EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm

•A deep model-based mental workload estimation from EEG has been implemented.•The proposed model uses GWO & deep BLSTM-LSTM for producing effective results.•Evaluation is done based on two tasks: No task & SIMKAP-based multitasking activity.•The proposed model achieves 86.33% and 82.57% accu...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 60; p. 101989
Main Authors:	Das Chakladar, Debashis, Dey, Shubhashis, Roy, Partha Pratim, Dogra, Debi Prosad
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2020
Subjects:	BCI Electroencephalogram GWO LSTM Mental workload BCI LSTM Electroencephalogram Mental workload GWO
ISSN:	1746-8094, 1746-8108, 1746-8108
Online Access:	Get full text
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