Araştırma Makalesi

Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots

Cilt: 14 Sayı: 4 15 Ekim 2025
PDF İndir
EN TR

Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots

Öz

This study introduces a warning system designed for small training aircraft pilots flying below 10000 feet. The system detects the pilots' sleepiness/drowsiness/sleep states. If the system detects such an undesirable situation, it immediately transfers the image of that moment to the predetermined cloud service and activates the warning system consisting of audio and vibration equipment so that the pilot can escape from the current situation and recover. The warning system continues to operate until the pilot exits in that situation. The basic hardware used to implement the system is a Jetson developer kit, a Jetson Wi-Fi module, a vibration motor, a motor control circuit, and a camera. Tests of the designed system were carried out under two main headings: eye condition and head/neck position. In the tests performed according to eye condition, situations in which the eyes are constantly open (sleepiness) and situations in which the eyes are closed (drowsiness) are considered. In the tests performed with and without glasses, depending on the head/neck position, the cases of head tilting forward, backward, right, and left (sleep situation) were examined. It has been observed that the designed system successfully detects the relevant situations in all tests, both warning the pilot and sending the images of that moment to the cloud service.

Anahtar Kelimeler

Teşekkür

The authors would like to thank Dr. Mustafa KISA (Pilot), Ramazan GÖKSOY, and HAVELSAN R&D Laboratory for their contributions. This study was developed from İbrahim Halil Çoban's master's thesis, "Image processing-based pilot warning system design for small training planes.

Kaynakça

  1. İ.H. Çoban, and F.A. Kazan, Examination of Drowsiness Issue and Solution Proposals in Land and Air Vehicle Users. Proceedings of Selcuk University International Technology and Innovation Student Symposium (SUTIS), pp. 157-161, Konya, Türkiye, 07-10 December 2023.
  2.    G. Salvendy, Handbook of human factors and ergonomics. John Wiley & Sons. 2012)
  3.    X. Yan, and A. bin Abas. Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review. IECE Transactions on Intelligent Unmanned Systems, 1 (1), 4-15, 2024. https://doi.org/10.62762/TIUS.2024.767724
  4.    A. Sahayadhas, K. Sundaraj, and M. Murugappan. Detecting driver drowsiness based on sensors: a review. Sensors, 12 (12), 16937-16953, 2012. https://doi.org/ 10.3390/s121216937
  5.    B. Mandal, L. Li, G.S. Wang, and J. Lin. Towards detection of bus driver fatigue based on robust visual analysis of eye state. IEEE Transactions on Intelligent Transportation Systems, 18 (3), 545-557, 2016. https://doi.org/10.1109/TITS.2016.2582900
  6.    B. Cheng, W. Zhang, Y. Lin, R. Feng, and X. Zhang. Driver drowsiness detection based on multisource information. Human Factors and Ergonomics in Manufacturing & Service Industries, 22 (5), 450-467, 2012. https://doi.org/10.1002/hfm.20395
  7.    Z. Lan, J. Zhao, P. Liu, C. Zhang, N. Lyu, and L. Guo. Driving fatigue detection based on fusion of EEG and vehicle motion information. Biomedical Signal Processing and Control, 92, 106031, 2024. https://doi.org/10.1016/j.bspc.2024.106031
  8.    V. Häkkinen, K. Hirvonen, J. Hasan, M. Kataja, A. Värri, P. Loula, and H. Eskola. The effect of small differences in electrode position on EOG signals: application to vigilance studies. Electroencephalography and clinical neurophysiology, 86 (4), 294-300, 1993. https://doi.org/10.1016/0013-4694(93)90111-8

Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

7 Ekim 2025

Yayımlanma Tarihi

15 Ekim 2025

Gönderilme Tarihi

11 Nisan 2025

Kabul Tarihi

27 Eylül 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 14 Sayı: 4

Kaynak Göster

APA
Çoban, İ. H., & Kazan, F. A. (2025). Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 14(4), 1590-1603. https://doi.org/10.28948/ngumuh.1674005
AMA
1.Çoban İH, Kazan FA. Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots. NÖHÜ Müh. Bilim. Derg. 2025;14(4):1590-1603. doi:10.28948/ngumuh.1674005
Chicago
Çoban, İbrahim Halil, ve Fatih Alpaslan Kazan. 2025. “Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14 (4): 1590-1603. https://doi.org/10.28948/ngumuh.1674005.
EndNote
Çoban İH, Kazan FA (01 Ekim 2025) Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14 4 1590–1603.
IEEE
[1]İ. H. Çoban ve F. A. Kazan, “Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots”, NÖHÜ Müh. Bilim. Derg., c. 14, sy 4, ss. 1590–1603, Eki. 2025, doi: 10.28948/ngumuh.1674005.
ISNAD
Çoban, İbrahim Halil - Kazan, Fatih Alpaslan. “Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 14/4 (01 Ekim 2025): 1590-1603. https://doi.org/10.28948/ngumuh.1674005.
JAMA
1.Çoban İH, Kazan FA. Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots. NÖHÜ Müh. Bilim. Derg. 2025;14:1590–1603.
MLA
Çoban, İbrahim Halil, ve Fatih Alpaslan Kazan. “Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, c. 14, sy 4, Ekim 2025, ss. 1590-03, doi:10.28948/ngumuh.1674005.
Vancouver
1.İbrahim Halil Çoban, Fatih Alpaslan Kazan. Design and implementation of a warning system for detection of sleepiness/drowsiness/sleep state in pilots. NÖHÜ Müh. Bilim. Derg. 01 Ekim 2025;14(4):1590-603. doi:10.28948/ngumuh.1674005

Cited By