CN110298683A - Information popularization method, apparatus, equipment and medium based on micro- expression - Google Patents
Information popularization method, apparatus, equipment and medium based on micro- expression Download PDFInfo
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Abstract
The invention discloses a kind of information popularization method, apparatus, equipment and media based on micro- expression, the described method includes: being monitored using preset monitoring system to target area, obtain the facial image of each user and the dynamic location information of user, after the video data for receiving user's browse service product, video data is analyzed using micro- Expression Recognition model, obtains user to the interest-degree of service product；And when interest-degree of the user to service product is more than preset interest threshold, using the facial image of the user as target facial image, using the service product as target service product, simultaneously, obtain the dynamic location information of the corresponding user of target facial image, the dynamic location information of target facial image, target service product and user is sent to client, so that it is determined that the interested user of product and the interested product of user, so that business personnel accurately pushes relevant product information, the recommendation accuracy of product information is improved.
Description
Technical field
The present invention relates to micro- Expression Recognition technical field more particularly to a kind of information popularization methods based on micro- expression, dress
It sets, equipment and medium.
Background technique
User online under solid shop/brick and mortar store transacting business when, usually can be during waiting in line business handling to solid shop/brick and mortar store
The product of release is browsed or is experienced, and the staff in solid shop/brick and mortar store can not timely and accurately obtain because the volume of the flow of passengers is larger
Know that who user is interested in product, causes staff that cannot provide service to target user in time.Meanwhile in work people
When member is user's products Presentation, since the information to strange user grasps deficiency, also user can not be pointedly introduced for user
Interested product is not high so as to cause the accuracy of Products Show.
Summary of the invention
A kind of information popularization method, apparatus, equipment and medium based on micro- expression is provided in the embodiment of the present invention, to solve
Can not promptly and accurately identify in physical operating place to the interested user of product and the interested product of user, cause to
The not high problem of the accuracy of family progress product information recommendation.
A kind of information popularization method based on micro- expression, comprising:
Target area is monitored using preset monitoring system, obtains the people of each user in the target area
The dynamic location information of face image and the user in the target area；
Receive the video data for user's browse service product that preset product photographic device is collected, wherein each
The video data accordingly records the video information for browsing a kind of each of the service product user；
Each video data is analyzed using preset micro- Expression Recognition model, obtains the video data packet
Micro- expression type of the user contained, and according to micro- expression type of the user, the user is assessed to each institute
State the interest-degree of the corresponding service product of video data；
If the user is more than preset interest threshold to the interest-degree of the service product, the described of the user is obtained
Facial image is as target facial image, and obtains the service product as target service product；
It is corresponding that the target facial image is obtained in the preset monitoring system according to the target facial image
The dynamic location information of the user in the target area；
The dynamic location information of the target facial image, the target service product and the user is sent to
Client, so that according to the dynamic location information of the user to navigate to the target facial image corresponding by business personnel
User, and the product information of the target service product is pushed to the user.
A kind of information popularization device based on micro- expression, comprising:
Video monitoring module obtains the target area for being monitored using preset monitoring system to target area
The dynamic location information of the facial image of each user in domain and the user in the target area；
Data reception module, for receiving the view for user's browse service product that preset product photographic device is collected
Frequency evidence, wherein each video data accordingly records the view for browsing a kind of each of the service product user
Frequency information；
Data analysis module, for being analyzed using preset micro- Expression Recognition model each video data,
The micro- expression type for the user that the video data includes is obtained, and according to micro- expression type of the user, is commented
The user is estimated to the interest-degree of the corresponding service product of each video data；
Goal verification module, if being more than preset interest threshold for interest-degree of the user to the service product,
The facial image of the user is then obtained as target facial image, and obtains the service product and is produced as target service
Product；
Position acquisition module, for obtaining the mesh in the preset monitoring system according to the target facial image
The corresponding user of facial image is marked in the dynamic location information of the target area；
Information sending module, for will be described in the target facial image, the target service product and the user
Dynamic location information is sent to client so that business personnel navigated to according to the dynamic location information of the user it is described
The corresponding user of target facial image, and the product information of the target service product is pushed to the user.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize that the above-mentioned information based on micro- expression pushes away when executing the computer program
Wide method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes the above-mentioned information popularization method based on micro- expression when being executed by processor.
