Offline Study of Brain Computer Interfacing for Hand Movement Using OpenVIBE

Abstract

Brain Computer Interfacing is a newly developing field of neuroscience and computer science. Brain Computer Interface (BCI) is a System that provides a non-muscular communication between men and machines. Communication with BCI is done without the use of language or without controlling the computer manually with body parts. We are describing the OpenViBE platform that serves all the necessary steps required in designing typical BCI system. OpenViBE works on EEG signals to measure brain activity. EEG signals on the basis of frequencies and amplitudes are classified into different bands corresponding to different states like sleep, awake, mediation and alert. In this paper we describe the preprocessing, feature extraction, classification and conversion of signals into commands by taking prerecorded EEG signals of real hand movement and motor imaginary movement and convert it into suitable commands that are used to control virtual reality computer application.