CN115202545B - Event triggering method, module, learning machine and storage medium based on interface - Google Patents

Event triggering method, module, learning machine and storage medium based on interface Download PDF

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CN115202545B
CN115202545B CN202110390826.3A CN202110390826A CN115202545B CN 115202545 B CN115202545 B CN 115202545B CN 202110390826 A CN202110390826 A CN 202110390826A CN 115202545 B CN115202545 B CN 115202545B
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photographing
learning machine
interface
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CN115202545A (en
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林楷鹏
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Guangzhou Shirui Electronics Co Ltd
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Guangzhou Shirui Electronics Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484Interaction 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
    • G06F3/04847Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484Interaction 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
    • G06F3/04842Selection of displayed objects or displayed text elements

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
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  • Data Mining & Analysis (AREA)
  • Stored Programmes (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The application discloses an event triggering method, a module, a learning machine and a storage medium based on an interface, wherein the method is applied to first application software and comprises the following steps: judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in the monitoring learning machine system; acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions; determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal; triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark; the first application software runs in the learning machine system. According to the mode, under the shooting scene of the learning machine, the shooting function in the learning machine can be triggered on the software level by utilizing the interface, so that the situation that unnecessary objects such as arms are shot into a photo by an operator manually clicking a shooting button is avoided.

