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Fusion of P300 and eye-tracker data for spelling using BCI2000.

Publication ,  Journal Article
Kalika, D; Collins, L; Caves, K; Throckmorton, C
Published in: Journal of neural engineering
October 2017

Various augmentative and alternative communication (AAC) devices have been developed in order to aid communication for individuals with communication disorders. Recently, there has been interest in combining EEG data and eye-gaze data with the goal of developing a hybrid (or 'fused') BCI (hBCI) AAC system. This work explores the effectiveness of a speller that fuses data from an eye-tracker and the P300 speller in order to create a hybrid P300 speller.This hybrid speller collects both eye-tracking and EEG data in parallel, and the user spells characters on the screen in the same way that they would if they were only using the P300 speller. Online and offline experiments were performed. The online experiments measured the performance of the speller for sixteen non-disabled participants, while the offline simulations were used to assess the robustness of the hybrid system.Online results showed that for fifteen non-disabled participants, using eye-gaze in a Bayesian framework with EEG data from the P300 speller improved accuracy ([Formula: see text], [Formula: see text], [Formula: see text] for estimated, medium and high variance configurations) and reduced the average number of flashes required to spell a character compared to the standard P300 speller that relies solely on EEG data ([Formula: see text], [Formula: see text], [Formula: see text] for estimated, medium and high variance configurations). Offline simulations indicate that the system provides more robust performance than a standalone eye gaze system.The results of this work on non-disabled participants shows the potential efficacy of hybrid P300 and eye-tracker speller. Further validation on the amyotrophic lateral sceloris population is needed to assess the benefit of this hybrid system.

Duke Scholars

Published In

Journal of neural engineering

DOI

EISSN

1741-2552

ISSN

1741-2560

Publication Date

October 2017

Volume

14

Issue

5

Start / End Page

056010

Related Subject Headings

  • Statistics as Topic
  • Photic Stimulation
  • Humans
  • Fixation, Ocular
  • Eye Movements
  • Event-Related Potentials, P300
  • Electroencephalography
  • Biomedical Engineering
  • 4003 Biomedical engineering
  • 3209 Neurosciences
 

Citation

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ICMJE
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Kalika, D., Collins, L., Caves, K., & Throckmorton, C. (2017). Fusion of P300 and eye-tracker data for spelling using BCI2000. Journal of Neural Engineering, 14(5), 056010. https://doi.org/10.1088/1741-2552/aa776b
Kalika, Dmitry, Leslie Collins, Kevin Caves, and Chandra Throckmorton. “Fusion of P300 and eye-tracker data for spelling using BCI2000.Journal of Neural Engineering 14, no. 5 (October 2017): 056010. https://doi.org/10.1088/1741-2552/aa776b.
Kalika D, Collins L, Caves K, Throckmorton C. Fusion of P300 and eye-tracker data for spelling using BCI2000. Journal of neural engineering. 2017 Oct;14(5):056010.
Kalika, Dmitry, et al. “Fusion of P300 and eye-tracker data for spelling using BCI2000.Journal of Neural Engineering, vol. 14, no. 5, Oct. 2017, p. 056010. Epmc, doi:10.1088/1741-2552/aa776b.
Kalika D, Collins L, Caves K, Throckmorton C. Fusion of P300 and eye-tracker data for spelling using BCI2000. Journal of neural engineering. 2017 Oct;14(5):056010.
Journal cover image

Published In

Journal of neural engineering

DOI

EISSN

1741-2552

ISSN

1741-2560

Publication Date

October 2017

Volume

14

Issue

5

Start / End Page

056010

Related Subject Headings

  • Statistics as Topic
  • Photic Stimulation
  • Humans
  • Fixation, Ocular
  • Eye Movements
  • Event-Related Potentials, P300
  • Electroencephalography
  • Biomedical Engineering
  • 4003 Biomedical engineering
  • 3209 Neurosciences