Drowsiness Detection and Alert System Using Wearable Dry Electroencephalography for Safe Driving

Year 2022, Volume: 9 Issue: 1, 300 - 310, 31.01.2022

Shamsul Fakhar Abd Gani

https://doi.org/10.31202/ecjse.973119

Cited By: 1

Abstract

Driver drowsiness and fatigue plays a great impact in causing road accidents. Drowsiness can lead to inattentiveness or even microsleep, which involves brief intermittent moments of sleep sometimes without the person even noticing it, and this can sometimes be fatal when driving. In this paper, a drowsiness detection an alert system is proposed to identify the drowsiness level of a driver and trigger an audible alarm, status display on LCD, and a light indicator to alert the driver. The input is captured using MindLink Neuro Sensor which is a wearable dry EEG headset which is wirelessly connected to the microcontroller. The common activities that activate certain brain wave, as well as the activities that deactivate the respective brain wave is examined and presented in the results. It can be seen that a few brain waves can be associated with drowsiness as they are triggered during yawning such as the alpha, beta, and theta waves, but the MindLink EEG headset used in this experiment featured 2 nodes placed at the front of the forehead and is most sensitive to changes in the alpha wave, so alpha wave is used as a drowsiness determinant.

Keywords

driver drowsiness, electroencephalography, brain computer interface

Supporting Institution

Universiti Teknikal Malaysia Melaka (UTeM)

Thanks

The authors would like to thank Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE) and Center for Advanced Computing Technology (C-ACT) of Universiti Teknikal Malaysia Melaka (UTeM) for supporting the work herein. Special thanks to my good friend Mustafa Yücefaydalı for the Turkish translation. The authors would also like to thank the editor and anonymous reviewers for their feedbacks in improving the quality of this work.

Güvenli Sürüş için Giyilebilir Kuru Elektroensefalografi Kullanan Uyuşukluk Algılama ve Uyarı Sistemi

Abstract

Sürücünün uyuşukluk ve yorgunluğunun yol kazalarına neden olmada büyük etkisi vardır. Uyuşukluk, dikkatsizliğe ve hatta bazen kişinin farkına bile varmadan kısa aralıklı uyku anlarını içeren mikro uykuya yol açabilir ve bu bazen araba kullanırken ölümcül olabilir. Bu yazıda, sürücünün uykululuk seviyesini belirleyen, seviye artınca sesli bir alarmı çalıştıran, LCD'de uykululuk seviyesi durum göstergesi ve sürücüyü uyarmak için bir ışıklı göstergesi olan bir uyuşukluk algılama ve uyarı sistemi önerilmiştir. Veri girişi, mikrodenetleyiciye kablosuz olarak bağlanan giyilebilir bir kuru EEG kulaklığı olan MindLink Neuro Sensor kullanılarak sağlanmıştır. Belirli beyin dalgasını aktive eden ortak faaliyetler ve ilgili beyin dalgasını devre dışı bırakan aktiviteler incelenmiş ve sonuçlarda sunulmuştur. Alfa, beta ve teta dalgaları gibi birkaç beyin dalgasının esneme sırasında tetiklendikleri için uyuşukluk ile ilişkilendirilebileceği görülebilir, ancak bu deneyde kullanılan MindLink EEG kulaklığı alnın önüne yerleştirilmiş 2 düğüm içerdiği ve en çok alfa dalgasındaki değişikliklere duyarlı olduğu için Alfa beyin dalgaları uyku hali belirleyicisi olarak kullanılmıştır.

Keywords

sürücü uyuşukluk, elektroensefalografi, beyin bilgisayar arayüzü

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