CN107844257A - Method for information display, device, terminal and storage medium - Google Patents
Method for information display, device, terminal and storage medium Download PDFInfo
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- 238000003062 neural network model Methods 0.000 claims abstract description 93
- 238000012549 training Methods 0.000 claims description 19
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- 238000004590 computer program Methods 0.000 claims description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
- G06F3/04883—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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Abstract
The invention discloses a kind of method for information display, device, terminal and storage medium, belong to field of terminal technology.Methods described includes：When detected based on screen raise gesture when, determine the virtual condition information of terminal；Wherein, virtual condition information includes current application scenarios, raises the gesture that gesture refers to slide using diagonal of the fringe region of the back of the hand along an angular screen of screen；Based on the virtual condition information, by specifying neural network model to determine actual displayed content；The actual displayed content is shown in the region of raising of screen, region is raised and refers to described one jiao of position on screen and raise the region terminated between active position of gesture.The present invention intelligently determines the content that should be shown under current application scene by neural network model, can be flexibly applied to the actual demand of user, improve flexibility and the accuracy of presentation of information.
Description
Technical field
The present embodiments relate to field of terminal technology, more particularly to a kind of method for information display, device, terminal and storage
Medium.
Background technology
At present, with the fast development of terminal technology, the interactive mode between user and terminal also becomes more and more various
Change.For example, user can carry out triggering terminal display customizing messages by using gesture is raised, and raise gesture and typically refer to utilize hand
The gesture that diagonal of the fringe region of the back of the body along an angular screen of screen is slided.Lifted when terminal is detected based on screen
When opening gesture, the information pre-set can be shown on screen.
The content of the invention
The embodiments of the invention provide a kind of method for information display, device, terminal and storage medium, can be used for solving phase
The problem of information display methods present in the technology of pass are single, and flexibility is relatively low.The technical scheme is as follows：
First aspect, there is provided a kind of method for information display, applied in terminal, methods described includes：
When detected based on screen raise gesture when, determine the virtual condition information of the terminal；
Wherein, the virtual condition information includes current application scenarios, the side raised gesture and refer to utilize the back of the hand
The gesture that diagonal of the edge region along an angular screen of the screen is slided；
Based on the virtual condition information, by specifying neural network model to determine actual displayed content；
The actual displayed content is shown in the region of raising of the screen, the region of raising refers to institute on the screen
State one jiao of position and the region terminated between active position for raising gesture.
Alternatively, it is described to be based on the virtual condition information, by specifying neural network model to determine actual displayed content
Before, in addition to：
Positive sample data are obtained, the positive sample data include multiple different sample status informations and corresponding sample shows
Show content information, the sample status information includes application scenarios, and the sample display content information is used to indicate that sample is shown
Content；
Training neural network model is treated based on the positive sample data to be trained, and obtains the specified neutral net mould
Type.
Alternatively, it is described when the application scenarios in the sample status information indicate that the terminal has unread message
Sample display content information corresponding to sample status information is used to indicate the unread message；
When the application scenarios in the sample status information indicate that the screen is currently displaying the game of game application
During picture, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application.
Alternatively, the sample status information also includes user configuration information and historical data；
It is described when detected based on screen raise gesture when, determine the virtual condition information of the terminal, including：
When detected based on screen raise gesture when, determine the current application scene of the terminal, user configuration information and
Historical data；
Current application scene, user configuration information and historical data based on the terminal, determine the reality of the terminal
Status information.
Alternatively, when the application scenarios in the sample status information indicate that the screen is currently displaying the first text
Shelves, and the historical data in the sample status information indicates preset duration of the screen before first document is shown
When inside showing the second document, sample display content information corresponding to the sample status information is used to indicate second text
Shelves.
Alternatively, the raising after region shows the actual displayed content in the screen, in addition to：
When detecting error feedback gesture based on the screen, by the virtual condition information and the actual displayed
Appearance is modified as negative sample data to the specified neural network model；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or swept away with thumb
The gesture of the screen.
Alternatively, the raising after region shows the actual displayed content in the screen, in addition to：
When based on the actual displayed content reception to display false command and receive submission correct display content letter
During breath, using the virtual condition information and the correct display content information as positive sample data to the specified neutral net
Model is modified.
Second aspect, there is provided a kind of information display device, applied in terminal, described device includes：
First determining module, for when detected based on screen raise gesture when, determine the terminal virtual condition letter
Breath；
Wherein, the virtual condition information includes current application scenarios, the side raised gesture and refer to utilize the back of the hand
The gesture that diagonal of the edge region along an angular screen of the screen is slided；
Second determining module, for based on the virtual condition information, being determined by specified neural network model actual aobvious
Show content；
Display module, the actual displayed content is shown for the region of raising in the screen, the region of raising is
Refer to described one jiao of position and the region terminated between active position for raising gesture on the screen.
Alternatively, described device also includes：
Acquisition module, for obtaining positive sample data, the positive sample data include multiple different sample status informations
With corresponding sample display content information, the sample status information includes application scenarios, and the sample display content information is used
In instruction sample display content；
Training module, it is trained, obtains described for treating training neural network model based on the positive sample data
Specify neural network model.
