Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Gesture recognition system and method for vehicle intelligent equipment

A technology of intelligent equipment and gesture recognition, applied in the field of gesture recognition, can solve the problem of single model and achieve the effect of improving the recognition rate

Active Publication Date: 2016-12-07
广州亿程交通信息有限公司
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing gesture recognition technology, the standard model of each gesture is usually obtained through kinematic analysis. This model is relatively simple and cannot effectively recognize most gestures.

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 system and method for vehicle intelligent equipment
  • Gesture recognition system and method for vehicle intelligent equipment
  • Gesture recognition system and method for vehicle intelligent equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be described in further detail below by means of specific embodiments:

[0026] This embodiment is used in a gesture recognition system for vehicle intelligent equipment, including a gesture action sensing module for collecting user gesture actions. The gesture action sensing module of this embodiment adopts an acceleration sensor and a camera; a gesture image preprocessing module is used for collecting The hand gesture image is preprocessed. The gesture image preprocessing module of this embodiment includes a skin color detection module, a background separation module, an edge detection module, a hand region positioning module, a palm region detection module and a palm influence regularization module; The gesture analysis module is used to identify the preprocessed gesture information and match it with the gesture data in the system. The recognition is based on the recognition method of the acceleration symbol of the big data model; the intera...

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 a gesture recognition system and method for vehicle intelligent equipment. The system comprises a gesture action sensing module, a gesture image pre-processing module, a gesture analysis module and an interaction module, wherein the gesture action sensing module is used for acquiring user gesture actions; the gesture image pre-processing module is used for pre-processing the acquired gesture images; the gesture analysis module is used for recognizing the pre-processed gesture information and matching the pre-processed gesture information with gesture data in the system, and the recognition is on the basis of a recognition manner of acceleration symbols of big data models; and the interaction module is used for interacting with the vehicle intelligent equipment through gesture control information. The system and method disclosed by the invention can realize the efficient recognition of gestures.

Description

technical field [0001] The invention relates to gesture recognition technology, in particular to a gesture recognition system and recognition method for vehicle intelligent equipment. Background technique [0002] Gesture recognition technology involves a wide range of fields, such as pattern recognition, intelligent analysis, three-dimensional image processing, computer vision and other fields. Gesture recognition is the process of collecting hand and arm feature data and processing it through algorithms to control electronic devices. Gesture realizes intelligent information exchange and processing with its advantages of intuitive, natural and easy-to-learn human-computer interaction and without the cooperation of special hardware, so it is more and more widely used. In the existing gesture recognition technology, the standard model of each gesture is usually obtained through kinematic analysis. This model is relatively simple and cannot effectively recognize most gestures...

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): G06F3/01G06K9/00
CPCG06F3/017G06V40/28
Inventor 曾卓
Owner 广州亿程交通信息有限公司
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com