Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

An intelligent system with EMG-based joint angle estimation for telemanipulation.

S Suryanarayanan1, N P Reddy, V Gupta

  • 1Department of Biomedical Engineering, University of Akron, OH 44325-0302, USA.

Studies in Health Technology and Informatics
|December 9, 1995
PubMed
Summary

Researchers explored using surface electromyography (EMG) to control telemanipulators. This bio-control method accurately predicts arm joint angles for enhanced robotic control.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Oropharyngeal kinking of the tracheal tube during laparoscopic surgery.

Anaesthesia reports·2023
Same author

Association of BRCA2 variants with cardiovascular disease in Saudi Arabia.

Genetics and molecular research : GMR·2014
Same author

Attenuation characteristics of fiberoptic plates for digital mammography and other X-ray imaging applications.

Journal of X-ray science and technology·2012
Same author

Use of clinical disease activity index score for assessment of disease activity in rheumatoid arthritis patients: an Indian experience.

Arthritis·2012
Same author

Education and imaging. Gastrointestinal: giant hemorrhagic adrenal pseudocyst.

Journal of gastroenterology and hepatology·2011
Same author

Automatic segmentation of ventricular cerebrospinal fluid from ischemic stroke CT images.

Neuroinformatics·2011

Area of Science:

  • Biomedical Engineering
  • Robotics
  • Human-Computer Interaction

Background:

  • Telemanipulator control is crucial for remote operations.
  • Surface electromyography (EMG) offers a potential bio-control interface.
  • Accurate prediction of joint angles is needed for intuitive teleoperation.

Purpose of the Study:

  • To investigate surface EMG from the biceps for predicting arm joint angles.
  • To develop an intelligent system for real-time bio-control of telemanipulators.
  • To assess the accuracy of EMG-based joint angle prediction for flexion-extension movements.

Main Methods:

  • Utilized surface EMG signals from the biceps muscle.
  • Developed an intelligent system integrating neural networks and fuzzy logic.

Related Experiment Videos

  • Tested the system across various arm flexion-extension angles and speeds.

    • Main Results:

    • Achieved Root Mean Square (RMS) error below 3% during system training.
    • Demonstrated RMS error below 15% during system testing.
    • Validated the feasibility of predicting joint angles from processed EMG signals.

    Conclusions:

    • Direct bio-control using EMG is a viable strategy for telemanipulation.
    • The developed intelligent system shows promise for EMG-based robotic control.
    • This technique has significant potential for enhancing teleoperation interfaces.