CN109684978A - Employees'Emotions monitoring method, device, computer equipment and storage medium - Google Patents
Employees'Emotions monitoring method, device, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 230000036651 mood Effects 0.000 claims abstract description 203
- 230000002996 emotional effect Effects 0.000 claims description 40
- 238000004590 computer program Methods 0.000 claims description 27
- 239000000284 extract Substances 0.000 claims description 24
- 238000012790 confirmation Methods 0.000 claims description 15
- 238000012806 monitoring device Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 5
- 230000014509 gene expression Effects 0.000 abstract description 14
- 238000013473 artificial intelligence Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 3
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
Abstract
Emotion identification namely a kind of Employees'Emotions monitoring method, device, computer equipment and storage medium this application involves the bio-identification in artificial intelligence, in particular in micro- Expression Recognition.Method includes: to receive employee's video, and employee's image is extracted from employee's video；Obtain the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image；When Employees'Emotions score is lower than score threshold, then statistics is lower than the Employees'Emotions score corresponding mood period of score threshold；When the mood period being more than mood time threshold, then prompt information is sent to acquisition terminal.Employees'Emotions cannot timely and effectively be monitored without manually being analyzed Employees'Emotions using this method, it is ensured that monitor Employees'Emotions in time.
Description
Technical field
This application involves field of computer technology, set more particularly to a kind of Employees'Emotions monitoring method, device, computer
Standby and storage medium.
Background technique
With the development of society, the mood of different employees can be then concerned about in enterprise in order to improve employee work enthusiasm,
To guarantee the raising of staffing effectiveness.
It generally, is all by manually being analyzed in unified time, to obtain employee when carrying out Employees'Emotions analysis
Emotional information, lead to not monitor Employees'Emotions in time.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of Employees'Emotions that can monitor Employees'Emotions in time
Monitoring method, device, computer equipment and storage medium.
A kind of Employees'Emotions monitoring method, which comprises
Employee's video is received, and extracts employee's image from employee's video；
Obtain the corresponding Employees'Emotions score of the Employees'Emotions information for including in employee's image；
When the Employees'Emotions score is lower than score threshold, then statistics is lower than the Employees'Emotions of the score threshold
The score corresponding mood period；
When the mood period being more than mood time threshold, then prompt information is sent to the acquisition terminal.
It is in one embodiment, described to send prompt information to the acquisition terminal, comprising:
Inquire the corresponding Employees'Emotions grade of the Employees'Emotions score；
It when the Employees'Emotions grade is primary mood grade, then obtains pre-stored mood and encourages information, and by institute
Stating mood encourages information to be sent to the acquisition terminal；
When the Employees'Emotions grade is advanced mood grade, then worker's mark is inquired, and search and the member
The corresponding interest information of work identity；
Recommendation information corresponding with the interest information is searched, and the recommendation information is sent to the acquisition terminal.
In one embodiment, reception employee's video, and employee's image is extracted from employee's video, packet
It includes；
Worker's mark is obtained, the request of employee's video acquisition is sent to acquisition corresponding with worker mark
Terminal；
Receive the feedback information corresponding with video acquisition request that the acquisition terminal returns；
When the feedback information is confirmation acquisition image, then image to be matched is inquired；
Extract it is described confirmation acquisition image carry current face's image, and by current face's image and it is described to
It is matched with image；
When current face's image and the image to be matched successful match, then the acquisition terminal is received according to institute
Employee's video that the request of employee's video acquisition returns is stated, and extracts employee's image from employee's video.
In one embodiment, the method also includes:
The display request that the acquisition terminal is sent is received, carries display time interval in the display request；
Inquire whether the display time interval corresponds to Employees'Emotions score, when the time showing section corresponds to the member
When work mood score, then query display requests corresponding display mode；
According to the display mode, the mood score is shown.
In one embodiment, the method also includes:
Obtain employee's video acquisition duration and the Employees'Emotions score；
Mood total score is calculated according to employee's video acquisition duration and the Employees'Emotions score；
The sharing for sharing the mood total score is received to instruct, it is total according to sharing instruction and the mood
Score is generated to sharing information；
It is sent to sharing platform to sharing information by described, and receives the sharing that the sharing platform returns and successfully prompts
Information.
It is in one embodiment, described to obtain the Employees'Emotions score for including in employee's image, comprising:
It identifies the current emotional information for including in employee's image, and counts the corresponding employee of the current emotional information
The frame number of image；
According to the current emotional information and the frame number, the Employees'Emotions information is obtained；
Score corresponding with the Employees'Emotions information is inquired as Employees'Emotions score.
A kind of Employees'Emotions monitoring device, described device include:
Receiving module for receiving employee's video, and extracts employee's image from employee's video；
Module is obtained, for obtaining the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image；
Statistical module, for when the Employees'Emotions score is lower than score threshold, then statistics to be lower than the score threshold
The Employees'Emotions score corresponding mood period；
Sending module, for when the mood period being more than mood time threshold, then being sent to the acquisition terminal
Prompt information.
In one embodiment, the sending module, comprising:
First query unit, for inquiring the corresponding Employees'Emotions grade of the Employees'Emotions score；
First transmission unit, for when the Employees'Emotions grade is primary mood grade, then obtaining pre-stored feelings
Thread encourages information, and mood encouragement information is sent to the acquisition terminal；
Interest information query unit, for when the Employees'Emotions grade is advanced mood grade, then inquiring employee's body
Part mark, and search interest information corresponding with worker mark；
Second transmission unit for searching recommendation information corresponding with the interest information, and the recommendation information is sent out
It send to the acquisition terminal.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
The step of device realizes the above method when executing the computer program.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The step of above-mentioned method is realized when row.
