Predicting the Degree of Distracted Driving Based on fNIRS Functional Connectivity: A Pilot Study

Distracted driving is one of the main causes of traffic accidents. By predicting the attentional state of drivers, it is possible to prevent distractions and promote safe driving. In this study, we developed a model that could predict the degree of distracted driving based on brain activity. Changes...

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Bibliographic Details
Main Authors: Takahiko Ogihara, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Neuroergonomics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnrgo.2022.864938/full