Gesture identification method and system based on visual sense

A gesture recognition and gesture technology, applied in the field of gesture recognition, can solve problems such as complex algorithms and low real-time performance, and achieve the effects of improving system performance, enhancing ease of use, and good real-time performance

Inactive Publication Date: 2010-10-06
CHONGQING UNIV
View PDF0 Cites 122 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, vision-based gesture recognition technology mostly uses methods such as artificial neural network (ANN) and hidden Markov model (HMM), but these methods have defects such as complex algorithms and low real-time performance.

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 identification method and system based on visual sense
  • Gesture identification method and system based on visual sense
  • Gesture identification method and system based on visual sense

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Such as figure 1 As shown, the vision-based gesture recognition method includes the following steps:

[0027] 1) Gesture image acquisition: used to acquire user gesture image data as gestures to be recognized.

[0028] Gesture image acquisition is to continuously collect image data to update the data cache through the gesture image acquisition device. In order to obtain gestures with certain clarity and moderate size, the image resolution used in the present invention is 120*160 pixels.

[0029] 2) Image data input: In order to obtain more accurate recognition results and avoid processing the images collected when the user has not placed the gestures to obtain wrong results, it is necessary to input two consecutive image data, and the corresponding pixel values ​​are set Determine whether the image is still, if it is still, go to step 3), otherwise return to step 1).

[0030] 3) Gesture image recognition: process gesture image data, extract features and match with tem...

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 gesture identification method and system based on visual sense. The system comprises a gesture image acquisition device and a controller which are mainly used for realizing gesture image acquisition, image data entry, gesture image identification and operation command execution, wherein the gesture image identification comprises image binaryzation, gesture split, feature extraction and feature matching. The invention has real-time performance, obtains identification results by extracting and matching the features of gesture images of a user, and executes corresponding commands according to the identification results. In the invention, hands are used as input devices, only the acquired images need contain complete gestures, and the gestures can be allowed to translate, change in dimension and rotate within a certain angel, thereby greatly improving the use convenience of devices.

Description

technical field [0001] The invention belongs to the field of gesture recognition, in particular to a vision-based gesture recognition method and system. Background technique [0002] In human-computer interaction technology, keyboards, mice, and joysticks are currently the main input tools. It is the best input tool in human-computer interaction, but because the human hand is a complex deformable body, it cannot be represented by a simple model. [0003] The initial research mainly focused on making a special hardware device for input, such as data gloves. Finally, people finally focus on the natural hand. Through dedicated acceleration hardware and off-line training, some researchers have successfully developed a gesture recognition system, but the recognized gestures are limited to several. For example, the gesture recognition system based on orientation histogram proposed by Freeman and Roth et al. In 1994, Gao Wen et al. proposed a capture and recognition method for g...

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): G06F3/01G06K9/00G06K9/54
Inventor 何伟张玲李佳赖琴谭斌
Owner CHONGQING UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap