Electroencephalography (EEG) based Brain Computer Interface (BCI) have enabled us to acquire signals from our brain and to further analyse those signals for detecting the intent of a person. Current BCIs employs several sensors to be fitted on the scalp of the user for proper acquisition of brain signals. But they still are complex to setup and are not for general use. Hence research is being carried out to get better results from the commercial available EEG devices with only a few sensors. So at the beginning of this paper we have discussed how a general BCI system is being built. For that we have used a motor imagery dataset containing brain signals recorded while a person imagined his left and right arm movement. But the main focus of the paper is towards building a BCI system to move the mouse cursor based on the Motor Imagery(MI) concept. For this we have used a commercial available EEG device to read the brain signals and applied machine learning techniques to classify the signals into a movement.
Volume 11 | 08-Special Issue
Pages: 3168-3177