Alternatively, it is described when the application scenarios in the sample status information indicate that the terminal has unread message
Sample display content information corresponding to sample status information is used to indicate the unread message；
When the application scenarios in the sample status information indicate that the screen is currently displaying the game of game application
During picture, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application.
Alternatively, the sample status information also includes user configuration information and historical data；First determining module
It is specifically used for：
When detected based on screen raise gesture when, determine the current application scene of the terminal, user configuration information and
Historical data；
Current application scene, user configuration information and historical data based on the terminal, determine the reality of the terminal
Status information.
Alternatively, when the application scenarios in the sample status information indicate that the screen is currently displaying the first text
Shelves, and the historical data in the sample status information indicates preset duration of the screen before first document is shown
When inside showing the second document, sample display content information corresponding to the sample status information is used to indicate second text
Shelves.
Alternatively, described device also includes：
First correcting module, for when detecting error feedback gesture based on the screen, the virtual condition to be believed
Breath and the actual displayed content are modified as negative sample data to the specified neural network model；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or swept away with thumb
The gesture of the screen.
Alternatively, described device also includes：
Second correcting module, for working as based on the actual displayed content reception to display false command and receiving submission
Correct display content information when, using the virtual condition information and the correct display content information as positive sample data pair
The specified neural network model is modified.
The third aspect, there is provided a kind of terminal, including memory, processor and be stored on the memory and can be in institute
State the computer program run on processor, it is characterised in that the processor, which is configured as performing in above-mentioned first aspect, appoints
The step of one method for information display.
Fourth aspect, there is provided a kind of computer-readable recording medium, be stored with the computer-readable recording medium
Instruction, when run on a computer so that computer is performed such as any one of above-mentioned first aspect method for information display.
The beneficial effect that technical scheme provided in an embodiment of the present invention is brought is：
In the embodiment of the present invention, when detected based on screen raise gesture when, it may be determined that current application scenarios, then
By specifying neural network model intelligently to determine the actual displayed content that should be shown under current application scene, and in screen
Raise region and show the actual displayed content, can so ensure that transient copy can meet current application scene, and
The actual demand of user can be flexibly applied to, improves flexibility and the accuracy of presentation of information.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of flow chart of method for information display provided in an embodiment of the present invention；
Fig. 2A is the flow chart of another method for information display provided in an embodiment of the present invention；
Fig. 2 B are a kind of schematic diagrames for raising gesture provided in an embodiment of the present invention；
Fig. 2 C are a kind of schematic diagrames of error feedback gesture provided in an embodiment of the present invention；
Fig. 3 is the flow chart of another method for information display provided in an embodiment of the present invention；
Fig. 4 is a kind of structural representation of information display device provided in an embodiment of the present invention；
Fig. 5 is a kind of structural representation of terminal 500 provided in an embodiment of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment party of the present invention
Formula is described in further detail.
Before detailed explanation is carried out to the embodiment of the present invention, first the application scenarios of the embodiment of the present invention are given
Introduce.
In practical application, when user checks security information in public places, it is often desirable that the information that terminal is shown should not
Seen by other people, user can carry out triggering terminal progress presentation of information using gesture is raised in this case, so that terminal base
Gesture is raised in this, display needs the content shown at a certain angle of screen.
Such as user can hold up palm and utilize diagonal of the fringe region of the back of the hand along an angular screen of screen
Direction is slided, and terminal can be detected by multiple contacts in screen raises gesture, and the presentation of information for needing to show is existed
Screen raises region.Region is raised to refer on screen between described one jiao of position and the end active position for raising gesture
The angular zone that the palm in region, i.e. user is blocked.
In correlation technique, when terminal, which detects, raises gesture, the information pre-set is only able to display, but pre-set
Information may not be information that user wants to see under current scene, therefore this information display methods are more single, spirit
Activity is relatively low.
It is more single in order to solve information display methods present in correlation technique, the problem of flexibility is relatively low, the present invention
Embodiment propose it is a kind of when detect raise gesture when, by specifying neural network model intelligently to determine in current application scene
Down should be in the method for raising the information that region is shown so that raising the information shown by region can be flexibly applied to user's
Actual demand, improve flexibility and the accuracy of presentation of information.Next it is briefly described by taking following 3 scenes as an example.
Scene 1：When terminal receives new information, gesture is raised if detected, by specifying neural network model shielding
The content raised region and show the new information of curtain, to protect privacy of user.
Scene 2：When terminal, which is used, in user plays game, if a terminal detects that gesture is raised, by specifying nerve
Network model is searched and in the walkthrough raised region and show the game of screen automatically.
Scene 3：In preset duration after terminal is being opened and closing the first document, when opening the second document again,
Gesture is raised if detected, by specifying neural network model to make in the content raised region and show the first document of screen
The first document that screen can be opened before raising region and showing is obtained, and current unlatching is shown raising the region outside region
The second document, to realize that the comparison between more documents is shown.
It should be noted that the embodiment of the present invention illustrates exemplified by being only 3 kinds more than application scenarios, and practical application
In, it can also be applied in other application scenarios, the embodiment of the present invention will not enumerate.
Secondly, to the invention relates to implementation environment simply introduced.
