EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings

EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings

Car driving is considered a very complex activity, consisting of different concomitant tasks and subtasks, thus it is crucial to understand the impact of different factors, such as road complexity, traffic, dashboard devices, and external events on the driver’s behavior and performance. For this rea...

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Bibliographic Details
Main Authors: Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Nicolina Sciaraffa, Paola Lanzi, Simone Pozzi, Valeria Vignali, Claudio Lantieri, Arianna Bichicchi, Andrea Simone, Fabio Babiloni
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Human Neuroscience
Subjects:
electroencephalography
mental workload
human factor
machine-learning
asSWLDA
neuroergonomics
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2018.00509/full

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https://www.frontiersin.org/article/10.3389/fnhum.2018.00509/full

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