ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP

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

ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP

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

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

Abstract

A hybrid BCI (hBCI) based on SSVEP and eye tracking enhanced interaction performance in terms of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) in 29 of 30 participants, when compared to SSVEP alone. Decisions were based on collaborative processing. The SSVEP component was used for selection, reinforcing the eye gaze and solving the ‘Midas touch’ problem associated with eye gaze alone. The overall arithmetic mean Acc., Eff., and ITR for 29 participants completing the four (4-way navigation) tasks was 99.84% (±0.77%), 99.74% (±1.23%) and 24.41 (±6.35) bits/min, respectively. Review of the data shows that adaption of the decision process is possible; this would increase ITR and hence usability of the technology and provide further insight into the decision-making process.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Neuroadaptive Technology
Pages	159-161
Number of pages	3
ISBN (Print)	N/A
Publication status	Published (in print/issue) - 19 Jul 2017
Event	Neuroadaptive Technologies 2017 - Berlin Duration: 19 Jul 2017 → …

Conference

Conference	Neuroadaptive Technologies 2017
Period	19/07/17 → …

Keywords

BCI

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@inproceedings{926a3414842a44bc9d03be2c3a303f9c,

title = "ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP",

abstract = "A hybrid BCI (hBCI) based on SSVEP and eye tracking enhanced interaction performance in terms of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) in 29 of 30 participants, when compared to SSVEP alone. Decisions were based on collaborative processing. The SSVEP component was used for selection, reinforcing the eye gaze and solving the {\textquoteleft}Midas touch{\textquoteright} problem associated with eye gaze alone. The overall arithmetic mean Acc., Eff., and ITR for 29 participants completing the four (4-way navigation) tasks was 99.84% (±0.77%), 99.74% (±1.23%) and 24.41 (±6.35) bits/min, respectively. Review of the data shows that adaption of the decision process is possible; this would increase ITR and hence usability of the technology and provide further insight into the decision-making process.",

keywords = "BCI",

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

year = "2017",

month = jul,

day = "19",

language = "English",

isbn = "N/A",

pages = "159--161",

booktitle = "Unknown Host Publication",

publisher = "Neuroadaptive Technology",

note = "Neuroadaptive Technologies 2017 ; Conference date: 19-07-2017",

}

TY - GEN

T1 - ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP

AU - Brennan, Chris

AU - McCullagh, P. J.

AU - Galway, Leo

AU - Lightbody, Gaye

PY - 2017/7/19

Y1 - 2017/7/19

N2 - A hybrid BCI (hBCI) based on SSVEP and eye tracking enhanced interaction performance in terms of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) in 29 of 30 participants, when compared to SSVEP alone. Decisions were based on collaborative processing. The SSVEP component was used for selection, reinforcing the eye gaze and solving the ‘Midas touch’ problem associated with eye gaze alone. The overall arithmetic mean Acc., Eff., and ITR for 29 participants completing the four (4-way navigation) tasks was 99.84% (±0.77%), 99.74% (±1.23%) and 24.41 (±6.35) bits/min, respectively. Review of the data shows that adaption of the decision process is possible; this would increase ITR and hence usability of the technology and provide further insight into the decision-making process.

AB - A hybrid BCI (hBCI) based on SSVEP and eye tracking enhanced interaction performance in terms of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) in 29 of 30 participants, when compared to SSVEP alone. Decisions were based on collaborative processing. The SSVEP component was used for selection, reinforcing the eye gaze and solving the ‘Midas touch’ problem associated with eye gaze alone. The overall arithmetic mean Acc., Eff., and ITR for 29 participants completing the four (4-way navigation) tasks was 99.84% (±0.77%), 99.74% (±1.23%) and 24.41 (±6.35) bits/min, respectively. Review of the data shows that adaption of the decision process is possible; this would increase ITR and hence usability of the technology and provide further insight into the decision-making process.

KW - BCI

M3 - Conference contribution

SN - N/A

SP - 159

EP - 161

BT - Unknown Host Publication

PB - Neuroadaptive Technology

T2 - Neuroadaptive Technologies 2017

Y2 - 19 July 2017

ER -

ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP

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