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Projected accuracy metric for the P300 Speller.

Publication ,  Journal Article
Colwell, K; Throckmorton, C; Collins, L; Morton, K
Published in: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
September 2014

The P300 Speller brain-computer interface (BCI) is a virtual keyboard that allows users to type without requiring neuromuscular control. P300 Speller research commonly aims to improve the system accuracy, which is typically estimated by spelling a small number of characters and calculating the percent spelled correctly. In this paper we introduce a new method for estimating the long-term ("projected") accuracy, which utilizes all available flash data and a probabilistic model of the Speller system to produce an estimate with lower variance and lower granularity than the standard measure. We apply the new method to 110 previously-collected P300 Speller runs to confirm its consistency, and simulate spelling runs from real subject data to demonstrate lower variance on the accuracy estimate for any given amount of data.

Duke Scholars

Published In

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

DOI

EISSN

1558-0210

ISSN

1534-4320

Publication Date

September 2014

Volume

22

Issue

5

Start / End Page

921 / 925

Related Subject Headings

  • User-Computer Interface
  • Reproducibility of Results
  • Models, Statistical
  • Humans
  • Event-Related Potentials, P300
  • Electroencephalography
  • Communication Aids for Disabled
  • Brain-Computer Interfaces
  • Biomedical Engineering
  • Algorithms
 

Citation

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Colwell, K., Throckmorton, C., Collins, L., & Morton, K. (2014). Projected accuracy metric for the P300 Speller. IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 22(5), 921–925. https://doi.org/10.1109/tnsre.2014.2324892
Colwell, Kenneth, Chandra Throckmorton, Leslie Collins, and Kenneth Morton. “Projected accuracy metric for the P300 Speller.IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society 22, no. 5 (September 2014): 921–25. https://doi.org/10.1109/tnsre.2014.2324892.
Colwell K, Throckmorton C, Collins L, Morton K. Projected accuracy metric for the P300 Speller. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2014 Sep;22(5):921–5.
Colwell, Kenneth, et al. “Projected accuracy metric for the P300 Speller.IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, vol. 22, no. 5, Sept. 2014, pp. 921–25. Epmc, doi:10.1109/tnsre.2014.2324892.
Colwell K, Throckmorton C, Collins L, Morton K. Projected accuracy metric for the P300 Speller. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2014 Sep;22(5):921–925.

Published In

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

DOI

EISSN

1558-0210

ISSN

1534-4320

Publication Date

September 2014

Volume

22

Issue

5

Start / End Page

921 / 925

Related Subject Headings

  • User-Computer Interface
  • Reproducibility of Results
  • Models, Statistical
  • Humans
  • Event-Related Potentials, P300
  • Electroencephalography
  • Communication Aids for Disabled
  • Brain-Computer Interfaces
  • Biomedical Engineering
  • Algorithms