Development of SVM classifier system to make the left and right hand movement for NIRS-based BCI

Abstract

In recent years, development BCI, make an interface between machine and our brain, is widely conducted using mostly EEG. Although EEG may be successful for BCI systems, EEG measures brain wave activity that humans can’t control, so the subject needs training to use the EEG for BCI a long time. Therefore, in this study, NIRS was implemented to develop a BCI system that doesn’t require long practice time. We used a SVM classifier system that presumed the onset and offset of the task of both the left and right hand from a NIRS signal during finger motion.