Gesture recognition method based on touchpad

Abstract

The invention discloses a gesture recognition method based on a touchpad. The gesture recognition method comprises the following steps: S1) resampling a collected user original gesture path and an original template gesture path, and re-dividing the user gesture path and the template gesture path into paths formed by equal interval points; and S2) calculating an average distance between a set of the equal interval points of the user gesture path and the set of the equal interval points of the template gesture path. The user original gesture path and the original template gesture path are resampled, the user gesture path and the template gesture path are re-divided into the paths formed by the equal interval points, then, the average distance between the set of the equal interval points of the user gesture path and the set of the equal interval points of each template gesture path so as to cause the matching of the user original gesture paths collected under different rates and an original template to be possible, and the recognition of user gesture signals can be quickly and accurately realized.

Description

technical field [0001] The invention relates to a gesture recognition method based on a touch panel, belonging to the technical field of gesture recognition. Background technique [0002] The touchpad can be used to input gesture signals of any shape to realize the output of control commands through the gesture signals. Usually, when recognizing gestures (especially some complex gestures or irregular gestures), the computer will collect a group of candidate points formed by the user's gestures and match them with the preset templates. Wherein, the candidate points and templates can be obtained by collecting movement actions on a position sensing area on the human-computer interaction device. However, since the rate at which the user inputs candidate points is not consistent with the rate at which the template signal is collected, and the rate at which the signal is input will affect the number of gesture signal input points and the distance between each point, the collected...

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Problems solved by technology

However, since the rate at which the user inputs candidate points is not consistent with the rate at which the template signal is collected, and the rate at which the signal is input will affect the number of gesture signal input points and the distance between each point, the collected user gesture signal cannot be compared with the template signal. Perform accurate and fast matching, that is, it is impossible to quickly and accurately identify the user's gesture signal (such as Figure 1 to Figure 8 As shown, among them, Figure 1 to Figure 8 Two by two are a group, which shows that the number of candidate points of the graphics obtained under different acquisition rates will be different, thus affecting the recognition of gesture signals)

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