Above-mentioned information popularization method, apparatus, equipment and medium based on micro- expression, by using preset monitoring system pair
Target area is monitored, obtain target area in each user facial image and user target area dynamic position
Information；After receiving the video data of user's browse service product of product photographic device collection, micro- Expression Recognition mould is used
Type analyzes each video data, and assessment obtains user to the interest-degree of each service product；And in user to business
When the interest-degree of product is more than preset interest threshold, target facial image is set by the facial image of the user, and will
The service product is set as target service product, meanwhile, the corresponding use of target facial image is obtained in preset monitoring system
The dynamic location information of target facial image, target service product and user is sent to client by the dynamic location information at family.
It is analyzed, can precisely be efficiently identified by the video data of the user's browse service product acquired to product photographic device
Out in the target area to the interested user of service product and the interested service product of the user, and from monitoring system
The middle dynamic location information for obtaining user, so that business personnel can mention in time for target user according to the location information of user
It for service, and is provided according to target service product for target user and is targetedly serviced, to improve the recommendation of product information
Accuracy.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of the information popularization method in one embodiment of the invention based on micro- expression；
Fig. 2 is a flow chart of the information popularization method in one embodiment of the invention based on micro- expression；
Fig. 3 is a specific flow chart of step S3 in Fig. 2；
Fig. 4 is a specific flow chart of step S32 in Fig. 3；
Fig. 5 is that the shorter video of video recording duration is deleted in information popularization method in one embodiment of the invention based on micro- expression
One specific flow chart of data；
Fig. 6 is a specific flow chart of step S6 in Fig. 2；
Fig. 7 is a functional block diagram of the information popularization device in one embodiment of the invention based on micro- expression；
Fig. 8 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Information popularization method provided by the embodiments of the present application based on micro- expression, can be applicable in the application environment such as Fig. 1,
The application environment includes server-side, client and monitoring client, wherein it is attached between server-side and client by network,
It is attached between server-side and monitoring client by network.Server-side divides the video data of user's browse service product
Analysis, obtains target facial image and target service product, and the dynamic location information of user is obtained from monitoring client, by target person
Face image, target service product and dynamic location information are sent to client.Client specifically can be, but not limited to be various
People's computer, laptop, smart phone, tablet computer and portable wearable device, monitoring client specifically can be with independently
The server cluster of server perhaps multiple servers composition realize that server-side can specifically use independent server or more
The server cluster of a server composition is realized.Information popularization method provided in an embodiment of the present invention based on micro- expression is applied to
Server-side.
In one embodiment, Fig. 2 shows a flow chart of the information popularization method in the present embodiment based on micro- expression, the party
Method applies the server-side in Fig. 1, analyzes, is obtained to service product for the video data to user's browse service product
Interested user and the interested service product of the user, improve the recommendation accuracy of product information.As shown in Fig. 2, the base
Include step S1 to step S6 in the information popularization method of micro- expression, details are as follows:
S1: being monitored target area using preset monitoring system, obtains the people of each user in target area
The dynamic location information of face image and user in target area.
In the present embodiment, preset monitoring system refers to by using preparatory mounted photographic device and monitoring software
The monitoring system combined is recorded a video for the real time status to the target area in solid shop/brick and mortar store, solid shop/brick and mortar store refer to shopping centre,
The commercial undertakings such as bank outlets or place of business, target area refer to the service area in solid shop/brick and mortar store.
Specifically, there is pre-configured monitoring system in solid shop/brick and mortar store, each service area in solid shop/brick and mortar store is carried out
Monitoring, for improving the safety of user and commodity.User is after entering target area, preset monitoring system meeting in solid shop/brick and mortar store
Crawler behavior to each user in target area is monitored video recording, obtains the face figure of each user in target area
The dynamic location information of picture and user in target area, wherein dynamic location information refers to user in the real-time position of target area
It sets.
Further, preset monitoring system can be by using preset human face recognition model to entrance target area
User carries out recognition of face, which is image or the machine of the face information in video for identification
Model, the face being able to detect in simultaneously locating and monitoring video recording, returns to high-precision face frame, so that identification obtains every user's
Facial image.
Preferably, preset monitoring system can be every user's after identification obtains the facial image of every user
Facial image distributes a corresponding unique identifier, the unique identifier can user in unique identification target area, should
Unique identifier specifically can be number, be also possible to letter, is also possible to number and the alphabetical ID etc. combined, does not do herein
Limitation.After distributing unique identifier for every user, preset monitoring system can be by the reality of user in the target area
When position be mapped to real time position of the corresponding unique identifier of the user in the corresponding two-dimensional map in target area, so as to clear
Show to Chu every user in the dynamic location information of target area.
S2: the video data for user's browse service product that preset product photographic device is collected is received, wherein each view
Frequency browses the video information of each user of service product a kind of according to accordingly record.
