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

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

A technology of gesture recognition and recognition results, which is applied in the field of image recognition and can solve the problems of low accuracy of gesture recognition

Pending Publication Date: 2021-04-23
VIVO MOBILE COMM CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present application discloses a gesture recognition method, a gesture recognition device, an electronic device, a readable storage medium and a chip to solve the problem of low accuracy of gesture recognition in the related art

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0033] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application can be practiced in sequences other than those illustrated or described herein. In addition, "and / or" in the specification an...

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 provides a gesture recognition method, a gesture recognition device, electronic equipment, a readable storage medium and a chip. The method comprises the steps: obtaining a hand region subimage in a target image, and determining the position information of a plurality of feature points corresponding to the plurality of feature points in the hand region subimage; determining a first position feature vector according to the position information of the plurality of feature points, the first position feature vector representing a relative position relationship of any one of the plurality of feature points relative to other feature points in the plurality of feature points; determining a second position feature vector according to the position information of the plurality of feature points, the second position feature vector representing an absolute position relationship of the plurality of feature points in the hand region sub-image; and outputting a recognition result of the hand region sub-image according to the first position feature vector and the second position feature vector. According to the invention, the gesture recognition stability is improved, the complex shooting environment can be dealt with, the user gesture can be accurately recognized under different visual angle conditions, and the user intention can be effectively captured.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular, to a gesture recognition method, a gesture recognition device, an electronic device, a readable storage medium and a chip. Background technique [0002] At present, in the human-computer interaction of mobile terminal users, in addition to the common touch screen interaction, gesture-based interaction has begun to receive more and more attention, especially with the development of mobile phone AR and VR capabilities, gesture interaction has gradually become an irreplaceable trend. At present, gesture recognition is mainly divided into two types: gesture recognition based on original red, green and blue color RGB images and gesture recognition based on hand key points. Gesture recognition based on the original RGB image mainly obtains the category of the gesture by directly classifying the acquired gesture area pictures, and the gesture recognition based on the ...

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): G06K9/00G06K9/32G06K9/46G06N3/04
CPCG06V40/28G06V10/25G06V10/44G06N3/045G06N3/09G06N3/0499G06V10/82G06V40/113G06T7/74G06T2207/20081G06T2207/20084G06T2207/30196
Inventor 郭桦毛芳勤
Owner VIVO MOBILE COMM 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