Literature DB >> 24060726

Can arousing feedback rectify lapses in driving? Prediction from EEG power spectra.

Chin-Teng Lin1, Kuan-Chih Huang, Chun-Hsiang Chuang, Li-Wei Ko, Tzyy-Ping Jung.   

Abstract

OBJECTIVE: This study explores the neurophysiological changes, measured using an electroencephalogram (EEG), in response to an arousing warning signal delivered to drowsy drivers, and predicts the efficacy of the feedback based on changes in the EEG. APPROACH: Eleven healthy subjects participated in sustained-attention driving experiments. The driving task required participants to maintain their cruising position and compensate for randomly induced lane deviations using the steering wheel, while their EEG and driving performance were continuously monitored. The arousing warning signal was delivered to participants who experienced momentary behavioral lapses, failing to respond rapidly to lane-departure events (specifically the reaction time exceeded three times the alert reaction time). MAIN
RESULTS: The results of our previous studies revealed that arousing feedback immediately reversed deteriorating driving performance, which was accompanied by concurrent EEG theta- and alpha-power suppression in the bilateral occipital areas. This study further proposes a feedback efficacy assessment system to accurately estimate the efficacy of arousing warning signals delivered to drowsy participants by monitoring the changes in their EEG power spectra immediately thereafter. The classification accuracy was up 77.8% for determining the need for triggering additional warning signals. SIGNIFICANCE: The findings of this study, in conjunction with previous studies on EEG correlates of behavioral lapses, might lead to a practical closed-loop system to predict, monitor and rectify behavioral lapses of human operators in attention-critical settings.

Entities:  

Mesh:

Year:  2013        PMID: 24060726     DOI: 10.1088/1741-2560/10/5/056024

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  9 in total

1.  Developing an EEG-based on-line closed-loop lapse detection and mitigation system.

Authors:  Yu-Te Wang; Kuan-Chih Huang; Chun-Shu Wei; Teng-Yi Huang; Li-Wei Ko; Chin-Teng Lin; Chung-Kuan Cheng; Tzyy-Ping Jung
Journal:  Front Neurosci       Date:  2014-10-13       Impact factor: 4.677

2.  Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data.

Authors:  Sangtae Ahn; Thien Nguyen; Hyojung Jang; Jae G Kim; Sung C Jun
Journal:  Front Hum Neurosci       Date:  2016-05-13       Impact factor: 3.169

3.  Sustained Attention in Real Classroom Settings: An EEG Study.

Authors:  Li-Wei Ko; Oleksii Komarov; W David Hairston; Tzyy-Ping Jung; Chin-Teng Lin
Journal:  Front Hum Neurosci       Date:  2017-07-31       Impact factor: 3.169

4.  Detecting and Quantifying Mind Wandering during Simulated Driving.

Authors:  Carryl L Baldwin; Daniel M Roberts; Daniela Barragan; John D Lee; Neil Lerner; James S Higgins
Journal:  Front Hum Neurosci       Date:  2017-08-08       Impact factor: 3.169

5.  EEG in the classroom: Synchronised neural recordings during video presentation.

Authors:  Andreas Trier Poulsen; Simon Kamronn; Jacek Dmochowski; Lucas C Parra; Lars Kai Hansen
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

6.  Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving.

Authors:  Chin-Teng Lin; Chun-Hsiang Chuang; Scott Kerick; Tim Mullen; Tzyy-Ping Jung; Li-Wei Ko; Shi-An Chen; Jung-Tai King; Kaleb McDowell
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

7.  Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving.

Authors:  Chun-Hsiang Chuang; Zehong Cao; Jung-Tai King; Bing-Syun Wu; Yu-Kai Wang; Chin-Teng Lin
Journal:  Front Neurosci       Date:  2018-03-27       Impact factor: 4.677

8.  Exploration of Brain Connectivity during Human Inhibitory Control Using Inter-Trial Coherence.

Authors:  Rupesh Kumar Chikara; Wei-Cheng Lo; Li-Wei Ko
Journal:  Sensors (Basel)       Date:  2020-03-19       Impact factor: 3.576

9.  The effects of different fatigue levels on brain-behavior relationships in driving.

Authors:  Kuan-Chih Huang; Chun-Hsiang Chuang; Yu-Kai Wang; Chi-Yuan Hsieh; Jung-Tai King; Chin-Teng Lin
Journal:  Brain Behav       Date:  2019-09-30       Impact factor: 2.708

  9 in total

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