State-of-the-art on brain-computer interface technology
J Peksa, D Mamchur - Sensors, 2023 - mdpi.com
This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
Multivariate fast iterative filtering based automated system for grasp motor imagery identification using EEG signals
One of the most crucial use of hands in daily life is grasping. Sometimes people with
neuromuscular disorders become incapable of moving their hands. This article proposes a …
neuromuscular disorders become incapable of moving their hands. This article proposes a …
The evolution of AI approaches for motor imagery EEG-based BCIs
The Motor Imagery (MI) electroencephalography (EEG) based Brain Computer Interfaces
(BCIs) allow the direct communication between humans and machines by exploiting the …
(BCIs) allow the direct communication between humans and machines by exploiting the …
Klasifikace pohybu z EEG dat
V Hrabík - 2024 - otik.uk.zcu.cz
Pacienti s paralýzou nervosvalového systému mají těžkou cestu k rehabilitaci. K zefektivnění
a zrychlení této rehabilitace je potřeba, aby při rehabilitaci nebyly procvičovány jen svaly …
a zrychlení této rehabilitace je potřeba, aby při rehabilitaci nebyly procvičovány jen svaly …
Transfer Learning for Motor Imagery Classification in Low-Cost Brain-computer Interface Systems
L Cordes - 2022 - fse.studenttheses.ub.rug.nl
Brain-computer interfaces (BCIs) enable people with impaired mobility to interact with their
environment. BCIs translate brain activity measured through electroencephalography (EEG) …
environment. BCIs translate brain activity measured through electroencephalography (EEG) …