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

A method and system for online gesture recognition based on surface electromyographic signals

A technology of myoelectric signals and gestures, which is applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as difficulty in balancing real-time performance and accuracy, and weak algorithm robustness, so as to avoid detection of active segments, The effect of improving the recognition accuracy and extracting a small number of samples

Active Publication Date: 2022-05-31
HUBEI UNIV OF TECH
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0018] Aiming at the problems of weak algorithm robustness and difficult balance between real-time and accuracy in the traditional online gesture recognition algorithm, the present invention provides an online gesture recognition method and system based on surface electromyography signals

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 method and system for online gesture recognition based on surface electromyographic signals
  • A method and system for online gesture recognition based on surface electromyographic signals
  • A method and system for online gesture recognition based on surface electromyographic signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

Embodiment 2

[0089] The present invention provides a combination of SVM voting method and clustering idea for action recognition. Specifically include:

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 belongs to the field of artificial intelligence technology, and discloses an online recognition method and system for gesture actions based on surface electromyographic signals, which collect the surface muscles of the four channels of triceps, anconeus, biceps, and brachioradialis in real time. Electrical signal; then perform wavelet threshold denoising processing; extract the root mean square (RMS) feature of the processed signal and the first 4-order AR model parameter features, and finally use the SVM voting method and clustering to jointly identify real-time actions. Recognition every 0.05s. The number of training samples for each action is only 10, the number of samples and the number of feature types are small, which is convenient for real-time recognition; the joint discrimination of SVM voting method and clustering thinking can improve the accuracy of recognition; the application of clustering thinking can be used to a certain extent The identification of abnormal actions was rejected.

Description

An online gesture recognition method and system based on surface electromyography signals technical field The invention belongs to technical field of artificial intelligence, relate in particular to a kind of gesture action online based on surface electromyography signal Identification method and system. Background technique [0002] At present, the closest prior art: [0003] With the development of science and technology, the research on gesture recognition technology has become a hot topic. The application of the technology has also begun to penetrate into all aspects of people's lives, which is a sign that a technology is becoming popular. Surface EMG The application areas are mainly in human-computer interaction and prosthetic control. In the traditional gesture recognition based on the surface electromyography signal, a structure similar to speech recognition is adopted, that is, the signal acquisition Set-Active Segment Detection-Feature Extraction-Classifica...

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): A61B5/11A61B5/389A61B5/397
CPCA61B5/1125A61B5/7267A61B5/389
Inventor 刘聪周淑旺费炜胡胜
Owner HUBEI UNIV OF TECH
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