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Real-time evaluation method of flight mission load based on sensitivity analysis of physiological factors
作者姓名:Jun CHEN  Lei XUE  Jia RONG  Xudong GAO
作者单位:1. School of Electronics and Information, Northwestern Polytechnical University;2. Department of Data Science and AI, Monash University
基金项目:co-supported by the Aeronautical Science Foundation of China (No. 2020Z023053002);;the National Natural Science Foundation of China (No. 61305133);
摘    要: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, humancomputer interaction and mental arithmetic tests are designed to simulate five mission loads at different flight d...

收稿时间:31 May 2021

Real-time evaluation method of flight mission load based on sensitivity analysis of physiological factors
Jun CHEN,Lei XUE,Jia RONG,Xudong GAO.Real-time evaluation method of flight mission load based on sensitivity analysis of physiological factors[J].Chinese Journal of Aeronautics,2022,35(3):450-463.
Institution:1. School of Electronics and Information, Northwestern Polytechnical University, Xi''an 710072, China;2. Department of Data Science and AI, Monash University, Clayton, VIC 3800, Australia
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.
Keywords:Eye movement  Mission load  Physiological data  Sensitivity analysis  Support Vector Machine (SVM)
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