User behavior track recording method, mobile terminal and computer storage medium
A track recording and mobile terminal technology, applied in the field of mobile terminals and readable storage media, user behavior track recording, can solve the problem of not being able to obtain user behavior activities, and achieve the effect of easy tracking and adjustment
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Embodiment 1
[0053] image 3 A flow chart of a method for recording user behavior traces provided by an embodiment of the present application. Once the method of this embodiment is triggered by the user, the process in this embodiment is automatically run through the mobile terminal 100, wherein, each step can be executed in sequence as shown in the flow chart, or according to the actual situation. Multiple steps are carried out at the same time, which is not limited here. To implement the user behavior track recording method provided by this application, the following steps need to be performed:
[0054]Step S10 , locating the real-time location of the mobile terminal 100 every preset time, acquiring locating information and recording the locating time.
[0055] In this embodiment, the real-time position of the mobile terminal 100 can be positioned by the GPS (Global Positioning System) built in the mobile terminal 100 . The preset time can be customized and set by the user according to...
Embodiment 2
[0071] Such as Figure 4 As shown, based on the user behavior track recording method in Embodiment 1, the step S14 identifies the behavior category of each real-time location user according to the collected audio information, and generating a first label for describing the behavior category may include :
[0072] Step S140, identifying and extracting valid audio information from the collected audio information.
[0073] In this embodiment, the effective audio information may include the user's own voice, other people's voices, and environmental sounds. The environmental sounds are other audio information other than human voices such as car whistles and music playback, which are used to help identify The current real-time location of the user's environment, such as the sound of a car horn and car engine, can infer that the user is outside, such as a road, and further help identify the user's behavior at this real-time location. Further, the other person's voice may be a child...
Embodiment 3
[0076] Such as Figure 5 As shown, based on the second embodiment, the step S140 may include:
[0077] Step S1401, input and generate effective audio information templates in advance, and establish an effective audio information template library. The effective audio information template can be the user's own audio information template, other people's audio information template and the audio information template of environmental sound;
[0078] Step S1402, comparing the audio information collected at each real-time position with the effective information templates in the effective audio information template library through traversal similarity, identifying and extracting the effective audio information in the collected audio information.
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