The method for information display that the application provides can apply in terminal, and the terminal can be configured with touch-screen, and should
Terminal can support to raise the operation of gesture, i.e. the terminal can identify that this raises gesture.In practical application scene, the terminal
It is specifically as follows the equipment of such as mobile phone, computer, computer etc, the embodiment of the present application is not limited this.
Fig. 1 is a kind of flow chart of method for information display provided in an embodiment of the present invention, and this method is applied in terminal, such as
Shown in Fig. 1, this method includes：
Step 101:When detected based on screen raise gesture when, determine the virtual condition information of the terminal.
Wherein, the virtual condition information includes current application scenarios, and this raises the marginal zone that gesture refers to utilize the back of the hand
The gesture that diagonal of the domain along an angular screen of the screen is slided；
Step 102：Based on the virtual condition information, by specifying neural network model to determine actual displayed content.
Step 103：The actual displayed content is shown in the region of raising of the screen.
Wherein, this raise region refer on the screen one jiao of the position and this raise between the end active position of gesture
Region.
In the embodiment of the present invention, when detected based on screen raise gesture when, it may be determined that current application scenarios, then
By specifying neural network model intelligently to determine the actual displayed content that should be shown under current application scene, and in screen
Raise region and show the actual displayed content, can so ensure that transient copy can meet current application scene, and
The actual demand of user can be flexibly applied to, improves flexibility and the accuracy of presentation of information.
Alternatively, the virtual condition information should be based on, before determining actual displayed content by specified neural network model,
Also include：
Positive sample data are obtained, the positive sample data include multiple different sample status informations and corresponding sample is shown
Content information, the sample status information include application scenarios, and the sample display content information is used to indicate sample display content；
Training neural network model is treated based on the positive sample data to be trained, and is obtained this and is specified neural network model.
Alternatively, when the application scenarios in the sample status information indicate that the terminal has unread message, the sample shape
Sample display content information corresponding to state information is used to indicate the unread message；
When the application scenarios in the sample status information indicate that the screen is currently displaying the game picture of game application
When, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application.
Alternatively, the sample status information also includes user configuration information and historical data；
It should be detected based on screen when raising gesture, and determine the virtual condition information of the terminal, including：
When detected based on screen raise gesture when, determine the current application scene of the terminal, user configuration information and go through
History data；
Current application scene, user configuration information and historical data based on the terminal, determine the virtual condition of the terminal
Information.
Alternatively, when the application scenarios in the sample status information indicate that the screen is currently displaying the first document, and
Historical data in the sample status information indicates that the screen shows in the preset duration before showing first document
During two documents, sample display content information corresponding to the sample status information is used to indicate second document.
Alternatively, should raising after region shows the actual displayed content in the screen, in addition to：
When detecting error feedback gesture based on the screen, using the virtual condition information and the actual displayed content as
Negative sample data specify neural network model to be modified this；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or sweep away the screen with thumb
The gesture of curtain.
Alternatively, should raising after region shows the actual displayed content in the screen, in addition to：
When to display false command and receiving the correct display content information of submission based on the actual displayed content reception
When, specify neural network model to carry out this as positive sample data the virtual condition information and the correct display content information
Amendment.
Above-mentioned all optional technical schemes, can form the alternative embodiment of the disclosure according to any combination, and the disclosure is real
Example is applied no longer to repeat this one by one.
Fig. 2A is the flow chart of another method for information display provided in an embodiment of the present invention, and this method can apply to end
In end, as shown in Figure 2 A, this method includes：
Step 201：Positive sample data are obtained, the positive sample data include multiple different sample status informations and corresponding
Sample display content information.
Determine that meet the display content of demand under different scenes is carried out, it is necessary to be in advance based on sample data in order to intelligence
Model training, to obtain to be determined for compliance with the specified nerve net of the actual displayed content of requirement according to different conditions information intelligent
Network model.
Wherein, sample data includes positive sample data and negative sample data, positive sample data refer to sample status information and
Its corresponding sample display content information be correct corresponding relation sample data, negative sample data refer to sample status information and
Its corresponding sample display content information is the sample data of wrong corresponding relation, and the embodiment of the present invention will be with based on positive sample number
According to carry out model training exemplified by illustrate.
Wherein, sample status information can include the application scenarios of terminal, can also include the user configuration information of terminal
And/or historical data.
Application scenarios can include the running state information and local environment information of terminal, and running state information can be screen
The content of curtain display, the application that is currently running and it can be matched somebody with somebody with the presence or absence of unread message etc., local environment information by terminal
The sensor put detects to obtain, and view data, the temperature that can be detected for voice data, the camera that microphone detects pass
Acceleration information that temperature data that sensor detects, acceleration transducer detect etc..
User configuration information is used for the configuration of instruction user in the terminal, can include wireless network, cellular network or
Whether bluetooth etc. opens, the call reminding pattern or short message indicating mode, memo information etc. of setting.Wherein, wireless network
Can be WIFI (Wireless-Fidelity, Wireless Fidelity) network, cellular network can be mobile data network.
Historical data is used for the history data of instruction terminal, can be running log of terminal etc., such as history number
According to can include screen history display content or history run application etc..
Wherein, the sample display content information is used to indicate that sample display content, such as the sample display content can wrap
The types and sources of sample display content are included, type can be the data format of sample display content, and source can show for sample
Show application source or storage address of content etc..
