A Review on EEG Based Brain Computer Interface Systems

A Brain Computer Interface (BCI) system takes and classifies a user’s brain activity into a signal to which a computer can respond. To control a BCI, the user should produce various brain activity patterns which are captured in form of Electroencephalogram (EEG) and converted to commands by identifying the patterns by the system. Such classification was undertaken by various methods, and performed by machine learning algorithms; the most common being Multilayer Perceptrons. To begin with BCIs provided those with severe physical disabilities ways to communicate/interact with computers. Most of the BCI research focused on able-bodied users and EEG based BCI systems. Many papers that are published on BCIs are more theoretical than actual implementation of actual system. This paper, surveys various BCI systems available in literature. Keywords—Brain Computer Interface (BCI), Electroencephalogram (EEG), Evoked Potentials