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LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning

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LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2023

12 October 2023

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Papers citing "LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning"

2 / 2 papers shown

NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification

NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification

158

0

0

16 Jun 2025

Automatic Classification of Sleep Stages from EEG Signals Using
Riemannian Metrics and Transformer Networks

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer NetworksSN Computer Science (SCS), 2024

Mathieu Seraphim

Alexis Lechervy

273

4

0

18 Oct 2024

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