Search Results - "Pillette, Léa"
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A review of user training methods in brain computer interfaces based on mental tasks
Published in Journal of neural engineering (01-02-2021)“…Mental-tasks based brain-computer interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through…”
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Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training
Published in International journal of human-computer studies (01-05-2021)“…•Mental-Imagery based Brain-Computer Interface (MI-BCI) training needs experimenters•Experimenters influence on MI-BCI training outcome is unassessed and was…”
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BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification
Published in Sensors (Basel, Switzerland) (26-08-2021)“…Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and experiments using electroencephalography (EEG)-based BCIs has…”
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Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training
Published in Frontiers in human neuroscience (18-03-2021)“…While often presented as promising assistive technologies for motor-impaired users, electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) remain…”
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A physical learning companion for Mental-Imagery BCI User Training
Published in International journal of human-computer studies (01-04-2020)“…•Learning companions could improve Brain-Computer Interface (BCI) user experience.•Non-autonomous users can benefit from learning companions (increased…”
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A Systematic Review of Navigation Assistance Systems for People With Dementia
Published in IEEE transactions on visualization and computer graphics (01-04-2023)“…Technological developments provide solutions to alleviate the tremendous impact on the health and autonomy due to the impact of dementia on navigation…”
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A large EEG database with users’ profile information for motor imagery brain-computer interface research
Published in Scientific data (05-09-2023)“…We present and share a large database containing electroencephalographic signals from 87 human participants, collected during a single day of brain-computer…”
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Towards electrophysiological measurement of presence in virtual reality through auditory oddball stimuli
Published in Journal of neural engineering (12-07-2024)“…Presence is an important aspect of user experience in virtual reality (VR). It corresponds to the illusion of being physically located in a virtual environment…”
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Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies
Published in NeuroImage clinical (01-01-2020)“…•Brain-Computer Interfaces (BCI)-based therapy relies on timely sensory feedback.•Somatosensory loss is usually not reported for these therapies.•Yet, it…”
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Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training
Published in Multimodal technologies and interaction (19-03-2021)“…By performing motor-imagery tasks, for example, imagining hand movements, Motor-Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital…”
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Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces
Published in Brain computer interfaces (Abingdon, England) (02-07-2024)“…The utmost issue in Motor Imagery Brain-Computer Interfaces (MI-BCI) is the BCI poor performance known as 'BCI inefficiency'. Although past research has…”
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Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public
Published in Frontiers in neuroergonomics (01-02-2023)“…Strokes leave around 40% of survivors dependent in their activities of daily living, notably due to severe motor disabilities. Brain-computer interfaces (BCIs)…”
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EEG neurofeedback research: A fertile ground for psychiatry?
Published in Encéphale (01-06-2019)“…The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary…”
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Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces
Published 23-05-2019“…WACAI 2018 - Workshop sur les "Affects, Compagnons Artificiels et Interactions'', Jun 2018, Ile de Porquerolles, France. pp.1-8 Mental Imagery based…”
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Would Motor-Imagery based BCI user training benefit from more women experimenters?
Published 14-05-2019“…8th International BCI Conference, Sep 2019, Graz, Austria Mental Imagery based Brain-Computer Interfaces (MI-BCI) are a mean to control digital technologies by…”
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Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…In this paper, we propose and compare multiple criteria for selecting ElectroEncephaloGraphic (EEG) channels over the Riemannian manifold, for EEG…”
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