Development of flight simulation system based on leap motion controller

Abstract

Abstract Aiming at the problems of low precision and discontinuous interaction in traditional human-computer interaction, A natural interactive system that can be used for flight simulation is proposed, which is based on Leap Motion combined with machine learning. Firstly, a gesture Motion suitable for flight simulation is introduced, and the Leap Motion is used to collect custom interactive gesture data. Then, linear regression and local weighted regression algorithm are respectively used to fit the collected original data, so as to obtain the interactive control curve that most conforms to the experimenter. The experimental results show that the control curve obtained by linear regression and local weighted regression algorithm have increased accuracy by 21.40% and 65.27% respectively compared with the data curve obtained by the original data, which is very helpful to improve the human-computer interaction experience in flight simulation.