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Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Publication ,  Journal Article
Ryan, DB; Townsend, G; Gates, NA; Colwell, K; Sellers, EW
Published in: Clin Neurophysiol
October 2017

OBJECTIVE: Current Brain-Computer Interface (BCI) systems typically flash an array of items from grey to white (GW). The objective of this study was to evaluate BCI performance using uniquely colored stimuli. METHODS: In addition to the GW stimuli, the current study tested two types of color stimuli (grey to color [GC] and color intensification [CI]). The main hypotheses were that in a checkboard paradigm, unique color stimuli will: (1) increase BCI performance over the standard GW paradigm; (2) elicit larger event-related potentials (ERPs); and, (3) improve offline performance with an electrode selection algorithm (i.e., Jumpwise). RESULTS: Online results (n=36) showed that GC provides higher accuracy and information transfer rate than the CI and GW conditions. Waveform analysis showed that GC produced higher amplitude ERPs than CI and GW. Information transfer rate was improved by the Jumpwise-selected channel locations in all conditions. CONCLUSIONS: Unique color stimuli (GC) improved BCI performance and enhanced ERPs. Jumpwise-selected electrode locations improved offline performance. SIGNIFICANCE: These results show that in a checkerboard paradigm, unique color stimuli increase BCI performance, are preferred by participants, and are important to the design of end-user applications; thus, could lead to an increase in end-user performance and acceptance of BCI technology.

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Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

October 2017

Volume

128

Issue

10

Start / End Page

2050 / 2057

Location

Netherlands

Related Subject Headings

  • Photic Stimulation
  • Pattern Recognition, Visual
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female
  • Event-Related Potentials, P300
  • Electroencephalography
  • Color Perception
 

Citation

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Ryan, D. B., Townsend, G., Gates, N. A., Colwell, K., & Sellers, E. W. (2017). Evaluating brain-computer interface performance using color in the P300 checkerboard speller. Clin Neurophysiol, 128(10), 2050–2057. https://doi.org/10.1016/j.clinph.2017.07.397
Ryan, D. B., G. Townsend, N. A. Gates, K. Colwell, and E. W. Sellers. “Evaluating brain-computer interface performance using color in the P300 checkerboard speller.Clin Neurophysiol 128, no. 10 (October 2017): 2050–57. https://doi.org/10.1016/j.clinph.2017.07.397.
Ryan DB, Townsend G, Gates NA, Colwell K, Sellers EW. Evaluating brain-computer interface performance using color in the P300 checkerboard speller. Clin Neurophysiol. 2017 Oct;128(10):2050–7.
Ryan, D. B., et al. “Evaluating brain-computer interface performance using color in the P300 checkerboard speller.Clin Neurophysiol, vol. 128, no. 10, Oct. 2017, pp. 2050–57. Pubmed, doi:10.1016/j.clinph.2017.07.397.
Ryan DB, Townsend G, Gates NA, Colwell K, Sellers EW. Evaluating brain-computer interface performance using color in the P300 checkerboard speller. Clin Neurophysiol. 2017 Oct;128(10):2050–2057.
Journal cover image

Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

October 2017

Volume

128

Issue

10

Start / End Page

2050 / 2057

Location

Netherlands

Related Subject Headings

  • Photic Stimulation
  • Pattern Recognition, Visual
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female
  • Event-Related Potentials, P300
  • Electroencephalography
  • Color Perception