Research on Detection Algorithm for Student Pilots'Visual Perception State
A visual perception state detection approach based on implicit semi-Markov modeling is presented to address real-time and accuracy limitations of traditional methods used in student pilot training.From the perspective of visual perception,the paper explores the changes in student pilots'visual gaze when they perform different flight tasks and their gaze rule scanning strategies in different contexts.The proposed model successfully combines the implicit state with temporal correlation,achieving real-time detection of student pilot's visual perception state.The results show that in the same task scenario,this method exhibits an accuracy of 93.55％,increasing by 13.55％compared to the hidden Markov model,and there is a significant improvement in its detection performance.
visual perceptionsimulation trainingstate detectionhidden semi-Markov model
万方数据
维普
