Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network

Attentive learning is an important feature of the learning process. It provides a beneficial learning experience and plays a key role in generating positive learning outcomes. Most studies widely applied electroencephalogram (EEG) to measure human attention level. Although most studies use EEG handc...

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Bibliographic Details
Main Authors: Chean Khim Toa, Kok Swee Sim, Shing Chiang Tan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9400840/