EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications

EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications

Human errors are widely considered among the major causes of road accidents. Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and permanent injuries are directly related to mental tiredness, fatigue, and drowsiness of the drivers. In particular, driving drowsiness is...

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Bibliographic Details
Main Authors: Gianluca Di Flumeri, Vincenzo Ronca, Andrea Giorgi, Alessia Vozzi, Pietro Aricò, Nicolina Sciaraffa, Hong Zeng, Guojun Dai, Wanzeng Kong, Fabio Babiloni, Gianluca Borghini
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Human Neuroscience
Subjects:
cognitive neuroscience
drowsiness
human factor
EEG
neurometrics
road safety
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.866118/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2022.866118/full

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