The paper aims to study the method for analyzing pilots'intention based on pilot behavioral and physiological data.Line of sight tracking devices and Electroencephalogram(EEG)devices are used to record the real-time visual gaze behavior and EEG signals of pilots.And the Transformer Encoder-CNN neural network model is employed to classify operational intentions.Flight training experiments were conducted in simulated flight environments.The visual gaze behavior of specific area of interest is combined with flight operation data to achieve precise detection and classification of altitude,airspeed,attitude,and heading during flight in different time periods,forming a data set of manipulation intentions for machine learning by the neural network model.The experiments show that the neural network model of this method has an accuracy of 92％in the classification and recognition of manipulation intentions,increasing by 6％.It can be concluded that the method can effectively detect the pilot's manipulation intentions.
关键词
脑电/视线追踪/神经网络/操纵意图检测
Key words
EEG(Electroencephalogram)/line of sight tracking/neural networks/manipulation intention detection
维普
万方数据