Above-mentioned Employees'Emotions monitoring method, device, computer equipment and storage medium, without manually being carried out to Employees'Emotions
Analysis only need to receive employee's video so as to cause cannot timely and effectively monitor Employees'Emotions, and extract from employee's video
Employee's image obtains the corresponding Employees'Emotions score of Employees'Emotions information that employee's image includes, when Employees'Emotions score is lower than
When score threshold, then statistics is lower than the Employees'Emotions score corresponding mood period of score threshold, is more than when the mood period
When mood time threshold, then prompt information is sent to acquisition terminal, it is ensured that monitor Employees'Emotions in time.
Detailed description of the invention
Fig. 1 is the application scenario diagram of Employees'Emotions monitoring method in one embodiment；
Fig. 2 is the flow diagram of Employees'Emotions monitoring method in one embodiment；
Fig. 3 is the flow diagram of prompt information sending step in one embodiment；
Fig. 4 is Employees'Emotions score display figure in one embodiment；
Fig. 5 is the structural block diagram of Employees'Emotions monitoring device in one embodiment；
Fig. 6 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Employees'Emotions monitoring method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, it adopts
Collection terminal 102 is communicated by network with server 104.Server 104 obtains worker's mark, by employee's video acquisition
Request is sent to acquisition terminal 102 corresponding with worker's mark, receives requesting with video acquisition for the return of acquisition terminal 102
Corresponding feedback information receives the employee's video returned according to feedback information, and employee's image is extracted from employee's video, obtains
Employees'Emotions score corresponding to the Employees'Emotions information for including in employee's image, when Employees'Emotions score is more than score threshold
When, then statistics is more than the Employees'Emotions score corresponding mood period of score threshold, is more than the mood time when the mood period
When threshold value, then prompt information is sent to acquisition terminal 102.Wherein, acquisition terminal 102 can be, but not limited to be various individual calculus
Machine, laptop, smart phone, tablet computer and portable wearable device, server 104 can use independent server
The either server cluster of multiple servers composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of Employees'Emotions monitoring method, it is applied to Fig. 1 in this way
In server for be illustrated, comprising the following steps:
S202: receiving employee's video, and employee's image is extracted from employee's video.
Specifically, employee's video refers to the video that acquisition terminal collects, so that server can analyze employee's video
In Employees'Emotions.Specifically, acquisition terminal can receive acquisition instructions, acquire employee's video according to acquisition instructions, acquisition refers to
Order can be the prompt information shown before being acquired every time, and user refers to according to the acquisition that prompt information carries out confirmation generation
It enables, the prompt information that can also be shown when being acquired for the first time, the prompt information that user shows when being acquired according to first time
The default for carrying out operation generation agrees to acquisition instructions, when generation is that default agrees to that then subsequent acquisition terminal carries out acquisition instructions again
When employee's video acquisition, then display reminding information is no longer needed to, and then acquisition terminal shoots employee according to the acquisition instructions received
Video obtain as employee's video, and then employee's video is sent to server, when server receives employee's video, then from member
It is extracted in work video and obtains employee's image, can be, the image of each frame is extracted to obtain by server from employee's video
Employee's image is also possible to server and extracts from employee's video according to preset time, such as every 3 minutes, and when extraction
Between section be 5 minutes all picture frames as employee's image, for example, from the initial time of employee's video to all in the 5th minute
Image extract, and then be separated by three minutes, namely carry out since the 8th minute to all images in the 13rd minute
It extracts, and above-mentioned time interval and extraction time section can be according to being configured.
S204: the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image is obtained.
Specifically, Employees'Emotions information refers to the whole mood of employee's image in collected employee's video.Employee's feelings
Thread score refers to the default score inquired according to Employees'Emotions information, can be, the corresponding employee's feelings of Employees'Emotions information
Thread performance is more optimistic, then score is higher.Specifically, when server gets employee's image, then the person of extracting from employee's image
Worker's face can be and be input to employee's image in the Face datection model that training obtains, the Face datection model inspection person of obtaining
The human face characteristic point for including in work image, so that human face region is obtained according to human face characteristic point, using the human face region as employee
Face, and then micro- expression information corresponding to employee's face is obtained, it is identified to obtain Employees'Emotions information according to micro- expression information, be looked into
Ask Employees'Emotions score corresponding to Employees'Emotions information.For example, obtaining employee's image when server is extracted from employee's video
When, then inquire the micro- expression of the employee for including in employee's image, thus according to the micro- expression of employee obtain Employees'Emotions information be it is low,
And then low corresponding score is inquired, such as preset Employees'Emotions score full marks are 10 points, and corresponding Employees'Emotions when low are believed
Breath is 3 points.It is obtained it should be noted that obtaining Employees'Emotions score and can be according to default storage and monitoring time segment, it is such as default
Storage and monitoring time segment is 1 hour, then does not have the Employees'Emotions score of acquisition in 1 hour.
S206: when Employees'Emotions score is lower than score threshold, then statistics is lower than the Employees'Emotions score pair of score threshold
The mood period answered.
