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Self-learning mistaken touch prevention method and device and computer readable storage medium

An anti-mistouch and self-learning technology, which is applied in computing, instruments, electrical digital data processing, etc., can solve problems such as poor anti-mistouch effect, inability to adjust adaptively, and user experience that needs to be improved.

Pending Publication Date: 2021-09-14
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this setting scheme is relatively fixed and cannot be adjusted adaptively according to the user's use environment. The effect of preventing false touch is not good, and it will affect the integrity and practicality of the touch function in the touch area to a certain extent. performance, user experience needs to be improved

Method used

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  • Self-learning mistaken touch prevention method and device and computer readable storage medium
  • Self-learning mistaken touch prevention method and device and computer readable storage medium
  • Self-learning mistaken touch prevention method and device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] image 3 It is a flow chart of the first embodiment of the self-learning anti-false touch control method of the present invention. A self-learning anti-false touch method, the method comprising:

[0074] S1. In the learning phase, acquire environmental information consisting of one or more of hand shape information, application information, and grip information, and divide the touch area into at least two sub-areas according to the environmental information.

[0075] S2. Monitor a first number of touch events in the two sub-areas respectively, and record pressed area information corresponding to each of the touch events, wherein the pressed area information includes pressed area and area shape.

[0076] S3. Obtain the mean value of the pressing area of ​​the same sub-region and the same type of region shape through statistics and acquisition through the preset error tolerance rate, and set a determination range including the mean value.

[0077] S4. In the application...

Embodiment 2

[0087] Figure 4 It is a flow chart of the second embodiment of the self-learning anti-false touch control method of the present invention. Based on the above-mentioned embodiment, in the learning phase, the acquisition consists of one or more of hand shape information, application information, and gripping information. environmental information, and divide the touch area into at least two sub-areas according to the environmental information, including:

[0088] S11. Preset hand shape information related to palm size and finger length, preset application information related to application type and operation type, and preset grip information related to horizontal and vertical screen states.

[0089] S12. Respectively preset a first manipulation feature corresponding to the hand shape information, a second manipulation feature corresponding to the application information, and a third manipulation feature corresponding to the grip information.

[0090] Optionally, in this embodi...

Embodiment 3

[0094] Figure 5 It is a flow chart of the third embodiment of the self-learning anti-false touch control method of the present invention. Based on the above-mentioned embodiment, in the learning phase, the acquisition consists of one or more of hand shape information, application information, and gripping information. environmental information, and divide the touch area into at least two sub-areas according to the environmental information, further including:

[0095] S13. Determine a corresponding manipulation type partition or a manipulation function partition according to one or more of the first manipulation feature, the second manipulation feature, and the third manipulation feature.

[0096] S14. Divide the touch area into at least two sub-areas according to the manipulation type partition or the manipulation function partition.

[0097] Optionally, in this embodiment, according to one or more of the first manipulation feature, the second manipulation feature, and the ...

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PUM

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Abstract

The invention discloses a self-learning mistaken touch prevention method and device and a computer readable storage medium, and the method comprises the steps: recording pressing region information corresponding to each touch event, the pressing region information comprising a pressing area and a region shape; setting a judgment range containing the mean value; and in the application stage, the current area shape of a current touch event in any current sub-area is determined, determining whether the current pressing area of the current touch event is located in the current sub-area and the judgment range corresponding to the current area shape or not, and if not, determining that the current touch event is the mistaken touch event shielding response. According to the invention, a humanized self-learning mistaken touch prevention scheme is realized, so that the mistaken touch mechanism of the equipment can be adaptively set according to software and hardware environments and operation environments, the detection efficiency and accuracy of mistaken touch events are improved, and the user experience is enhanced.

Description

technical field [0001] The present invention relates to the field of mobile communication, in particular to a self-learning anti-false touch method, equipment and a computer-readable storage medium. Background technique [0002] In the prior art, with the continuous development of intelligent terminal devices, large screens and narrow bezels have become the mainstream design of various display devices. Under this structural design, the user's false touch probability is also greatly increased. [0003] In the prior art, false touch detection or identification is generally performed by setting a false touch shielding area. However, this setting scheme is relatively fixed and cannot be adjusted adaptively according to the user's use environment. The effect of preventing false touch is not good, and it will affect the integrity and practicality of the touch function in the touch area to a certain extent. The user experience needs to be improved. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): G06F3/041G06F3/0488
CPCG06F3/04186G06F3/0488
Inventor 吴承伟
Owner NUBIA TECHNOLOGY CO LTD