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题名: An EEG-based perceptual function integration network for application to drowsy driving
作者: CH Chuang
CS Huang
CT Lin
贡献者: 國立臺灣海洋大學:資訊工程學系
关键词: Electroencephalogram
Independent component analysis
Multiple classifiers system
Drowsy driving
日期: 2015-05
上传时间: 2018-11-14T08:56:38Z
出版者: Knowledge-Based Systems
摘要: Abstract: Drowsy driving is among the most critical causes of fatal crashes. Thus, the development of an effective algorithm for detecting a driver’s cognitive state demands immediate attention. For decades, studies have observed clear evidence using electroencephalography that the brain’s rhythmic activities fluctuate from alertness to drowsiness. Recognition of this physiological signal is the major consideration of neural engineering for designing a feasible countermeasure. This study proposed a perceptual function integration system which used spectral features from multiple independent brain sources for application to recognize the driver’s vigilance state. The analysis of brain spectral dynamics demonstrated physiological evidenced that the activities of the multiple cortical sources were highly related to the changes of the vigilance state. The system performances showed a robust and improved accuracy as much as 88% higher than any of results performed by a single-source approach.
關聯: 80 pp.143-152
显示于类别:[資訊工程學系] 期刊論文


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