Method and apparatus for gesture recognition

A gesture recognition and gesture technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as large environmental impact and inaccurate recognition results, and achieve the effect of improving accuracy

Active Publication Date: 2019-01-01
荣成歌尔科技有限公司
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  • Abstract
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Problems solved by technology

[0004] The present invention provides a gesture method and device to solve the problem that the existing

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  • Method and apparatus for gesture recognition
  • Method and apparatus for gesture recognition
  • Method and apparatus for gesture recognition

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Embodiment Construction

[0021] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0022] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, it should be understood that these descriptions are only exemplary, and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0023] The terms used here are only for describing specific embodiments, and are not intended to limit the present invention. The words "a", "a (kind)" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly dictates otherwise. In addition, the terms "including", ...

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Abstract

A method and apparatus for gesture is disclosed. The gesture recognition method comprises the following steps: acquiring a plurality of gesture images with the same preset gesture type and different gesture angles, and merging the plurality of gesture images into a multi-channel image; the multi-channel images being input into a preset convolution neural network, and the preset non-linear featuresare determined. The preset non-linear features include the 2D spatial correlation features of the images and the correlation features of various pieces of representation information of gesture objects between different channels of the images. A preselection box is generated on the feature map, and the preselection box is used to predict the position of the gesture object in the image, and the gesture recognition result is obtained according to the preset non-linear features. The invention can avoid the influence of the external environment change or the gesture posture change on the gesture recognition, and can accurately recognize the gesture no matter how the gesture posture changes, how the gesture is shielded or how the illumination condition changes, so as to improve the accuracy ofthe recognition.

Description

Technical field [0001] The invention relates to a gesture recognition method and device. Background technique [0002] In recent years, deep learning has shown very good performance in solving many problems such as visual recognition, speech recognition and natural language processing. Among different types of deep neural networks, convolutional neural networks have achieved good performance in image processing. Effect. [0003] However, with the popularity of mobile terminals and wearable devices, the effect of gesture recognition under complex backgrounds is greatly affected by the environment, for example, it is greatly affected by light, color, occlusion, deformation, etc., and in real life, image collection has certain effects. It is impossible to include gesture pictures in all situations. Therefore, the application of convolutional neural network based on a single image as input has certain limitations in gesture recognition. Summary of the invention [0004] The present in...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/107G06N3/045
Inventor 冯扬扬
Owner 荣成歌尔科技有限公司
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