Optimum thought translation using intelligent BCI

The field of brain computer interfaces has been emerged as a new way to simplify the lives of paralyzed, `Locked-in´ people and people with motor disabilities. Modern brain computer interfaces provide an alternative to the natural neuronal pathways that are normally used to convey the brain signals/commands to different body parts. Brain computer interfaces use the captured brain signals to automate a particular user action. Before actually using the BCI, a subject needs to be trained accordingly. Training, though beneficial for system usage, appears quite tedious for the paralyzed/Locked-in subjects. Also, as the number of activities that can be automated using BCI increases, the amount of training that needs to be given also increases. Motivated by this fact, we propose a new intelligent BCI system, which require minimum amount of training, to be given to the subject. The proposed system uses P300 brainwaves for subject thought translation. The paper gives a brief study of these P300 waves. Finally, we discuss different factors involved in implementation of such system.