Assessment of Driver's Driving Performance and Alertness Using EEG-based Fuzzy Neural Networks

Chin Teng Lin, Yu Chieh Chen, Ruei Cheng Wu, Sheng-Fu Liang, Teng Yi Huang

研究成果: Conference article同行評審

27 引文 斯高帕斯(Scopus)

摘要

Traffic fatalities in recent years have become a serious concern to our society. Accidents caused by drivers' drowsiness have a high fatality rate due to the decline of drivers' abilities in perception, recognition, and vehicle control abilities while sleepy. Preventing such an accident requires a technique for detecting, estimating, and predicting the level of alertness of a driver and a mechanism to maintain the driver's maximum performance of driving. This paper proposed a system that combines electroencephalogram (EEG) power spectra estimation, independent component analysis and fuzzy neural network models to estimate drivers' cognitive state in a dynamic virtual-reality-based driving environment. Experimental results show that the quantitative driving performance can be accurately and successfully estimated through analyzing driver's EEG signals by the proposed system.

原文English
文章編號1464547
頁(從 - 到)152-155
頁數4
期刊Proceedings - IEEE International Symposium on Circuits and Systems
DOIs
出版狀態Published - 2005 十二月 1
事件IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
持續時間: 2005 五月 232005 五月 26

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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