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Research on Pilots ’ Mental Workload Classification in Simulated Flight Cover

Research on Pilots ’ Mental Workload Classification in Simulated Flight

By:  and    
Open Access
|May 2023

Figures & Tables

Figure 1.

Simulated flight environment experimental platform

Figure 2.

ErgoLAB EEG device

TABLE I.

INFORMATION ON THE DIALS TO BE MONITORED FOR DIFFERENT DIFFICULTY TASKS

High loadsLow loadsControl group
Indicated airspeed meterIndicated airspeed meter
Pitching scale informationPitching scale information
Altimeter informationAltimeter information
Directional angle information
Rolling corners information
Status of the steering compartment
Landing gear conditions
Engine status
Figure 3.

Flow chart of data processing

Figure 4.

Comparison of EEG waveforms before and after data processing

TABLE II.

TABLE OF FREQUENCY BANDS OF EEG SIGNALS

Frequency band range(Hz)Band names
1-4delta (δ)
4-8theta (θ)
8-13alpha (α)
13-30beta (β)
>30gamma (γ)
Figure 5.

Network model diagram

Figure 6.

LSTM structure diagram

Figure 7.

NASA-TLX evaluation results

TABLE III.

MODEL TRAINING PARAMETERS

Name of the layerHyperparametersInput vectorOutput vector
EEG_InputNone(256,1)(256,1)
Conv1DKernel size=5
stride = 2(256,1)(128,64)
Conv2DKernel size=3
stride = 2(128,64)(64,128)
ReshapeNone(64,128)(8192,1)
Max Poolingpool size=128(8192,1)(64,1)
LSTMunits=32(64,1)(32,1)
Denseunits=64(32,1)(64,1)
Denseunits=32(64,1)(32,1)
Figure 8.

Training and test set accuracy

Figure 9.

Loss rate for training and test sets

Language: English
Page range: 75 - 82
Published on: May 31, 2023
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Jinna Xue, Changyuan Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.