Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...

Electro-mechanical Systems

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...

Position and Displacement Vectors

Position and Displacement Vectors

To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...

Position and Displacement Vectors

Position and Displacement Vectors

To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...

Velocity and Position by Graphical Method

Velocity and Position by Graphical Method

Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to calculate...

You might also read

Related Articles

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

Sort by

Same author

Revised 16S rRNA V4 hypervariable region targeting primers enhance detection of Patescibacteria and other lineages across diverse environments.

ISME communications·2026

Same author

Gut microbial diversity and inferred capacity to produce short-chain fatty acids are associated with acute stress reactivity in healthy adults.

Neurobiology of stress·2026

Same author

Toward Brain-Computer Interface motor rehabilitation for people with Multiple Sclerosis.

Frontiers in medicine·2026

Same author

Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding.

International journal of neural systems·2025

Same author

A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data.

IEEE transactions on neural networks and learning systems·2025

Same author

Entorhinal grid-like codes for visual space during memory formation.

Nature communications·2025

Search research articles

Related Experiment Video

Updated: May 20, 2026

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

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

Published on: July 29, 2009

A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control.

Brendan Z Allison¹, Clemens Brunner, Christof Altstätter

¹Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, Graz, Austria. allison@tugraz.at

Journal of Neuroscience Methods

|July 10, 2012

Summary

This summary is machine-generated.

This study presents a novel Brain-Computer Interface (BCI) for two-dimensional cursor control using combined electroencephalography (EEG) signals: event-related desynchronization (ERD) and steady-state visually evoked potentials (SSVEP). While viable for some users, performance varied, and training did not significantly improve outcomes.

More Related Videos

VisualEyes: A Modular Software System for Oculomotor Experimentation

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Related Experiment Videos

Last Updated: May 20, 2026

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

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

Published on: July 29, 2009

VisualEyes: A Modular Software System for Oculomotor Experimentation

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Area of Science:

Neuroscience
Human-Computer Interaction
Biomedical Engineering

Background:

Brain-Computer Interfaces (BCIs) offer alternative control methods for individuals with motor impairments.
Integrating different neural signals can potentially enhance BCI performance and functionality.

Purpose of the Study:

To introduce and evaluate a novel hybrid BCI system for continuous, simultaneous 2D cursor control.
To assess the feasibility and user experience of combining ERD and SSVEP signals for BCI control.

Main Methods:

A hybrid BCI system was developed, utilizing ERD from imagined movements for vertical control and SSVEP from visual attention for horizontal control.
Ten participants underwent offline and online testing, with subjective (questionnaires) and objective (performance metrics) data collected.

Main Results:

Two participants achieved high performance levels in the 2D cursor control task.
The majority of participants did not reach high performance, and training did not yield significant improvements in subjective or objective measures.
Users generally found the hybrid task manageable, reporting it as not overly difficult or annoying.

Conclusions:

The developed hybrid BCI approach is a promising, albeit user-specific, method for 2D cursor control.
Further research is necessary to optimize BCI strategies and identify personalized approaches for individual users to maximize performance.