Specifically, score threshold refers to the threshold value of evaluation mood, namely when Employees'Emotions score is higher than threshold value, then employee
Current emotional state is for normal condition, and when Employees'Emotions score is lower than threshold value, then the current emotional state of employee is to need
Further monitor to be encouraged.Specifically, when server obtains Employees'Emotions score, score threshold is obtained, it will
Employees'Emotions score is compared with score threshold, and when Employees'Emotions score is lower than score threshold, then current Employees'Emotions are
It needs further to monitor, so that the mood period corresponding to Employees'Emotions score of the statistics lower than score threshold, can be, when
It is when server inquires Employees'Emotions score lower than threshold value, then current when server inquiry mood score is lower than score threshold
Moment inquires according to current time at the time of Employees'Emotions score is higher than score threshold, according to current time and employee's feelings
Thread score obtains the mood period at the time of being higher than threshold value.
S208: when the mood period being more than mood time threshold, then prompt information is sent to acquisition terminal.
Specifically, mood time threshold refers to the reference time whether evaluation Employees'Emotions need to encourage.When server obtains
When getting the mood period, then mood time threshold is obtained, the mood period that will acquire is compared with mood time threshold
Compared with when the mood period being more than mood time threshold, then current Employees'Emotions are in stage for being encouraged, then to adopting
Collect terminal and send prompt information, and server can also need the degree encouraged to send different prompt letters according to Employees'Emotions
Breath namely server can inquire score range according to Employees'Emotions score, to obtain the associated prompt letter of score range
Breath, is sent to acquisition terminal for associated prompt information, acquisition terminal shows the prompt information received.
In above-mentioned Employees'Emotions monitoring method, without manually being analyzed in mood of the unified time to employee, server
Employee's video of acquisition terminal transmission need to be only received, and extracts employee's image from employee's video, and then is obtained in employee's image
The corresponding Employees'Emotions score of the Employees'Emotions information for including, when Employees'Emotions score is lower than score threshold, then statistics is lower than
The Employees'Emotions score of the score threshold corresponding mood period, when the mood period being more than mood time threshold, then to adopting
Collect terminal and send prompt information, so as to monitor to obtain Employees'Emotions in time, improves monitoring efficiency, and avoid by manual analysis
Lead to inaccuracy, to improve precision of analysis.
In one embodiment, Fig. 3 is referred to, the flow diagram of a prompt information sending step, prompt information are provided
Sending step, namely prompt information is sent to acquisition terminal, comprising: the corresponding Employees'Emotions grade of inquiry Employees'Emotions score；
When Employees'Emotions grade is primary mood grade, then obtains pre-stored mood and encourage information, and mood is encouraged into information hair
It send to acquisition terminal；When Employees'Emotions grade is advanced mood grade, then worker's mark is inquired, and search and employee's body
Part identifies corresponding interest information；Recommendation information corresponding with interest information is searched, and recommendation information is sent to acquisition terminal.
Specifically, Employees'Emotions grade is the corresponding difference when being obtained according to Employees'Emotions score lower than score threshold
Degrees of emotion.Mood, which encourages information to refer to, can such as can be encouragement sentence, or deep and remote to the sentence that employee is encouraged
Silent a short tale etc..Interest information refers to the data of hobby associated with employee.Recommendation information refers to corresponding with interest information
Recommendation, if interest information is to read, then recommendation information can be relevant books etc..
Specifically, it is lower than score threshold when server obtains Employees'Emotions score, and continues lower than the mood of score threshold
When time is more than preset time, then employee is the mood encouraged at this time, so that server gets score range, is looked into
The corresponding score range of Employees'Emotions score is ask, to choose grade associated by score range corresponding with Employees'Emotions score
As Employees'Emotions grade, when Employees'Emotions grade is primary mood grade, then it is slight not to can be appearance for the mood of employee
Good mood, such as slight low, slight nervous or slight anger, then can carry out some simple encouragement, then extract and prestore
The mood of storage encourages information, and mood encouragement information is sent to acquisition terminal, when Employees'Emotions grade is advanced mood grade,
Namely the mood of current employee can be and severe unhealthy emotion occurs, such as extreme is low, puts upon the full stretch or extreme anger, then
Server can recommend corresponding mood regulation mode etc. namely server inquiry worker's mark according to the interest information of employee
Know, to inquire the associated details of the employee according to worker's mark, interest information extracted from details,
Server inquires associated recommendation information according to the interest information extracted, and then recommendation information is sent to acquisition terminal
It is shown.Namely can be, when server inquires corresponding Employees'Emotions grade according to Employees'Emotions score, when employee's feelings
When thread grade is primary mood grade, then gets mood and encourage information is such as corresponding to encourage sentence, or humorous a short tale
It encourages etc. the primary that acquisition terminal carries out mood to employee is sent to, when Employees'Emotions grade is advanced mood grade, then may be used
In a manner of according to the corresponding mood regulation of the hobby of employee recommendation, the detailed of employee can be also inquired according to employee's work number
Thin information, extracts interest information from details, such as likes music, then according to the interest information, searches corresponding music letter
Breath, the music information can be music of releiving accordingly, and using the music information as recommendation information, recommendation information is sent to
Acquisition terminal.
In the present embodiment, server sends corresponding prompt information can carry out corresponding recommendation according to Employees'Emotions grade,
Namely Employees'Emotions grade then obtains pre-stored mood and encourages information, and mood is encouraged information when being primary mood grade
It is sent to acquisition terminal, when Employees'Emotions grade is advanced mood grade, obtains worker's mark, and search worker
Corresponding interest information is identified, searches the corresponding recommendation information of interest information, and recommendation information is sent to acquisition terminal, thus
Enhance flexibility and applicability.
