Smartwatch-Based Wearable EEG System for Driver Drowsiness Detection

Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Many physiological signals have been proposed to detect driver drowsiness. Among these signals, an electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus,...

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Veröffentlicht in:	IEEE sensors journal 2015-12, Vol.15 (12), p.7169-7180
Hauptverfasser:	Li, Gang, Lee, Boon-Leng, Chung, Wan-Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain models Computer simulation Devices Driver drowsiness detection Driver fatigue EEG Electrodes Electroencephalography Estimating Feature extraction Labels smartwatch support vector machine Support vector machines Vehicles Wearable wearable devices
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