Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers

Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers

Air traffic controllers (ATC) play a critical role in ensuring aviation safety, but their demanding workload can lead to fatigue, potentially compromising their performance. This paper presents a study that investigates speech features responsible for detecting ATC fatigue and proposes an approach t...

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Bibliographic Details
Main Authors: Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Air traffic controller
continuous speech
XGBoost
recurrent neural networks
bi-LSTM
MFCC
Online Access:https://ieeexplore.ieee.org/document/10818676/
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