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

A gesture recognition and editing method and system

A gesture recognition and editing system technology, applied in character and pattern recognition, instruments, electrical and digital data processing, etc., can solve problems such as inability to improve gesture recognition, inability to meet the development requirements of custom gesture operation, and achieve convenient mobile phone operation and operation. Use and improve the effect of gesture recognition accuracy

Active Publication Date: 2015-11-25
GUANGZHOU GOMO SHIJI TECH CO LTD +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, this cannot improve the recognition of gestures, let alone meet the development requirements of powerful custom gesture operations

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
  • A gesture recognition and editing method and system
  • A gesture recognition and editing method and system
  • A gesture recognition and editing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Such as figure 1 As shown, this embodiment discloses a gesture recognition and editing method, including the following steps:

[0056] Step1: Receive the user's start command and instantiate the preset gesture library;

[0057] Read the gesture image information input by the user, specifically execute Step2-6;

[0058] Step2: Determine whether the finger leaves the touch screen;

[0059] If so, execute Step3: judge whether the departure time is greater than the preset first time threshold, and the first time threshold is 120 milliseconds;

[0060] If it is greater than, execute Step4: then record the gesture image information once;

[0061] Step5: Determine whether the finger touches the touch screen again within the second time threshold, where the second time threshold is 300 milliseconds;

[0062] If so, return to execute Step2;

[0063] If not, execute Step6: superimpose all input gesture image information;

[0064] Step7: Compare and match the input gesture i...

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 method and system for identifying and editing gestures. The method comprises the following steps of: receiving a start instruction of a user, instantiating a preset gesture library; reading the gesture image information input by the user; matching the input gesture image with the gesture information pre-stored in the gesture library to obtain a gesture set of which an overall image similarity is greater than a preset threshold; if a gesture set of which the overall image similarity is greater than the preset threshold exists, deleting or changing any gesture information in the gesture set according to a user instruction; splitting the strokes of the input gesture image, comparing and matching the stroke characteristics of the input gesture image with that of each gesture in the gesture set to obtain the gesture with the highest similarity, and executing the instruction corresponding to the gesture. In the method provided by the invention, a gesture operation mechanism is designed again, by matching twice, the gesture identification accuracy is improved, and the gesture instruction can be edited anytime anywhere, and thus a mobile phone can be conveniently operated and used.

Description

technical field [0001] The invention belongs to the technical field of mobile phone gesture operation, and in particular relates to a gesture recognition and editing method and system. Background technique [0002] Andriod is an operating system based on the Linux open kernel. It has become the most popular smartphone platform in the world after only two years since its official launch. The Android system itself provides a set of mechanisms for realizing gesture operations, but it has the following disadvantages: [0003] Low degree of gesture recognition: It is impossible to accurately distinguish between two or more gesture operations with relatively similar content, which may easily cause gesture misoperation. [0004] The result of matching content in the gesture library is inconsistent: the same gesture library content and gesture operation, but the matching degree of the result will be different due to the influence of different devices. [0005] Cannot be changed af...

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 Patents(China)
IPC IPC(8): G06F3/042G06K9/00
Inventor 邓裕强黄爱华梁国盛蒋旭文骆培焕王焯斌胡勇敖日明
Owner GUANGZHOU GOMO SHIJI TECH 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

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