Analyzing Multi-Mode Fatigue Information from Speech and Gaze Data from Air Traffic Controllers

Analyzing Multi-Mode Fatigue Information from Speech and Gaze Data from Air Traffic Controllers

In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machine (FSVM). To supplement the basis for discrimi...

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Bibliographic Details
Main Authors: Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang, Ying Nan
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Aerospace
Subjects:
fatigue recognition
air traffic controller
feature fusion
multi-mode
Online Access:https://www.mdpi.com/2226-4310/11/1/15

Internet

https://www.mdpi.com/2226-4310/11/1/15

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