Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks

Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks

This paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI). FNNs represent a neural network architecture tailored to smooth...

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Bibliographic Details
Main Authors: Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Auto labeling
brain-computer interface (BCI)
BCI-illiteracy
electroencephalography (EEG)
functional neural network (FNN)
gamification
Online Access:https://ieeexplore.ieee.org/document/11004003/
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https://ieeexplore.ieee.org/document/11004003/

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