It should be noted that the positive sample data are used for instruction terminal under different conditions, user wants what terminal was shown
Content, actual demand and use habit of the user under different application scene can be characterized.In practical application, the positive sample data
It can collect, can also download to obtain from server from terminal.
In one embodiment, server can gather the actual demand under different application scene of a large number of users, so
The data collected are counted afterwards, obtain the sample data, and the sample data is sent to terminal when terminal needs,
So that terminal is trained based on the sample data.
In another embodiment, when gesture is raised in user's use, can be selected raising what region was shown by user
Content, then terminal can record the status information of terminal and selected display content when gesture is raised in user's use, and incite somebody to action
The status information and display content information of record are as sample status information and sample display content information.
In another embodiment, the sample data can also be set to obtain by user according to personal habits, or by technology
Personnel set to obtain according to statistical information, and the statistical information is that the use habit of a large number of users is counted to obtain.
For example, when the application scenarios in the sample status information indicate that the terminal has unread message, the sample state
Sample display content information can serve to indicate that the unread message corresponding to information so that is trained according to the sample data
To specified neural network model can be when unread message be present in terminal, it is determined that raising the content that region shows in screen
For unread message.
For another example when the application scenarios in the sample status information indicate that the screen is currently displaying the trip of game application
During play picture, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application, makes
The game application can be shown in terminal by obtaining the specified neural network model for being trained to obtain according to the sample data
Game picture, it is determined that raising the walkthrough that the content that region shows is the game application in screen.
For another example when the application scenarios in the sample status information indicate that the screen is currently displaying interface for password input
When, sample display content information is used for cipher inputting keyboard corresponding to the sample status information, to protect privacy of user.
For another example when the application scenarios in the sample status information indicate that the screen is currently displaying the first document, and
Historical data in the sample status information indicates that the screen shows in the preset duration before showing first document
During two documents, sample display content information corresponding to the sample status information is used to indicate second document so that according to the sample
The specified neural network model that notebook data is trained to obtain can be when terminal shows more documents, it is determined that being lifted in screen
The document that the content that open region is shown showed for before, to realize that half page turning of more documents is compared.
Step 202：Training neural network model is treated based on the positive sample data to be trained, and is obtained this and is specified nerve net
Network model.
In practical application, the neural network model to be trained can be CNN (Convolutional Neural
Network, convolutional neural networks) RNN models or (Recurrent neural Network, Recognition with Recurrent Neural Network) model,
Can certainly be other neural network models.Correspondingly, obtained specified god is trained by the neural network model to be trained
Can be CNN models or RNN models through network model, or other neural network models, the embodiment of the present invention is to this
Do not limit.
The neural network model to be trained in the training process, can be according to the actual demand of the positive sample data to user
Learnt with use habit, so as to obtain that the specified nerve net of display content can be intelligently determined according to the status information of terminal
Network model.
Specifically, treat training neural network model based on the positive sample data to be trained, obtain this and specify nerve net
Network model includes：Input using sample status information as the neural network model to be trained, pass through the neutral net to be trained
Model exports actual displayed content information, and the actual displayed content information of output sample corresponding with the sample status information is shown
Show that content information is compared, the model parameter of the neural network model to be trained is adjusted according to comparative result, is based on
Neural network model to be trained after adjustment determines that this specifies neural network model.
Wherein, the comparative result is used to indicate the neural network model output error to be trained, that is, the actual displayed exported
Error between content information and sample display content information, the mould according to the comparative result to the neural network model to be trained
Shape parameter is adjusted, and the neural network model output error to be trained can be gradually reduced so that the neutral net to be trained
The actual displayed content information of model output gradually levels off to sample display content information.
, can be according to comparative result, using stochastic gradient descent method to the neural network model to be trained in practical application
Model parameter be adjusted, naturally it is also possible to model parameter is adjusted using other method, the embodiment of the present invention is to this
Do not limit.
It should be noted that the embodiment of the present invention will be illustrated exemplified by carrying out model training based on positive sample data,
And in practical application, it is also based on including positive sample data and the sample data of negative sample data carries out model training, this hair
Bright embodiment is not limited this.
Obtain this specify neural network model after, terminal every time detect raise gesture when, you can determine terminal
Status information, and specify neural network model to determine under the status information by this, terminal is raised region and shown screen
The content shown, specific implementation process comprise the following steps 203-205.
Step 203：When detected based on screen raise gesture when, determine the virtual condition information of the terminal.
Wherein, this is raised gesture and refers to utilize diagonal of the fringe region of the back of the hand along an angular screen of screen
The gesture of slip.This jiao can be any angle in four angles that screen includes, such as the lower left corner, the lower right corner, upper left of screen
Angle or the upper right corner etc..
As shown in Figure 2 B, it can be to hold up palm and utilize the fringe region of the back of the hand gradually along screen that this, which raises gesture,
The gesture that the diagonal of the angular screen in lower-left is slided, and during slip, palm can be to the lower left corner on screen
Region is blocked, and the content for ensureing to show in the region only has user oneself to see, and other users can't see.
In practical application, terminal can raise gesture by the sensor that screen configures to detect this, for example can pass through
The pressure sensor of screen configuration is detected.