Specifically, taking the photograph on the product frame or electric advertisement screen that preset product photographic device is mounted in solid shop/brick and mortar store
As device, the camera in the preset product photographic device is fixed camera, for wide to product frame or electronics
The imaging area for accusing the front of screen carries out the acquisition of video data, wherein and each product frame is served only for one service product of display,
Each page in electric advertisement screen accordingly shows that a service product, each service product have preset product number.
Specifically, if there is user to browse the service product in product frame or electric advertisement screen, preset product camera shooting
Device can acquire the video data of user's browse service product, and by collected video data transmission to server-side, service
End receives preset product photographic device by network and sends video data.
For example, working as preset product photographic device in product frame has detected that face information enters imaging area, it is preset
Product photographic device will start the video data of recording user's browse service product, if detecting, the face information leaves imaging region
Domain then stops recorded video data, and the product number of the service product in product frame and video data is accordingly transferred to
Server-side.
S3: each video data is analyzed using preset micro- Expression Recognition model, obtains what video data included
Micro- expression type of user, and according to micro- expression type of user, user is assessed to the corresponding service product of each video data
Interest-degree.
Wherein, micro- expression of the process of user's browse service product is recorded in video data, micro- expression refers to the face of people
Expressive features, the slight expression of the impression for expressing personage's heart, to micro- table of user's browse service product in video data
Whether feelings are analyzed, can assess to obtain user interested in the service product.
Specifically, the analysis method of micro- expression can carry out analysis identification user's using preset micro- Expression Recognition model
Micro- expression type, preset micro- Expression Recognition model are the machine moulds of micro- expression for analysis trained in advance.Make
Each video data is analyzed with preset micro- Expression Recognition model, obtains the micro- expression for the user that video data includes
Type can learn user to the industry according to the different relationships for presetting micro- expression type and product fancy grade is pre-defined
The fancy grade of business product, and the fancy grade is evaluated as user to the interest of the corresponding service product of each video data
Degree.
Preferably, micro- expression type includes but is not limited to 6 seed types such as glad, surprised, detest, angry, tranquil and disappointment
Micro- expression, also, preset micro- Expression Recognition model can specifically acquire in advance and respectively represent the big of this 6 kinds micro- expression types
Amount samples pictures are labeled, and form samples pictures collection, corresponding neural network model is then selected to be trained, such as: volume
Product neural network model or long recurrent neural networks model etc. in short-term, to obtain preset micro- Expression Recognition model.Alternatively,
The great amount of samples video that acquisition respectively represents this 6 kinds of moods in advance is labeled, and is formed Sample video collection, is then selected corresponding
Neural network model is trained, and finally obtains preset micro- Expression Recognition model.
S4: if user is more than preset interest threshold to the interest-degree of service product, the facial image of the user is obtained
As target facial image, and the service product is obtained as target service product.
Specifically, preset interest threshold is number of the pre-set expression user to the interest level of service product
Value, whether interested in the service product for distinguishing user, which can be set according to the needs of practical application
It sets, herein with no restrictions.
It is understood that indicating user to this when interest-degree of the user to service product is more than preset interest threshold
Service product is interested, and when interest-degree of the user to service product is no more than preset interest threshold, user is to the business for expression
Product is less interested.
Specifically, it if user is more than preset interest threshold to the interest-degree of service product, can determine that the user is
To service product, there are the users of the product information to be recommended of demand, and obtain the facial image of the user as target face figure
Picture, and the service product is obtained as target service product, so as to which the hobby and demand for user carry out product letter
The recommendation of breath improves the recommendation success rate of service product.
S5: the corresponding user of target facial image is obtained in preset monitoring system according to target facial image in target
The dynamic location information in region.
Specifically, server-side can inquire target facial image pair according to target facial image in preset monitoring system
The user answered is in the real time position of target area, and real-time update user is in the real time position of target area, it can obtains mesh
The corresponding user of facial image is marked in the dynamic location information of target area.
For example, target area mapping is become a two-dimensional plane map in advance by preset monitoring system, and using only
One identifier indicates position of the user in map, and server-side is according to the corresponding unique identifier of target facial image, default
Monitoring system monitoring video in navigate to the user rapidly, and the real time position by the user in target area is mapped to this
Location information of the corresponding unique identifier of user in the corresponding plane map in target area, to obtain user in target area
The dynamic location information in domain.
S6: the dynamic location information of target facial image, target service product and user is sent to client, so that industry
Business personnel navigate to the corresponding user of target facial image according to the dynamic location information of user, and by the production of target service product
Product information is pushed to the user.
