A Sensitivity Analysis Method of Physiological Signals for Assessing Pilot Workload

As the flight missions become complicated, the workload of pilots in flight is increasing gradually, which can cause extremely dangerous flight accidents. Therefore, real-time assessment of the workload of pilots in flight is necessary, but there are many factors involved in the assessment, and the assessment factors need to be selected. In this paper, by designing three kinds of flight missions with different difficulty levels, the pilot's physiological data during the flight experiments and the results of the questionnaires filled out after the experiments are collected. Then statistical hypothesis test is used to analyze whether the data changes significantly with the difficulty. The final results show that the sensitivity of the EMG, heart rate, abdomen expansion, and questionnaire results is significant, and the sensitivity of the SpO2, pulse, and chest expansion data is slightly significant. Finally, a preliminary model for pilot workload real-time assessment is established based on the fuzzy cognitive map and sensitive indicators, laying a foundation for further accurate assessment in the future.