Gesture recognition method and gesture recognition device

Abstract

The invention relates to a gesture recognition method and a gesture recognition device. The gesture recognition method comprises a training step and a recognition step, wherein the training step comprise the sub-steps of: S1, synchronously acquiring a to-be-trained image with depth information and color information; S2, based on the depth information, determining a primary hand outline; S3, based on color information, determining a precise hand outline; S4, calling the depth information and the color information of the precise hand outline, determining a weighted average by self-adaption weighting to establish a three-dimensional gesture model, and training the three-dimensional gesture models of a plurality of to-be-trained images by using a classifier method to obtain an optimized three-dimensional gesture model. The recognition step is the same as the extraction mode of hand outline, and the optimized three-dimensional gesture model can be obtained according to S4, and the corresponding three-dimensional gesture is recognized. By using the depth information and the color information for recognition, the method has the advantages of high accuracy and high precision.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, and more specifically, to a gesture recognition method and device. Background technique [0002] In the field of human-computer interaction technology, gesture control, as a new type of human-computer interaction, has the advantages of friendliness and other aspects. Currently, there are two main recognition methods for contactless gestures: [0003] The first is a recognition method based on a two-dimensional image with color information, which mainly acquires a grayscale image or a color image of the target, and recognizes gestures through edge detection or skin color threshold detection. The advantage of this two-dimensional image recognition method is that the resolution of the target image is relatively high. However, it is easily affected by the background and ambient light, and also by the distance between the target and the camera. In addition, when the target...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a gesture recognition method and device for the low accuracy of existing non-contact gesture recognition methods, which can recognize gestures in images based on depth information and color information, and then effectively improve the accuracy of gesture recognition

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