A Diminutive Suggestion for Real-time Graz Cue-based Brain Computer Interface

THese days, Brain Computer interface known as BCI is one of most challenging issue in neuroscience researches. The principal goal of these systems are providing a non-muscular pathway which contribute to direct interaction with environment for physically-challenged people. In this paper, we propose a suggestion for real time implementation of Graz 2a dataset in real world. This dataset has four predefined classes of Motor Imagery task itself, We uphold the notion thatwe should adopt a particular class as a fifth class for No-movement which lead wheelchair to stop or No-movement when user does not do any predefined Motor Imagery tasks to better performance and adopt a decision more naturally in real world.

Keywords:

Brain Computer Interface , Motor Imagery , Graz dataset