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
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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...
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