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

Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

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

Sort by
Same author

A Wilson-Cowan reservoir computer for interpretable spatiotemporal vision.

Scientific reports·2026
Same author

Silent evolution: β-lactam resistance acquisition in a virulent Salmonella enterica paratyphi B during systemic therapy despite clinical cure; A case report.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026
Same author

Engineered Small Extracellular Vesicles Targeting Tumor-Associated Endothelial Cells to Effectively Remodel the Glioma Microenvironment.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Exosomal microRNA-448 suppresses the malignant behaviors of liver cancer cells by targeting RAB7A and inhibiting glycolysis.

Oncology letters·2026
Same author

Oncoprotein SND1-enriched exosomes facilitate melanoma lung metastasis by regulating CD47-SIRPα-mediated macrophage reprogramming.

Cancer letters·2025
Same author

Exosome Carrying OCT4/miR-1246/β-catenin Deriving From HBV Infected Hepatocytes Accelerated Liver Fibrosis.

Journal of biochemical and molecular toxicology·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

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

10.4K

Steady-State Visual Evoked Potential-Based Brain-Computer Interface System for Enhanced Human Activity Monitoring and

Yuankun Chen1, Xiyu Shi1, Varuna De Silva1

  • 1Institute for Digital Technologies, Loughborough University London, London E20 3BS, UK.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new dataset for steady-state visual evoked potentials (SSVEPs) brain-computer interfaces (BCIs). The developed SSVEP-BCI system enables hands-free control for monitoring and assisted living applications.

Keywords:
BCIEEGSSVEPbrain patternbrainwave activityhuman activity monitoring

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

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

Published on: November 24, 2015

13.1K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K

Related Experiment Videos

Last Updated: May 7, 2026

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

10.4K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

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

Published on: November 24, 2015

13.1K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K

Area of Science:

  • Neuroscience
  • Computer Science
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCIs) are advancing, with artificial intelligence enhancing brain activity pattern detection.
  • Steady-state visual evoked potentials (SSVEPs) show promise for human activity monitoring and identification within BCIs.
  • A scarcity of public electroencephalogram (EEG) datasets hinders the development of SSVEP-based BCIs for applications like assisted living.

Purpose of the Study:

  • To introduce an open-access, multicategory EEG dataset utilizing the SSVEP-BCI paradigm.
  • To investigate brain responses to visual stimuli representing directional control commands.
  • To demonstrate the feasibility of SSVEP-BCIs for human activity monitoring and assessment.

Main Methods:

  • Participants performed directional movements (forward, backward, left, right) in a Unity-based virtual environment to simulate control commands.
  • An SSVEP-BCI system was developed to enable participants to control a virtual target using only their brain activity.
  • EEG data was collected under the SSVEP-BCI paradigm, focusing on multicategory classification.

Main Results:

  • The developed SSVEP-BCI system achieved high accuracy in classifying brainwave activity.
  • Preliminary results indicate successful classification of 89.88% of brainwave activity.
  • The system demonstrated effective hands-free control of a virtual target within the simulated environment.

Conclusions:

  • The study successfully provides a valuable open-access EEG dataset for SSVEP-BCI research.
  • The developed SSVEP-BCI system proves the feasibility of using brain activity for hands-free control in monitoring and assessment.
  • This work paves the way for enhanced human activity monitoring and assisted living solutions leveraging SSVEP-BCIs.