degree according to the expressive features acquisition of information user of user, and according to smile's sincerity
During degree obtains the corresponding contribution number of row, it can be believed by movable platform to the marketing that user pushes corresponding sponsor
Breath also can be used family by participation activity, improve the cognition degree to sponsor；User is set to realize battalion in the state of without discovering
Pin, realizes micro- Expression Recognition technology, public welfare activities and the combination of marketing, makes the user's participation and public good of public welfare activities
The dual promotion of marketing effectiveness.
In addition, additionally providing a kind of money donation device based on micro- Expression Recognition in this example embodiment.Referring to Fig. 4
Shown, being somebody's turn to do the money donation device 400 based on micro- Expression Recognition may include: expression acquisition module 410, obtains module 420 and behaviour
Make execution module 430.Specifically,
Expression acquisition module 410, for acquiring micro- expression of user；
Module 420 is obtained, for obtaining smile's sincerity degree corresponding with the micro- expression, and according to smile's sincerity degree
It obtains target and contributes money number；
Operation executing module 430, for executing corresponding contribution operation according to target contribution number.
Since each functional module of the money donation device based on micro- Expression Recognition of disclosure embodiment is based on above-mentioned
It is identical in the invention embodiment of the contributing device of micro- Expression Recognition, therefore details are not described herein.
In addition, in an exemplary embodiment of the disclosure, additionally provides a kind of computer that can be realized the above method and deposit
Storage media.It is stored thereon with the program product that can be realized this specification above method.In some possible embodiments, this public affairs
The various aspects opened are also implemented as a kind of form of program product comprising program code, when described program product is at end
When running in end equipment, said program code is for making the terminal device execute above-mentioned " illustrative methods " part of this specification
Described in exemplary embodiments various according to the disclosure the step of.
Refering to what is shown in Fig. 5, the program product 500 according to an embodiment of the present disclosure for realizing the above method is described,
It can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device, such as
It is run on PC.However, the program product of the disclosure is without being limited thereto, in this document, readable storage medium storing program for executing, which can be, appoints
What include or the tangible medium of storage program that the program can be commanded execution system, device or device use or and its
It is used in combination.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with any combination of one or more programming languages come write for execute the disclosure operation program
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, in an exemplary embodiment of the disclosure, additionally providing a kind of electronic equipment that can be realized the above method.
Person of ordinary skill in the field is it is understood that various aspects of the disclosure can be implemented as system, method or program product.
Therefore, various aspects of the disclosure can be with specific implementation is as follows, it may be assumed that complete hardware embodiment, complete software are real
The embodiment combined in terms of applying example (including firmware, microcode etc.) or hardware and software, may be collectively referred to as " circuit ", " mould here
Block " or " system ".
The electronic equipment 600 of this embodiment according to the disclosure is described referring to Fig. 6.The electronics that Fig. 6 is shown is set
Standby 600 be only an example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
As shown in fig. 6, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to: at least one above-mentioned processing unit 610, at least one above-mentioned storage unit 620, the different system components of connection
The bus 630 of (including storage unit 620 and processing unit 610), display unit 640.
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 610
Row, so that various according to the disclosure described in the execution of the processing unit 610 above-mentioned " illustrative methods " part of this specification
The step of exemplary embodiment.
Storage unit 620 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 6201 and/or cache memory unit 6202, it can further include read-only memory unit (ROM) 6203.
Storage unit 620 can also include program/utility with one group of (at least one) program module 6206
6204, such program module 6206 includes but is not limited to: operating system, one or more application program, other program moulds
It may include the realization of network environment in block and program data, each of these examples or certain combination.
Bus 630 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be with one or more external equipments 700 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 600 communicate, and/or with make
Any equipment (such as the router, modulation /demodulation that the electronic equipment 600 can be communicated with one or more of the other calculating equipment
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 660.Also, electronic equipment 600 can be with
By network adapter 660 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.As shown, network adapter 660 is communicated by bus 630 with other modules of electronic equipment 600.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 600, including but not
Be limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and
Data backup storage system etc..
By the description of above embodiment, those skilled in the art is it can be readily appreciated that example embodiment described herein
It can also be realized in such a way that software is in conjunction with necessary hardware by software realization.Therefore, implemented according to the disclosure
The technical solution of example can be embodied in the form of software products, which can store in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a calculating equipment (can
To be personal computer, server, terminal installation or network equipment etc.) it executes according to the method for the embodiment of the present disclosure.
In addition, above-mentioned attached drawing is only the schematic theory of the processing according to included by the method for disclosure exemplary embodiment
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.The disclosure is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (10)
1. a kind of contributing device based on micro- Expression Recognition characterized by comprising
Acquire micro- expression of user；
Smile's sincerity degree corresponding with the micro- expression is obtained, and target contribution number is obtained according to smile's sincerity degree；
Number, which is contributed money, according to the target executes corresponding contribution operation.
