Classification of Visual and Non-visual Learners Using Electroencephalographic Alpha and Gamma Activities

Classification of Visual and Non-visual Learners Using Electroencephalographic Alpha and Gamma Activities

This study analyzes the learning styles of subjects based on their electroencephalo-graphy (EEG) signals. The goal is to identify how the EEG features of a visual learner differ from those of a non-visual learner. The idea is to measure the students’ EEGs during the resting states (eyes open and eye...

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Bibliographic Details
Main Authors: Soyiba Jawed, Hafeez Ullah Amin, Aamir Saeed Malik, Ibrahima Faye
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
EEG study
learning styles
visual learner
feature extraction
classification
Online Access:https://www.frontiersin.org/article/10.3389/fnbeh.2019.00086/full

Internet

https://www.frontiersin.org/article/10.3389/fnbeh.2019.00086/full

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