Literature DB >> 8404838

The use of psychophysiology to assess driver status.

K A Brookhuis1, D de Waard.   

Abstract

Twenty subjects completed an on-the-road driving experiment, consisting of two different tests conducted on two separate days. A two-part test was administered while subjects were under the influence of alcohol (BAC < = 0.05%); a four-part test was administered without alcohol consisting of a 2.5 h driving test under vigilance conditions on a quiet highway. The order of the tests was balanced across subjects. Changes in relevant physiological parameters, such as ECG and EEG, reflected changes in driver status and predicted driving impairment. Impairment of driving performance was measured in a standard driving test (SD lateral position and SD steering wheel movements) and in a recently developed car-following test (reaction to speed changes of a leading car).

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Year:  1993        PMID: 8404838     DOI: 10.1080/00140139308967981

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  11 in total

1.  EEG classification of driver mental states by deep learning.

Authors:  Hong Zeng; Chen Yang; Guojun Dai; Feiwei Qin; Jianhai Zhang; Wanzeng Kong
Journal:  Cogn Neurodyn       Date:  2018-07-18       Impact factor: 5.082

2.  Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System.

Authors:  Jorge Leite; Leon Morales-Quezada; Sandra Carvalho; Aurore Thibaut; Deniz Doruk; Chiun-Fan Chen; Steven C Schachter; Alexander Rotenberg; Felipe Fregni
Journal:  Int J Neural Syst       Date:  2017-04-11       Impact factor: 5.866

3.  The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.

Authors:  Benjamin Blankertz; Michael Tangermann; Carmen Vidaurre; Siamac Fazli; Claudia Sannelli; Stefan Haufe; Cecilia Maeder; Lenny Ramsey; Irene Sturm; Gabriel Curio; Klaus-Robert Müller
Journal:  Front Neurosci       Date:  2010-12-08       Impact factor: 4.677

4.  EEG-derived estimators of present and future cognitive performance.

Authors:  Maja Stikic; Robin R Johnson; Daniel J Levendowski; Djordje P Popovic; Richard E Olmstead; Chris Berka
Journal:  Front Hum Neurosci       Date:  2011-08-05       Impact factor: 3.169

5.  Effects of stimulant drugs on actual and simulated driving: perspectives from four experimental studies conducted as part of the DRUID research consortium.

Authors:  J G Ramaekers; K P C Kuypers; W M Bosker; K A Brookhuis; J A Veldstra; R Simons; M Martens; M Hjälmdahl; A Forsman; A Knoche
Journal:  Psychopharmacology (Berl)       Date:  2012-06-15       Impact factor: 4.530

6.  Driving Drowsiness Detection Using Fusion of Electroencephalography, Electrooculography, and Driving Quality Signals.

Authors:  Seyed Mohammad Reza Noori; Mohammad Mikaeili
Journal:  J Med Signals Sens       Date:  2016 Jan-Mar

7.  A comparison of ground reaction force components according to the foothold heights in 16-t truck during downward step.

Authors:  Seung-Hyun Hyun; Che-Cheong Ryew
Journal:  J Exerc Rehabil       Date:  2017-12-27

8.  Dual Frequency Head Maps: A New Method for Indexing Mental Workload Continuously during Execution of Cognitive Tasks.

Authors:  Thea Radüntz
Journal:  Front Physiol       Date:  2017-12-08       Impact factor: 4.566

9.  How Physical Activities Affect Mental Fatigue Based on EEG Energy, Connectivity, and Complexity.

Authors:  Rui Xu; Chuncui Zhang; Feng He; Xin Zhao; Hongzhi Qi; Peng Zhou; Lixin Zhang; Dong Ming
Journal:  Front Neurol       Date:  2018-10-31       Impact factor: 4.003

10.  EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.

Authors:  Greg Rupp; Chris Berka; Amir H Meghdadi; Marija Stevanović Karić; Marc Casillas; Stephanie Smith; Theodore Rosenthal; Kevin McShea; Emily Sones; Thomas D Marcotte
Journal:  Front Hum Neurosci       Date:  2019-01-15       Impact factor: 3.169

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