EEG-enabled Drowsiness Detection for Human Safety


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Authors

  • Sajeed Ur Rahman University of Engineering & Technology
  • Fazal Muhammad University of Engineering & Technology

Keywords:

EEG(Electroencephalography), Node MCU, Arduino, 16x2 LCD, EEG headgear

Abstract

Drowsiness is the sense of someone being sleepy, exhausted, or unable to maintain eye contact. Lethargy, weakness, and a lack of mental flexibility can accompany drowsiness, sometimes known as undue sleepiness. Whereas most people are experiencing some level of drowsiness from time to time, chronic drowsiness or weariness, particularly when it occurs at an inconvenient moment, may hint to a sleep disorder or other medical issue.
Many roads accidents accure due to many reasons one of reason is due to which accidents accure is drossiness. Drowsiness of drivers can cause accidents due to which not only drivers but passenger life is also in danger.
This research about “Drowsiness detection system for human safety with buzzer and using EEG(Electroencephalography)explains a system that signal and apply brake accordingly” notifies him. The brain waves are collected and amplified by the EEG headgear. After that, the signals are sent to an Android app for real-time analysis. These signals are subsequently sent to the Node MCU Wi-Fi module. Furthermore, Node MCU detects the sleepiness signal. And will activate the driver’s alarm system and if any hurdle come in front of car, it will apply brake accordingly. The result in practice demonstrate that tiredness may be recognized in real time to keep the driver alert and prevent accident.

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Author Biographies

Sajeed Ur Rahman , University of Engineering & Technology

Department of Electrical Engineering, Mardan, Pakistan

Fazal Muhammad , University of Engineering & Technology

Department of Electrical Engineering,  Mardan, Pakistan

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Published

2024-12-10

How to Cite

Rahman , S. U., & Muhammad , F. (2024). EEG-enabled Drowsiness Detection for Human Safety. International Journal of Advanced Natural Sciences and Engineering Researches, 8(11), 344–349. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/2297

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Articles