A REVIEW ON CLASSIFICATION OF EEG SIGNAL DATA

A Brain computing system is a communication channel between the human or animal brain and external environment; it’s a collaboration in which brain controls a mechanical devic e as a natural part of its representation of the body. It is a type of communication which practically uses both software and hardware systems for the communication. It’s the type of system which provides a new way of communication between non - muscular cha nnels with the external hardware. Basically Brain computing system is broadly divided into two major categories 1) EEG data signal based pattern recognition approach which actually train the particular brain mental stage and machine observe this pattern, o n the behalf on this pattern machine further labels mental state of mind using the classification of pattern. 2) The apparent conditioning approach based on the self - recognition of the EEG signal response. In this paper we review some of the classificatio n techniques for first ty pe of brain computing interface .