Unlock instant, AI-driven research and patent intelligence for your innovation.

Gesture action on-line recognition method and system based on surface electromyogram signals

An electromyographic signal and gesture action technology, which is applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of difficulty in both real-time and accuracy, and the algorithm is not robust enough to avoid detection of active segments, Improve the recognition accuracy and the effect of extracting a small number of samples

Active Publication Date: 2019-12-10
HUBEI UNIV OF TECH
View PDF11 Cites 2 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
  • Gesture action on-line recognition method and system based on surface electromyogram signals
  • Gesture action on-line recognition method and system based on surface electromyogram signals
  • Gesture action on-line recognition method and system based on surface electromyogram signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] The invention provides an application in medical care of an online gesture recognition method based on surface electromyographic signals.

[0085] The nursing room where the medical and nursing staff of a hospital is located is separate from the ward. Patients usually live in the ward. Only when the patient needs help, such as drinking water and going to the toilet, the medical staff will take care of the patient. The patient's arm is equipped with a device for acquiring surface electromyographic signals, which will send the signals to the computer in the nursing room in real time, and the computer will judge several specific gestures through calculations. If an action is recognized twice within a relatively short period of time, it is considered that the patient needs help, and the content of each kind of help corresponds to a gesture. If you bend your elbows, you want to drink water.

[0086] In order to ensure the real-time and accuracy of recognition, an online ges...

Embodiment 2

[0089] The invention provides an action recognition by using SVM voting method and clustering idea jointly. 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 technical field of artificial intelligence, and discloses a gesture action on-line recognition method and system based on surface myoelectric signals. The method comprisesthe following steps: acquiring surface myoelectric signals of four channels including a triceps brachii muscle, a cubitus muscle, a biceps brachii muscle and a radial brachii muscle in real time; then carrying out wavelet threshold denoising; extracting root mean square (RMS) features and first four AR model parameter features of the processed signals, and finally judging real-time action by an SVM voting method and a clustering idea jointly. Gesture actions are recognized every 0.05 s. Only 10 training samples of each action are acquired, the number of samples and the number of characteristic types are small, and thus, real-time identification is facilitated; judgment is carried out by the SVM voting method and the clustering idea jointly, and the recognition accuracy can be improved; and by application of the clustering idea, the recognition to abnormal actions is denied to some extent.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a method and system for online gesture recognition based on surface electromyography signals. Background technique [0002] Currently, the closest prior art: [0003] With the development of science and technology, the research on gesture recognition technology has become a hot topic, and the application based on gesture recognition technology has also begun to penetrate into every aspect of people's life, which is a sign that a technology is becoming popular. The application fields of surface electromyography are mainly in human-computer interaction and prosthetic control. [0004] In the traditional gesture recognition based on surface electromyographic signals, a structure similar to speech recognition is adopted, that is, signal acquisition-activity segment detection-feature extraction-classification. This method needs to detect and then identify...

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): A61B5/11A61B5/0488
CPCA61B5/1125A61B5/7267A61B5/389
Inventor 刘聪周淑旺费炜胡胜
Owner HUBEI UNIV OF TECH