@inbook{e58a8546fc0e4844ab7f10ff0492fd6b,
title = "Artificial intelligence to enhance a brain computer interface",
abstract = "This paper discusses an investigation carried out in designing and testing neurorehabiliatory communication interfaces for nonverbal quadriplegic and other clinically brain damaged persons. For many years this group of people could not communicate with the outside world and this was accepted as norm. This important study collected the information from neurologically disabled persons by conducting simple communication tasks and created interfaces for communicating with the outside world for the very first time. The study was conducted in two phases the first phase being an exploratory study and second phase being the new improved version taking into account the results from the first phase. It was proved from the first phase of the study that every disabled person is an individual and cannot be grouped in any way when designing interfaces. It was also discovered that the users found the brain body interface impossible to use without artificial intelligence support to steer the cursor on a computer screen",
author = "Paul Gnanayutham and C. Bloor and G. Cockton",
note = "Additional Information: Book title is a 4 volume set.",
year = "2003",
month = sep,
language = "English",
isbn = "9780805849349",
series = "Human factors and ergonomics",
publisher = "Lawrence Erlbaum Associates",
pages = "1397--1401",
editor = "C. Stephanidis",
booktitle = "HCI International 2003 proceedings",
}