Specifically, server-side is by the dynamic location information business information of target facial image, target service product and user,
Business information is sent to client, so that business personnel determines the user's according to the dynamic location information of user in client
Real time position, and after reaching corresponding position, the user of product information to be recommended is confirmed according to target facial image, meanwhile,
The information for needing to recommend the user is determined according to target service product, and the product information of target service product is pushed to the use
Family.Wherein, client, which specifically can be, but not limited to, is various computers, smart phone, tablet computer and portable wearable sets
It is standby.
For example, business personnel receives the business information of server-side transmission in the tablet computer that bank outlets distribute, it should
Business information includes the dynamic location information of target facial image, target service product and user, and business personnel is clicking opening
After business information, user can be reached according to the dynamic location information of user at present in the position of bank outlets, and use target
Facial image confirms the user of product information to be recommended, to introduce the product information of target service product to user.
In the corresponding embodiment of Fig. 2, target area is monitored by using preset monitoring system, obtains target
The dynamic location information of the facial image of each user in region and user in target area；Receiving product photographic device
After the video data of user's browse service product of collection, each video data is analyzed using micro- Expression Recognition model,
Assessment obtains user to the interest-degree of each service product；It and is more than preset interest in interest-degree of the user to service product
When threshold value, target facial image is set by the facial image of the user, and set target service for the service product and produce
Product, meanwhile, the dynamic location information of the corresponding user of target facial image is obtained in preset monitoring system, by target face
The dynamic location information of image, target service product and user is sent to client.Pass through the use acquired to product photographic device
The video data of family browse service product is analyzed, and can precisely be efficiently identified out in the target area to service product sense
The user of interest and the interested service product of the user, and from monitoring system obtain user dynamic location information, with
Just business personnel can provide service in time according to the location information of user for target user, and according to target service product
It provides for target user and targetedly services, to improve the recommendation accuracy of product information.
In one embodiment, the present embodiment provides use preset micro- Expression Recognition model pair to mentioned in step S3
Each video data is analyzed, and obtains the micro- expression type for the user that video data includes, and according to micro- expression class of user
The concrete methods of realizing of the interest-degree of the corresponding service product of each video data is described in detail in type, assessment user.
Referring to Fig. 3, Fig. 3 shows a specific flow chart of step S3, details are as follows:
S31: being directed to each video data, extracts frequency according to preset frame and extracts video frame images from video data.
Specifically, server-side is extracted frequency according to preset frame and is handled collected video data, from the video
The predeterminated position of data starts to extract frame image, obtains video frame images, reduces the interference of redundant frame and improves in image
The recognition speed of micro- expression, wherein the preset frame extracts frequency and usually can be set to extract at random in per continuous 3 frame image
1 frame image, but it is not limited to this, and preset frame extracts frequency and can be configured according to the needs of practical application, the default position
The first frame position that can be video data is set, is also possible to other positions, herein with no restrictions.
For example, it is assumed that it is to extract 1 frame image at random in every continuous 5 frame image that preset frame, which extracts frequency, if video data
Totalframes be 500 frames, and extracted since the first frame of the video data, then the quantity of video frame images is 100 frames.
S32: micro- Expression Recognition processing is carried out to each video frame images using preset micro- Expression Recognition model, is obtained every
Micro- expression type of user in a video frame images.
Specifically, preset micro- Expression Recognition model carries out human facial feature extraction to each video frame images of input, and
According to micro- expression type of the expressive features identification user extracted, micro- expression type include but is not limited to it is glad, surprised, detest
Micro- expression of the types such as evil, angry, tranquil and disappointment, so that identification obtains micro- expression class of the user in each video frame images
Type.
S33: micro- expression type of counting user belongs to the number of preset positive expression, calculates the positive expression of user
Number accounts for the ratio of video frame images sum, and produces using the ratio being calculated as user to the corresponding business of video data
The interest-degree of product.
Wherein, preset positive expression refers to that micro- expression type indicates that user holds with just the attitude of service product
To micro- expression of intention, for example, can be in advance that glad and surprised micro- expression is set as preset forward direction by micro- expression type
Expression, but it is not limited to this, can specifically be configured according to the actual situation, herein with no restrictions.
Specifically, for server-side according to micro- expression type of user in video frame images, obtaining indicates user to service product
Preset positive expression with positive intention, and micro- expression type of counting user belongs to the number of preset positive expression,
The number for calculating the positive expression of user accounts for the ratio of video frame images sum, and using the ratio being calculated as user couple
The interest-degree of the corresponding service product of video data, for indicating user to the interest level of service product.
