A Method for Classification and Evaluation of Pilot’s Mental States Based on CNN-Reference-Cited by-同舟云学术

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A Method for Classification and Evaluation of Pilot’s Mental States Based on CNN

Published:2023 Issue:2 Volume:46 Page:1999-2020
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Wang Qianlei,Wang Zaijun,Xiong Renhe,Liao Xingbin,Tan Xiaojun

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v46n2/51615/pdf

Reference59 articles.

1. The study of aircraft accidents causes by computer simulations;Szczepaniak;Aerospace,2020

2. Detecting fatigue status of pilots based on deep learning network using EEG signals;Deng;IEEE Transactions on Cognitive and Developmental Systems,2020

3. The influence of mindfulness on mental state with regard to safety among civil pilots;Ying;Journal of Air Transport Management,2020

4. Continuous EEG decoding of pilots’ mental states using multiple feature block-based convolutional neural network;Lee;IEEE Access,2020

5. A review of human factors causations in commercial air transport accidents and incidents: From 2000 to 2016;Husam;Progress in Aerospace Sciences,2018

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2. Advancing Aviation Safety Through Machine Learning and Psychophysiological Data: A Systematic Review;IEEE Access;2024

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