Adaptive classification helps hybrid visual brain computer interface systems handle non‐stationary cortical signals

Adaptive classification helps hybrid visual brain computer interface systems handle non‐stationary cortical signals

Abstract The classifier efficiency of the brain‐computer interface systems is significantly impacted by the non‐stationarity of electroencephalogram (EEG) signals. We propose an adaptive variant of the linear discriminant analysis (LDA) classifier as a solution to this problem. This classifier const...

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Bibliographic Details
Main Authors: Deepak D. Kapgate, Krishna Prasad. K
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Cognitive Computation and Systems
Subjects:
brain computer interface
machine learning
segmentation
signal processing
Online Access:https://doi.org/10.1049/ccs2.12077

Internet

https://doi.org/10.1049/ccs2.12077

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