Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study

Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study

In this paper, a deep-learning-based driver-drowsiness detection for brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The passive brain signals from drowsiness were acquired from 13 healthy subjects while driving a car simulator. The brain activitie...

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Bibliographic Details
Main Authors: M. Asjid Tanveer, M. Jawad Khan, M. Jahangir Qureshi, Noman Naseer, Keum-Shik Hong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Drowsiness detection
functional near-infrared spectroscopy
deep neural network
convolutional neural network
brain-computer interface
Online Access:https://ieeexplore.ieee.org/document/8846024/

Internet

https://ieeexplore.ieee.org/document/8846024/

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