A fisher linear discriminant analysis classifier fused with naïve Bayes for simultaneous detection in an asynchronous brain-computer interface

• Published in: Journal of neuroscience methods Vol. 371; p. 109496
• Main Authors: Li, Mengfan, Zhang, Pengfei, Yang, Guang, Xu, Guizhi, Guo, Miaomiao, Liao, Wenzhe
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.04.2022
• Subjects: Algorithms; Asynchronous; Bayes Theorem; Brain-computer interface; Brain-Computer Interfaces; Discriminant Analysis; Electroencephalography - methods; Event-related potential; Evoked Potentials, Visual; Fusion probability; Humans; Simultaneous discrimination; Brain-computer interface; Event-related potential; Simultaneous discrimination; Asynchronous; Fusion probability

An asynchronous event-related potential-based brain computer interface (ERP-BCI) permits the subjects to output intentions at their own pace, which provides a more free and practical communication pathways without the need for muscle activity. The core of constructing this type of system is to discr...