Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring › Research Explorer

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Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.3390/s24216805
Final published version

Alexey Kashevnik
Svetlana Kovalenko
Anton Mamonov
Batol Hamoud
Aleksandr Bulygin
Vladislav Kuznetsov
Irina Shoshina
Ivan Brak
Gleb Kiselev

Original language	English
Article number	6805
Journal	Sensors
Volume	24
Issue number	21
DOIs	https://doi.org/10.3390/s24216805
Publication status	Published - 23 Oct 2024

Research areas

Humans, Mental Fatigue/diagnosis, Eye Movements/physiology, Machine Learning, Eye-Tracking Technology, Male, Adult, Algorithms, Female

OECD FOS+WOS

1.04.HQ ELECTROCHEMISTRY
1.04.EA CHEMISTRY, ANALYTICAL
2.02.IQ ENGINEERING, ELECTRICAL & ELECTRONIC
2.11.OA INSTRUMENTS & INSTRUMENTATION

ID: 61106477