For example, obtaining 500 video frame figures after a video data extracts frequency progress image zooming-out according to preset frame
Picture obtains after server-side carries out the discriminance analysis of micro- expression using preset micro- Expression Recognition model to each video frame images
Belong to the view of preset positive expression to micro- expression type of micro- expression type of each video frame images user, and user
Frequency frame image has 100, then it is 20% to the interest-degree of service product that user, which can be calculated,.
In the corresponding embodiment of Fig. 3, video frame figure is extracted from video data by extracting frequency according to preset frame
Picture can reduce the interference of redundant frame and improve the recognition speed to micro- expression in image.Server-side uses preset micro- table
Feelings identification model carries out micro- Expression Recognition processing to each video frame images, obtains micro- table of the user in each video frame images
Feelings type, and micro- expression type of counting user belongs to the number of preset positive expression, according to of the positive expression of user
Several and video frame images sums calculate users to the interest-degree of service product, so as to according to user in browse service product
Process micro- expression, learn user to the fancy grade of different product, can intuitively, efficiently determine that business to be recommended produces
Product ensure that the accuracy of Products Show.
In one embodiment, the present embodiment provides to mentioned in step S32 using preset micro- Expression Recognition model
Micro- Expression Recognition processing is carried out to each video frame images, obtains the tool of micro- expression type of the user in each video frame images
Body implementation method is described in detail.
Referring to Fig. 4, Fig. 4 shows a specific flow chart of step S32, details are as follows:
S321: using preset micro- Expression Recognition model from the micro- expression for extracting each user in each video frame images
Motor unit type and motor unit sequence.
Specifically, preset micro- Expression Recognition model carries out human facial feature extraction from video frame images, according to fixed in advance
The type of the good motor unit (Action Units, AU) of justice identifies that identification obtains user's to the expressive features of user
The motor unit for including in micro- expression, and the arrangement of the sequencing occurred in micro- expression according to motor unit determines that movement is single
The sequence of member.Wherein, the corresponding specific motor unit of the type of each motor unit, the type of motor unit specifically can be with
19 kinds of motor units including but not limited to as shown in Table 1.
Table one
| AU label | AU description |
| AU1 | Interior eyebrow raises up |
| AU2 | Outer eyebrow raises up |
| AU4 | Eyebrow pushes |
| AU5 | On the face raises up |
| AU6 | Cheek lifts |
| AU7 | Eyelid tightening |
| AU9 | Nose crease |
| AU10 | Upper lip raises up |
| AU12 | The corners of the mouth raises up |
| AU14 | Tighten the corners of the mouth |
| AU15 | Corners of the mouth drop-down |
| AU16 | Lower lip pushes |
| AU17 | Chin tightens |
| AU18 | Lip fold |
| AU20 | Lip stretching, extension |
| AU23 | Lip is shunk |
| AU24 | Lip compresses |
| AU25 | Upper lower lip separates |
| AU26 | Lower jaw drop-down |
S322: according to the sequence of the type of motor unit and motor unit, micro- expression type of each user is determined.
Specifically, the class of motor unit corresponding to micro- expression type is pre-defined in preset micro- Expression Recognition model
Type and sequence, preset micro- Expression Recognition model can determine micro- according to the combination of the type and sequence of the motor unit extracted
The type of expression, micro- expression type include but is not limited to micro- table of the types such as glad, surprised, detest, angry, tranquil and disappointment
The type and sequence of motor unit corresponding to feelings, micro- expression type and micro- expression type can specifically carry out according to the actual situation
Setting, herein with no restrictions.
It should be noted that micro- expression can only include one from micro- expression of the user extracted in video frame images
The motor unit of seed type also may include a plurality of types of motor units, can specifically be determined according to the actual situation.Example
It such as, include motor unit AU1 (interior eyebrow raises up) and motor unit AU12 (corners of the mouth raises up) in the one of user micro- expression, then according to pre-
If micro- Expression Recognition model in pre-define the type and sequence of motor unit corresponding to micro- expression type, can determine
The type of micro- expression is happiness.
In the corresponding embodiment of Fig. 4, mentioned from each video frame images by using preset micro- Expression Recognition model
The type of the motor unit in micro- expression of each user and the sequence of motor unit are taken, according to the type and movement of motor unit
The sequence of unit determines micro- expression type of each user, so that micro- expression progress to the user in video frame images is thinner
The feature extraction and analysis of cause effectively improve the accuracy of micro- Expression Recognition result.