In one embodiment, employee's video is received, and extracts employee's image from employee's video, including；Acquisition person
The request of employee's video acquisition is sent to acquisition terminal corresponding with worker's mark by work identity；Receive acquisition terminal
The feedback information corresponding with video acquisition request returned；When feedback information is confirmation acquisition image, then figure to be matched is inquired
Picture；Current face's image that confirmation acquisition image carries is extracted, and current face's image is matched with image to be matched；When
When current face's image and image to be matched successful match, then the member that acquisition terminal is returned according to the request of employee's video acquisition is received
Work video, and employee's image is extracted from employee's video.
Specifically, the request of employee's video acquisition refers to that the request that terminal carries out shooting video is opened in request.Image to be matched
The image for referring to the pre-stored corresponding employee of current acquisition terminal, that is to say the employee's of station corresponding with the acquisition terminal
Image.Current face's image refers to the frame image that acquisition terminal acquires before acquiring corresponding video.Specifically, work as service
When device acquires video to employee, can first verify whether current employee is employee corresponding to acquisition terminal, to guarantee to member
The accuracy of work mood analysis, acquisition terminal can acquire employee's video, so that employee's video is sent to server analysis phase
The Employees'Emotions namely server answered can first get pre-stored worker's mark, identified, searched according to worker
Associated terminal iidentification is indicated to worker, is end used in employee according to terminal corresponding to the terminal iidentification
The request of employee's video acquisition is sent to acquisition terminal by end, namely as acquisition terminal, server, and acquisition terminal is according to receiving
The request of employee's video acquisition shows corresponding prompt information.It can be, acquisition terminal inquires pre-stored work number, to inquire
To terminal number corresponding to the work number, terminal corresponding to the terminal label is acquisition terminal, and server is by video acquisition
Request is sent to acquisition terminal, when acquisition terminal receives video acquisition request, then shows and mentions on corresponding display interface
Show information, as prompt information can be " whether carrying out mood monitoring ".And then acquisition terminal receives employee according to the prompt information
The selection of progress, when employee is when being selected as progress mood monitoring, then acquisition terminal generates acquisition instructions according to the user's choice,
To also generate the feedback information of corresponding confirmation acquisition image, which is simultaneously back to server by acquisition terminal, when
When server receives feedback information to confirm acquisition image, then image to be matched is inquired, and then adopt according to the confirmation received
Collect image feedback information, extract the confirmation acquisition image carry current face's image, and by current face's image with to
It is matched, be can be with image, extract the fisrt feature point of current face's image, and extract the second feature of image to be matched
Point matches fisrt feature point with second feature point, to obtain the phase of current face's image with facial image to be matched
Like degree, inquire whether the similarity is higher than similar threshold value, when being higher than similar threshold value, then image to be matched and current face's image
For same people, wherein the Face datection model that can be completed using training is matched with image to be matched to current face's image
Identified, when current face's image and when facial image successful match to be matched, also as same people when, then can be to employee
Employees'Emotions in video are analyzed, namely are then received acquisition terminal and regarded according to the employee that the request of employee's video acquisition returns
Frequently, when non-successful match, then pause acquisition instructions are sent to acquisition terminal, acquisition terminal is according to pause acquisition instructions, pause
Acquire employee's video, and can show respective pause prompt information, such as " current employee be it is non-I, the analysis of pause mood ".
In the present embodiment, when carrying out employee's video acquisition, feedback information can be first got, to guarantee the peace of acquisition
Quan Xing, and then image to be matched corresponding with feedback information can be matched with current face's image, when successful match,
Employee's video that love stimulation terminal is returned according to the request of employee's video acquisition is then received, to improve the accuracy of mood analysis.
In one embodiment, reference can be made to Fig. 4, provides an Employees'Emotions score display figure, Employees'Emotions monitoring method is gone back
It may include: the display request for receiving acquisition terminal and sending, carry display time interval in display request；The query display time
Whether section corresponds to Employees'Emotions score, and when corresponding Employees'Emotions score, then query display requests corresponding display mode；
According to display mode, mood score is shown.
Specifically, server can show Employees'Emotions information, then employee can select aobvious on acquisition terminal
Show Employees'Emotions score, display request is generated according to the selection of employee, display request is sent to server by acquisition terminal, is serviced
When device receives display request, then display time interval, and then server query display time zone are carried in query display request
Interior whether to be corresponding with Employees'Emotions score, when being corresponding with Employees'Emotions score, then the request of server query display is corresponding
Display mode, such as use display figure or chart shown, and then server according to display mode then by mood score
It is shown, shows the corresponding Employees'Emotions score of time interval when server does not inquire, then send miscue information
To acquisition terminal.It can be, employee selects according to rendering preferences on acquisition terminal, and acquisition terminal is according to the selection of employee
Display request is generated, shows request such as the Employees'Emotions score in display January to June, which is requested transmission by acquisition terminal
To server, server receives display request, the Employees'Emotions score in January to June is inquired, when non-complete query to January
To the Employees'Emotions score in June, then miscue information is sent to acquisition terminal, miscue information, which can be, " to be selected aobvious
Showing the data in time interval does not include complete half a year, can not be exported, and the display period please be reselected ", when server is looked into
When asking the Employees'Emotions score to January to June, then display mode is obtained, if display mode is to be shown using line chart, then
It is time coordinate that abscissa, which can be generated, in server, and ordinate is the line chart of Employees'Emotions score, and the line chart is sent
It is shown to acquisition terminal.And display mode can also be that table is shown, can be shown etc. with isometric chart.