Description

Event triggering method, module, learning machine and storage medium based on interface
Technical Field
The embodiment of the application relates to the field of terminal equipment, in particular to an event triggering method, a module, a learning machine and a storage medium based on an interface.
Background
As shown in fig. 1, the camera of the learning machine can be generally used for shooting the learning situation of the desktop of the user, but for the application of a third party, the shooting button of the general custom camera is designed at the middle position below the screen, as shown in fig. 2, so that when the user touches the key to shoot the desktop, unnecessary objects such as arms can be shot into the image, and the shooting effect is shown in fig. 3.
Disclosure of Invention
The application provides an event triggering method, a module, a learning machine and a storage medium based on an interface, which can realize that the shooting function in the learning machine is triggered on a software level by utilizing the interface, thereby avoiding the situation that an operator manually clicks a shooting button to shoot unnecessary objects such as arms into a photo.
In a first aspect, an embodiment of the present application provides an interface-based event triggering method, which is applied to first application software, where the method includes:
Judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in the monitoring learning machine system;
Acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions;
determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal;
Triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark;
The first application software runs in the learning machine system.
Optionally, the page information meeting the preset condition includes:
The page information is stored in an application information list;
the page information includes a photographing application trigger control identifier and an address of the page.
Optionally, acquiring the application information list includes:
periodically interacting with a background server, and reading an application information list from the background server;
the application information list is stored in a background server in json data format.
Optionally, the method further comprises:
pushing a message meeting the preset condition under the condition that the page information of the page meets the preset condition;
or pushing the message which does not meet the preset condition under the condition that the page information of the page does not meet the preset condition.
In a second aspect, an embodiment of the present application further provides an event triggering module based on an interface, where the module includes:
the judging unit is used for judging whether the page information of the page meets the preset condition under the condition that the newly opened page exists in the monitoring learning machine system;
the acquisition unit is used for acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions;
The determining unit is used for determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal;
The triggering unit is used for triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark;
The first application software runs in the learning machine system.
In a third aspect, an embodiment of the present application further provides a learning machine, including: the system comprises a memory, a processor and an interface-based event triggering module, wherein the memory stores a computer program, and the processor realizes the function of the interface-based event triggering module provided by the embodiment of the application when executing the computer program.
In a fourth aspect, embodiments of the present application further provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements an interface-based event triggering method as provided by embodiments of the present application.
The application provides an event triggering method, a module, a learning machine and a storage medium based on an interface, wherein the method is applied to first application software and comprises the following steps: judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in the monitoring learning machine system; acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions; determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal; triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark; the first application software runs in the learning machine system. According to the mode, under the shooting scene of the learning machine, the shooting function in the learning machine can be triggered on the software level by utilizing the interface, so that the situation that unnecessary objects such as arms are shot into a photo by an operator manually clicking a shooting button is avoided.
Drawings
FIG. 1 is a schematic diagram of a prior art learning situation in which a camera of a learning machine shoots a desktop;
FIG. 2 is a schematic diagram of a prior art camera button;
FIG. 3 is a schematic diagram of a prior art image taken of a user's arm;
FIG. 4 is a flow chart of an interface-based event triggering method in an embodiment of the application;
FIG. 5 is a schematic diagram of an interface-based event triggering module according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a learning machine according to an embodiment of the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings.
In addition, in the embodiments of the present application, words such as "optionally" or "exemplary" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "optional" or "exemplary" is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of the words "optionally" or "illustratively" and the like is intended to present the relevant concepts in a concrete manner.
Fig. 4 is a flowchart of an event triggering method based on an interface according to an embodiment of the present application, where the method may be applied to first application software, which may be in a software package and may be capable of running in various application systems. As shown in fig. 4, the method may include, but is not limited to, the steps of:
s401, judging whether page information of a page meets preset conditions under the condition that a newly opened page exists in the monitoring learning machine system.
In the embodiment of the application, the first application software can be run in the learning machine system, monitors whether the learning machine system has a newly opened page or not in real time, and if the newly opened page is monitored, can further judge whether the page information of the page meets the preset condition or not.
The page information in the embodiment of the application can include package name, page address, application function trigger control identifier and the like of Application program (APP). For example, in the photographing scene of the learning machine, the page information of the opened page may include information such as a name of the photographing page in the learning machine, a specific path address of the photographing page, and a trigger control identifier of the photographing application. And under the condition that the newly opened page exists in the learning machine system, matching and judging the page information of the newly opened page based on preset conditions.
S402, acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions.
For example, the preset condition may include that page information is stored in the application information list, that is, in the case that page information of a newly opened page is stored in the application information list, it is indicated that the page information of the newly opened page satisfies the preset condition, and further, a photographing trigger signal may be acquired. For example, the page information may include a photographing application trigger control identification and an address of the page.
It can be understood that the embodiment of the application can be applied to a photographing scene of a learning machine, and can also be applied to other scenes such as video playing, music playing and the like. Similarly, in other scenarios, it may be determined whether the page information of the corresponding page, for example, the opened video playing page, meets a preset condition, that is, whether the page information is stored in the application information list, and if the page information meets the preset condition, the video trigger signal may be acquired accordingly.
Optionally, the photographing trigger signal in this step may be a designed applet, an acquired voice-controlled photographing signal, or a trigger signal of an entity photographing key designed on the learning machine.
It should be noted that, the entity photographing key may be designed autonomously according to the scene requirement, for example, if the arm is photographed into the image to avoid triggering the entity photographing key by hand, the entity key may be designed outside the photographing field of view of the camera such as the side of the learning machine. Moreover, the person skilled in the art can choose to trigger in an applet or voice-controlled manner according to the actual needs.
S403, determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal.
