摘要
以Matlab软件为平台,搭建了一种基于视觉刺激的实时脑机接口系统,选用共空间模式和支持向量机做实时信号处理,对5名被试各进行3次实验。实验结果表明:实时系统的最高正确率为90%,平均正确率为83%;采用的特征提取和模式识别算法具有较高的实时识别正确率和识别速度,设计的系统具有较高的可行性。
An online system for brain computer interface based on visual stimulation is built on the Matlab platform. The online signal processing is done by using common space model and support vector machine. The test results show that the highest accurate rate of real time system is 90%, the average correct rate of the real-time system is 83% and the system designed in this paper and the feature extraction and pattern recognition algorithm has a high recognition rate and recognition speed. It can meet the requirements of online system and classification of brain computer interface.
出处
《天津职业技术师范大学学报》
2016年第4期1-4,共4页
Journal of Tianjin University of Technology and Education
基金
国家自然科学基金资助项目(61178081)
天津市应用基础与前沿计划重点项目(C14JCZDJC36300)
关键词
视觉刺激
运动想象
实时系统
visual stimulation
motor imagery
online system
