Method for recognizing customized gesture tracks

Abstract

The invention provides a method for recognizing customized gesture tracks. The method includes that firstly, a gesture track to be recognized is input, and a gesture recognizing module receives coordinate data of the gesture track to be recognized; then, an optimization method is used for optimizing the gesture track to be recognized to obtain an optimization track; and characteristic information of the optimization track is extracted, the characteristic information is matched with characteristic information of preset gestures in a gesture bank for distinguishing, and which kinds of the preset gestures are matched with the input gesture track to be recognized is judged. By means of the method for recognizing the customized gesture tracks, gesture track recognizing accuracy and analysis speeds can be greatly increased when a user inputs the gestures, flexible customized application operations are provided, and influences of operations of input shaking and input speeds on reorganization are reduced.

Description

technical field [0001] The invention belongs to the field of human-computer interaction, and relates to a method for identifying a gesture track, in particular to a method for identifying a custom gesture track. Background technique [0002] Today, as a simple and novel human-computer interaction device, the touch screen has become more and more widely used. Gesture trajectory recognition technology is widely used in human-computer interaction systems. Typical applications include mouse gestures and touch-screen mobile phones. For an input gesture, the existing technology compares its trajectory with the preset gesture trajectory in the gesture library to determine which gesture the gesture belongs to. If it is determined that the input gesture belongs to and only belongs to one of the preset gestures, trigger The application performs the appropriate action, otherwise no action is triggered. [0003] To identify the gesture touch track, usually the track feature informatio...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that more training samples are required to establish a gesture classifier. If a user or a secondary developer of computer software needs to add a new preset gesture to the gesture library, multiple gesture samples need to be provided for establishing a gesture classifier. A new classifier (may need a hundred gesture samples to obtain a high recognition accuracy), so the process of building a gesture library is cumbersome and inconvenient

[0006] If devices such as fingers move too fast or too slow on human-computer interaction devices such as touch screens, it will cause uneven distribution of points obtained by interactive devices and increase of noise points.

Under the existing technology, this situation will reduce the accuracy of gesture trajectory recognition

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