In one embodiment, the information popularization method provided in this embodiment based on micro- expression can also to video recording duration compared with
Short video data carries out delete processing, and details are as follows:
As shown in figure 5, upon step s 2, and before step S3, the decision-making technique of the risk information further include as
Lower step:
S71: the video recording duration of video data is detected.
Specifically, server-side detects the video recording duration of video data, obtains each after receiving video data
The video recording duration of video data is determined user to browse the video data corresponding will pass through the video recording duration of video data
The residence time of the product information of service product.
S72: if the video recording duration of video data is less than preset browsing duration threshold value, which is deleted
Processing.
Specifically, if the video recording duration of video data is less than preset browsing duration threshold value, it is determined that user is to video counts
Lose interest according to corresponding service product, the video data of collected user's browse service product is screened, by user
The uninterested video data of the corresponding service product of video data is deleted.Wherein, preset browsing duration threshold value is service
Hold preset user to service product possible interested most short residence time, such as 15 seconds etc., it specifically can be according to reality
Border situation is configured, herein without limitation.
It in the corresponding embodiment of Fig. 5, is detected by the video recording duration to video data, and by the record of video data
It is deleted as duration is less than the preset video data for browsing duration threshold value, user does not feel the corresponding service product of video data
The video data of interest filters out, and improves the efficiency obtained to the interested user of service product.
In one embodiment, the present embodiment provides to producing target facial image, target service mentioned in step S6
The concrete methods of realizing that the dynamic location information of product and user are sent to client is described in detail.
Referring to Fig. 6, Fig. 6 shows a specific flow chart of step S6, details are as follows:
S81: the working condition of the business personnel in query target region, wherein working condition includes busy condition and sky
Not busy state.
In the present embodiment, target area refers to the service area in solid shop/brick and mortar store, and one is pre-equipped in solid shop/brick and mortar store
The business personnel of fixed number amount carries out the recommended work of product information, and each business personnel possesses corresponding client, the client
Specifically it can be, but not limited to be laptop, smart phone, tablet computer and portable wearable device etc..
Specifically, the working condition of business personnel includes busy condition and idle state, and busy condition refers to business people
Member is carrying out the state of the recommended work of product information, and idle state refers to that the business personnel is currently in waiting to next bit
User carries out the state of the recommended work of product information.Business personnel needs business personnel when entering busy working condition
Working condition is identified as busy condition in its corresponding client, server-side can be according to every business people in target area
The working condition identified in the corresponding client of member, inquiry obtain the working condition of the business personnel in target area.
S82: if the working condition of business personnel is idle state, by target facial image, target service product and use
The dynamic location information at family is sent in the corresponding client of the business personnel, and using preset prompting mode to business personnel
It is prompted.
Specifically, if the working condition of business personnel be idle state, that is, indicate the business personnel be currently in waiting to
Next bit user carry out product information recommended work state, server-side then by target facial image, target service product and
The dynamic location information of user is sent in the corresponding client of the business personnel, and using preset prompting mode to business people
Member is prompted, and the mode which can be voice prompts, and the mode for being also possible to vibration prompts.So that
Business personnel determines the real time position of the user according to the dynamic location information of user in client, and reaches corresponding position
Afterwards, the product information of target service product is pushed to this by the user that product information to be recommended is confirmed according to target facial image
User.
In the corresponding embodiment of Fig. 6, by the working condition of the business personnel in query target region, and by target person
It is corresponding that the dynamic location information of face image, target service product and user is sent to the business personnel that working condition is idle state
Client in so that business personnel recommends the product information of the interested service product of the user to user, and being capable of root
The quantity or ability of business personnel are adjusted according to the working condition of business personnel.
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.
In one embodiment, a kind of information popularization device based on micro- expression is provided, it should the information popularization based on micro- expression
Information popularization method in device and above-described embodiment based on micro- expression corresponds.As shown in fig. 7, should the letter based on micro- expression
It includes: video monitoring module 71, data reception module 72, data analysis module 73, goal verification module 74, position that breath, which promotes device,
It sets and obtains module 75 and information sending module 76.Detailed description are as follows for each functional module:
Video monitoring module 71 obtains target area for being monitored using preset monitoring system to target area
In each user facial image and user target area dynamic location information；
Data reception module 72, for receiving the video for user's browse service product that preset product photographic device is collected
Data, wherein each video data accordingly records the video information for browsing a kind of each user of service product；
Data analysis module 73 is obtained for being analyzed using preset micro- Expression Recognition model each video data
The micro- expression type for the user for including to video data, and according to micro- expression type of user, user is assessed to each video counts
According to the interest-degree of corresponding service product；
Goal verification module 74 obtains if being more than preset interest threshold for interest-degree of the user to service product
The facial image of the user is as target facial image, and obtains the service product as target service product；
Position acquisition module 75, for obtaining target facial image in preset monitoring system according to target facial image
Dynamic location information of the corresponding user in target area；
Information sending module 76, for sending out the dynamic location information of target facial image, target service product and user
Client is given, so that business personnel navigates to the corresponding user of target facial image according to the dynamic location information of user, and
The product information of target service product is pushed to the user.
