標題: An EEG-based brain-computer interface for dual task driving detection
作者: Wang, Yu-Kai
Chen, Shi-An
Lin, Chin-Teng
資訊工程學系
腦科學研究中心
Department of Computer Science
Brain Research Center
關鍵字: Brain-computer interface (BCI);Electroencephalography (EEG);Distracted driving;Independent component analysis (ICA);Self-organizing map (SOM)
公開日期: 10-Apr-2014
摘要: The development of brain-computer interfaces (BCI) for multiple applications has undergone extensive growth in recent years. Since distracted driving is a significant cause of traffic accidents, this study proposes one BCI system based on EEG for distracted driving. The removal of artifacts and the selection of useful brain sources are the essential and critical steps in the application of electroencephalography (EEG)-based BCI. In the first model, artifacts are removed, and useful brain sources are selected based on the independent component analysis (ICA). In the second model, all distracted and concentrated EEG epochs are recognized with a self-organizing map (SOM). This BCI system automatically identified independent components with artifacts for removal and detected distracted driving through the specific brain sources which are also selected automatically. The accuracy of the proposed system approached approximately 90% for the recognition of EEG epochs of distracted and concentrated driving according to the selected frontal and left motor components. (C) 2013 Published by Elsevier B.V.
URI: http://dx.doi.org/10.1016/j.neucom.2012.10.041
http://hdl.handle.net/11536/23898
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2012.10.041
期刊: NEUROCOMPUTING
Volume: 129
Issue: 
起始頁: 85
結束頁: 93
Appears in Collections:Conferences Paper


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