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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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06:09 min
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September 08, 2023
DOI:
1Brain and Body Sensing Lab, Mike Wiegers Department of Electrical & Computer Engineering,Kansas State University, 2Adaptive Cognitive Assessment Laboratory, Department of Physical Medicine and Rehabilitation,University of Michigan, Ann Arbor, 3Direct Brain Interface Laboratory, Department of Physical Medicine and Rehabilitation,University of Michigan, Ann Arbor, 4Direct Brain Interface Laboratory, Department of Biomedical Engineering,University of Michigan, Ann Arbor
Summary
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This article presents a method for estimating same-day P300 speller Brain-Computer Interface (BCI) accuracy using a small testing dataset.
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Khan, N. N., Sweet, T., Harvey, C. A., Warschausky, S., Huggins, J. E., Thompson, D. E. P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation. J. Vis. Exp. (199), e64959, doi:10.3791/64959 (2023).
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