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

Automatic gesture recognizing method and system

An automatic identification system and automatic identification technology, applied in the field of data processing, can solve the problems of high cost and cannot be industrialized in large quantities, and achieve the effect of high popularity, reducing false alarm rate and avoiding inconvenience.

Inactive Publication Date: 2015-05-13
SHENZHEN UNIV
View PDF3 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above methods are either too expensive, or use special tools, and cannot be industrialized in large quantities

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
  • Automatic gesture recognizing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] A gesture automatic recognition method, based on wireless network signal transmission technology, the steps comprising:

[0046] S1. The wireless receiving end receives the wireless signal from the wireless transmitting end, and evaluates the channel state information;

[0047] S2. Using an abnormality detection algorithm to identify abnormalities in channel state information changes;

[0048] S3. Based on the SVM algorithm that can distinguish multiple types of target action classes, the pattern of channel state information changes caused by human gesture actions is used as the target action class to identify gesture actions. If recognized, it can respond to the definition of the gesture, otherwise continue to execute Step S1.

[0049]In practical applications, the automatic...

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 automatic gesture recognizing method and system based on the wireless network signal transmission technology. The method comprises the following steps that firstly, a wireless receiving end receives a wireless signal from a wireless transmitting end and assesses channel state information; the changing abnormality of the channel state information is recognized through an abnormality detection algorithm; the gesture action is recognized based on an SVM algorithm capable of distinguishing a plurality of target action types and with the mode that the human body gesture action causes the channel state information change as the target action type, and if recognition can be achieved, the definition of the gesture can be answered. According to the recognizing method, the false alarm rate is low; an existing wireless network and an existing device are utilized, other specific detecting devices do not need to be installed, and high popularity is achieved. Meanwhile, a detected person does not need to carry any additional sensing devices, and inconvenience caused when the detected person carries the detecting devices is avoided.

Description

technical field [0001] The invention relates to data processing technology, in particular to a gesture automatic recognition method and system. Background technique [0002] With the popularization of computers, Human-Computer Interaction (HCI) becomes more and more important. Human-computer interaction refers to the process of information exchange between humans and computers using a certain dialogue language to complete certain tasks in a certain interactive way [1]. Its main goal is to achieve harmonious communication between man and machine. We know that there can be many ways between people, but the relationship between people and machines is often single, mechanical and rigid. Therefore, enabling machines to perceive human language is of great significance for improving human-computer interaction. Gesture, as an intuitive, vivid, rich in interactive information, easy to learn, and has a strong visual impact of human body language, can be used as an important means...

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): G06F3/01G06K9/00
CPCG06F3/017G06V40/28G06F18/2411
Inventor 伍楷舜明仲何文锋
Owner SHENZHEN UNIV
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