title: Characteristics of motor imagery based EEG-brain computer interface using combined cue and neuro-feedback.
abstract: In this paper, we evaluated BCI algorithm using CSP for finding out about realistic possibility of BCI based on CSP. BCI algorithm that was comprised of CSP and least square linear classifier was evaluated in 10 persons. According to the result of the experiment, the effect of combined cue and neurofeedback is evaluated. In case of combined cue, the correlation of combined cue and visual cue is higher than other conditions. And in case of neurofeedback, some subject is exceptional but general trend shows the performance improvement by neurofeedback.
authors.affiliation: Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea. youngtiger@yonsei.ac.kr
authors.forename: Youngbum
authors.initials: Y
authors.lastname: Lee
authors.forename: Jinkwon
authors.initials: J
authors.lastname: Kim
authors.forename: Sangjoon
authors.initials: S
authors.lastname: Lee
authors.forename: Myoungho
authors.initials: M
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D025461:Feedback, Physiological; D006801:Humans; D008328:Man-Machine Systems