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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Dettagli Bibliografici
Autori principali: Soyiba Jawed, Ibrahima Faye, Aamir Saeed Malik
Natura: Articolo
Lingua:English
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Soggetti:
Accesso online:https://ieeexplore.ieee.org/document/10387266/