Method for predicting continuous complex motion intention of human body based on electromyographic signal on surface layer

A technology of electromyography and complex motion, applied in the field of human-computer interaction to ensure accuracy

Active Publication Date: 2019-03-19
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a method for predicting the human body's continuous and complex movement intention based on surface electromyography signals, which can predict the movement intention of the human forearm by measuring and processing

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
  • Method for predicting continuous complex motion intention of human body based on electromyographic signal on surface layer
  • Method for predicting continuous complex motion intention of human body based on electromyographic signal on surface layer
  • Method for predicting continuous complex motion intention of human body based on electromyographic signal on surface layer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0060] Such as figure 2 As shown, the embodiment of the present invention discloses a method for predicting the continuous complex motion intention of the human body based on the surface EMG signal, which includes the following steps:

[0061] Step 1: Collect the EMG signal and the position signal of the tested hand at the same time and record them in the host PC. The specific steps are as follows figure 1 Shown:

[0062] 1) Complete the ...

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 provides a method for predicting continuous complex motion intention of the human body based on an electromyographic signal on a surface layer. By collecting the electromyographic signalon the surface layer of the upper limb of the human body, signal processing such as noise removal is carried out, the features of the electromyographic signal on the surface layer are extracted, theelectromyographic signal on the surface layer can be utilized to accurately predict three-dimensional coordinates of the upper limbs of the human body, the obtained three-dimensional position coordinates are transmitted to a robot control system, a robot performs action and feeds back to the upper limbs of the human body to achieve man-machine collaborative operation, and the problem that the simple gesture classification of the electromyographic signal on the surface layer is not suitable for continuous complex motion of the robot.

Description

Technical field [0001] The present invention relates to the technical field of human-computer interaction, and more specifically to a method for predicting the intention of continuous complex motion of the human body based on surface electromyographic signals. Background technique [0002] For patients with muscle fatigue, myasthenia gravis, muscle rigidity and muscle atrophy, the loss of mobility has become a problem for these patients. Surface EMG signal is a non-invasive measurement method of EMG information, and its application can effectively increase the patient's range of movement and self-care ability. EMG signals can establish a direct information communication channel between human limbs and external devices (such as computers, smart wheelchairs, smart vehicles and robots), and can directly transmit the intention of human limbs to external control through surface EMG signals unit. Electromyographic signals have been widely used in clinical medicine, rehabilitation med...

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): A61B5/0488A61B5/04A61B5/11B25J9/16
CPCA61B5/1116A61B5/316A61B5/389B25J9/1664
Inventor 毕路拯琚佳伟阿伯姆·金纳德·斐乐费炜杰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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