[1]徐鑫,方慧娟.P300的BCI汉字在线输入系统[J].华侨大学学报(自然科学版),2015,36(3):269-274.[doi:10.11830/ISSN.1000-5013.2015.03.0269]
 XU Xin,FANG Hui-juan.A P300-Based BCI System for Online Chinese Input[J].Journal of Huaqiao University(Natural Science),2015,36(3):269-274.[doi:10.11830/ISSN.1000-5013.2015.03.0269]
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P300的BCI汉字在线输入系统()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第36卷
期数:
2015年第3期
页码:
269-274
栏目:
出版日期:
2015-05-20

文章信息/Info

Title:
A P300-Based BCI System for Online Chinese Input
文章编号:
1000-5013(2015)03-0269-06
作者:
徐鑫 方慧娟
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
XU Xin FANG Hui-juan
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
脑-机接口 汉字输入系统 二级选择模式 自然语言处理 汉字拼音
Keywords:
brain-computer interface Chinese input system two-level selection mode natural language processing Chinese phonetic alphabet
分类号:
TP391.4
DOI:
10.11830/ISSN.1000-5013.2015.03.0269
文献标志码:
A
摘要:
针对在P300的脑-机接口(BCI)汉字输入系统中输入速度较慢的问题,开发了一套新型的汉字拼音输入在线脑-机接口系统.用户界面中设计新型的二级选择模式,减小了用户在实验中的视角转移,并且将自然语言处理(NLP)技术用到此系统中,可以使此套在线系统的正确率和速度都有所提高.实验结果表明:此改进的P300-BCI系统汉字输入速率可达1.37 字·min-1,有效地提高了汉字的输入速率;随着用户使用次数增多,系统的效果会进一步得到提高,用户与外界交流将会更加方便快捷.
Abstract:
To deal with the issue of the slow speed for Chinese input in a P300-based brain-computer interface(BCI), the paper developed a new P300-based BCI system for online Chinese input. By a combination of two-level selection mode and natural language processing methods, the proposed system can not only reduce the user’s sight transfers in the experiment, but also improve the accuracy and transfer rate. The experimental results showed that an average input rate of 1.37 characters per minute was attained for above mention P300-BCI system. Besides, the more the system being used, the better the results could be achieved. It will be more convenient to communicate with the outside world for the users with the improved system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2014-04-01
通信作者: 方慧娟(1979-),女,讲师,博士,主要从事脑电信号分析与处理的研究.E-mail:huijuan.fang@163.com.
更新日期/Last Update: 2015-05-20