Mental Workload Classification Method Based on EEG Independent Component Features

Mental Workload Classification Method Based on EEG Independent Component Features

Excessive mental workload will reduce work efficiency, but low mental workload will cause a waste of human resources. It is very significant to study the mental workload status of operators. The existing mental workload classification method is based on electroencephalogram (EEG) features, and its c...

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Bibliographic Details
Main Authors: Hongquan Qu, Yiping Shan, Yuzhe Liu, Liping Pang, Zhanli Fan, Jie Zhang, Xiaoru Wanyan
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
classification of mental workload
independent component analysis (ICA)
support vector machine (SVM)
EEG
Online Access:https://www.mdpi.com/2076-3417/10/9/3036

Internet

https://www.mdpi.com/2076-3417/10/9/3036

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