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

sEEG-based brain-computer interfacing in a large adult and pediatric cohort.

Journal of neural engineering·2025
Same author

Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.

Journal of neural engineering·2025
Same author

Towards optimizing target engagement in non-invasive trigeminal nerve stimulation: anatomical characterization of the human trigeminal nerve.

Journal of neural engineering·2025
Same author

Detection of eye movements and eye blinks using a portable two-channel EEG platform.

Journal of neuroscience methods·2025
Same author

Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.

IEEE reviews in biomedical engineering·2024
Same author

Feasibility of Stereo EEG Based Brain Computer Interfacing in An Adult and Pediatric Cohort.

bioRxiv : the preprint server for biology·2024
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

Using an EEG-based brain-computer interface for virtual cursor movement with BCI2000.

J Adam Wilson1, Gerwin Schalk, Léo M Walton

  • 1Department of Biomedical Engineering, University of Wisconsin-Madison, WI, USA. jawilson@cae.wisc.edu

Journal of Visualized Experiments : Jove
|July 31, 2009
PubMed
Summary
This summary is machine-generated.

This study demonstrates how electroencephalogram (EEG) signals can control a computer cursor. Brain-computer interfaces (BCIs) translate neural activity into device commands for intuitive interaction.

More Related Videos

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jun 21, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCIs) enable device control via neural signals.
  • Electroencephalography (EEG) records brain activity, offering a non-invasive method for BCI.
  • Modulation of specific EEG frequency bands (mu and beta) correlates with motor imagery.

Purpose of the Study:

  • To translate electroencephalogram (EEG) signals into computer cursor control.
  • To identify and utilize specific EEG features for real-time device command generation.
  • To establish a calibration procedure for optimizing BCI performance.

Main Methods:

  • Applying EEG electrodes to record brain activity.
  • Measuring EEG signal amplitude in mu (8-12 Hz) and beta (18-28 Hz) frequency bands.
  • Using the BCI2000 system for signal acquisition, processing, and user feedback.

Main Results:

  • Identified unique EEG features that change with imagined movements during calibration.
  • Configured EEG channels to translate amplitude changes in mu and beta bands into horizontal and vertical cursor movement.
  • Demonstrated real-time detection of EEG changes for BCI control.

Conclusions:

  • EEG signals can be effectively translated into commands for controlling computer cursor velocity.
  • A personalized calibration process is crucial for optimizing BCI performance.
  • BCIs utilizing EEG hold potential for intuitive human-computer interaction.