An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control

Paul McCullagh; Chris Brennan; G Lightbody; Leo Galway; Eileen Thompson; Suzanne/S Martin

doi:10.1007/978-3-319-39955-3_7

An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control

Paul McCullagh, Chris Brennan, G Lightbody, Leo Galway, Eileen Thompson, Suzanne/S Martin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

152 Downloads (Pure)

Abstract

Brain-Neural Machine/Computer Interface (BNCI) has been used successfully as an assistive technology to restore communication, improve control and thus potentially enhance social inclusion. Recently BNCI technology and interfaces have evolved to become more usable, thereby allowing the recording of brain activity to become part of the wider self-quantification movement. A hybrid BNCI can provide a viable but alternative interface for Human Computer Interaction, which combines the inputs from BNCI and eye tracking. This hybrid approach has maintained information transfer rate but increased robustness and overall usability. The combination of two complementary technologies provides the possibility for investigating new ways of human enhancement and has the potential to open up new medical applications

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Springer
Pages	69-78
Number of pages	12
Volume	9743
DOIs	https://doi.org/10.1007/978-3-319-39955-3_7
Publication status	Published online - 21 Jun 2016
Event	18th International Conference on Human-Computer Interaction - Toronto Duration: 21 Jun 2016 → …

Conference

Conference	18th International Conference on Human-Computer Interaction
Period	21/06/16 → …

Keywords

Applications
BCI
Eye-tracking
Medical
SSVEP

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-39955-3_7

SSVEP and eye Tracking Hybrid BNCIAuthor Accepted Manuscript, 519 KB

http://uir.ulster.ac.uk/35656/2/An%20SSVEP%20and%20Eye%20Tracking%20Hybrid%20BNCI%20aaceptance.docx

Cite this

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title = "An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control",

abstract = "Brain-Neural Machine/Computer Interface (BNCI) has been used successfully as an assistive technology to restore communication, improve control and thus potentially enhance social inclusion. Recently BNCI technology and interfaces have evolved to become more usable, thereby allowing the recording of brain activity to become part of the wider self-quantification movement. A hybrid BNCI can provide a viable but alternative interface for Human Computer Interaction, which combines the inputs from BNCI and eye tracking. This hybrid approach has maintained information transfer rate but increased robustness and overall usability. The combination of two complementary technologies provides the possibility for investigating new ways of human enhancement and has the potential to open up new medical applications",

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AU - McCullagh, Paul

AU - Brennan, Chris

AU - Lightbody, G

AU - Galway, Leo

AU - Thompson, Eileen

AU - Martin, Suzanne/S

PY - 2016/6/21

Y1 - 2016/6/21

N2 - Brain-Neural Machine/Computer Interface (BNCI) has been used successfully as an assistive technology to restore communication, improve control and thus potentially enhance social inclusion. Recently BNCI technology and interfaces have evolved to become more usable, thereby allowing the recording of brain activity to become part of the wider self-quantification movement. A hybrid BNCI can provide a viable but alternative interface for Human Computer Interaction, which combines the inputs from BNCI and eye tracking. This hybrid approach has maintained information transfer rate but increased robustness and overall usability. The combination of two complementary technologies provides the possibility for investigating new ways of human enhancement and has the potential to open up new medical applications

AB - Brain-Neural Machine/Computer Interface (BNCI) has been used successfully as an assistive technology to restore communication, improve control and thus potentially enhance social inclusion. Recently BNCI technology and interfaces have evolved to become more usable, thereby allowing the recording of brain activity to become part of the wider self-quantification movement. A hybrid BNCI can provide a viable but alternative interface for Human Computer Interaction, which combines the inputs from BNCI and eye tracking. This hybrid approach has maintained information transfer rate but increased robustness and overall usability. The combination of two complementary technologies provides the possibility for investigating new ways of human enhancement and has the potential to open up new medical applications

KW - Applications

KW - BCI

KW - Eye-tracking

KW - Medical

KW - SSVEP

U2 - 10.1007/978-3-319-39955-3_7

DO - 10.1007/978-3-319-39955-3_7

M3 - Conference contribution

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EP - 78

BT - Unknown Host Publication

PB - Springer

T2 - 18th International Conference on Human-Computer Interaction

Y2 - 21 June 2016

ER -

An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control

Abstract

Conference

Keywords

UN SDGs

Access to Document

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