Wherein, the virtual condition information includes current application scenarios.The application scenarios can include the operation shape of terminal
State information and local environment information.Running state information can be acquired by system interface, can be the interior of screen display
The application that hold, is currently running and with the presence or absence of unread message etc.；The sensing that local environment information can be configured by terminal
Device detects to obtain, can be the microphone voice data, the camera that detect detect view data, temperature sensor detection
To temperature data, the acceleration information that detects of acceleration transducer etc..
Further, the virtual condition information can also include user configuration information and/or historical data.User configuration is believed
The configuration in the terminal for instruction user is ceased, can include whether wireless network, cellular network or bluetooth etc. open, is set
Call reminding pattern or short message indicating mode, memo information etc..Historical data is used for the history data of instruction terminal,
It can include screen history display content or history run application for running log of terminal etc., such as historical data
Deng.
Specifically, when this, to specify neural network model be the sample based on application scenarios, user configuration information and historical data
When this status information and corresponding sample display content train to obtain, step 203 can also include：Lifted when being detected based on screen
When opening gesture, current application scene, user configuration information and the historical data of the terminal are determined；Current application based on the terminal
Scene, user configuration information and historical data, determine the virtual condition information of the terminal.
In practical application, terminal can obtain user configuration information and historical data by system interface, naturally it is also possible to
Obtain by other means, the embodiment of the present invention is not limited this.
Step 204：Based on the virtual condition information, by specifying neural network model to determine actual displayed content.
It that is to say, can be by specifying neural network model intelligently to determine to answer under current state in the embodiment of the present invention
The display content of the display, i.e. actual displayed content.
Specifically, based on the virtual condition information, by specifying neural network model to determine that actual displayed content includes：Will
The virtual condition information specifies the input of neural network model as this, specifies neural network model to export actual displayed by this
Content information, actual displayed content is determined by the actual displayed content information.
In practical application, the actual displayed content information can include the types and sources of actual displayed content, specifically may be used
Determine the actual displayed content with the types and sources by the actual displayed content, then according to the actual displayed content come
Source obtains the actual displayed content.
Because this specifies neural network model to train to obtain by great amount of samples data, therefore by specifying nerve net
The actual displayed content that network model determines disclosure satisfy that the currently practical state of terminal, and suitable for the actual demand of user.
Step 205：The actual displayed content is shown in the region of raising of the screen.
Wherein, this raise region refer on the screen one jiao of the position and this raise between the end active position of gesture
Region, i.e., this raise the region that gesture is blocked.As shown in Figure 2 B, the end active position for raising gesture is user's the back of the hand
The arc position formed with screen contact, this raises the region between the lower-left Angle Position that region is screen and the arc position
10。
The actual displayed content is shown by the region of raising in screen, it is ensured that only use in the actual displayed content
Family oneself can be seen, and other users can't see, and avoid the leakage of privacy of user.
Step 206：When detecting error feedback gesture based on the screen, by the virtual condition information and the actual displayed
Content specifies neural network model to be modified this as negative sample data.
Wherein, the error feedback gesture can be to cover palm to the gesture of the screen along the back of the hand, i.e., return palm lid
The gesture of screen, or the error feedback gesture can also be that the gesture of the screen is swept away with thumb, i.e., by thumb side along flat
The gesture that row slides laterally in the direction on base on screen.Certainly, the error feedback gesture can also be other gestures, this hair
Bright embodiment is not limited this.For example, as shown in Figure 2 C, the error feedback gesture can be that thumb is horizontal in the direction of the arrow
The gesture of the inswept screen.
It is not that user wants to see under current state when user has found that this raises the actual displayed content that region shows
Content, i.e., when the actual displayed content does not meet user's current demand, above-mentioned feedback gesture can be performed on the screen, with
Just the virtual condition information and the actual displayed content are specified neural network model to carry out this by terminal as negative sample data
Amendment.
Neural network model is specified to enter this as negative sample data the virtual condition information and the actual displayed content
Row amendment, refer to specify the model parameter of neural network model to enter this according to the virtual condition information and the actual displayed content
Row adjustment, to avoid this from specifying neural network model, for the virtual condition information, to export the actual displayed content in input.
Feed back and correct by continuous negative sample, can enable and specify neural network model constantly to reject mistake
Content is exported, and gradually exports correct display content, so as to improve the precision of specified neural network model.
In another embodiment, raising after region shows the actual displayed content in the screen, can also based on
The actual displayed content reception is to display false command and when receiving the correct display content information of submission, by the virtual condition
Information and the correct display content information specify neural network model to be modified this as positive sample data.
Wherein, display false command can be triggered by user by assigned operation, the assigned operation can be clicking operation,
Slide or voice operating etc., the embodiment of the present invention is not limited this.
Further, when terminal receives the display false command, it can also show and specify in the specified location of screen
Entrance, this specifies entrance to be used to submit correct display content information, and correspondingly, terminal can be specified entrance to obtain by this and be submitted
Correct display content information.The specified location can raise region positioned at this, and the area outside region can also be raised positioned at this
Domain.
In a possible implementation, this raises region while the actual displayed content is shown, can also show
Show error feedback icon, the error feedback icon, which is used to trigger, shows false command.When user has found the actual displayed content not
When meeting user's current demand, error feedback icon triggering can be clicked on and show false command.When terminal receives the display
It can be shown during false command on screen and specify entrance, user can specify entrance to submit user to be needed under current state at this
The correct display content information wanted.
