Driver drowsiness detection using different classification algorithms

• Main Authors: Nor Shahrudin, Nur Shahirah, Sidek, Khairul Azami
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Physics Publishing 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/81981/1/81981_Driver%20Drowsiness%20Detection%20using%20Different%20Classification%20Algorithms.pdf; http://irep.iium.edu.my/81981/2/81981_Driver%20Drowsiness%20Detection%20using%20Different%20Classification%20Algorithms_SCOPUS.pdf; http://irep.iium.edu.my/81981/; https://iopscience.iop.org/article/10.1088/1742-6596/1502/1/012037/meta

Capability of electrocardiogram (ECG) signal in contributing to the daily application keeps developing days by days. As technology advances, ECG marks the possibility as a potential mechanism towards the drowsiness detection system. Driver drowsiness is a state between sleeping and being awake due t...