Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation

Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation

Mental workload is defined as the proportion of the information processing capability used to perform a task. High cognitive load requires additional resources to process information; this demand for additional resources may reduce the processing efficiency and performance. Therefore, the technique...

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Bibliographic Details
Main Authors: Youngchul Kwak, Kyeongbo Kong, Woo-Jin Song, Byoung-Kyong Min, Seong-Eun Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
electroencephalogram (EEG)
feature fusion
mental workload
working memory
Online Access:https://ieeexplore.ieee.org/document/8960298/

Internet

https://ieeexplore.ieee.org/document/8960298/

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