Fatigue Detection of XYZ Driver based on Human Brain Wave EEG Signals

Choirunnisa, Shabrina and Widiawan, Beni and Yogiswara, Yogiswara and Wiryawan, I Gede and Susanto, Bekti Maryuni and Purwadi, Agus (2022) Fatigue Detection of XYZ Driver based on Human Brain Wave EEG Signals. Jurnal Teknologi Informasi dan Terapan (J-TIT), 9 (2). ISSN 2354-838X

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Abstract

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 condition. Of course, mental fatigue can cause a lack of concentration while driving. Analyzing the brain waves through the EEG signal from the driver can be one of solution to detect the mental fatigue. 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 average accuracy of mental fatigue obtained 85%.

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