Sahar Seifzadeh - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Karim Faez - Electrical Engineering Department, AmirKabir University of Technology Tehran, Iran
Mahmood Amiri - Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran

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.

Brain Computer Interface, Motor Imagery, Graz dataset