作者
Abu Saleh Musa Miah, Saadaldeen Rashid Ahmed Ahmed, Mohammed Rashid Ahmed, Oğuz Bayat, Adil Deniz Duru, Md Khademul Islam Molla
发表日期
2019/4/24
研讨会论文
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT)
页码范围
1-7
出版商
Ieee
简介
Brain Computer interface (BCI) is thought as a better way to link within brain and computer alternative machine. Many types of physiological signal will work BCI framework. Motor imagery (MI) has incontestable to be a excellent way to work a BCI system. Recent research concerning MI based mostly BCI framework, lower performance accuracy and intense of time have common issues. Main focuses of this paper is select the appropriate central point of tangent space in Tangent Space Linear Discriminant analysis-based Motor-Imagery Brain-Computer interfacing. Method name tangent space mapping LDA (TSMLDA) analysis takes its moves from the observations that normally, the EEG signal embodies outliers, so the centrality as a geometric mean of tangent space might not be the simplest alternative. We tend to propose the employment of strong estimators of variance matrices average. Specifically, Median …
引用总数
2020202120222023202412742
学术搜索中的文章
ASM Miah, SRA Ahmed, MR Ahmed, O Bayat, AD Duru… - 2019 Scientific Meeting on Electrical-Electronics & …, 2019