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Open Access

Real-time evaluation method of flight mission load based on sensitivity analysis of physiological factors

Jun CHENa( )Lei XUEaJia RONGbXudong GAOa
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Department of Data Science and AI, Monash University, Clayton, VIC 3800, Australia

Peer review under responsibility of Editorial Committee of CJA.

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Abstract

As the complexity of flight missions continues to increase, sending a timely warning or providing assistance to pilots helps to reduce the probability of operational errors and flight accidents. Monitoring pilots’ physiological data, real-time evaluation of mission load is a feasible technical way to achieve this. In this paper, a set of flight tasks including aircraft control, human-computer interaction and mental arithmetic tests are designed to simulate five mission loads at different flight difficulty levels. A sensitivity analysis method based on a comprehensive test is proposed to select a set of sensitive physiological factors. Then, based on the SVM hierarchical combination classification method, the pilot mission load real-time evaluation model is established. The test results show significant differences in EMG, respiration rate (abdomen), heart rate, blood oxygen saturation, pupil area, fixation duration, number of fixations, and saccades. The high accuracy obtained from experiments proved that the proposed real-time evaluation model is applicable to meet the requirements of real working environments. The findings can provide methodological references for mission load evaluation research in other fields.

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Chinese Journal of Aeronautics
Pages 450-463

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Cite this article:
CHEN J, XUE L, RONG J, et al. Real-time evaluation method of flight mission load based on sensitivity analysis of physiological factors. Chinese Journal of Aeronautics, 2022, 35(3): 450-463. https://doi.org/10.1016/j.cja.2021.11.010

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Received: 31 May 2021
Revised: 22 June 2021
Accepted: 08 October 2021
Published: 23 November 2021
© 2021 Chinese Society of Aeronautics and Astronautics.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).