Certainly, terminal can also be that this specifies neural network model to set user feedback interface, and user can also be in user
Submit the correct display content information in feedback interface, the embodiment of the present invention to the way of submission of the correct display content information not
Limit.
Neural network model is specified to enter this as positive sample data the virtual condition information and the correct display content
Row amendment, refer to specify the model parameter of neural network model to enter this according to the virtual condition information and the correct display content
Row adjustment, to cause this to specify neural network model, for the virtual condition information, to export the correct display content in input.Pass through
Continuous positive sample feedback and amendment, can enable and specify neural network model constantly to be learnt and export in correct
Hold, improve the precision of specified neural network model.
In the embodiment of the present invention, when detected based on screen raise gesture when, it may be determined that current application scenarios, then
By specifying neural network model intelligently to determine the actual displayed content that should be shown under current application scene, and in screen
Raise region and show the actual displayed content, can so ensure that transient copy can meet current application scene, and
The actual demand of user can be flexibly applied to, improves flexibility and the accuracy of presentation of information.
Fig. 3 is the flow chart of another method for information display provided in an embodiment of the present invention, and this method can apply to end
In end, as shown in figure 3, this method includes：
Step 301：Terminal obtains from server and specifies neural network model, and it is server base that this, which specifies neural network model,
Training neural network model is treated in sample data to be trained to obtain.
Specifically, the terminal can be downloaded from server this specify neural network model, or the reception server send
Specify neural network model.
Wherein, the positive sample data include multiple different sample status informations and corresponding sample display content information,
The sample status information includes application scenarios, and the sample display content information is used to indicate sample display content.Further, should
Sample status information can also include user configuration information and/or historical data.
It should be noted that server can treat training nerve according to terminal in above-mentioned steps 202 based on sample data
Network model is trained to obtain the mode for specifying neural network model, treats training neural network model and is trained and is referred to
Determine neural network model, specific implementation process may be referred to the associated description of above-mentioned steps 202, and the embodiment of the present invention is herein no longer
Repeat.
Step 302：When detected based on screen raise gesture when, determine the virtual condition information of the terminal.
Step 303：Based on the virtual condition information, by specifying neural network model to determine actual displayed content.
Step 304：The actual displayed content is shown in the region of raising of the screen.
Step 305：When detecting error feedback gesture based on the screen, by the virtual condition information and the actual displayed
Content specifies neural network model to be modified this as negative sample data.
It should be noted that the specific implementation process of step 302- steps 305 may be referred to above-mentioned steps 203- steps
206 associated description, the embodiment of the present invention will not be described here.
In another embodiment, when detecting error feedback gesture based on the screen, the virtual condition can also be believed
Breath and the actual displayed content are sent to server as negative sample data, and the negative sample data are based on to specifying god by server
It is modified through network model.
In another embodiment, raising after region shows the actual displayed content in the screen, when based on the reality
, can also be by the virtual condition when display content receives display false command and receives the correct display content information of submission
Information and the correct display content information specify neural network model to be modified this as positive sample data.Or work as base
, can also should in the actual displayed content reception to display false command and when receiving the correct display content information of submission
Virtual condition information and the correct display content information are sent to server as positive sample data, and the positive sample is based on by server
Notebook data is to specifying neural network model to be modified.
In the embodiment of the present invention, when detected based on screen raise gesture when, it may be determined that current application scenarios, then
By specifying neural network model intelligently to determine the actual displayed content that should be shown under current application scene, and in screen
Raise region and show the actual displayed content, can so ensure that transient copy can meet current application scene, and
The actual demand of user can be flexibly applied to, improves flexibility and the accuracy of presentation of information.In addition, the embodiment of the present invention
In, neural network model is specified by being obtained from server, avoids the need for being based on sample data progress model instruction by terminal
Practice, reduce the processing load of terminal, improve terminal operating efficiency.
Fig. 4 is a kind of structural representation of information display device provided in an embodiment of the present invention, the device can be mobile phone,
The terminals such as tablet personal computer, as shown in figure 4, the device includes the first determining module 401, the second determining module 402 and display module
403。
First determining module 401, for when detected based on screen raise gesture when, determine the virtual condition of the terminal
Information；
Wherein, the virtual condition information includes current application scenarios, the side raised gesture and refer to utilize the back of the hand
The gesture that diagonal of the edge region along an angular screen of the screen is slided；
Second determining module 402, for based on the virtual condition information, being determined by specified neural network model actual
Display content；
Display module 403, the actual displayed content is shown for the region of raising in the screen, it is described to raise region
Refer to described one jiao of position and the region terminated between active position for raising gesture on the screen.
Alternatively, described device also includes：
Acquisition module, for obtaining positive sample data, the positive sample data include multiple different sample status informations
With corresponding sample display content information, the sample status information includes application scenarios, and the sample display content information is used
In instruction sample display content；
Training module, it is trained, obtains described for treating training neural network model based on the positive sample data
Specify neural network model.
Alternatively, it is described when the application scenarios in the sample status information indicate that the terminal has unread message
Sample display content information corresponding to sample status information is used to indicate the unread message；
When the application scenarios in the sample status information indicate that the screen is currently displaying the game of game application
During picture, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application.