In the present embodiment, Employees'Emotions information can be shown, and can be with query display time interval in display
It whether is corresponding with Employees'Emotions score, is shown again when being corresponding with Employees'Emotions score, thus guarantee the accuracy of display,
And improve display efficiency, and can be shown according to display mode, then it shows multiplicity, enhances applicability.
In one embodiment, Employees'Emotions monitoring method can also include: to obtain employee's video acquisition duration and member
Work mood score；Mood total score is calculated according to employee's video acquisition duration and Employees'Emotions score；Reception must by mood
The sharing instruction shared, generates according to sharing instruction and mood total score to sharing information；It will be sent out to sharing information
It send to sharing service device, and receives the successful prompt information of sharing of sharing service device return.
Specifically, server can calculate the mood total score of preset time, to mood total score share aobvious
Show, can be, server obtains employee's video acquisition duration, and obtains different Employees'Emotions scores, and then regard according to employee
Frequency acquisition duration and Employees'Emotions score calculate mood total score, can be, different Employees'Emotions scores is summed,
It and divided by the quotient that employee's video acquisition duration obtains is mood total score, and then mood total score can be shared, member
Work can choose sharing option, generate sharing instruction according to option is shared, and then terminal is sent to server for instruction is shared, and
Share to carry in instruction and be in a bad mood total score, and then server gets corresponding storage template, by mood total score fill to
It generates in storage template to sharing information, and by generation and is sent to sharing platform to sharing information, sharing platform receives this
When sharing information, then this is waited for that sharing information is shared, different terminals are checked, and then sharing platform returns and divides
Successful prompt information is enjoyed, so that server receives the sharing success prompt information of sharing platform return, and then can should
Share successful prompt information and is back to acquisition terminal.For example, server is got when employee's video acquisition a length of 8 hours, and
Monitoring period is 1 hour, then it is available to Employees'Emotions information be eight values, thus calculate eight be worth and, and divided by member
Work video acquisition duration obtains mood total score, and employee carries out the option for sharing mood total score on acquisition terminal, then basis
The option of employee, which generates, shares instruction, and acquisition terminal will share instruction and be sent to server, and server extracts in sharing instruction
The sharing total score of carrying, and storage template is got, mood total score is filled into storage template and is generated to sharing information,
It will be sent to sharing platform to sharing information, so that sharing platform shares the loan sharing information, be such as shown in corresponding
In website or cell phone software, so that different terminals can be checked, when sharing successfully, then sharing platform can be with
Successful prompt information will be shared and be sent to server, so that the successful prompt information of the sharing is back to acquisition eventually by server
End.It should be noted that sharing platform can with the server cluster of independent server either multiple servers composition come
It realizes.
In the present embodiment, server can calculate mood total score, and can be according to employee's feelings when calculating mood total score
Thread score and employee's video acquisition duration calculate, and calculation is simple, and when mood total score is calculated can be right
Mood total score is shared, and applicability is enhanced.
In one embodiment, the Employees'Emotions information Employees'Emotions score for including in employee's image is obtained, comprising: identification
The current emotional information for including in employee's image, and count the frame number of the corresponding employee's image of current emotional information；According to current
Emotional information and frame number obtain Employees'Emotions information；Score corresponding with Employees'Emotions information is inquired to obtain as Employees'Emotions
Point.
Specifically, current emotional information refers to the current mood in every frame employee image comprising personage.Specifically, work as service
When device obtains employee's video, then employee's image is extracted from employee's video, and then extract employee's face from employee's image, look into
The probability that the emotional information in employee's image is standard mood is ask, the mood probability of standard mood is ranked up, and according to row
Mood probability after sequence extracts the standard mood of quantity corresponding with preset quantity, and then mood corresponding to query criteria mood
Type, when the corresponding all type of emotion of standard mood are different from, then the standard mood for obtaining mood maximum probability is corresponding
Type of emotion as current emotional information；And then when standard mood is corresponding with identical type of emotion, then mood class is inquired
The identical standard mood of type obtains destination probability according to the corresponding mood probability calculation of the identical standard mood of type of emotion, obtains
The maximum value in destination probability and the mood probability of the different standard mood of type of emotion is taken, by the corresponding mood of maximum value
Type inquires the frame number of employee's image corresponding to current emotional information, and then according to frame number as current emotional information
And current emotional information obtains Employees'Emotions, the corresponding score of inquiry Employees'Emotions is as Employees'Emotions score.It needs to illustrate
, obtaining corresponding Employees'Emotions information can be to obtain Employees'Emotions information corresponding to storage and monitoring time segment.Standard mood
Refer to that mood corresponding to preset micro- expression, preset micro- expression can be different types of micro- expression, such as 54 kinds of micro- expressions
Deng.Mood probability refers to the probability for every kind of preset micro- expression that the micro- Expression Recognition model completed according to training obtains, and feelings
Thread probability more it is big then be this kind of micro- expression a possibility that it is higher.Type of emotion refer to by mood corresponding to different micro- expressions into
The different mood subregions that row classification obtains, can be, using similar mood as the same type of emotion, namely can be, will
Similar mood is as the same type of emotion in mood corresponding to 54 kinds of preset micro- expressions, for example, for employee's image,
Can have excited, excited, glad, generally, mood is not so good, low, nervous, boring type of emotion.
