Drowsiness detection and alert system using wearable EEG sensor for safe driving

Ahmad, Muhammad Amir (2020) Drowsiness detection and alert system using wearable EEG sensor for safe driving. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Major factor that cause road accident is drowsiness. This can be prevented if the driver get enough sleep before driving, consume energy drink or coffee and resting when experiencing drowsiness. Most regular method used to detect sleepiness is by eyelid blinking and ECG. The main purpose of this project is to create a system that can identify a driver that experiencing drowsiness. The techniques use is based on real-time system that monitoring and analysis the EEG signal from driver that wearing EGG headband. By using this system, we are able to identify the drowsiness level. When the signal from EEG sensor is process and identify the drowsiness, the system will alert driver by producing audible alarm, displaying on LCD and generating light indicator. This project is using an Arduino as microcontroller. By using this technique, it can give precise measurement. This method is less complex, time efficiency and more affordable

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