A novel probabilistic and 3D column P300 stimulus presentation paradigm for EEG-based spelling systems

• Published in: Neural computing & applications Vol. 35; no. 16; pp. 11901 - 11915
• Main Authors: Korkmaz, Onur Erdem, Aydemir, Onder, Oral, Emin Argun, Ozbek, Ibrahim Yucel
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Classification; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Electroencephalography; Human-computer interface; Image Processing and Computer Vision; Original Article; Probability and Statistics in Computer Science; Spelling; Statistical analysis; Spelling; 3D column; P300; EEG; Brain–computer interface

Brain–computer interfaces can allow users to select letters or other targets on a computer screen without any muscular activity. One of the most popular EEG-based spelling systems is employed with P300 potentials, eliciting the brain's positive electrical response to a flash-denoting gaze at a...