標題: | Can arousing feedback rectify lapses in driving? Prediction from EEG power spectra |
作者: | Lin, Chin-Teng Huang, Kuan-Chih Chuang, Chun-Hsiang Ko, Li-Wei Jung, Tzyy-Ping 生物科技學系 電機工程學系 Department of Biological Science and Technology Department of Electrical and Computer Engineering |
公開日期: | 1-十月-2013 |
摘要: | 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. |
URI: | http://dx.doi.org/10.1088/1741-2560/10/5/056024 http://hdl.handle.net/11536/22717 |
ISSN: | 1741-2560 |
DOI: | 10.1088/1741-2560/10/5/056024 |
期刊: | JOURNAL OF NEURAL ENGINEERING |
Volume: | 10 |
Issue: | 5 |
結束頁: | |
顯示於類別: | 期刊論文 |