Alternatively, the sample status information also includes user configuration information and historical data；
First determining module 401 is specifically used for：
When detected based on screen raise gesture when, determine the current application scene of the terminal, user configuration information and
Historical data；
Current application scene, user configuration information and historical data based on the terminal, determine the reality of the terminal
Status information.
Alternatively, when the application scenarios in the sample status information indicate that the screen is currently displaying the first text
Shelves, and the historical data in the sample status information indicates preset duration of the screen before first document is shown
When inside showing the second document, sample display content information corresponding to the sample status information is used to indicate second text
Shelves.
Alternatively, described device also includes：
First correcting module, for when detecting error feedback gesture based on the screen, the virtual condition to be believed
Breath and the actual displayed content are modified as negative sample data to the specified neural network model；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or swept away with thumb
The gesture of the screen.
Alternatively, described device also includes：
Second correcting module, for working as based on the actual displayed content reception to display false command and receiving submission
Correct display content information when, using the virtual condition information and the correct display content information as positive sample data pair
The specified neural network model is modified.
In the embodiment of the present invention, when detected based on screen raise gesture when, it may be determined that current application scenarios, then
By specifying neural network model intelligently to determine the actual displayed content that should be shown under current application scene, and in screen
Raise region and show the actual displayed content, can so ensure that transient copy can meet current application scene, and
The actual demand of user can be flexibly applied to, improves flexibility and the accuracy of presentation of information.
It should be noted that：The information display device that above-described embodiment provides is in display information, only with above-mentioned each function
The division progress of module, can be as needed and by above-mentioned function distribution by different function moulds for example, in practical application
Block is completed, i.e., the internal structure of device is divided into different functional modules, to complete all or part of work(described above
Energy.In addition, the information display device that above-described embodiment provides belongs to same design with method for information display embodiment, it is specific real
Existing process refers to embodiment of the method, repeats no more here.
Fig. 5 is a kind of structural representation of terminal 500 provided in an embodiment of the present invention.For example, terminal 500 can be moved
Mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building are set
It is standby, personal digital assistant etc..
Reference picture 5, terminal 500 can include following one or more assemblies：Processing component 502, memory 504, power supply
Component 506, multimedia groupware 508, audio-frequency assembly 510, the interface 512 of input/output (I/O), sensor cluster 514, and
Communication component 516.
Processing component 502 generally controls the integrated operation of terminal 500, is such as communicated with display, call, data, phase
The operation that machine operates and record operation is associated.Processing component 502 can refer to including one or more processors 520 to perform
Order, to complete all or part of step of above-mentioned method.In addition, processing component 502 can include one or more modules, just
Interaction between processing component 502 and other assemblies.For example, processing component 502 can include multi-media module, it is more to facilitate
Interaction between media component 508 and processing component 502.
Memory 504 is configured as storing various types of data to support the operation in terminal 500.These data are shown
Example includes the instruction of any application program or method for being operated in terminal 500, contact data, telephone book data, disappears
Breath, picture, video etc..Memory 504 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM) are erasable to compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 506 provides power supply for the various assemblies of terminal 500.Power supply module 506 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing power supply for terminal 500.
Multimedia groupware 508 is included in the screen of one output interface of offer between the terminal 500 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensings
Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action
Border, but also detect and touched or the related duration and pressure of slide with described.In certain embodiments, more matchmakers
Body component 508 includes a front camera and/or rear camera.When terminal 500 is in operator scheme, such as screening-mode or
During video mode, front camera and/or rear camera can receive outside multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 510 is configured as output and/or input audio signal.For example, audio-frequency assembly 510 includes a Mike
Wind (MIC), when terminal 500 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The audio signal received can be further stored in memory 504 or via communication set
Part 516 is sent.In certain embodiments, audio-frequency assembly 510 also includes a loudspeaker, for exports audio signal.
I/O interfaces 512 provide interface between processing component 502 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor cluster 514 includes one or more sensors, and the state for providing various aspects for terminal 500 is commented
Estimate.For example, sensor cluster 514 can detect opening/closed mode of terminal 500, and the relative positioning of component, for example, it is described
Component is the display and keypad of terminal 500, and sensor cluster 514 can be with 500 1 components of detection terminal 500 or terminal
Position change, the existence or non-existence that user contacts with terminal 500, the orientation of terminal 500 or acceleration/deceleration and terminal 500
Temperature change.Sensor cluster 514 can include proximity transducer, be configured to examine in no any physical contact
Survey the presence of object nearby.Sensor cluster 514 can also include optical sensor, such as CMOS or ccd image sensor, for
Used in imaging applications.In certain embodiments, the sensor cluster 514 can also include acceleration transducer, and gyroscope passes
Sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 516 is configured to facilitate the communication of wired or wireless way between terminal 500 and other equipment.Terminal
500 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 516 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 516 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, terminal 500 can be believed by one or more application specific integrated circuits (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, real for performing above-mentioned Fig. 1, Fig. 2A or Fig. 3
The method for information display of example offer is provided.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 504 of instruction, above-mentioned instruction can be performed by the processor 520 of terminal 500 to complete above-mentioned Fig. 1, Tu2AHuo
The method for information display that Fig. 3 embodiments provide.For example, the non-transitorycomputer readable storage medium can be ROM, it is random
Access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
In another embodiment, additionally provide a kind of non-transitorycomputer readable storage medium, when its on computers
During operation so that computer performs the method for information display that above-mentioned Fig. 1, Fig. 2A or Fig. 3 embodiment provides.
