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dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorHuang, Kuan-Chihen_US
dc.contributor.authorChuang, Chun-Hsiangen_US
dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorJung, Tzyy-Pingen_US
dc.date.accessioned2014-12-08T15:32:21Z-
dc.date.available2014-12-08T15:32:21Z-
dc.date.issued2013-10-01en_US
dc.identifier.issn1741-2560en_US
dc.identifier.urihttp://dx.doi.org/10.1088/1741-2560/10/5/056024en_US
dc.identifier.urihttp://hdl.handle.net/11536/22717-
dc.description.abstractObjective. 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.en_US
dc.language.isoen_USen_US
dc.titleCan arousing feedback rectify lapses in driving? Prediction from EEG power spectraen_US
dc.typeArticleen_US
dc.identifier.doi10.1088/1741-2560/10/5/056024en_US
dc.identifier.journalJOURNAL OF NEURAL ENGINEERINGen_US
dc.citation.volume10en_US
dc.citation.issue5en_US
dc.citation.epageen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000324862400024-
dc.citation.woscount1-
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