Pilot Fear Detection from EEG Signals Classified by Decision Tree During Landing Conditions-Reference-Cited by-同舟云学术

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Pilot Fear Detection from EEG Signals Classified by Decision Tree During Landing Conditions

Published:2024-02-21 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)
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Author:

Turnip Arjon¹,Hidayat Darmawan²,Prasetyo Kukuh Tri³,Jeremy Giraldo Faintfmart⁴,Kusumandari Dwi Esti⁵,Taufik Mohammad⁶

Affiliation:

1. Universitas Padjadjaran Sumedang,Department of Electrical Engineering,Indonesia

2. Universitas Padjadjaran,Department Electrical Engineering,Indonesia

3. Akademi Penerbang Indonesia Banyuwangi Banyuwangi,Indonesia

4. Department of Geodesy and Geomatics Engineering Institut Teknologi Bandung Bandung,Indonesia

5. Badan Riset dan Inovasi Nasional (BRIN),Indonesia

6. Department of Electrical Engineering Universitas Padjadjaran,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511274/10512358/10512896.pdf?arnumber=10512896

Reference19 articles.

1. The impact of human factors on pilots’ safety behavior in offshore aviation companies: A brazilian case

2. The influence of mindfulness on mental state with regard to safety among civil pilots

3. How professional pilots perceive interactions of working conditions, rosters, stress, sleep problems, fatigue and mental health. A qualitative content analysis

4. Pilot Selection in Airline Organizations with the Analytical Hierarchy Process

5. Electroencephalographic monitoring in the critically ill patient: What useful information can it contribute?

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