Abstract
The primary aim of brain computer interface (BCI) is to establish communication link between computers and severely disable people those are partially or totally paralyzed (locked in state) due to neurological disorders. Recently much attention is focused on visual BCI (V-BCI) because of its low cost and minimal user training time. Characteristics of visual stimuli plays important role in V-BCI as it decides the strength of visual signals in brain and system communication rate. Recently new concept called Hybrid V-BCI emerge based on concept of combining advantages of one or more basic V-BCIs to further enhance ITR and accuracy of system. In this paper we review properties of brain signals involved in V-BCI, stimulation methods used, hybrid V-BCI and discuss current challenges in V-BCI with their possible solutions.
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