Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Gesture recognition method and device, electronic equipment and readable storage medium

A gesture recognition and gesture technology, applied in the field of image processing, can solve the problems of inaccurate key point positions, excessive drift, and low accuracy of gesture recognition results, so as to alleviate position information deviation, improve accuracy rate, and improve forming rate Effect

Pending Publication Date: 2021-08-06
GUANGZHOU HUYA TECH CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when using the gesture recognition model to obtain the key point position, due to the influence of various factors, the key point position obtained from the image may not be accurate enough, and the drift relative to the real position is too large, which in turn leads to the result based on the key point position. The accuracy of gesture recognition results is low

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 device, electronic equipment and readable storage medium
  • Gesture recognition method and device, electronic equipment and readable storage medium
  • Gesture recognition method and device, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the objects, technical solutions, and advantages of the present application, the technical solutions in the present application embodiment will be clearly described, and the described embodiments will be described in conjunction with the drawings in the present application embodiment. It is an embodiment of the present application, not all of the embodiments. Components of the present application embodiments described and illustrated in the drawings herein can be arranged and designed in a variety of different configurations.

[0030] Thus, the detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application claimed, but only the selected embodiments of the present application. Based on the embodiments of the present application, those skilled in the art will belong to the scope of the present application without the premise of creative labor.

[0031] It should be note...

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 embodiment of the invention provides a gesture recognition method and device, electronic equipment and a readable storage medium, and relates to the field of image processing. The method comprises the steps of obtaining gesture posture estimation data of an image to be recognized, wherein the gesture posture estimation data comprise position information of a first joint point of a hand; fitting a preset first hand model based on the gesture estimation data to obtain a second hand model; according to node information of each second joint point in a second hand model, adjusting the gesture attitude estimation data to obtain target attitude data conforming to the structure of the second hand model; and performing gesture recognition according to the target posture data to obtain a recognition result. Therefore, the position information of each joint point conforming to the actual hand model structure can be obtained, the position information of the joint points used during gesture recognition is more accurate, drifting of points can be reduced, the forming rate of the hand shape is increased, and therefore the accuracy of the recognition result is improved.

Description

Technical field [0001] The present application relates to the field of image processing, and in particular, there is a gesture identification method, a device, an electronic device, and a readable storage medium. Background technique [0002] At present, when gesture recognition is performed, it is generally first to obtain a critical point position of the hand in the image in the image, and then the gesture recognition model is used to identify the identification of the gesture based on the key position. However, when the gesture recognition model is used to obtain a critical point position, it may be not accurate due to the impact of various factors, which is not accurate enough from the image, and the drift is too large, which in turn leads to the position of the key point. The gesture recognition result is low accuracy. Inventive content [0003] The present application embodiment provides a gesture identification method, device, electronic device, and readable storage mediu...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/28
Inventor 华路延卓文浩
Owner GUANGZHOU HUYA TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products