Monitoring cognitive performance during virtual flight training sessions is important to prevent negative experiences and ensure proper training. Due to the demanding nature of the task and reluctance of student pilots to report their cognitive state, we propose using Long Short-Term Memory Autoencoder networks for anomaly detection to monitor cognitive decline. This application adds automatic processing capabilities to the flight simulator, and the resulting information can be used by flight instructors for enhanced debriefing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Unsupervised cognitive monitoring in a mixed-reality flight simulator for smart debriefing


    Beteiligte:


    Erscheinungsdatum :

    01.06.2023


    Format / Umfang :

    1125616 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Mixed Reality Research Flight Simulator for Advanced Air Mobility Vehicles

    Zintl, Michael / Kimura, Sharina / Holzapfel, Florian | AIAA | 2024


    Mission Debriefing System

    B. I. Johansen / B. Fredborg | NTIS | 2001


    Intelligent mission debriefing

    SIPES, SID / WATKINS, KRISTI / ZIEGLER, MELANIE et al. | AIAA | 1989


    Mixed reality-based experience simulator

    KIM SEUNG JUN / KIM GWANG BIN / YEO DO HYEON et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    MIXED REALITY-BASED EXPERIENCE SIMULATOR

    KIM SEUNG JUN / KIM GWANG BIN / YEO DO HYEON et al. | Europäisches Patentamt | 2021

    Freier Zugriff