標題: An EEG-Based Brain-Computer Interface for Dual Task Driving Detection
作者: Lin, Chin-Teng
Wang, Yu-Kai
Chen, Shi-An
腦科學研究中心
Brain Research Center
關鍵字: driver distraction;SOA;EEG;ICA;SOM
公開日期: 2011
摘要: A novel detective model for driver distraction was proposed in this study. Driver distraction is a significant cause of traffic accidents during these years. To study human cognition under a specific driving task, one virtual reality (VR)-based simulation was built. Unexpected car deviations and mathematics questions with stimulus onset asynchrony (SOA) were designed. Electroencephalography (EEG) is a good index for the distraction level to monitor the effects of the dual tasks. Power changing in Frontal and Motor cortex were extracted for the detective model by independent component analysis (ICA). All distracting and non-distracting EEG epochs could be revealed the existence by self-organizing map (SOM). The results presented that this system approached about 90% accuracy to recognize the EEG epochs of non-distracting driving, and might be practicable for daily life.
URI: http://hdl.handle.net/11536/17049
ISBN: 978-3-642-24954-9
ISSN: 0302-9743
期刊: NEURAL INFORMATION PROCESSING, PT I
Volume: 7062
起始頁: 701
結束頁: 708
Appears in Collections:Conferences Paper