Three-dimensional gesture recognition system based on depth map

A 3D gesture and recognition system technology, applied in the field of deep learning and computer graphics, can solve problems such as poor sense of reality, and achieve the effect of enriching human-computer interaction and enhancing the sense of reality

Pending Publication Date: 2020-09-04
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the shortcoming of the lack of sense of reality in the prior art, and propose a three-dimensional gesture recognition system based on a depth map

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
  • Three-dimensional gesture recognition system based on depth map
  • Three-dimensional gesture recognition system based on depth map

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0018] refer to Figure 1-2 , a three-dimensional gesture recognition system based on a depth map, including a camera, the camera signal is connected to a depth sensor, the depth sensor signal is connected to a data storage module, and the original depth image is saved by the data storage module, and the data storage module signal Connected with a data preprocessing module, by standing in front of the camera, the camera shoots the depth image sequence of the human hand, so that the depth sensor obtains the depth information map, and then stores it through the data storage module.

[0019] The signal of the data preprocessing module is connected with a segmentation mo...

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 the technical field of computer graphics and deep learning, and relates to a gesture recognition system, in particular to a three-dimensional gesture recognition system basedon a depth map. The three-dimensional gesture recognition system includes a camera, the camera is in signal connection with a depth sensor; the depth sensor is in signal connection with a data storagemodule; the data storage module is in signal connection with a data preprocessing module; the data preprocessing module is in signal connection with a segmentation module; the segmentation module isin signal connection with an input module; the distinguishing module is in signal connection with a static gesture analysis module and a dynamic gesture analysis module; the static gesture analysis module is in signal connection with a model construction module, the model construction module is in signal connection with a matching module, the matching module is in signal connection with a database, the dynamic gesture analysis module is in signal connection with a key point capture module, and the key point capture module is in signal connection with a function construction module. The systemhas the advantages that the reality sense is enhanced, and the man-machine interaction mode is enriched.

Description

technical field [0001] The invention relates to the technical fields of computer graphics and deep learning, in particular to a three-dimensional gesture recognition system based on a depth map. Background technique [0002] Natural human-computer interaction has always been an important research direction in the field of computer graphics and computer human-computer interaction. As an important component of natural human-computer interaction, 3D gesture recognition has naturally received great attention. At the same time, in recent years, some relatively mature depth cameras have been launched one after another. The depth images obtained by the depth cameras avoid the shortcomings of traditional RGB images that are easily affected by light and background, and bring convenience to gesture recognition. Three-dimensional gesture recognition needs to realize not only to determine which gesture state the gesture in the image belongs to, but to display the coordinate positions of...

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): G06K9/00G06K9/34G06F3/01
CPCG06F3/017G06V20/64G06V40/28G06V10/267
Inventor 谢勤岚陈红吴晗玉马淑敏
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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