Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling

Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling

In a human−machine cooperation system, assessing the mental workload (MW) of the human operator is quite crucial to maintaining safe operation conditions. Among various MW indicators, electroencephalography (EEG) signals are particularly attractive because of their high temporal resolution...

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Bibliographic Details
Main Authors: Jiadong Tao, Zhong Yin, Lei Liu, Ying Tian, Zhanquan Sun, Jianhua Zhang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Symmetry
Subjects:
electroencephalography
mental workload
extreme learning machine
ensemble learning
Online Access:https://www.mdpi.com/2073-8994/11/7/944

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https://www.mdpi.com/2073-8994/11/7/944

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