A Pilot Workload Evaluation Method Based on EEG Data and Physiological Data

With the increasing complexity of today's battlefield environment, the workload level of the pilots greatly affects the smooth execution of flight tasks. When a pilot's workload is too high, it can cause his ability to sense the surrounding environment to be reduced, and even cause extremely dangerous flight accidents. Based on experiments and statistics, the sensitivity of the pilot's EEG (electroencephalography) and physiological factors under different flight tasks is analyzed, and a pilot workload evaluation model is established based on the SVM (support vector machines) classifier.