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

Beyond past Ebola outbreaks: delayed detection, preparedness gaps, and the vaccine race during the 2026 Bundibugyo virus outbreak.

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

Measles resurgence in Bangladesh, 2026: A warning of fragile immunization gains.

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

Pediatric self-reported pain outcomes via texting following emergency department discharge: How does it compare to parent's perception?

Paediatrics & child health·2026
Same author

Rab24 protein levels show dynamic changes in mouse tissues and human cancers.

Cell and tissue research·2026
Same author

Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field.

Proceedings : Annual International Computer Software and Applications Conference. COMPSAC·2025
Same author

Wheelchair-mounted robotic arms: a systematic review of technical design and activities of daily living outcomes.

Disability and rehabilitation. Assistive technology·2025

Related Experiment Video

Updated: Sep 17, 2025

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.0K

EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Masud Rabbani1, Nafi Us Sabbir Sabith2, Anubhav Parida2

  • 1Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA. masud.rabbani@marquette.edu.

Scientific Reports
|July 2, 2025
PubMed
Summary

This study presents a new electroencephalogram (EEG) framework for real-time eye blink detection, classifying single and multiple blinks. The novel approach achieves high accuracy, paving the way for advanced brain-computer interfaces (BCI).

Keywords:
BCI for communication and controlBrain–computer interface (BCI)Machine learning in neuroscienceMultiple eye blink detectionReal-time eye blink classificationYOLOv8 for eye blink detection

More Related Videos

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
07:36

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Published on: September 1, 2018

24.0K
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

2.5K

Related Experiment Videos

Last Updated: Sep 17, 2025

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.0K
Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
07:36

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Published on: September 1, 2018

24.0K
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

2.5K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Machine Learning

Background:

  • Human eye blinks are a common artifact in electroencephalogram (EEG) data, often hindering analysis.
  • However, eye blink detection offers potential for brain-computer interface (BCI) applications.

Purpose of the Study:

  • To develop a novel, real-time EEG-based framework for classifying three blink states: no blink, single blink, and two consecutive blinks.
  • To establish a robust system for multiple eye blink detection applicable to BCI.

Main Methods:

  • Collected 8-channel EEG data from ten healthy participants under controlled blinking conditions.
  • Applied statistical, time-domain, amplitude-driven, and frequency-domain feature extraction methods.
  • Developed and compared XGBoost, SVM, and NN models, and utilized the YOLO model for enhanced performance.

Main Results:

  • Achieved 89.0% accuracy in classifying multiple eye blinks using machine learning models.
  • The YOLO model demonstrated superior performance with 98.67% recall, 95.39% precision, and 99.5% mAP50 for consecutive blink detection.

Conclusions:

  • This research provides foundational work for classifying multiple eye blinks using EEG.
  • The developed framework and models open new possibilities for advanced EEG-based BCI applications.