Fatigue Detection of XYZ Drivers based on Human Brain Wave EEG Signals
Abstract
The cause of death due to traffic accidents is
now increasingly common. One of the main factors causing this
accident is driver fatigue. This can happen because the driver
is not aware of his tired mental state. Of course mental fatigue
can cause a lack of concentration while driving. This mental
fatigue can be detected by analyzing the brain waves through
the EEG signal from the driver. This brain wave analysis can
be done by various methods. In this study, the authors
conducted a brain wave-based detection of mental fatigue
using the Fourier transform and Support Vector Machine. The
EEG signal data will be feature extracted using the Fourier
Transform. Then, the results of this extraction will be used for
the classification process with the Support Vector Machine
method. Based on the experimental results, the classification of
mental fatigue using a Support Vector Machine with a linear
kernel obtained an average accuracy of 85%.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Jurnal Teknologi Informasi dan Terapan (J-TIT) and Department of Information Technology, Politeknik Negeri Jember as publisher of the journal. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. Authors should sign a copyright transfer agreement when they have approved the final proofs sent by Jurnal Teknologi Informasi dan Terapan (J-TIT) prior to the publication. The copyright transfer agreement can be download here .
Jurnal Teknologi Informasi dan Terapan (J-TIT) and Department of Information Technology, Politeknik Negeri Jember and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Teknologi Informasi dan Terapan (J-TIT) are the sole responsibility of their respective authors and advertisers.
Users of this website will be licensed to use materials from this website following the Creative Commons Attribution 4.0 International License. No fees charged. Please use the materials accordingly.
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
