You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: May 10, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
Kevin M Pitt1, Jamie B Boster2
1Department of Special Education and Communication Disorders, University of Nebraska-Lincoln, Lincoln, NE, USA.
This study explored training strategies for children using Brain-Computer Interface (BCI) Augmentative and Alternative Communication (AAC) systems. Experts identified key themes like scaffolding, feedback, and visual impairment considerations for effective BCI-AAC use.
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: