Enhancing motor imagery detection efficacy using multisensory virtual reality priming

R Amini Gougeh, TH Falk - Frontiers in Neuroergonomics, 2023 - frontiersin.org
Brain-computer interfaces (BCI) have been developed to allow users to communicate with
the external world by translating brain activity into control signals. Motor imagery (MI) has …

Classification of movement and inhibition using a hybrid BCI

J Chmura, J Rosing, S Collazos… - Frontiers in …, 2017 - frontiersin.org
Brain-computer interfaces (BCIs) are an emerging technology that are capable of turning
brain electrical activity into commands for an external device. Motor imagery (MI)—when a …

Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis

A Vourvopoulos, S Bermúdez i Badia - Journal of neuroengineering and …, 2016 - Springer
Abstract Background The use of Brain–Computer Interface (BCI) technology in
neurorehabilitation provides new strategies to overcome stroke-related motor limitations …

Avatar embodiment prior to motor imagery training in VR does not affect the induced event-related desynchronization: a pilot study

K Vagaja, K Linkenkaer-Hansen… - Frontiers in Virtual …, 2024 - frontiersin.org
Motor-imagery brain-computer interfaces (MI-BCIs) have the potential to improve motor
function in individuals with neurological disorders. Their effectiveness relies on patients' …

Enhancing motor-imagery brain-computer interface training with embodied virtual reality: a pilot study with older adults

A Vourvopoulos, DA Blanco-Mora… - … on Metrology for …, 2022 - ieeexplore.ieee.org
Electroencephalography-based Brain-Computer Interfaces (BCI's) can provide an
alternative non-muscular channel of control to stroke survivors, especially to those who lack …

Embodied VR environment facilitates motor imagery brain–computer interface training

F Škola, F Liarokapis - Computers & Graphics, 2018 - Elsevier
Motor imagery (MI) is the predominant control paradigm for brain–computer interfaces
(BCIs). After sufficient effort is invested to the training, the accuracy of commands mediated …

Progressive training for motor imagery brain-computer interfaces using gamification and virtual reality embodiment

F Škola, S Tinková, F Liarokapis - Frontiers in human neuroscience, 2019 - frontiersin.org
This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in
immersive virtual reality. The aim of the proposed training method is to increase …

Virtual reality embodiment in motor imagery brain–computer interface training

F Škola, F Liarokapis - SN Computer Science, 2022 - Springer
This study investigates how the avatar embodiment in virtual reality (VR) influences training
for operation of motor imagery brain–computer interfaces (MI-BCIs). In previous studies, we …

Improving performance in motor imagery BCI-based control applications via virtually embodied feedback

JW Choi, S Huh, S Jo - Computers in Biology and Medicine, 2020 - Elsevier
Abstract Objective Brain-computer interfaces (BCIs) based on motor imagery (MI) are
commonly used for control applications. However, these applications require strong and …

Characterizing motor system to improve training protocols used in brain-machine interfaces based on motor imagery

LM Alonso-Valerdi… - de Cognitive and …, 2018 - books.google.com
Motor imagery (MI)-based brain-machine interface (BMI) is a technology under development
that actively modifies users' perception and cognition through mental tasks, so as to decode …