Because the page information of the page meets the preset conditions and comprises the page name, the page address, the application function trigger control identification and other information of the page are stored in the application information list, a photographing trigger signal is obtained, namely the page information of the page meets the preset conditions, photographing can be triggered, and further the photographing application trigger control identification corresponding to the opened page can be determined based on the application information list.
S404, triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark.
The interface is used for triggering the realization of the corresponding function in the learning machine system on the software level, for example, in a shooting scene, a shooting click event can be triggered through the interface of the first application software based on the shooting application triggering control mark, so that the shooting function of the learning machine can be triggered on the software level.
The embodiment of the application provides an event triggering method based on an interface, which is applied to first application software and comprises the following steps: judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in the monitoring learning machine system; acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions; determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal; triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark; the first application software runs in the learning machine system. According to the mode, under the shooting scene of the learning machine, the shooting function in the learning machine can be triggered on the software level by utilizing the interface, so that the situation that unnecessary objects such as arms are shot into a photo by an operator manually clicking a shooting button is avoided.
In one example, the implementation manner of acquiring the application information list in the step S402 may include: the first application software periodically reads an application information list in the background server.
For example, taking a package name, a page address, and an application function trigger control identifier of an APP stored in an application information list as an example, in a photographing scenario, the implementation manner of obtaining the application information may include:
The photographing application package name and the photographing page name are acquired through adb shell dumpsys ACTIVITY ACTIVITIES | grep ResumedActivity. For example, the acquisition mode is:
mResumedActivity:ActivityRecord{1a59889 u0 com.seewo.xuewu.testingbo/.camera.CameraActivity t23}
ResumedActivity:ActivityRecord{1a59889 u0 com.seewo.xuewu.testingbo/.camera.CameraActivity t23}
the capture mode of the shooting application trigger control identifier (ViewId) can be obtained through adb shell uiautomator dump to the layout of the corresponding page, and then found from the layout, for example:
<node bounds=“[783,2109][1025,2206]”checkable=“false”
checked=“false”
class=“android.widget.Button”clickable=“false”
content-desc=“”enabled=“true”focusable=“true”focusable=“false”
index=“2”long-clickable=“false”package=“com.seewo.xuewu.testingbox”password=“false”
resource-id=“com.seewo.xuewu.testingbox:id/takePhotoButton”scrollable=“false”selected=“false”
text= "photograph"/>
It should be noted that the above application information is only described by way of example, and under different application scenarios, a person skilled in the art may design different application information according to actual requirements, and obtain corresponding application information in a corresponding manner.
And storing the corresponding application information in the learning machine in the background server in the form of an application information list according to scene requirements. For example, application information may be saved to a background server in json's data format. The first application software may read the list of application information stored in the background server in real time or periodically.
In one example, when the page information of the page meets the preset condition, a message meeting the preset condition can be pushed, namely, the user is prompted to prompt the learning machine to support triggering of a photographing click event through an interface of the first application software; otherwise, under the condition that the page information of the page does not meet the preset conditions, pushing the message which does not meet the preset conditions, and indicating that the learning machine does not have the function of triggering the photographing click event through the interface.
Fig. 5 is an interface-based event triggering module provided in an embodiment of the present application, as shown in fig. 5, where the module includes a judging unit 501, an obtaining unit 502, a determining unit 503, and a triggering unit 504;
the judging unit is used for judging whether the page information of the page meets the preset condition under the condition that the newly opened page exists in the monitoring learning machine system;
the acquisition unit is used for acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions;
The determining unit is used for determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal;
The triggering unit is used for triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark;
The event triggering module based on the interface is integrated in the learning machine.
Illustratively, the page information meeting the preset condition includes: the page information is stored in an application information list; the page information includes a photographing application trigger control identifier and an address of the page.
In one example, the obtaining unit is further configured to periodically interact with a background server, and read an application information list from the background server; the application information list is stored in a background server in json data format.
In one example, the module further comprises a push unit;
The pushing unit is used for pushing the message meeting the preset conditions under the condition that the page information of the page meets the preset conditions; or pushing the message which does not meet the preset condition under the condition that the page information of the page does not meet the preset condition.
The interface-based event triggering module provided by the embodiment of the application can execute the interface-based event triggering method provided by the embodiment of fig. 4 of the application, and has the corresponding functional units and beneficial effects of the execution method.
Fig. 6 is a schematic structural diagram of a learning machine according to an embodiment of the present application, as shown in fig. 6, the learning machine includes a processor 601, a memory 602, an input device 603, an output device 604, and an interface-based event triggering module 605; the number of processors 601 in the learning machine may be one or more, and one processor 601 is taken as an example in fig. 6; the processor 601, memory 602, input device 603 and output device 604 in the learning machine may be connected by a bus or other means, in fig. 6 by way of example.
The memory 602 is used as a computer readable storage medium for storing a software program, a computer executable program, and modules, such as program instructions/modules corresponding to the interface-based event triggering method in fig. 4 according to the embodiment of the present application (e.g., the determining unit 501, the acquiring unit 502, the determining unit 503, the triggering unit 504 in the interface-based event triggering module). The processor 601 performs the functions of the interface-based event triggering module 605 in the learning machine by executing software programs, instructions and modules stored in the memory 602, i.e., implements the interface-based event triggering method described above.
The memory 602 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the cloud server, or the like. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, the memory 602 may further include memory remotely located with respect to the processor 601, which may be connected to the learning machine/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 603 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the learning machine. The output device 604 may include a display screen or the like to display the learning machine.
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a learning machine processor, are configured to perform an interface-based event triggering method comprising:
Judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in the monitoring learning machine system;
Acquiring a photographing trigger signal under the condition that page information of a page meets preset conditions;
determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal;
Triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark;
The first application software runs in the learning machine system.
Of course, the storage medium containing computer executable instructions provided in the embodiments of the present application is not limited to the above-described method operations, but may also perform the interface-based event triggering method provided in any embodiment of the present application.
From the above description of embodiments, it will be clear to a person skilled in the art that the present application may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present application.
It should be noted that, in the embodiment of the interface-based event trigger module, each included unit is only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present application.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.

