Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System.

IEEE Journal of Biomedical and Health Informatics(2017)

引用 227|浏览47
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摘要
This paper presents a two-class electroencephal-ography-based classification for classifying of driver fatigue (fatigue state versus alert state) from 43 healthy participants. The system uses independent component by entropy rate bound minimization analysis (ERBM-ICA) for the source separation, autoregressive (AR) modeling for the features extraction, and Bayesian neural network for the classifica...
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关键词
Fatigue,Electroencephalography,Vehicles,Feature extraction,Classification algorithms,Source separation,Entropy
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