文献类型：期刊文献

英文题名：P300 Chinese input system based on Bayesian LDA

作者：Jin, Jing[1,2];Allison, Brendan Z.[1];Brunner, Clemens[1];Wang, Bei[2];Wang, Xingyu[2];Zhang, Jianhua[2];Neuper, Christa[1,3];Pfurtscheller, Gert[1]

机构：[1]Graz Univ Technol, Inst Knowledge Discovery, Lab Brain Comp Interfaces, A-8010 Graz, Austria;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[3]Graz Univ, Dept Psychol, Graz, Austria

年份：2010

卷号：55

期号：1

起止页码：5

外文期刊名：BIOMEDIZINISCHE TECHNIK

收录：;EI(收录号：20100812725287);WOS:【SCI-EXPANDED(收录号:WOS:000275183100001)】；

基金：This research was supported by the National Natural Science Foundation of China. under Grant No. 60674089 and supported by the Shanghai Leading Academic Discipline Project, Project No. B504. The authors would like to thank Gunther Bauernfeind for assistance with formatting.

语种：英文

外文关键词：Bayesian linear discriminant analysis; brain-computer interface; Chinese character input system; P300; particle swarm optimization

摘要：A brain-computer interface (BCI) is a new communication channel between humans and Computers that translates brain activity into recognizable command and control signals. Attended events can evoke P300 potentials in the electroencephalogram. Hence, the P300 has been used in BC1 systems to spell, control cursors or robotic devices, and other tacks. This paper introduces a novel P300 BCI to communicate Chinese characters. To improve classification accuracy, an optimization algorithm (particle swarm optimization, PSO) is used for channel selection (i.e., identifying the best electrode configuration). The effects of different electrode configurations on classification accuracy were tested by Bayesian linear discriminant analysis offline. The offline results from I I subjects show that this new P300 BCI can effectively communicate Chinese characters and that the features extracted from the electrodes obtained by PSO yield good performance.