For example, when server receives employee's image in a storage and monitoring time segment, then the person of extracting from employee's image
Worker's face, then the current emotional for receiving employee's face corresponding to each frame employee image is the probability of standard mood, also
To be first to inquire the probability of various criterion mood corresponding to employee's face namely first frame employee figure in first frame employee image
As the mood probability of corresponding 54 kinds of standard moods, will acquire mood probability and be ranked up, sequence can be from big to small into
Row sequence, and then preset quantity is got, if preset quantity is 3, then the mood probability after sequence is come to the standard of front three
Mood extracts, and then inquires and come type of emotion different corresponding to the standard mood of front three, such as type of emotion point
Wei not be glad, low, nervous, namely type of emotion is different type of emotion at this time, and then inquires the mark of mood maximum probability
Type of emotion corresponding to thread of agreeing to do a favour, for example low, then low at this time is the current of first frame employee's image in employee's face
Emotional information, and with same procedure, it can identify the current emotional information of other frames employee's image in employee's face, work as server
Inquiry, which comes, identical type of emotion in type of emotion corresponding to the standard mood of front three, the standard for position of such as ranking the first
Mood corresponds to happiness, and the standard mood for position of being number two and the standard mood for position of being number three are corresponding with identical mood class
Type, namely it is corresponding low, then the summation of the mood probability of the corresponding standard mood in poor morale type is calculated as target
The destination probability is compared by probability with the corresponding mood probability corresponding to the standard mood of happy emoticon classification, selection
Type of emotion corresponding to the standard mood of the big probability of comparison result obtains current emotional letter as current emotional information
When breath, then the frame number of current emotional information is inquired, so as to be to inquire the most current emotional information of frame number as employee's feelings
Thread information, and then inquire the corresponding Employees'Emotions score of the Employees'Emotions information.
In the present embodiment, the current emotional information in employee's image is got without manually analyzing, inquiry is improved and works as
The efficiency of preceding emotional information, and subjectivity analysis is avoided to lead to analysis inaccuracy, the accuracy of analysis mood is improved, and when service
When the standard mood that device extracts is corresponding with identical type of emotion, then the standard mood for directlying adopt mood maximum probability is avoided
Corresponding mood classification leads to inaccuracy as current emotional information, then inquires the identical standard mood of type of emotion, and root
Obtain destination probability according to mood probability calculation corresponding to the identical standard mood of type of emotion, so obtain destination probability and
Maximum value in the mood probability of the different standard mood of type of emotion, using the corresponding type of emotion of maximum value as working as cause
Thread information guarantees the accuracy for getting current emotional information, thus according to the frame of the corresponding employee's image of current emotional information
Several and current emotional information obtains Employees'Emotions information, and it is simple and easy to obtain Employees'Emotions information.
It should be understood that although each step in the flow chart of Fig. 2-3 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-3
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 5, providing a kind of Employees'Emotions monitoring device 500, comprising: receiving module
510, module 520, statistical module 530 and sending module 540 are obtained, in which:
Receiving module 510 for receiving employee's video, and extracts employee's image from employee's video.
Module 520 is obtained, for obtaining the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image.
Statistical module 530, for when Employees'Emotions score is lower than score threshold, then statistics to be lower than the employee of score threshold
The mood score corresponding mood period.
Sending module 540, for when the mood period being more than mood time threshold, then sending prompt letter to acquisition terminal
Breath.
In one embodiment, sending module 540 may include:
First query unit, for inquiring the corresponding Employees'Emotions grade of Employees'Emotions score.
First transmission unit, for when Employees'Emotions grade is primary mood grade, then obtaining pre-stored mood drum
Information is encouraged, and mood encouragement information is sent to acquisition terminal.
Interest information query unit, for when Employees'Emotions grade is advanced mood grade, then inquiring worker's mark
Know, and searches interest information corresponding with worker's mark.
Recommendation information for searching recommendation information corresponding with interest information, and is sent to acquisition by the second transmission unit
Terminal.
In one embodiment, receiving module 510 may include.
The request of employee's video acquisition is sent to and worker by request transmitting unit for obtaining worker's mark
Identify corresponding acquisition terminal.
Feedback information receiving unit, for receiving the feedback information corresponding with video acquisition request of acquisition terminal return.
Second query unit then inquires image to be matched when feedback information is confirmation acquisition image.
Matching unit, for extract confirmation acquisition image carry current face's image, and by current face's image with to
Matching image is matched.
Extraction unit, for when current face's image and when image to be matched successful match, then receive acquisition terminal according to
Employee's video that the request of employee's video acquisition returns, and employee's image is extracted from employee's video.
In one embodiment, Employees'Emotions monitoring device 500 can also include:
It shows request receiving module, for receiving the display request of acquisition terminal transmission, carries display in display request
Time interval.
Whether display mode enquiry module corresponds to Employees'Emotions score for query display time interval, works as time showing
When section corresponds to Employees'Emotions score, then query display requests corresponding display mode.
Display module, for according to display mode, mood score to be shown.
In one embodiment, Employees'Emotions monitoring device 500 can also include:
Duration obtains module, for obtaining employee's video acquisition duration and Employees'Emotions score.
Computing module, for calculating mood total score according to employee's video acquisition duration and Employees'Emotions score.
Sharing information generation module is instructed for receiving the sharing for sharing mood total score instruction according to sharing
And mood total score is generated to sharing information.
Prompt information receiving module for that will be sent to sharing platform to sharing information, and receives sharing platform return
Share successful prompt information.
In one embodiment, module 520 is obtained, may include:
Recognition unit, the current emotional information for including in employee's image for identification, and it is corresponding to count current emotional information
Employee's image frame number.
Generation unit, for obtaining Employees'Emotions information according to current emotional information and frame number.