Further, data analysis module 73 includes:
Framing unit 731 extracts frequency according to preset frame and extracts from video data for being directed to each video data
Video frame images；
Recognition unit 732, for carrying out micro- expression knowledge to each video frame images using preset micro- Expression Recognition model
Other places reason, obtains micro- expression type of the user in each video frame images；
Computing unit 733, micro- expression type for counting user belong to the number of preset positive expression, calculate user
The number of positive expression account for the ratio of video frame images sum, and using the ratio being calculated as user to video data
The interest-degree of corresponding service product.
Further, recognition unit 732 includes:
Feature extraction subelement 7321, for being extracted from each video frame images using preset micro- Expression Recognition model
The type of motor unit in micro- expression of each user and the sequence of motor unit；
Expression confirms subelement 7322, for determining each use according to the type of motor unit and the sequence of motor unit
Micro- expression type at family.
Further, it is somebody's turn to do the information popularization device based on micro- expression further include:
Data detection module 77 is detected for the video recording duration to video data；
Data removing module 78, if the video recording duration for video data is less than preset browsing duration threshold value, to this
Video data carries out delete processing.
Further, information sending module 76 includes:
Status inquiry unit 761, the working condition for the business personnel in query target region, wherein working condition
Including busy condition and idle state；
Service informing unit 762, if for business personnel working condition be idle state, by target facial image,
The dynamic location information of target service product and user are sent in the corresponding client of business personnel, and are mentioned using preset
Show that mode prompts business personnel.
Specific restriction about the information popularization device based on micro- expression may refer to above for based on micro- expression
The restriction of information popularization method, details are not described herein.Modules in the above-mentioned information popularization device based on micro- expression can be complete
Portion or part are realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of calculating
In processor in machine equipment, it can also be stored in a software form in the memory in computer equipment, in order to processor
It calls and executes the corresponding operation of the above modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize a kind of information popularization method based on micro- expression.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor are realized in above-described embodiment when executing computer program based on micro- table
Step in the information popularization method of feelings, such as step S1 shown in Fig. 2 to step S6, alternatively, processor executes computer journey
The function of each module/unit of the information popularization device in above-described embodiment based on micro- expression, such as mould shown in Fig. 7 are realized when sequence
Block 71 to module 76 function.To avoid repeating, which is not described herein again.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program realizes the step in the information popularization method in above-described embodiment based on micro- expression, such as Fig. 2 when being executed by processor
Shown step S1 to step S6, alternatively, processor is realized in above-described embodiment when executing computer program based on micro- expression
The function of each module/unit of information popularization device, such as module 71 shown in Fig. 7 is to the function of module 76.To avoid repeating, this
In repeat no more.
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 be stored in 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,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
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 is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
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 is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, 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 should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of information popularization method based on micro- expression, which is characterized in that the information popularization method packet based on micro- expression
It includes:
Target area is monitored using preset monitoring system, obtains the face figure of each user in the target area
The dynamic location information of picture and the user in the target area；
Receive the video data for user's browse service product that preset product photographic device is collected, wherein each described
Video data accordingly records the video information for browsing a kind of each of the service product user；
Each video data is analyzed using preset micro- Expression Recognition model, obtaining the video data includes
Micro- expression type of the user, and according to micro- expression type of the user, the user is assessed to each view
Frequency according to corresponding service product interest-degree；
If the user is more than preset interest threshold to the interest-degree of the service product, the face of the user is obtained
Image is as target facial image, and obtains the service product as target service product；
It is corresponding described that the target facial image is obtained in the preset monitoring system according to the target facial image
The dynamic location information of the user in the target area；
The dynamic location information of the target facial image, the target service product and the user is sent to client
End, so that business personnel navigates to the corresponding use of the target facial image according to the dynamic location information of the user
Family, and the product information of the target service product is pushed to the user.
