Predicting text entry for brain-computer interface

Abstract

A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways consisting of nerve and muscles. This is particularly useful for facilitating communication for people are totally paralyzed. However, it is hard to practical use because low communication rate. Therefore, in this paper, we propose a method to speed up text entry in BCI using a statistical language model. © 2011 Springer-Verlag.