Claims (8)

1. An event triggering method based on an interface is applied to first application software and is characterized by comprising the following steps:
Judging whether page information of a page meets preset conditions or not under the condition that a newly opened page exists in a monitoring learning machine system;
Acquiring a photographing trigger signal under the condition that page information of the page meets preset conditions, wherein the condition that the page information meets the preset conditions comprises: the page information is stored in an application information list; the page information comprises a photographing application trigger control identifier and an address of the page;
Determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal, wherein the photographing application trigger control identifier is determined based on an application information list;
triggering a photographing click event through an interface of the first application software according to the photographing application triggering control identifier;
Wherein the first application software is run in the learning machine system.
2. The method of claim 1, wherein obtaining the list of application information comprises:
Periodically interacting with a background server, and reading an application information list from the background server;
and the application information list is stored in a background server in a json data format.
3. The method according to claim 2, wherein the method further comprises:
Pushing a message meeting the preset condition under the condition that the page information of the page meets the preset condition;
Or pushing the message which does not meet the preset condition under the condition that the page information of the page does not meet the preset condition.
4. An interface-based event triggering module, comprising:
The judging unit is used for judging whether the page information of the page meets the preset condition or not under the condition that the newly opened page exists in the monitoring learning machine system;
The acquiring unit is configured to acquire a photographing trigger signal when page information of the page meets a preset condition, where the page information meets the preset condition includes: the page information is stored in an application information list; the page information comprises a photographing application trigger control identifier and an address of the page;
The determining unit is used for determining a photographing application trigger control identifier corresponding to the page based on the photographing trigger signal, wherein the photographing application trigger control identifier is determined based on an application information list;
the triggering unit is used for triggering a photographing click event through an interface of the first application software according to the photographing application triggering control mark;
Wherein the first application software is run in the learning machine system.
5. The module according to claim 4, wherein the acquisition unit is further configured to periodically interact with a background server, from which a list of application information is read;
and the application information list is stored in a background server in a json data format.
6. The module of claim 5, further comprising a push unit;
the pushing unit is used for pushing the message meeting the preset conditions under the condition that the page information of the page meets the preset conditions;
Or pushing the message which does not meet the preset condition under the condition that the page information of the page does not meet the preset condition.
7. A learning machine comprising a memory, a processor and an interface-based event triggering module, wherein the memory stores a computer program which, when executed by the processor, performs the functions of the interface-based event triggering module of any of claims 4-6.
8. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements an interface based event triggering method as claimed in any of claims 1-3.
CN202110390826.3A 2021-04-12 2021-04-12 Event triggering method, module, learning machine and storage medium based on interface Active CN115202545B (en)

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WO2015078336A1 (en) * 2013-11-27 2015-06-04 深圳市金立通信设备有限公司 Method and terminal for shooting media
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