2. as described in claim 1 based on the information popularization method of micro- expression, which is characterized in that described to use preset micro- table
Feelings identification model analyzes each video data, obtains micro- expression type of the user, and according to the user
Micro- expression type, assess the user includes: to the interest-degree of each service product
For each video data, frequency is extracted according to preset frame and extracts video frame images from the video data；
Micro- Expression Recognition processing is carried out to each video frame images using preset micro- Expression Recognition model, is obtained every
Micro- expression type of the user in a video frame images；
The micro- expression type for counting the user belongs to the number of preset positive expression, calculates the positive expression of the user
Number accounts for the ratio of the video frame images sum, and using the ratio being calculated as the user to the video data
The interest-degree of corresponding service product.
3. as claimed in claim 2 based on the information popularization method of micro- expression, which is characterized in that described using described preset
Micro- Expression Recognition model carries out micro- Expression Recognition processing to each video frame images, obtains in each video frame images
Micro- expression type of the user includes:
Micro- table of each user is extracted from each video frame images using preset micro- Expression Recognition model
The sequence of the type of motor unit in feelings and the motor unit；
According to the sequence of the type of the motor unit and the motor unit, micro- expression type of each user is determined.
4. as described in claim 1 based on the information popularization method of micro- expression, which is characterized in that receive preset production described
After the video data for user's browse service product that product photographic device is collected, and preset micro- expression is used described
Identification model analyzes each video data, obtains the micro- expression class for the user that the video data includes
Type, and according to micro- expression type of the user, before assessing the user to the interest-degree of each service product,
The information popularization method based on micro- expression further include:
The video recording duration of the video data is detected；
If the video recording duration of the video data is less than preset browsing duration threshold value, which is carried out at deletion
Reason.
5. such as the described in any item information popularization methods based on micro- expression of Claims 1-4, which is characterized in that incited somebody to action described
The dynamic location information of the target facial image, the target service product and the user is sent to client packet
It includes:
Inquire the working condition of the business personnel in the target area, wherein the working condition includes busy condition and sky
Not busy state；
If the working condition of the business personnel is the idle state, by the target facial image, the target
The dynamic location information of service product and the user are sent in the corresponding client of the business personnel, and using default
Prompting mode the business personnel is prompted.
6. a kind of information popularization device based on micro- expression, which is characterized in that the information popularization device packet based on micro- expression
It includes:
Video monitoring module is obtained in the target area for being monitored using preset monitoring system to target area
Each user facial image and the user the target area dynamic location information；
Data reception module, for receiving the video counts for user's browse service product that preset product photographic device is collected
The video letter for browsing a kind of each of the service product user is accordingly recorded according to, wherein each video data
Breath；
Data analysis module is obtained for being analyzed using preset micro- Expression Recognition model each video data
The micro- expression type for the user that the video data includes, and according to micro- expression type of the user, assess institute
User is stated to the interest-degree of the corresponding service product of each video data；
Goal verification module obtains if being more than preset interest threshold for interest-degree of the user to the service product
It takes the facial image of the user as target facial image, and obtains the service product as target service product；
Position acquisition module, for obtaining the target person in the preset monitoring system according to the target facial image
The dynamic location information of the corresponding user of face image in the target area；
Information sending module, for by the dynamic of the target facial image, the target service product and the user
Location information is sent to client, so that business personnel navigates to the target according to the dynamic location information of the user
The corresponding user of facial image, and the product information of the target service product is pushed to the user.
7. as claimed in claim 6 based on the information popularization device of micro- expression, which is characterized in that the data analysis module packet
It includes:
Framing unit extracts frequency according to preset frame and mentions from the video data for being directed to each video data
Take video frame images；
Recognition unit, for carrying out micro- expression knowledge to each video frame images using preset micro- Expression Recognition model
Other places reason, obtains micro- expression type of the user in each video frame images；
Computing unit, micro- expression type for counting the user belong to the number of preset positive expression, calculate the use
The number of the positive expression at family accounts for the ratio of the video frame images sum, and using the ratio being calculated as the user
To the interest-degree of the corresponding service product of the video data.
8. as claimed in claim 7 based on the information popularization device of micro- expression, which is characterized in that the recognition unit includes:
Feature extraction subelement, for being extracted from each video frame images using preset micro- Expression Recognition model
The type of motor unit in micro- expression of each user and the sequence of the motor unit；
Expression confirms subelement, for determining each institute according to the type of the motor unit and the sequence of the motor unit
State micro- expression type of user.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Based on the information popularization method of micro- expression described in 5 any one.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In information of the realization based on micro- expression as described in any one of claim 1 to 5 pushes away when the computer program is executed by processor
Wide method.
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