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

Lin, CT; Huang, KC; Chuang, CH; Ko, LW; Jung, TP

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

Lin, CT

Huang, KC Chuang, CH

Ko, LW Jung, TP

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Publication Type:: Journal Article
Citation:: Journal of Neural Engineering, 2013, 10 (5)
Issue Date:: 2013-10-01

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Field	Value	Language
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	Huang, KC	en_US
dc.contributor.author	Chuang, CH https://orcid.org/0000-0002-5043-8380	en_US
dc.contributor.author	Ko, LW	en_US
dc.contributor.author	Jung, TP	en_US
dc.date.issued	2013-10-01	en_US
dc.identifier.citation	Journal of Neural Engineering, 2013, 10 (5)	en_US
dc.identifier.issn	1741-2560	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116955
dc.description.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. © 2013 IOP Publishing Ltd.	en_US
dc.relation.ispartof	Journal of Neural Engineering	en_US
dc.relation.isbasedon	10.1088/1741-2560/10/5/056024	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Brain	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Electroencephalography	en_US
dc.subject.mesh	Monitoring, Physiologic	en_US
dc.subject.mesh	Data Interpretation, Statistical	en_US
dc.subject.mesh	Feedback, Psychological	en_US
dc.subject.mesh	Psychomotor Performance	en_US
dc.subject.mesh	Arousal	en_US
dc.subject.mesh	Reaction Time	en_US
dc.subject.mesh	Automobile Driving	en_US
dc.subject.mesh	User-Computer Interface	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	Can arousing feedback rectify lapses in driving? Prediction from EEG power spectra	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	10	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1109 Neurosciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

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. © 2013 IOP Publishing Ltd.

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http://hdl.handle.net/10453/116955