Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset

Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset

The detection of the human mental fatigue state holds immense significance due to its direct impact on work efficiency, specifically in system operation control. Numerous approaches have been proposed to address the challenge of fatigue detection, aiming to identify signs of fatigue and alert the in...

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Bibliographic Details
Main Authors: Walaa Othman, Batol Hamoud, Nikolay Shilov, Alexey Kashevnik
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
operator fatigue detection
computer vision
physiological indicator
machine learning
Online Access:https://www.mdpi.com/2076-3417/14/22/10510
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