Intelligent Tutor of Helicopter Flight Simulator

DOI

10.2991/978-94-6463-040-4_82How to use a DOI?

Keywords

Helicopter; Intelligent Tutor; Simulator; Affective recognition

Abstract

At present, helicopter flight training through helicopter flight simulator has become a necessary means, but most helicopter flight simulator does not have any automatic evaluation and tutoring facilities, which makes the students' learning efficiency low. In this paper, a general-purpose intelligent tutor for helicopter flight simulator is designed, and the key technologies of the relevant functional modules of the intelligent tutor are analyzed, and the results of facial expression, speech emotion and posture emotion recognition are fused by the quadrature rule algorithm to recognize the students' emotional learning state, and based on the Recurrent Neural Network (RNN), The answer confidence calculation model of Long Short-Term Memory (LSTM) realizes intelligent question and answer function. The intelligent tutor can help the helicopter flight teaching training and improve the helicopter flight training effect effectively.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Guo-jun Lai
AU  - Yi Liang
AU  - Xiao-wei Wang
PY  - 2022
DA  - 2022/12/27
TI  - Intelligent Tutor of Helicopter Flight Simulator
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 541
EP  - 547
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_82
DO  - 10.2991/978-94-6463-040-4_82
ID  - Lai2022
ER  -