Abstract
Brain–Computer Interface (BCI) provides an alternate means of communication to the people who have lost control of their body due to some neuromuscular disorder and a new modality for control to healthy people. BCI detects changes in brain activity and encodes brain signals into commands to control an application of interest. Brain activity can be recorded in the form of electrophysiological signals, magnetic signals or metabolic signals. A BCI system detects, processes, identifies and classifies the brain signals and then translates these neural signals into commands. This paper discusses current state of art of BCI research, emphasises on its applications and considers various issues and challenges which make it difficult to move BCI technology from labs to home.
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