EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

Chris Brennan; P. J. McCullagh; Gaye Lightbody; Leo Galway

EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

Chris Brennan, P. J. McCullagh, Gaye Lightbody, Leo Galway

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

Abstract

An evaluation of a hybrid Brain-Computer Interface that combines input modalities of Steady State Visual Evoked Potential (SSVEP) and eye gaze is provided. Thirty volunteers participated and all but one could use the BCI, eye-tracker and hybrid system. The hybrid BCI was compared with SSVEP alone for navigating to four domotic tasks issued via a graphical user interface. Mean performance metrics of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) all improved (mean Acc. = 93.3% to 99.84%, mean Eff. = 89.56% to 99.74%, mean ITR = 23.78 to 24.41 bpm). While the absolute improvements are small, better performance may contribute to user acceptability, as the eye-gaze component adds minimal additional user effort to the interaction yet provides control that is more robust.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Online
Pages	1-6
Number of pages	6
Publication status	Accepted/In press - 18 Apr 2017
Event	7th Graz Brain-Computer Interface Conference 2017 - Graz Duration: 18 Apr 2017 → …

Conference

Conference	7th Graz Brain-Computer Interface Conference 2017
Period	18/04/17 → …

Keywords

BCI

Access to Document

Cite this

@inproceedings{21b92bd057764219b99d4584c21945af,

title = "EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI",

abstract = "An evaluation of a hybrid Brain-Computer Interface that combines input modalities of Steady State Visual Evoked Potential (SSVEP) and eye gaze is provided. Thirty volunteers participated and all but one could use the BCI, eye-tracker and hybrid system. The hybrid BCI was compared with SSVEP alone for navigating to four domotic tasks issued via a graphical user interface. Mean performance metrics of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) all improved (mean Acc. = 93.3% to 99.84%, mean Eff. = 89.56% to 99.74%, mean ITR = 23.78 to 24.41 bpm). While the absolute improvements are small, better performance may contribute to user acceptability, as the eye-gaze component adds minimal additional user effort to the interaction yet provides control that is more robust.",

keywords = "BCI",

author = "Chris Brennan and McCullagh, {P. J.} and Gaye Lightbody and Leo Galway",

year = "2017",

month = apr,

day = "18",

language = "English",

pages = "1--6",

booktitle = "Unknown Host Publication",

publisher = "Online",

note = "7th Graz Brain-Computer Interface Conference 2017 ; Conference date: 18-04-2017",

}

TY - GEN

T1 - EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

AU - Brennan, Chris

AU - McCullagh, P. J.

AU - Lightbody, Gaye

AU - Galway, Leo

PY - 2017/4/18

Y1 - 2017/4/18

N2 - An evaluation of a hybrid Brain-Computer Interface that combines input modalities of Steady State Visual Evoked Potential (SSVEP) and eye gaze is provided. Thirty volunteers participated and all but one could use the BCI, eye-tracker and hybrid system. The hybrid BCI was compared with SSVEP alone for navigating to four domotic tasks issued via a graphical user interface. Mean performance metrics of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) all improved (mean Acc. = 93.3% to 99.84%, mean Eff. = 89.56% to 99.74%, mean ITR = 23.78 to 24.41 bpm). While the absolute improvements are small, better performance may contribute to user acceptability, as the eye-gaze component adds minimal additional user effort to the interaction yet provides control that is more robust.

AB - An evaluation of a hybrid Brain-Computer Interface that combines input modalities of Steady State Visual Evoked Potential (SSVEP) and eye gaze is provided. Thirty volunteers participated and all but one could use the BCI, eye-tracker and hybrid system. The hybrid BCI was compared with SSVEP alone for navigating to four domotic tasks issued via a graphical user interface. Mean performance metrics of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) all improved (mean Acc. = 93.3% to 99.84%, mean Eff. = 89.56% to 99.74%, mean ITR = 23.78 to 24.41 bpm). While the absolute improvements are small, better performance may contribute to user acceptability, as the eye-gaze component adds minimal additional user effort to the interaction yet provides control that is more robust.

KW - BCI

M3 - Conference contribution

SP - 1

EP - 6

BT - Unknown Host Publication

PB - Online

T2 - 7th Graz Brain-Computer Interface Conference 2017

Y2 - 18 April 2017

ER -

EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this