• Aucun résultat trouvé

[PDF] Top 20 Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Has 10000 "Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces" found on our website. Below are the top 20 most common "Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces".

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

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

... BCI. Adaptive classifiers have proven to be superior to non-adaptive ones (with fixed parameters) in BCI, both in offline and online study, and with both supervised ...and adaptive ... Voir le document complet

6

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

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

... BCI. Adaptive classifiers have proven to be superior to non-adaptive ones (with fixed parameters) in BCI, both in offline and online study, and with both supervised ...and adaptive ... Voir le document complet

7

Using Riemannian geometry for SSVEP-based Brain Computer Interface

Using Riemannian geometry for SSVEP-based Brain Computer Interface

... recordings. 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 ... Voir le document complet

30

A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

... explored in [150] to classify BP features from two EEG ...when using an arbitrary structure whose selection was not ...used in [207] for motor imagery classification, but was outperformed by a ... Voir le document complet

56

A Brain-Switch using Riemannian Geometry

A Brain-Switch using Riemannian Geometry

... The brain-switch precision and sensitivity is now evaluated using EEG recordings collected on 6 subjects in our ...presented in this paper, with an adaptive implementation of spatial ... Voir le document complet

5

Introduction: Evolution of Brain-Computer Interfaces

Introduction: Evolution of Brain-Computer Interfaces

... process in real-time various brain signals such as those above, in order to design a ...step in the BCI processing pipeline, namely processing the acquired brain ...processing in ... Voir le document complet

12

Adaptive machine  learning methods for event related potential-based brain computer interfaces

Adaptive machine learning methods for event related potential-based brain computer interfaces

... Riemannian Features: Assessing Classification Confidence 77 weights are used in the voting step of the ensemble learning ...method. In the following sections, we present the contribution of ... Voir le document complet

169

Introduction to differential and Riemannian geometry

Introduction to differential and Riemannian geometry

... & Computer Engineering and Computer Science, Charlottesville, VA USA † Universit´e Cˆote d’Azur and Inria, Epione team, 2004 Route des Lucioles, BP 93, F-06902 Sophia Antipolis Cedex, France Abstract ... Voir le document complet

34

Adaptive training session for a P300 speller brain-computer interface

Adaptive training session for a P300 speller brain-computer interface

... proposed in this study to switch automatically between the training session and the online session seems to be very ...shown in the present work, the angle between two consecutive classi- fier vectors is ... Voir le document complet

9

Riemannian geometry applied to BCI classification

Riemannian geometry applied to BCI classification

... 1. Classification Error ...methods in BCI or elsewhere. Methods can be developed to work natively in space of SPD matrices like our Algorithm 2 or in tangent space like Algorithm ...involved. ... Voir le document complet

9

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 ...referred in the literature as the « BCI inefficiency » phenomenon [2] and affects its ...the approaches adopted to ... Voir le document complet

2

ANALYSIS ON RIEMANNIAN FOLIATIONS OF BOUNDED GEOMETRY

ANALYSIS ON RIEMANNIAN FOLIATIONS OF BOUNDED GEOMETRY

... describes Riemannian foliations in terms of TP foliations. A Riemannian foliation is called complete if, using Molino’s theory, the corresponding TP foliation is ...foliations in terms ... Voir le document complet

47

EEG signal analysis for brain-computer interfaces for large public applications

EEG signal analysis for brain-computer interfaces for large public applications

... IIa in BCI competition IV [194 ...channels in CSP- based classification under a constraint of classification ...of classification results and the number of electrodes (#E) used ... Voir le document complet

191

Intrinsic random walks in Riemannian and sub-Riemannian geometry via volume sampling

Intrinsic random walks in Riemannian and sub-Riemannian geometry via volume sampling

... First, in sub-Riemannian geometry geodesics starting from a given point are always pa- rameterized by a non-compact subset of the cotangent space at the point, on which there is no canonical ... Voir le document complet

33

Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces

Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces

... different brain areas around the sensorimotor ...Thus, in the case of a dichotic binaural listening (each ear is stimulated with a different sound), it is postulated that the strength of the steady- state ... Voir le document complet

5

A robust sensor-selection method for P300 brain-computer interfaces.

A robust sensor-selection method for P300 brain-computer interfaces.

... electrodes in an optimal fashion for each ...vary in relation to the number of ...used in BCI for both detection and classification of specific brain ...efficient. In addition to ... Voir le document complet

22

Aspects of Riemannian geometry in quantum field theories

Aspects of Riemannian geometry in quantum field theories

... The Riemannian geometry of the target is therefore constrained by the quantum field theoretic properties of the two dimensional theory and, in the particular case of[r] ... Voir le document complet

115

Unifying Geometry and Mesh Adaptive Refinement Using Loop Subdivision

Unifying Geometry and Mesh Adaptive Refinement Using Loop Subdivision

... used in the multi-level non-uniform refinement method could require heavy storage, since all the hierarchical connectivity information (parent inheritance and children retrospect) for facilitating the navigation ... Voir le document complet

189

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics

... HAL Id: hal-00384879 https://hal.archives-ouvertes.fr/hal-00384879 Submitted on 16 May 2009 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether ... Voir le document complet

7

Riemannian geometry learning for disease progression modelling

Riemannian geometry learning for disease progression modelling

... these approaches is therefore the need of this known Rie- mannian manifold to work ...relevant Riemannian manifold in low-dimensional cases and with expert knowledge, but it is nearly impossible ... Voir le document complet

14

Show all 10000 documents...