2. the contributing device according to claim 1 based on micro- Expression Recognition, which is characterized in that in micro- table of acquisition user
Before feelings, the method also includes:
Extract the expressive features information of a variety of micro- expression samples, and according to the expressive features information to micro- expression sample into
Row scoring, to obtain the corresponding smile's sincerity degree of micro- expression sample；
Using the expressive features information as input vector, smile's sincerity degree is input to an engineering as output vector
Model is practised, the machine learning model is trained, and is special using the trained machine learning model as the expression
The mapping model of reference breath and smile's sincerity degree.
3. the contributing device according to claim 2 based on micro- Expression Recognition, which is characterized in that the expressive features information
It raises up one of angle, eyes bending angle, cheek height of projection, chin expansion degree or a variety of including the corners of the mouth；
The expressive features information for extracting a variety of micro- expression samples, and according to the expressive features information to micro- expression into
Row scoring, to obtain the corresponding smile's sincerity degree of micro- expression sample, comprising:
Obtain the quantity that the expressive features information in micro- expression sample is greater than preset threshold；
The quantity is matched with multiple pre-set intervals, if the quantity is in a target pre-set interval, it is determined that with institute
Stating the corresponding smile degree value of target pre-set interval is target smile degree value；
Obtain the corresponding weighted value of expressive features information for being greater than the preset threshold；
It is scored according to the target smile degree value and the weighted value micro- expression, to obtain micro- expression sample
This corresponding smile's sincerity degree.
4. the contributing device according to claim 3 based on micro- Expression Recognition, which is characterized in that described according to the target
Smile degree value and the weighted value score to micro- expression, sincere to obtain the corresponding smile of micro- expression sample
Degree, comprising:
Obtain the sum of corresponding weighted value of the expressive features information；
The sum of described weighted value and the target smile degree value are accumulated, it is sincere to obtain the corresponding smile of micro- expression
Degree.
5. the contributing device according to claim 2 based on micro- Expression Recognition, which is characterized in that obtain and micro- expression
Corresponding smile's sincerity degree, and target is obtained according to smile's sincerity degree and contributes money number, comprising:
It obtains the corresponding smile's sincerity degree of micro- expression sample and contributes money the corresponding relationship of number；
The target, which is obtained, according to micro- corresponding smile's sincerity degree of expression and the corresponding relationship contributes money number.
6. the contributing device according to claim 5 based on micro- Expression Recognition, which is characterized in that according to micro- expression pair
The smile's sincerity degree answered and the corresponding relationship obtain the target and contribute money number, comprising:
Obtain the expressive features information of micro- expression；
The expressive features information input that will acquire is corresponding with the expressive features information with determination to the mapping model
Smile's sincerity degree；
Based on the corresponding relationship between smile's sincerity degree and the contribution number, the target contribution number is obtained.
7. the contributing device according to any one of claims 1 to 6 based on micro- Expression Recognition, which is characterized in that described to adopt
Collect micro- expression of user, comprising:
Receive the micro- expression for the user that user uploads in movable platform；Alternatively,
The camera of subscriber terminal equipment is called to take pictures, to obtain micro- expression of the user；Alternatively,
The micro- expression provided by campaign owners acquires micro- expression that equipment obtains the user.
8. a kind of money donation device based on micro- Expression Recognition, which is characterized in that described device includes:
Expression acquisition module, for acquiring micro- expression of user；
Module is obtained, for obtaining smile's sincerity degree corresponding with the micro- expression, and according to smile's sincerity degree acquisition mesh
Mark contribution number；
Operation executing module executes corresponding contribution operation for contributing money number according to the target.
9. a kind of storage medium, is stored thereon with computer program, the computer program realizes basis when being executed by processor
Contributing device based on micro- Expression Recognition described in any one of claims 1 to 7.
10. a kind of electronic equipment characterized by comprising
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to come described in any one of perform claim requirement 1 to 7 via the execution executable instruction
The contributing device based on micro- Expression Recognition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910003249.0A CN109858377A (en) | 2019-01-03 | 2019-01-03 | Contributing device, device, storage medium and electronic equipment based on micro- Expression Recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910003249.0A CN109858377A (en) | 2019-01-03 | 2019-01-03 | Contributing device, device, storage medium and electronic equipment based on micro- Expression Recognition |
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| CN109858377A true CN109858377A (en) | 2019-06-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910003249.0A Pending CN109858377A (en) | 2019-01-03 | 2019-01-03 | Contributing device, device, storage medium and electronic equipment based on micro- Expression Recognition |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101360219A (en) * | 2008-09-03 | 2009-02-04 | 深圳市同洲电子股份有限公司 | Method, system and terminal for charity donation using digital television |
| CN107798318A (en) * | 2017-12-05 | 2018-03-13 | 四川文理学院 | The method and its device of a kind of happy micro- expression of robot identification face |
-
2019
- 2019-01-03 CN CN201910003249.0A patent/CN109858377A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101360219A (en) * | 2008-09-03 | 2009-02-04 | 深圳市同洲电子股份有限公司 | Method, system and terminal for charity donation using digital television |
| CN107798318A (en) * | 2017-12-05 | 2018-03-13 | 四川文理学院 | The method and its device of a kind of happy micro- expression of robot identification face |
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