Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning techniques, deep learning-based models are proposed to learn high-level feature representation for EEG visual learning...

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Bibliographic Details
Main Authors: Soyiba Jawed, Ibrahima Faye, Aamir Saeed Malik
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Raw-electroencephalogram
deep learning
machine learning
visual learner
classification
learning styles
Online Access:https://ieeexplore.ieee.org/document/10387266/

Internet

https://ieeexplore.ieee.org/document/10387266/

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