摘要
脑机接口技术对脑电信号进行提取分析,将特定的脑电信号传递给外部设备执行某种功能,使大脑不用再借助于肢体去实现相应需求。基于空间选择注意的听觉BCI范式,通过相干平均和相关性分析对听觉诱发电位进行特征提取,用支持向量机(SVM)进行目标识别,取得了很好的分类效果。
The Brain-computer interface extracts and discusses electroencephalogram signals and conveys specific signals of brain activities to external devices, which makes people implement the corresponding requirements instead using their bodies. An auditory BCI based on spatial selective attention is proposed, coherent average and relevance analysis are used to extract features from auditory evoked potential and support vector machine (SVM) is used to assess the target classification accuracy which contribute to the good classification results.
出处
《天津中德职业技术学院学报》
2016年第4期35-37,共3页
Journal of Tianjin Sino-German Vocational Technical College
关键词
脑机接口
听觉诱发
相关性分析
支持向量机
Brain -computer Interface (BCI)
Auditory evoked potential
Relevance analysis
support vector machine (SVM)