Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network

Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network

The development of Brain–Computer Interfaces based on Motor Imagery (MI) tasks is a relevant research topic worldwide. The design of accurate and reliable BCI systems remains a challenge, mainly in terms of increasing performance and usability. Classifiers based on Bayesian Neural Networks are propo...

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Bibliographic Details
Main Authors: Daily Milanés-Hermosilla, Rafael Trujillo-Codorniú, Saddid Lamar-Carbonell, Roberto Sagaró-Zamora, Jorge Jadid Tamayo-Pacheco, John Jairo Villarejo-Mayor, Denis Delisle-Rodriguez
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
brain–computer interface
Bayesian Neural Network
variational inference
uncertainty estimation
classification with reject option
Online Access:https://www.mdpi.com/1424-8220/23/2/703

Internet

https://www.mdpi.com/1424-8220/23/2/703

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