Maximum Variance-based EEG Time Bin Selection for Decoding of Imagined Hand Movement Directions in Brain Computer Interface

Sagila Gangadharan K,Benzy V. K,A. P. Vinod

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)（2021）

引用 0|浏览0

暂无评分

摘要

Motor-Imagery-based Brain Computer Interface (MI-BCI) decodes the parameters of imagined motor movement and translates it into control commands to the external world. It has potential applications in neurorehabilitation and development of assistive technology. This paper investigates the Electroencephalogram (EEG) correlates of direction parameters of a center-out hand movement imagination task in...

查看译文

关键词

Support vector machines,Image segmentation,Feature extraction,Prediction algorithms,Electroencephalography,Brain-computer interfaces,Decoding

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要