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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A low-cost real-time embedded EOG-based assistive mobility system for individuals with motor function disorders.

Disability and rehabilitation. Assistive technology·2026
Same author

Unveiling the potential of banana (<i>Musa</i> spp.) improvement through genetic manipulation: current trends and future implications.

Plant signaling & behavior·2026
Same author

In Response to: Adapting Dental Education for the Gen Z: An Overview of Active Learning Strategies.

Journal of dental education·2025
Same author

Gait data generation using lightweight generative deep learning framework.

Journal of biomechanics·2025
Same author

Design of asynchronous low-complexity SSVEP-based brain control interface speller.

Computers in biology and medicine·2025
Same author

Artificial intelligence based BCI using SSVEP signals with single channel EEG.

Technology and health care : official journal of the European Society for Engineering and Medicine·2025

Related Experiment Video

Updated: Jan 9, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.6K

Fatigue-adaptive EMG interface for real-time asynchronous wheelchair navigation.

Preetha S1, Sasikala M1, Poonguzhali S1

  • 1Department of Biomedical Engineering, College of Engineering Guindy, Anna University, Chennai, Tamil Nadu, India.

Disability and Rehabilitation. Assistive Technology
|December 1, 2025
PubMed
Summary

A new surface electromyography (sEMG) system uses neck and shoulder muscles for intuitive powered wheelchair control. This cost-effective solution offers high accuracy and ease of use for individuals with mobility impairments.

Keywords:
Human-machine interface (HMI)adaptive thresholdingelectromyography (EMG)muscle fatiguereal-time wheelchair controlshoulder and neck movements

More Related Videos

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K
Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

7.9K

Related Experiment Videos

Last Updated: Jan 9, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.6K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K
Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

7.9K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroscience

Background:

  • Conventional powered wheelchair interfaces pose challenges for individuals with spinal cord injuries (SCIs), neuromuscular disorders, or stroke-related impairments.
  • Limited upper- and lower-limb mobility necessitates innovative control solutions for enhanced independence.

Purpose of the Study:

  • To develop and evaluate a lightweight surface electromyography (sEMG)-based system for intuitive and reliable powered wheelchair navigation.
  • To utilize residual neck and shoulder muscle activity for wheelchair control, offering an accessible alternative.

Main Methods:

  • A three-electrode sEMG system was implemented, targeting trapezius and sternocleidomastoid muscles.
  • Real-time signal processing using an ESP32 microcontroller with standard deviation feature extraction and dynamic thresholding for fatigue compensation.
  • Classification of five distinct wheelchair navigation commands.

Main Results:

  • Healthy participants achieved 100% accuracy, while participants with disabilities (PwDs) achieved 96.75% accuracy.
  • Information Transfer Rates (ITR) were 44.40 bits/min for healthy controls and 38.59 bits/min for PwDs.
  • All participants found the system safe, comfortable, and easy to use, reporting high satisfaction.

Conclusions:

  • The developed sEMG system provides a practical, real-time, and cost-effective solution for powered wheelchair control.
  • Minimal setup, low computational complexity, and adaptive fatigue compensation make the system suitable for daily use.
  • This technology offers a significant advancement in assistive device control for individuals with severe mobility limitations.