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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Hlavní autoři:	Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Auto labeling brain-computer interface (BCI) BCI-illiteracy electroencephalography (EEG) functional neural network (FNN) gamification
On-line přístup:	https://ieeexplore.ieee.org/document/11004003/
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