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[PDF] Top 20 Using Riemannian geometry for SSVEP-based Brain Computer Interface

Has 10000 "Using Riemannian geometry for SSVEP-based Brain Computer Interface" found on our website. Below are the top 20 most common "Using Riemannian geometry for SSVEP-based Brain Computer Interface".

Using Riemannian geometry for SSVEP-based Brain Computer Interface

Using Riemannian geometry for SSVEP-based Brain Computer Interface

... In SSVEP, the subjects concentrate on stimuli blinking with fixed frequencies; depending on the focus of their attention, brain waves will arise with the same phase and frequency than the stimulus chosen by ... Voir le document complet

30

Riemannian Geometry on Connectivity for Clinical BCI

Riemannian Geometry on Connectivity for Clinical BCI

... a brain-computer interface (BCI) requires time to achieve high performance ...search for neuromarkers, that potentially capture better the neurophysiological mechanisms underlying the BCI ... Voir le document complet

2

A Sketch-Based Interface for Annotation of 3D Brain Vascular Reconstructions

A Sketch-Based Interface for Annotation of 3D Brain Vascular Reconstructions

... those based on 2D ...user interface is based on sketching; user strokes both denes a command and the part of geometry where the command is applied ...modify using the proposed set of ... Voir le document complet

22

Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators

Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators

... Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators Sylvain Chevallier 1 , Marie-Constance Corsi 2 , Florian Yger 3 and Camille Noˆus 4 Abstract— This abstract ... Voir le document complet

3

xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.

xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.

... average. For instance, Rakotomamonjy et ...methods, based on independent component analysis (ICA) [14], [15], [16], were thus proposed to enhance the SNR and to remove the artifacts, ...separate ... Voir le document complet

10

Ensemble learning for brain computer-interface using uncooperative democratic echo state communities

Ensemble learning for brain computer-interface using uncooperative democratic echo state communities

... discrimination based on decision ...classifier. Using such algorithms might thus improves controlling the number of training ...consider using a unique UDESC representation for each subject ... Voir le document complet

7

Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?

Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?

... relevant for applications in this area, especially concerning KMI-based BCI performance ...are based on this contralateral activation to differentiate the cerebral activity generated by right-hand ... Voir le document complet

12

Experimenters Influence on Mental-Imagery based Brain-Computer Interface User Training

Experimenters Influence on Mental-Imagery based Brain-Computer Interface User Training

... Figure 2: The BCI session included 6 runs divided into two steps: (1) data acquisition to train the system (2 runs) and (2) user training (4 runs). After Run 2, the classifier is trained on the data acquired during the ... Voir le document complet

39

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

... information using a combination of top-down pre- dictions (built from prior experience) and bottom- up, sensory-driven representations of the dynamic world around us [ 63 , 100 ...the brain [ 10 , 96 ... Voir le document complet

23

ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application

ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application

... required for real-time application of the ...used for NC support in a simulated study [ Srinivasan et ...by using several emission models [ Wu et ...models for asynchronous ECoG ...popular ... Voir le document complet

281

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en fr Toward a brain-computer interface for speech restoration Vers une interface cerveau-machine pour la restauration de la parole

... prospects for improvement among heavily handicapped patients, for whom there is no other alternative at the ...2009). For health professionals, the challenge posed by this gap consists of knowing how ... Voir le document complet

232

Brain-Computer Interface with cortical electrical activity recording

Brain-Computer Interface with cortical electrical activity recording

... approach for the brain signal processing, intended for event detection/prediction, consists in the extraction of the event-related features of the neuronal ...mainly for vector input variables ... Voir le document complet

182

Optimizing the use of SSVEP-based brain-computer interfaces for human-computer interaction

Optimizing the use of SSVEP-based brain-computer interfaces for human-computer interaction

... noticed the link between failures and frustration: “there is a bit of frustration sometimes when the system does not indicate the correct fixation, and it causes fatigue and loss of concentration". Beyond those ... Voir le document complet

177

Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia

Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia

... INTRODUCTION Brain-Computer Interfaces (BCIs) allow end users to inter- act with a system using modulations of brain activity which is partially observable in electroencephalographic (EEG) ... Voir le document complet

7

Spelling with brain-computer interface - current trends and prospects

Spelling with brain-computer interface - current trends and prospects

... achieve for people with severe ...user interface should actually benefit the same attention than the signal processing part ...with SSVEP spellers that have constraints due to the number of available ... Voir le document complet

7

Detecting awareness in patients with disorders of consciousness using a hybrid brain–computer interface

Detecting awareness in patients with disorders of consciousness using a hybrid brain–computer interface

... 2013. Brain activity was detected only when patients were free of centrally acting sedative ...severely brain-damaged Chinese patients participated in this experiment (four males; four VS, three MCS, and ... Voir le document complet

12

Electroencephalography (EEG)-based Brain-Computer Interfaces

Electroencephalography (EEG)-based Brain-Computer Interfaces

... movement. Using multielectrode arrays placed invasively in the primary motor cortex, it is possible to decode the direction of movement from the activity of a neural population [108] and send commands to a robotic ... Voir le document complet

45

Multiclass Brain-Computer Interface Classification by Riemannian Geometry

Multiclass Brain-Computer Interface Classification by Riemannian Geometry

... proposed Riemannian methods are compared with the classical approach consisting in a spatial filtering by multi- class CSP [1], [20] followed by a LDA classification [2] on the feature space composed by the log ... Voir le document complet

9

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

... of Brain-Computer ...strategies for state of the art Riemannian geometry based ...accuracy for a 3-class mental imagery BCI with hybrid adaption is as high as around 17% ... Voir le document complet

7

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

... study, for 6 different sessions each (each on a different ...t=4.250s, for 4s, a visual feedback was provided in the shape of bar, whose length reflected the classifier ... Voir le document complet

6

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