Towards adaptive classification of motor imagery EEG using biomimetic pattern recognition
作者： Yanbin Ge , Yan Wu
DOI: 10.1007/978-3-642-25944-9_59
关键词: Motor imagery 、 Pattern recognition 、 Computer science 、 Pattern recognition (psychology) 、 Electroencephalography 、 Artificial intelligence 、 Scheme (programming language)
摘要: This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three operators. The BPR works well when facing problems non-stationary in on-line BCI. We have conducted some experiments scheme and results demonstrate that our new algorithm is efficiency robust compared with non-adaptive classifiers.
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sci-hub.st 参考文章(13)
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