Research On Movement Coordination Factors Affecting Flight Simulation Performance

Background and Purpose:With the rapid development of computer technology,the application of flight simulation is no longer limited to the training of military and civilian aviation,and more and more aviation enthusiasts have access to mature flight simulation games.At present,the Department of Science and Education of the General Administration of Sports of China has officially listed flight simulation as a key sports and science project,and put flight simulation on the same level of importance as building an aviation power,which means that the country is paying more attention to basic aviation education and strengthening the training and reserve of basic aviation talents.Simulation flight as a competitive sport,the current research affecting the performance of simulation flight is mostly at the level of personality characteristics and psychological cognition of the pilot.movement coordination as an important ability of competitive sports athletes,this study intends to investigate the factors related to movement coordination that affects simulated flight performance,to clarify the basic movement coordination abilities related to flight performance,and to establish a movement coordination ability assessment framework for simulated flight athletes based on the characteristic factors associated with high simulated flight performance.This study aims to provide a reference for the training and selection of future simulated flight personnel.Methods:The test subjects were 50 male college students with simulated flight experience at an aviation university,divided into professional and novice groups according to the length of simulated flight.The 15 flight simulators in the professional group had accumulated more than 500 hours of flight simulation experience in three years;the35 novice flight simulators in the novice group had flight simulation experience but not more than 10 hours of flight simulation.The above 50 pilots were given a simulated flight test as well as several tests of motor coordination to observe the relationship between the test results related to motor coordination and simulated flight performance between the two groups.A binary classification model was then constructed using support vector machine(SVM)learning method to predict the novice/professional group with a significant gap in simulated flight performance.First,based on the p-values of the test statistics and the correlation analysis results,the feature factors related to the simulated flight performance were selected,and the SVM prediction model based on the feature factors was built and validated.Subsequently,in order to optimize the model to improve its practicality,multiple feature factors were transformed into a total score after further determining the weight of the feature factors,which was used as the final score of the simulated flight motor coordination model,and the SVM prediction model based on the total score of motor coordination ability was built and validated.Result:The results of the flight simulation test showed that the success rate of the "novice group"(30.20%)was much lower than that of the "professional group"(79.40%);the professional group had better results than the novice group in the upper limb proprioceptive test,including The error value of "elbow joint position sensation" was significantly lower than that of the novice group;the sagittal axis performance of the professional group was better than that of the novice group in the upper limb fine manipulation ability test;the error value of the professional group in depth perception was lower than that of the novice group,and the above differences were statistically significant(p<0.05).There was no statistically significant difference between the ankle proprioception professional group and the novice group;there was no statistically significant difference between the professional group and the novice group when choosing the response(p>0.05).In the correlation model between movement coordination and landing success,the scores of "depth perception" and "elbow flexion","elbow extension angle2",and upper limb fine-manipulation ability were used to predict flight performance.The accuracy of the movement coordination scores derived from the six characteristic factors of "sagittal axis low load","sagittal axis medium load" and "sagittal axis high load" in predicting the simulated flight performance was 84.61%.The accuracy of the movement coordination scores derived from the six factors of "sagittal axis low load","sagittal axis medium load" and "sagittal axis high load" was 84.61%.Conclusion:(1)Elbow proprioception,upper limb sagittal fine manipulation,and depth perception as components of movement coordination had significant effects on simulated flight performance.(2)The accuracy of the movement coordination score model constructed from the above significant difference indicators reached 84.61%,and the model was effective in predicting the simulated flight performance at the level of individual movement coordination ability.