Application program running monitoring method and device based on artificial intelligence

An application and artificial intelligence technology, applied in hardware monitoring, software engineering design, instruments, etc., can solve the problems of gesture command exiting the full screen interface of the picture, no solution, poor user experience, etc., to avoid the operation experience, reduce Inconvenient, high stability effect

Inactive Publication Date: 2020-12-01
王亚鹏
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some mobile phone users have found that the optimized operating system of this series of mobile phones still has defects in human-machine interface interaction during use. After clicking to open the big picture (that is, to view the picture in full screen), it is impossible to exit the full screen interface of the picture through various gesture commands provided by the manufacturer to exit the full screen view of the picture. Only by force quitting (closing) the foreground application APP; Return your phone to normal use
As a result, the user needs to close the APP, reopen the APP, retrieve the browsing history, or reopen the browsing interface to return to the browsing state before viewing the pictur

Method used

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  • Application program running monitoring method and device based on artificial intelligence
  • Application program running monitoring method and device based on artificial intelligence
  • Application program running monitoring method and device based on artificial intelligence

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0044] Example 1:

[0045] such as Figure 1 As shown, the present invention provides an application program running monitoring method based on artificial intelligence, which includes the following steps:

[0046] S1, acquiring a first application identifier running in the foreground, and if the first application identifier belongs to a first preset identifier list, monitoring whether a user executes a picture full-screen viewing Activity； in the first application; If the first application identifier does not belong to the first preset identifier list, step S4 is executed; It should be noted that, in the prior art, the operation of full-screen viewing of pictures by users is always performed in the foreground, that is, the full-screen viewing of pictures is realized by specific gesture operations; Moreover, there are only some applications that can't quit the full-screen picture, but not all applications installed in the mobile terminal; Therefore, before implementing the method of...

Example Embodiment

[0051] As a preferred embodiment, the step S4 further comprises:

[0052] If the first application program does not directly exit after the full-screen view of the picture, the preset identification list is not updated. It should be noted that, if the first application program does not directly quit after the full-screen view of the picture, it means that the application program can normally quit the full-screen operation of the picture, so that the first preset identifier list is not updated, that is, the identifier of the application program is not added to the first preset identifier list.

[0053] such as Figure 2 As a preferred embodiment, it also includes:

[0054] S01, obtaining the description information of the system update patch, and if there is no update patch of the picture full-screen viewing Activity in the description information, executing step S1; It should be noted that, in addition to the fact that the above method can solve the problem that pictures can't be v...

Example Embodiment

[0073] Example 2:

[0074] such as Figure 3 As shown, the present invention provides an application program running monitoring device based on artificial intelligence, which includes the following modules:

[0075] The application identification module is used for acquiring the identification of the first application program running in the foreground, and if the first application program identification belongs to the first preset identification list, monitoring whether the user executes the picture full-screen viewing Activity； in the first application program; If the first application identifier does not belong to the first preset identifier list, executing the second monitoring module; It should be noted that, in the prior art, the operation of full-screen viewing of pictures by users is always performed in the foreground, that is, the full-screen viewing of pictures is realized by specific gesture operations; Moreover, there are only some applications that can't quit the full-s...

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Abstract

The invention provides an application program operation monitoring method and device based on artificial intelligence. According to the method and the device, after it is monitored that a user executes picture full-screen viewing Activity in a first application program; If the user does not realize full-screen exit of the picture after executing the full-screen exit operation of the picture, automatically destroying the full-screen viewing Activity of the picture to realize full-screen picture exit, thereby avoiding poor operation experience brought to the user by a series of operations such as manually closing an application program and the like by the user. Besides, whether the patch cannot quit the full screen of the picture or not is recognized by automatically detecting and updating the patch, then the problem that the full screen of the picture cannot quit is solved by selecting a system patch or the method provided by the invention, and the high stability of the patch of the system and the flexibility of the method provided by the invention are both considered. Finally, unnecessary full-screen picture viewing operation executed by the user is reduced or avoided through selection of the prompt information by the user, so that inconvenience brought to the user due to abnormal exit of the application program is reduced.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence and mobile terminal application program management, and in particular to an artificial intelligence-based application program running monitoring method and device. Background technique [0002] Android is a free and open source operating system based on the Linux kernel (without GNU components). It is mainly used in mobile devices, such as smartphones and tablets, and is led and developed by Google and the Open Handset Alliance. The Android operating system was originally developed by Andy Rubin and mainly supports mobile phones. Due to the open source feature of the Android system, it is favored by domestic mobile phone manufacturers, and they have adopted the Android system to build their own software ecology. [0003] At the beginning of 2019, the P30 series mobile phones produced by a large domestic mobile phone manufacturer were highly sought after by consumers due...

Claims

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Application Information

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IPC IPC(8): G06F11/30G06F8/658G06N20/00
CPCG06F11/302G06F11/3051G06F8/658G06N20/00
Inventor 王亚鹏
Owner 王亚鹏
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