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基于熟悉人脸范式的P300脑机接口字符输入系统的设计与实现

发布日期:2014-07-08| 阅读次数: | 关键字:38-4 | 作者:李健,郭冰,唐瑞阳,黄斌,张潇,李奇 | 来源:长春理工大学学报:自然科学版 2015 Vol.38(4): 111-115

基于熟悉人脸范式的P300脑机接口字符输入系统的设计与实现

李健,郭冰,唐瑞阳,黄斌,张潇,李奇

(长春理工大学计算机科学技术学院,长春130022

摘要:脑机接口系统是一种使大脑能够不依赖于外周神经和肌肉通道,与外部环境进行交互的系统。基于P300 的脑机接口字符输入系统是脑机接口技术的一种典型应用。对基于传统范式的P300 脑机接口系统进行改进,设计并实现了基于熟悉人脸范式的P300 脑机接口字符输入系统。实验建立了基于熟悉人脸的P300 脑机接口系统的信号采集与处理模型,对采集到的数据进行预处理、特征提取,并使用集成支持向量机算法对脑电信号进行分类。结果表明,除P300 电位外,熟悉人脸范式诱发出了Vpp N170 电位。与以往传统范式80.6%的字符输入正确率相比,基于熟悉人脸范式的字符输入正确率达到93.5%,具有良好的发展前景。

关键词:脑机接口;熟悉人脸范式;P300

中图分类号: TP391.4 文献标识码:A 文章编号:1672-9870201503-0111-05

 

Design and Implementation of the P300-based

Brain-computer Interface with Familiar Face Paradigm

LI JianGUO BingTANG RuiyangHUANG BinZHANG XiaoLI Qi

School of Computer Science and TechnologyChangchun University of Science and TechnologyChangchun 130022

AbstractBrain-computer interface is a interactive system which can connect with the external environment without peripheral nerves and muscles for people. The P300-based brain-computer interface system is a typical application of BCI technology. In this paperwe based on the conventional P300-based brain-computer interface systemdesigned and implemented a P300-based brain-computer interface with familiar face paradigm. We established signal acquisition and processing model based on familiar face paradigm. After data preprocessing and feature extractionwe used support vector machine ensemble to classify EEG signals. The results showed that P300-based brain-computer interface with familiar face paradigm evoked the Vpp and N170 potentials besides P300 potential. Compared with the conventional P300-based brain-computer interface system which the character input accuracy was 80.6%the familiar face paradigm character input accuracy reached 93.5%. The results proved that P300-based brain-computer interface system with familiar face paradigm has a good development prospect.

Key wordsbrain-computer interfacefamiliar face paradigmP300

 

基金项目:国家自然科学基金(61203362);大学生创新创业训练计划项目(2014S007

作者简介:李健(1989-),男,硕士研究生,E-maillijian8931@163.com

通讯作者:李奇(1977-),男,副教授,博士生导师,E-mailliqi@cust.edu.cn

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