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Updated: Mar 1, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
B O Mainsah1, G Reeves, L M Collins
1Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States of America.
We developed a new brain-computer interface (BCI) paradigm that improves accuracy and spelling rate by accounting for user fatigue. This enhances communication for BCI users.
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