Gesture recognition method and gesture recognition device

A gesture recognition and recognition technology, applied in the field of human-computer interaction, can solve the problem of low accuracy and achieve the effect of high accuracy and high precision

Active Publication Date: 2015-05-06
SHENZHEN ORBBEC CO LTD
View PDF5 Cites 54 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Gesture recognition method and gesture recognition device
  • Gesture recognition method and gesture recognition device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments.

[0048] See figure 1 , Is a flowchart of a gesture recognition method according to a preferred embodiment of the present invention. Such as figure 1 As shown, the gesture recognition method provided by the preferred embodiment of the present invention includes a training step and a recognition step:

[0049] Wherein, the training step further includes steps S1-S4.

[0050] First, in step S1, an image to be trained with depth information and color information is synchronously acquired. This step can be implemented by one depth camera, at least one color camera and camera fixing components. The controller realizes the synchronous control of the images collected by the depth camera and the color camera. In this step, a depth camera combined with a col...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
CPCG06F3/017G06F18/29G06F18/214
Inventor 肖振中许宏淮刘龙黄源浩
Owner SHENZHEN ORBBEC CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products