A Brain Computer Interface for eInclusion and eHealth.

Jean Daly, Elaine Armstrong, Eileen Thomson, Suzanne Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain Computer Interfaces enable people with disability to accesscomputer technology, when traditional modes are beyond their ability. This noveltechnology, uses brain waves to initiate the software, enabling people with acquiredbrain injury (ABI) to access applications for eHealth and eInclusion. This paperreports on the outcome of research with target end users and a control population todevelop applications for communication, cognitive rehabilitation, social media andenvironmental control. Adopting a user centred approach we found that the controlgroup achieved an average accuracy of 82.6% and end users achieved 74% over thefour tasks. The findings illustrated that BCI systems are operational for users withABI and numerous recommendations were made to support developer’s move thesesystems towards use in a domestic environment.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsPaul Cunningham, Miriam Cunningham
Number of pages7
Publication statusPublished - 29 Oct 2014
EventeChallenges2014 - Belfast
Duration: 29 Oct 2014 → …

Conference

ConferenceeChallenges2014
Period29/10/14 → …

Fingerprint

Brain computer interface
Patient rehabilitation
Brain
Communication

Keywords

  • Brain computer interface
  • acquired brain injury
  • eHealth

Cite this

Daly, J., Armstrong, E., Thomson, E., & Martin, S. (2014). A Brain Computer Interface for eInclusion and eHealth. In P. Cunningham, & M. Cunningham (Eds.), Unknown Host Publication
Daly, Jean ; Armstrong, Elaine ; Thomson, Eileen ; Martin, Suzanne. / A Brain Computer Interface for eInclusion and eHealth. Unknown Host Publication. editor / Paul Cunningham ; Miriam Cunningham. 2014.
@inproceedings{b765b09b0a8a4323b9fd9dd834caf948,
title = "A Brain Computer Interface for eInclusion and eHealth.",
abstract = "Brain Computer Interfaces enable people with disability to accesscomputer technology, when traditional modes are beyond their ability. This noveltechnology, uses brain waves to initiate the software, enabling people with acquiredbrain injury (ABI) to access applications for eHealth and eInclusion. This paperreports on the outcome of research with target end users and a control population todevelop applications for communication, cognitive rehabilitation, social media andenvironmental control. Adopting a user centred approach we found that the controlgroup achieved an average accuracy of 82.6{\%} and end users achieved 74{\%} over thefour tasks. The findings illustrated that BCI systems are operational for users withABI and numerous recommendations were made to support developer’s move thesesystems towards use in a domestic environment.",
keywords = "Brain computer interface, acquired brain injury, eHealth",
author = "Jean Daly and Elaine Armstrong and Eileen Thomson and Suzanne Martin",
year = "2014",
month = "10",
day = "29",
language = "English",
isbn = "978-1-905824-45-8",
editor = "Paul Cunningham and Miriam Cunningham",
booktitle = "Unknown Host Publication",

}

Daly, J, Armstrong, E, Thomson, E & Martin, S 2014, A Brain Computer Interface for eInclusion and eHealth. in P Cunningham & M Cunningham (eds), Unknown Host Publication. eChallenges2014, 29/10/14.

A Brain Computer Interface for eInclusion and eHealth. / Daly, Jean; Armstrong, Elaine; Thomson, Eileen; Martin, Suzanne.

Unknown Host Publication. ed. / Paul Cunningham; Miriam Cunningham. 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Brain Computer Interface for eInclusion and eHealth.

AU - Daly, Jean

AU - Armstrong, Elaine

AU - Thomson, Eileen

AU - Martin, Suzanne

PY - 2014/10/29

Y1 - 2014/10/29

N2 - Brain Computer Interfaces enable people with disability to accesscomputer technology, when traditional modes are beyond their ability. This noveltechnology, uses brain waves to initiate the software, enabling people with acquiredbrain injury (ABI) to access applications for eHealth and eInclusion. This paperreports on the outcome of research with target end users and a control population todevelop applications for communication, cognitive rehabilitation, social media andenvironmental control. Adopting a user centred approach we found that the controlgroup achieved an average accuracy of 82.6% and end users achieved 74% over thefour tasks. The findings illustrated that BCI systems are operational for users withABI and numerous recommendations were made to support developer’s move thesesystems towards use in a domestic environment.

AB - Brain Computer Interfaces enable people with disability to accesscomputer technology, when traditional modes are beyond their ability. This noveltechnology, uses brain waves to initiate the software, enabling people with acquiredbrain injury (ABI) to access applications for eHealth and eInclusion. This paperreports on the outcome of research with target end users and a control population todevelop applications for communication, cognitive rehabilitation, social media andenvironmental control. Adopting a user centred approach we found that the controlgroup achieved an average accuracy of 82.6% and end users achieved 74% over thefour tasks. The findings illustrated that BCI systems are operational for users withABI and numerous recommendations were made to support developer’s move thesesystems towards use in a domestic environment.

KW - Brain computer interface

KW - acquired brain injury

KW - eHealth

M3 - Conference contribution

SN - 978-1-905824-45-8

BT - Unknown Host Publication

A2 - Cunningham, Paul

A2 - Cunningham, Miriam

ER -

Daly J, Armstrong E, Thomson E, Martin S. A Brain Computer Interface for eInclusion and eHealth. In Cunningham P, Cunningham M, editors, Unknown Host Publication. 2014