Employees'Emotions score query unit is obtained for inquiring score corresponding with Employees'Emotions information as Employees'Emotions
Point.
Specific restriction about Employees'Emotions monitoring device may refer to above for Employees'Emotions monitoring device method
Restriction, details are not described herein.Modules in above-mentioned Employees'Emotions monitoring device device can fully or partially through software,
Hardware and combinations thereof is realized.Above-mentioned each module can be embedded in the form of hardware or independently of the processor in computer equipment
In, it can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution above each
The corresponding operation of module.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 6.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 database of machine equipment is for storing Employees'Emotions monitoring device data.The network interface of the computer equipment is used for and outside
Terminal passes through network connection communication.To realize a kind of Employees'Emotions monitoring device side when the computer program is executed by processor
Method.
It will be understood by those skilled in the art that structure shown in Fig. 6, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, which performs the steps of when executing computer program receives employee's video, and mentions from employee's video
Take employee's image.Obtain the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image.When Employees'Emotions score
When lower than score threshold, then statistics is lower than the Employees'Emotions score corresponding mood period of score threshold.When the mood period
When more than mood time threshold, then prompt information is sent to acquisition terminal.
In one embodiment, it is realized when processor executes computer program to acquisition terminal and sends prompt information, comprising:
Inquire the corresponding Employees'Emotions grade of Employees'Emotions score.When Employees'Emotions grade is primary mood grade, then obtains and prestore
The mood of storage encourages information, and mood encouragement information is sent to acquisition terminal.When Employees'Emotions grade is advanced mood grade
When, then worker's mark is inquired, and search interest information corresponding with worker's mark.It searches corresponding with interest information
Recommendation information, and recommendation information is sent to acquisition terminal.
In one embodiment, it is realized when processor executes computer program and receives employee's video, and from employee's video
Middle extraction employee's image, including.Worker's mark is obtained, the request of employee's video acquisition is sent to and worker's mark pair
The acquisition terminal answered.Receive the feedback information corresponding with video acquisition request that acquisition terminal returns.When feedback information is confirmation
When acquiring image, then image to be matched is inquired.Current face's image that confirmation acquisition image carries is extracted, and current face is schemed
As being matched with image to be matched.When current face's image and image to be matched successful match, then acquisition terminal root is received
According to employee's video that the request of employee's video acquisition returns, and employee's image is extracted from employee's video.
In one embodiment, it is also performed the steps of when processor executes computer program and receives acquisition terminal transmission
Display request, display request on carry display time interval.Whether query display time interval corresponds to Employees'Emotions score,
When time display interval corresponds to Employees'Emotions score, then query display requests corresponding display mode.According to display mode,
Mood score is shown.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains employee's video acquisition
Duration and Employees'Emotions score.Mood total score is calculated according to employee's video acquisition duration and Employees'Emotions score.It receives
The sharing instruction that mood total score is shared, generates according to sharing instruction and mood total score to sharing information.It will be to
Sharing information is sent to sharing platform, and receives the successful prompt information of sharing of sharing platform return.
In one embodiment, the Employees'Emotions for obtaining and including in employee's image are realized when processor executes computer program
Score, comprising: the current emotional information for including in identification employee's image, and count the corresponding employee's image of current emotional information
Frame number.According to current emotional information and frame number, Employees'Emotions information is obtained.It inquires so corresponding with Employees'Emotions information that be allocated as
For Employees'Emotions score.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor receives employee's video, and employee's image is extracted from employee's video.It obtains
The corresponding Employees'Emotions score of the Employees'Emotions information for including in employee's image.When Employees'Emotions score is lower than score threshold,
Then statistics is lower than the Employees'Emotions score corresponding mood period of score threshold.It is more than mood time threshold when the mood period
When, then prompt information is sent to acquisition terminal.
In one embodiment, it is realized when computer program is executed by processor to acquisition terminal and sends prompt information, packet
It includes: the corresponding Employees'Emotions grade of inquiry Employees'Emotions score.When Employees'Emotions grade is primary mood grade, then obtain pre-
The mood of storage encourages information, and mood encouragement information is sent to acquisition terminal.When Employees'Emotions grade is advanced mood etc.
When grade, then worker's mark is inquired, and search interest information corresponding with worker's mark.It searches corresponding with interest information
Recommendation information, and recommendation information is sent to acquisition terminal.
In one embodiment, it is realized when computer program is executed by processor and receives employee's video, and regarded from employee
Employee's image is extracted in frequency, including.Worker's mark is obtained, the request of employee's video acquisition is sent to and is identified with worker
Corresponding acquisition terminal.Receive the feedback information corresponding with video acquisition request that acquisition terminal returns.When feedback information is true
When recognizing acquisition image, then image to be matched is inquired.Current face's image that confirmation acquisition image carries is extracted, and by current face
Image is matched with image to be matched.When current face's image and image to be matched successful match, then acquisition terminal is received
According to employee's video that the request of employee's video acquisition returns, and employee's image is extracted from employee's video.
In one embodiment, it is also performed the steps of when computer program is executed by processor and receives acquisition terminal hair
The display request sent, display request to carry display time interval.Whether query display time interval, which corresponds to Employees'Emotions, obtains
Point, when time display interval corresponds to Employees'Emotions score, then query display requests corresponding display mode.According to display side
Formula shows mood score.
In one embodiment, acquisition employee's video is also performed the steps of when computer program is executed by processor to adopt
Collect duration and Employees'Emotions score.Mood total score is calculated according to employee's video acquisition duration and Employees'Emotions score.It connects
It receives the sharing for sharing mood total score to instruct, be generated according to sharing instruction and mood total score to sharing information.It will
It is sent to sharing platform to sharing information, and receives the successful prompt information of sharing of sharing platform return.