One of ordinary skill in the art will appreciate that hardware can be passed through by realizing all or part of step of above-described embodiment
To complete, by program the hardware of correlation can also be instructed to complete, described program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only storage, disk or CD etc..
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (12)
1. a kind of method for information display, it is characterised in that applied in terminal, methods described includes：
When detected based on screen raise gesture when, determine the virtual condition information of the terminal；
Wherein, the virtual condition information includes current application scenarios, the marginal zone raised gesture and refer to utilize the back of the hand
The gesture that diagonal of the domain along an angular screen of the screen is slided；
Based on the virtual condition information, by specifying neural network model to determine actual displayed content；
The actual displayed content is shown in the region of raising of the screen, the region of raising refers to described one on the screen
The position at angle and the region terminated between active position for raising gesture.
2. the method as described in claim 1, it is characterised in that it is described to be based on the virtual condition information, by specifying nerve
Before network model determines actual displayed content, in addition to：
Obtain positive sample data, the positive sample data are included in multiple different sample status informations and corresponding sample show
Hold information, the sample status information includes application scenarios, and the sample display content information is used to indicate sample display content；
Training neural network model is treated based on the positive sample data to be trained, and obtains the specified neural network model.
3. method as claimed in claim 2, it is characterised in that when described in the application scenarios instruction in the sample status information
When terminal has unread message, sample display content information corresponding to the sample status information is used to indicating described not read to disappear
Breath；
When the application scenarios in the sample status information indicate that the screen is currently displaying the game picture of game application
When, sample display content information corresponding to the sample status information is used for the walkthrough for indicating the game application.
4. method as claimed in claim 2, it is characterised in that the sample status information also includes user configuration information and gone through
History data；
It is described when detected based on screen raise gesture when, determine the virtual condition information of the terminal, including：
When detected based on screen raise gesture when, determine current application scene, user configuration information and the history of the terminal
Data；
Current application scene, user configuration information and historical data based on the terminal, determine the virtual condition of the terminal
Information.
5. method as claimed in claim 4, it is characterised in that when described in the application scenarios instruction in the sample status information
Screen is currently displaying the first document, and the historical data in the sample status information indicates the screen described in display
When showing the second document in the preset duration before the first document, sample display content corresponding to the sample status information is believed
Cease for indicating second document.
6. the method as described in claim 1-5 is any, it is characterised in that the raising described in region shows in the screen
After actual displayed content, in addition to：
When detecting error feedback gesture based on the screen, the virtual condition information and the actual displayed content are made
The specified neural network model is modified for negative sample data；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or swept away with thumb described
The gesture of screen.
7. the method as described in claim 1-5 is any, it is characterised in that the raising described in region shows in the screen
After actual displayed content, in addition to：
When based on the actual displayed content reception to display false command and when receiving the correct display content information of submission,
Using the virtual condition information and the correct display content information as positive sample data to the specified neural network model
It is modified.
8. a kind of information display device, it is characterised in that applied in terminal, described device includes：
First determining module, for when detected based on screen raise gesture when, determine the virtual condition information of the terminal；
Wherein, the virtual condition information includes current application scenarios, the marginal zone raised gesture and refer to utilize the back of the hand
The gesture that diagonal of the domain along an angular screen of the screen is slided；
Second determining module, for based on the virtual condition information, being determined by specified neural network model in actual displayed
Hold；
Display module, the actual displayed content is shown for the region of raising in the screen, the region of raising refers to institute
State described one jiao of position and the region terminated between active position for raising gesture on screen.
9. device as claimed in claim 8, it is characterised in that described device also includes：
Acquisition module, for obtaining positive sample data, the positive sample data include multiple different sample status informations and right
The sample display content information answered, the sample status information include application scenarios, and the sample display content information is used to refer to
Show sample display content；
Training module, it is trained for treating training neural network model based on the positive sample data, obtains described specify
Neural network model.
10. device as claimed in claim 8 or 9, it is characterised in that described device also includes：
First correcting module, for when detecting error feedback gesture based on the screen, by the virtual condition information and
The actual displayed content is modified as negative sample data to the specified neural network model；
Wherein, the error feedback gesture is to cover palm to the gesture of the screen along the back of the hand or swept away with thumb described
The gesture of screen.
11. a kind of terminal, including memory, processor and it is stored on the memory and can runs on the processor
Computer program, it is characterised in that the processor is configured as the step that perform claim requires any one method described in 1-7
Suddenly.
12. a kind of computer-readable recording medium, instruction is stored with the computer-readable recording medium, when it is in computer
During upper operation so that computer performs the method as described in claim any one of 1-7.
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| CN201711077337.2A CN107844257B (en) | 2017-11-06 | 2017-11-06 | Information display method, device, terminal and storage medium |
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| CN201711077337.2A CN107844257B (en) | 2017-11-06 | 2017-11-06 | Information display method, device, terminal and storage medium |
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| CN107844257B (en) | 2020-04-21 |
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