A Judgment Method for Sleeve Mistouch in Handwriting Handwriting Based on Touch Large Screen Electronic Whiteboard

Abstract

The invention discloses a method for judging hand-sleeve mistouch in handwritten handwriting based on a large touch screen electronic whiteboard. The specific steps are as follows: a judgment model is obtained by analyzing a large amount of real handwriting data and hand-sleeve mistouch data. The method for judging the wrong touch of the hand sleeve based on the handwriting on the large-screen electronic whiteboard of the present invention supports multi-finger zooming in and out and moving in the writing state of the touch screen without switching modes, and the movement of the two touch points when zooming The direction is inconsistent. From a dynamic point of view, the hand sleeve and the real touch writing point have the same direction and speed. When moving, the areas of the two touch points are equivalent, and the gap is very small. The hand sleeve is recognized during the writing process on the touch screen. False touch, if the touch area of ​​the current input touch point is larger than the area of ​​the sleeve, it will directly determine the wrong touch of the hand sleeve, avoiding false touch handwriting and interfering with normal handwriting, and will not affect the current writing speed during the judgment process of hand sleeve mistouch. Bring better prospects for use.

Description

technical field [0001] The invention relates to the fields of image processing, handwriting recognition, electronic whiteboard, and educational electronic informatization, and in particular to a method for judging a hand-sleeve accidental touch based on handwriting on a large-screen electronic whiteboard. Background technique [0002] Most of the current large handwriting touch screens are 10-point touch. For example, in the teaching scene, teachers need to write a large number of blackboard writing on the electronic whiteboard, which is especially easy to trigger accidental hand sleeve touches, because most of the current large touch screens are based on infrared sensing. System, as long as any object enters the sensing area, it will be recognized as a new touch point to generate strokes. Such false touches will interfere with the user's normal writing; [0003] At present, most of the electronic whiteboards with large touch screens on the market do not handle false touches...

AI Technical Summary

Problems solved by technology

[0002] Most of the current large handwriting touch screens are 10-point touch. For example, in the teaching scene, teachers need to write a large number of blackboard writing on the electronic whiteboard, which is especially easy to trigger accidental hand sleeve touches, because most of the current large touch screens are based on infrared sensing. System, as long as any object enters the sensing area, it will be recognized as a new touch point to generate strokes. Such false touches will interfere with the user's normal writing;

[0003] At present, most of the electronic whiteboards with large touch screens on the market do not handle false touches on the sleeves. Many manufacturers support multi-point writing, which directly leads to writing and drawing handwriting by accidental touches on the sleeves. This kind of user experience is very bad, and some The manufacturer's electronic whiteboard only supports writing at a single point, and only zooms and moves in non-writing mode. It also sacrifices user experience and bypasses the problem of hand-sleeve accidental touch. For this reason, we propose a touch-based large screen Judgment method of hand-sleeve accidental touch in electronic whiteboard handwriting

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