Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information

A technology of dynamic gestures and depth information, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as difficulties, unnatural self-viewing, and slow human-computer interaction

Inactive Publication Date: 2013-11-13
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 51 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional sense, smart wheelchairs use manual joysticks to control the movement. For users with upper limb weakness or hand tremors, it is difficult to manipulate hardware to control wheelchairs, and this method is not natural enough. The speed of human-computer interaction is also relatively slow
Can not meet people's urgent needs for friendly, convenient and intuitive human-computer interaction

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
  • Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information
  • Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information
  • Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The present invention will be further described below in conjunction with drawings and embodiments.

[0076] Gesture is a non-rigid motion, and the meaning of gesture is also various, and there are many differences in time and space, and the expression methods are also diverse, which makes the task of dynamic gesture recognition more difficult. When the hand moves, people have different habits, and the time of doing the action is also different, so the gestures made are very different, even for a repetitive action. Dynamic gestures are different in space and time, and there is variability in both. For different experimental environments in practical applications, the motion environment of smart wheelchairs is constantly changing, and the background, lighting, skin-like objects, occlusion, etc. all make gesture recognition research stay in theoretical research or simple background applications. Therefore, new gesture segmentation methods and effective feature extraction...

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 discloses an intelligent wheelchair dynamic gesture recognition method based on Kinect depth information and relates to the field of intelligent wheelchairs. A method of dynamic gesture recognition based on Kinect depth image information is adopted, and the intelligent wheelchair dynamic gesture recognition method has strong expansibility, can solve problems of influence on gesture detection caused by complex backgrounds, large-area skin color interference and the like and can accurately and effectively separates hands. Subsequently, a method combining Camshift and Kalman filtering is adopted to fast and effectively track gestures, a fused feature extraction method is adopted, and accuracy of dynamic gesture recognition is improved. When the intelligent wheelchair dynamic gesture recognition method is applied to an intelligent wheelchair control system based on dynamic gesture recognition, fast and accurate dynamic gesture command recognition can be achieved, the intelligent wheelchairs can be safely and stably controlled, and the natural and visual man-machine interaction mode between people and the intelligent wheelchairs is achieved.

Description

technical field [0001] The invention relates to the field of intelligent wheelchairs, in particular to a method for recognizing dynamic gestures of intelligent wheelchairs. Background technique [0002] The cognitive habits and forms that humans naturally communicate with the natural world are the development direction of human-computer interaction. Therefore, researchers are also working hard to make future terminals able to hear, see, speak, and feel. Simply put, human-computer interaction is the interaction between humans and computers. From keyboard to mouse control, then from voice to touch, and then to multi-touch, with the expansion of human-computer interaction mode users and continuous penetration into non-professional groups, human-computer interaction methods are increasingly returning to "natural" . In the transformation of science and technology, human-computer interaction technology has also made qualitative progress. In recent years, people's demand for hum...

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): G06K9/62G06K9/46
Inventor 张毅徐晓东罗元谢颖
Owner CHONGQING UNIV OF POSTS & TELECOMM
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