In one embodiment, the employee's feelings for obtaining and including in employee's image are realized when computer program is executed by processor
Thread score, comprising: the current emotional information for including in identification employee's image, and count the corresponding employee's image of current emotional information
Frame number.According to current emotional information and frame number, Employees'Emotions information is obtained.Inquire score corresponding with Employees'Emotions information
As Employees'Emotions score.
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..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of Employees'Emotions monitoring method, which comprises
Employee's video is received, and extracts employee's image from employee's video；
Obtain the corresponding Employees'Emotions score of the Employees'Emotions information for including in employee's image；
When the Employees'Emotions score is lower than score threshold, then statistics is lower than the Employees'Emotions score of the score threshold
The corresponding mood period；
When the mood period being more than mood time threshold, then prompt information is sent to the acquisition terminal.
2. the method according to claim 1, wherein described send prompt information to the acquisition terminal, comprising:
Inquire the corresponding Employees'Emotions grade of the Employees'Emotions score；
It when the Employees'Emotions grade is primary mood grade, then obtains pre-stored mood and encourages information, and by the feelings
Thread encourages information to be sent to the acquisition terminal；
When the Employees'Emotions grade is advanced mood grade, then worker's mark is inquired, and search and employee's body
Part identifies corresponding interest information；
Recommendation information corresponding with the interest information is searched, and the recommendation information is sent to the acquisition terminal.
3. the method according to claim 1, wherein reception employee's video, and from employee's video
Middle extraction employee's image, including；
Worker's mark is obtained, the request of employee's video acquisition is sent to acquisition corresponding with worker mark eventually
End；
Receive the feedback information corresponding with video acquisition request that the acquisition terminal returns；
When the feedback information is confirmation acquisition image, then image to be matched is inquired；
Current face's image that the confirmation acquisition image carries is extracted, and by current face's image and the figure to be matched
As being matched；
When current face's image and the image to be matched successful match, then the acquisition terminal is received according to the member
Employee's video that the request of work video acquisition returns, and employee's image is extracted from employee's video.
4. the method according to claim 1, wherein the method also includes:
The display request that the acquisition terminal is sent is received, carries display time interval in the display request；
Inquire whether the display time interval corresponds to Employees'Emotions score, when the time showing section corresponds to employee's feelings
When thread score, then query display requests corresponding display mode；
According to the display mode, the mood score is shown.
5. the method according to claim 1, wherein the method also includes:
Obtain employee's video acquisition duration and the Employees'Emotions score；
Mood total score is calculated according to employee's video acquisition duration and the Employees'Emotions score；
It receives the sharing for sharing the mood total score to instruct, according to sharing instruction and the mood total score
It generates to sharing information；
It is sent to sharing platform to sharing information by described, and receives the sharing that the sharing platform returns and successfully prompts to believe
Breath.
6. according to claim 1 to method described in 5 any one, which is characterized in that described obtain is wrapped in employee's image
The Employees'Emotions score contained, comprising:
It identifies the current emotional information for including in employee's image, and counts the corresponding employee's image of the current emotional information
Frame number；
According to the current emotional information and the frame number, the Employees'Emotions information is obtained；
Score corresponding with the Employees'Emotions information is inquired as Employees'Emotions score.
7. a kind of Employees'Emotions monitoring device, which is characterized in that described device includes:
Receiving module for receiving employee's video, and extracts employee's image from employee's video；
Module is obtained, for obtaining the corresponding Employees'Emotions score of Employees'Emotions information for including in employee's image；
Statistical module, for when the Employees'Emotions score is lower than score threshold, then statistics to be lower than the institute of the score threshold
State the Employees'Emotions score corresponding mood period；
Sending module, for when the mood period being more than mood time threshold, then sending and prompting to the acquisition terminal
Information.
8. device according to claim 7, which is characterized in that the sending module, comprising:
First query unit, for inquiring the corresponding Employees'Emotions grade of the Employees'Emotions score；
First transmission unit, for when the Employees'Emotions grade is primary mood grade, then obtaining pre-stored mood drum
Information is encouraged, and mood encouragement information is sent to the acquisition terminal；
Interest information query unit, for when the Employees'Emotions grade is advanced mood grade, then inquiring worker's mark
Know, and searches interest information corresponding with worker mark；
Second transmission unit for searching recommendation information corresponding with the interest information, and the recommendation information is sent to
The acquisition terminal.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
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| CN112052349A (en) * | 2019-06-06 | 2020-12-08 | 松下知识产权经营株式会社 | Content selection method, content selection device, and recording medium |
| CN112052349B (en) * | 2019-06-06 | 2024-04-16 | 松下知识产权经营株式会社 | Content selection method, content selection device, and recording medium |
| CN110555374A (en) * | 2019-07-25 | 2019-12-10 | 深圳壹账通智能科技有限公司 | resource sharing method and device, computer equipment and storage medium |
| CN113298330A (en) * | 2020-02-21 | 2021-08-24 | 北京京东振世信息技术有限公司 | Service processing method, device and storage medium |
| CN113052146A (en) * | 2021-04-30 | 2021-06-29 | 中国银行股份有限公司 | Emotion early warning method and device |
| CN115047824A (en) * | 2022-05-30 | 2022-09-13 | 青岛海尔科技有限公司 | Digital twin multimodal device control method, storage medium, and electronic apparatus |
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