A REVIEW ON CLASSIFICATION OF EEG SIGNAL DATA
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 5
Abstract
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 device 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 channels 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, on 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 classification techniques for first type of brain computing interface.
Authors and Affiliations
Pratibha Rana*
Keywords
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- EP ID EP123086
- DOI 10.5281/zenodo.51018
- Views 81
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