AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States

L. Gicquel, O. Bartheye, L. Fabre

2024

Abstract

This study proposes an artificial intelligence (AI) system to enhance aviation safety by monitoring pilot neuropsychological states in real-time to address human errors in critical situations. Focusing on light aeronautics as a simplified model, the system aims to monitor and assess the neuropsychological state of the pilots throughout flights, in order to assist the pilots in critical situations, offer solutions, and possibly prevent incidents from happening. Our first approach involves the identification of cognitive factors and electrophysiological correlates that influence pilot performance in extreme conditions. The data is extracted from EEG, ECG, and EOG, combined with camera tracking technologies. This method aims to bridge the current gap between laboratory research and practical application, ensuring that pilots operate safely even in demanding flight conditions.

Paper Citation

in Harvard Style

Gicquel L., Bartheye O. and Fabre L. (2024). AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States. In Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-724-5, SciTePress, pages 80-87. DOI: 10.5220/0012977800004562

in Bibtex Style

@conference{iccas24,
author={L. Gicquel and O. Bartheye and L. Fabre},
title={AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States},
booktitle={Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2024},
pages={80-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012977800004562},
isbn={978-989-758-724-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS
TI - AI in Flight: Advancing Aviation Safety Through Real-Time Monitoring of Pilots’ Neuropsychological States
SN - 978-989-758-724-5
AU - Gicquel L.
AU - Bartheye O.
AU - Fabre L.
PY - 2024
SP - 80
EP - 87
DO - 10.5220/0012977800004562
PB - SciTePress