Smartphone usage context recognition method based on touch behavior sequence

A technology of smart phone and situation recognition, applied in the field of human-computer interaction

Active Publication Date: 2021-04-06
OCEAN UNIV OF CHINA
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a smart phone usage situation recognition method based on touch behavior sequences to overcome the shortcomings of existing time management tools

Method used

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  • Smartphone usage context recognition method based on touch behavior sequence
  • Smartphone usage context recognition method based on touch behavior sequence
  • Smartphone usage context recognition method based on touch behavior sequence

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Experimental program
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Embodiment Construction

[0063] The smart phone use situation recognition method based on the touch behavior sequence of the present invention mainly includes the following steps, and the step diagram is shown in figure 1 :

[0064] (0) Define nine touch operations in the interactive mode

[0065] Nine kinds of touch operations are respectively clicking, double-clicking, long pressing, sliding up, sliding down, sliding left, sliding right, zooming and dragging nine kinds of touching operations (see figure 2 ); the feature ranges of the nine touch operations are shown in Table 1.

[0066] The smartphone operating system log records all events that occur during the operation of the mobile phone, including the start and end moments when the application occupies the screen and touch events. The present invention extracts the touch operation by analyzing the attributes recorded in the operating system log of the smart phone. The attributes mainly include the pressing time, lifting time, pressing absciss...

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Abstract

Smartphone usage context recognition method based on touch behavior sequence, which defines 9 kinds of touch operations, extracts 9 kinds of touch operation attributes (touch start and end time, etc.) , taking 32 continuous operations as a basic touch interaction sequence; then use the long short-term memory network and attention mechanism to model, to realize the judgment and statistics of the user's use of the mobile phone situation. In the present invention, the basic touch interaction sequence is input into the two-way long-short-term memory network model of the superimposed attention mechanism for situation recognition, and realizes the judgment of the user's mobile phone situation including shopping, social interaction, browsing, learning, short video, game, etc. Realize the subdivision of multiple scenarios in the user's smartphone application, and count the usage time of each scenario within a certain period of time, so as to provide a direct basis for users to know the usage duration of their smartphones in various scenarios.

Description

technical field [0001] The invention belongs to the field of human-computer interaction technology of smart phones, and in particular relates to a smart phone use situation recognition method based on a touch behavior sequence, which is a method for identifying a user's mobile phone use situation by extracting a touch operation record sequence from a user mobile phone operating system log human-computer interaction method. Background technique [0002] With the general extension of the use time of smartphones, users are increasingly concerned about the allocation of time in the process of using smartphones. In order to help users understand the distribution of their mobile phone use time, mobile phone manufacturers have launched many usage time statistics tools. These tools record the time that mobile phone applications are running in the foreground, and count the usage time of various mobile phone applications within a certain period of time. [0003] However, users may no...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08H04M1/72454G06K9/00G06N3/04
CPCG06N3/08H04M2250/22H04M2250/12G06V40/23G06N3/045
Inventor 洪锋闫旭荣缪倩铃赵中宁杨志豪赵千雪
Owner OCEAN UNIV OF CHINA
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