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e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Simulation Operation System of Civil Aviation Professional Electromechanical Equipment Based on Human-Computer Interaction

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_56,
        author={Dan Zhao and Xin Zhang},
        title={Simulation Operation System of Civil Aviation Professional Electromechanical Equipment Based on Human-Computer Interaction},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Civil aviation Simulation practice of electromechanical equipment Human computer interaction Gesture recognition},
        doi={10.1007/978-3-031-21161-4_56}
    }
    
  • Dan Zhao
    Xin Zhang
    Year: 2023
    Simulation Operation System of Civil Aviation Professional Electromechanical Equipment Based on Human-Computer Interaction
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_56
Dan Zhao1,*, Xin Zhang1
  • 1: College of Aeronautical Engineering, Beijing Polytechnic
*Contact email: bishe16@163.com

Abstract

Traditional equipment simulation operating system adopts the principle of combining real object with simulation, which has the problems of poor feedback accuracy and slow operation feedback speed. In view of the above problems, this research designs a civil aviation professional electromechanical equipment simulation and operation system based on human-computer interaction. Taking FPGA and arm as the core, the hardware part of the system is designed by connecting Kinect sensor. After the electromechanical equipment simulation model is established by using 3D Max software, the key frames in the actual operation interactive action video are extracted by using k-means clustering algorithm, and then the simulation operation gestures are recognized by combining with the expert judgment module, so as to realize the electromechanical equipment simulation operation training under human-computer interaction. Experimental results show that the feedback accuracy of the system is higher than 95%, and the feedback is sensitive, interactive and the simulation scene is clearer.

Keywords
Civil aviation Simulation practice of electromechanical equipment Human computer interaction Gesture recognition
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_56
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