脑-机接口(BCI)中关于手指运动识别的研究
脑-机接口(BCI)中关于手指运动识别的研究
摘要
脑-机接口(BCI)的研究在近几年受到广泛的重视,在手指运动识别形成了一个研究热点。本文运用一种较为成熟的算法对自测数据进行了识别,取得了较高的正确率。在此基础上,本文对识别算法又进行了进一步的探讨。
出处
《科技信息》
2008年第5期62-62,共1页
Science & Technology Information
参考文献3
-
1G.Dornhege,B.Blankertz,G.Curio,,K.-R.Muller."Boosting Bit Rates in Noninvasive EEG Single-Trial classifications by Feature Combination and Multiclass Paradigms"[].IEEE Transactions on Biomedical Engineering.2004
-
2Y.Wang,Z.Zhang,Y.Li,X.Gao,S.Gao,,F.Yang."BCI Competition2003—Data Set IV:An Algorithm Based on CSSD and FDA for Classifying Single-Trial EEG"[].IEEE Transactions on Biomedical Engineering.2004
-
3Yong Li,Xiaorong Gao,Shangkai Gao.Classification of single-trial electroencephalogram during finger movement[].IEEE Transactions on Biomedical Engineering.2004
