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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
Davide Valeriani1, Caterina Cinel2, Riccardo Poli3
1Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA. davide_valeriani@meei.harvard.edu.
Brain-computer interfaces (BCIs) are rapidly advancing, creating faster and more reliable assistive technologies. These systems translate brain activity into control signals for devices, aiding individuals with severe disabilities.
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