Doze mode adjustment method and device, mobile terminal and memory medium

[0022] see figure 1 , figure 1 A schematic flow chart of the Doze mode adjustment method provided by the embodiment of the present application is shown. The Doze mode adjustment method is used to predict the time range and space range in which the user may use the mobile terminal by acquiring the usage habits of the user, intelligently adjust the wake-up time of the mobile terminal, and improve user experience. In a specific embodiment, the Doze mode adjustment method is applied as Figure 5 The Doze mode adjustment device 200 shown and the mobile terminal ( Figure 7 ). The following will take the mobile terminal as an example to illustrate the specific process of this embodiment. Of course, it can be understood that the mobile terminal used in this embodiment can be a smart phone, a tablet computer, a wearable electronic device, etc., and no specific details will be given here. limited. The following will target image 3 The flow shown is described in detail, and the Doze

[0034] see figure 2 , figure 2 A schematic flowchart of the Doze mode adjustment method provided by the second embodiment of the present application is shown. The following will target figure 2 The shown process is described in detail, and the shown method may specifically include the following steps:

[0035] Step S210: Detect the screen status, motion status and plug-in status of the mobile terminal.

[0036] Step S220: When the screen state is off, the motion state is still, and the plugged state is non-plugged, acquire the current scene of the mobile terminal.

[0037] Wherein, for the implementation method of step S210-step S220, please refer to step S110-step S120 for details, which will not be repeated here.

[0038] Step S230: Input the current scene into a machine learning model, the machine learning model is based on a convolutional neural network architecture and is obtained by training multiple scene samples and multiple time length samples, the multiple scene

[0054] see Figure 4 , Figure 4 A schematic flowchart of the Doze mode adjustment method provided by the third embodiment of the present application is shown. The following will target Figure 4 The shown process is described in detail, and the shown method may specifically include the following steps:

[0055] Step S310: Detect the screen status, motion status and plug-in status of the mobile terminal.

[0056] Step S320: When the screen state is off, the motion state is stationary, and the plugged state is non-plugged, acquire the current scene of the mobile terminal.

[0057] Wherein, for the implementation method of step S310-step S320, please refer to step S110-step S120 for details, which will not be repeated here.

[0058] Step S330: Detect whether the mobile terminal is in the Doze mode.

[0059] Step S340: When the mobile terminal is not in the Doze mode, determine the time length for the mobile terminal to enter the Doze mode according to the current scene.

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