Efficient recognition of imagined words for patient friendly communication from EEG signals

Abstract

A primary and essential function of language is to allow us to communicate with one another. Speech is one of the most fundamental and natural ways of communication that everyone can learn. For people suffering from certain brain disorders or paralysis, verbal communication newlineis restricted even when the subject is fully aware of what he wants to communicate. To help newlinepeople suffering from neurological disorders to communicate with their external environment, newlinesome Brain-Computer Interface (BCI) systems were developed. These BCI systems have relied on the movement of an external object, such as a rotating cube. In order to help people suffering from speech impairment, there is a need for a BCI system that can infer the intended speech from the signals generated in the brain for speech communication.