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

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

Abstract Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of brain–computer interfaces (BCI). This stud...

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Bibliographic Details
Main Authors: Masud Rabbani, Nafi Us Sabbir Sabith, Anubhav Parida, Iysa Iqbal, Sayed Mashroor Mamun, Rumi Ahmed Khan, Farhad Ahmed, Sheikh Iqbal Ahamed
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Brain–computer interface (BCI)
Multiple eye blink detection
YOLOv8 for eye blink detection
Machine learning in neuroscience
BCI for communication and control
Real-time eye blink classification
Online Access:https://doi.org/10.1038/s41598-025-07205-0
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https://doi.org/10.1038/s41598-025-07205-0

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