Research on the Identification of Pilots’ Fatigue Status Based on Functional Near-Infrared Spectroscopy

Pan, Ting and Wang, Haibo and Si, Haiqing and Liu, Haibo and Xu, Mengyue (2022) Research on the Identification of Pilots’ Fatigue Status Based on Functional Near-Infrared Spectroscopy. Aerospace, 9 (3). p. 173. ISSN 2226-4310

[thumbnail of aerospace-09-00173.pdf] Text
aerospace-09-00173.pdf - Published Version

Download (4MB)

Abstract

Fatigue can lead to sluggish responses, misjudgments, flight illusions and other problems for pilots, which could easily bring about serious flight accidents. In this paper, a wearable functional near-infrared spectroscopy (fNIRS) device was used to record the changes of hemoglobin concentration of pilots during flight missions. The data was pre-processed, and 1080 valid samples were determined. Then, mean value, variance, standard deviation, kurtosis, skewness, coefficient of variation, peak value, and range of oxyhemoglobin (HbO2) in each channel were extracted. These indexes were regarded as the input of a stacked denoising autoencoder (SDAE) and were used to train the identification model of pilots’ fatigue state. The identification model of pilots’ fatigue status was established. The identification accuracy of the SDAE model was 91.32%, which was 23.26% and 15.97% higher than that of linear discriminant analysis (LDA) models and support vector machines (SVM) models, respectively. Results show that the SDAE model established in our study has high identification accuracy, which can accurately identify different fatigue states of pilots. Identification of pilots’ fatigue status based on fNIRS has important practical significance for reducing flight accidents caused by pilot fatigue.

Item Type: Article
Subjects: AP Academic Press > Engineering
Depositing User: Unnamed user with email support@apacademicpress.com
Date Deposited: 29 Mar 2023 05:55
Last Modified: 23 Sep 2024 04:06
URI: http://info.openarchivespress.com/id/eprint/837

Actions (login required)

View Item
View Item