Textual Brain-Computer Interface using EEG Signals: Conceptual Study
We propose a system where the words can be predicted using the classified brainwaves produced by cognitive
and expressive factors. The brain activities are identified by the parts of the brain that gets activated by the corresponding
action prescribed to the subject. This paper also investigates the use of virtual keyboard to predict what word the subject is
thinking. Using dynamic prediction algorithm encoded in a network of neural nets, the system is implemented. We make a
BCI that utilizes EEG signals which represent the cognitive functions activated in the brain connected to the letters though.
This approach is not only fast but also focuses on circumventing problems that are faced by the disabled (due to degeneration
of motor neurons).
Keywords - BCI, EEG, Cognitive Factors, Expressive Factors