Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bezel-free gesture learning method and apparatus

A learning method and technology of a learning device, applied in the direction of program control device, data processing input/output process, program control design, etc., can solve problems such as poor user experience and single function of edge gestures, so as to improve user experience and operation Novel method and the effect of increasing the utilization rate

Inactive Publication Date: 2016-04-13
NUBIA TECHNOLOGY CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to propose a borderless-based gesture learning method and device, aiming to solve the technical problems of single function of border gestures and poor user experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bezel-free gesture learning method and apparatus
  • Bezel-free gesture learning method and apparatus
  • Bezel-free gesture learning method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] Such as image 3 As shown, the first embodiment of the present invention proposes a borderless-based gesture learning method, the method comprising steps:

[0084] S10. Record the newly added edge motion, and set the newly added edge motion within the preset time period as the newly added gesture;

[0085] S20, judging whether the added gesture is the same as the set gesture in the mobile terminal;

[0086] If they are not the same, go to step S30 and perform function matching on the newly added gestures; if they are the same, go to step S40 and prompt that the recording failed.

[0087] In this embodiment, through the learning of complex gesture functions, the user can customize the edge gestures, which improves the usage rate of the edge actions, and the operation mode is novel, which improves the user experience.

[0088] In this embodiment, "My Gesture Function" is added to the edge gesture settings of the borderless mobile terminal, and the user can preset a seri...

Embodiment 2

[0096] Such as Figure 8 As shown, in this embodiment, before the step S10, it also includes:

[0097] S01. Record the gripping action points before recording, and remove the gripping action points from the newly added edge actions.

[0098] In this embodiment, when recording starts, the main screen starts counting down to record the gripping action points before recording. These action points are not recorded as actions and need to be removed from the added edge actions.

Embodiment 3

[0100] Such as Figure 9 As shown, in this embodiment, after the step S10, it also includes:

[0101] S11. Input the added gesture again, and match the gestures input twice;

[0102] S12, judging whether the gap between the two input gestures is smaller than a preset threshold;

[0103] S13. If yes, the matching is successful, and the gap value is set as the offset of the newly added gesture;

[0104] Otherwise, go to step S40 and prompt that the recording fails.

[0105] In this embodiment, after the step S13 and before the step S20, it also includes:

[0106] S14. Play back the action of the added gesture by using the animation of the edge, and after the playback is completed, click to confirm that the gesture has been learned successfully.

[0107] In this embodiment, the accuracy of gesture learning is improved through secondary confirmation and playback.

[0108] In this embodiment, after the step S30, it also includes:

[0109] S50. Upload the added gestures and ma...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a bezel-free gesture learning method and apparatus, and belongs to the technical field of mobile communication. The method comprises: recording an added edge action and setting the added edge action within a preset time period to be an added gesture; judging whether the added gesture is the same as a set gesture in a mobile terminal or not; and if the added gesture is not the same as the set gesture in the mobile terminal, performing function matching on the added gesture. According to the bezel-free gesture learning method and apparatus, a complicated gesture function is learned, so that a user can define an edge gesture, the utilization rate of the edge action is increased, an operation mode is novel, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a borderless-based gesture learning method and device. Background technique [0002] With the mass production of Sharp's borderless screens, more and more borderless mobile phones have appeared. Nubia's original edge operation technology FIT (fringe interaction technology) has been widely recognized by the industry. The convenience of using the edge touch area can be creative. It brings some user experience improvements or even leaps. At present, nubia Z9 has realized common operations such as brightness adjustment, background cleaning, and starting applications through basic operations such as sliding, clicking, and long pressing on the edge. [0003] However, when users use borderless edge gestures, they can only perform a single function for relatively rich actions, such as launching applications and cleaning the background, and other prefabricated functio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06F3/0488
CPCG06F9/4451G06F3/04883
Inventor 李岩
Owner NUBIA TECHNOLOGY CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products