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@BOOK{VIL08,
title = {Optimal transport: old and new},
publisher = {Springer},
year = {2009},
author = {Villani, C.},
volume = {338},
series = {Grundlehren der mathematischen Wissenschaften}
}
@inproceedings{cherian_efficient_2011,
title = {Efficient similarity search for covariance matrices via the {Jensen}-{Bregman} {LogDet} divergence},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6126523},
urldate = {2016-06-23},
booktitle = {2011 {International} {Conference} on {Computer} {Vision}},
publisher = {IEEE},
author = {Cherian, A. and Sra, S. and Banerjee, A. and Papanikolopoulos, N.},
year = {2011},
pages = {2399--2406},
file = {[PDF] from researchgate.net:/home/emmanuelkalunga/.mozilla/firefox/05w9y9qn.default/zotero/storage/KF7TS7G2/Cherian et al. - 2011 - Efficient similarity search for covariance matrice.pdf:application/pdf;Snapshot:/home/emmanuelkalunga/.mozilla/firefox/05w9y9qn.default/zotero/storage/EZENUHA4/login.html:text/html}
}
@article{ando2004geometric,
title={Geometric means},
author={Ando, T. and Li, C.-K. and Mathias, R.},
journal={Linear algebra and its applications},
volume={385},
pages={305--334},
year={2004},
publisher={Elsevier}
}
@ARTICLE{Herve2010PCA,
author = {Abdi, H. and Williams, L. J.},
title = {Principal component analysis},
journal = {Wiley Interdisciplinary Reviews: Computational Statistics},
year = {2010},
volume = {2},
pages = {433-459},
number = {4}
}
@BOOK{absil2009optimization,
title = {Optimization algorithms on matrix manifolds},
publisher = {Princeton University Press},
year = {2009},
author = {Absil, P.-A. and Mahony, R. and Sepulchre, R.}
}
@ARTICLE{Alhaddad2012,
author = {Alhaddad, M. J. and Kamel, M. and Malibary, H. and
Thabit, K. and Dahlwi, F. and Hadi, A.},
title = {P300 speller efficiency with common average reference},
journal = {Proceedings of the Third International conference on Autonomous and
Intelligent Systems},
year = {2012},
pages = {234-241},
numpages = {8}
}
@ARTICLE{Allison2010,
author = {B. Z. Allison and C. Brunner and V. Kaiser and G. R. Muller-Putz and C.
Neuper and G. Pfurtscheller},
title = {Toward a hybrid brain computer interface based on imagined movement
and visual attention},
journal = {Journal of Neural Engineering},
year = {2010},
volume = {7},
pages = {026007},
number = {2}
}
@INCOLLECTION{ALL10,
author = {Allison, B. Z. and Neuper, C.},
title = {Could Anyone Use a {BCI}?},
booktitle = {Brain-Computer Interfaces},
publisher = {Springer London},
year = {2010},
editor = {Tan, Desney S. and Nijholt, Anton},
series = {Human-Computer Interaction Series},
chapter = {3},
pages = {35--54}
}
@ARTICLE{amari2010information,
author = {Amari, Shun-Ichi},
title = {Information geometry in optimization, machine learning and statistical
inference},
journal = {Frontiers of Electrical and Electronic Engineering in China},
year = {2010},
volume = {5},
pages = {241--260},
number = {3},
publisher = {Springer}
}
@ARTICLE{amari2009,
author = {Amari, S.-I.},
title = {$\alpha$-Divergence Is Unique, Belonging to Both $f$-Divergence and
{B}regman divergence classes},
journal = {Information Theory, IEEE Transactions on},
year = {2009},
volume = {55},
pages = {4925-4931},
number = {11},
doi = {10.1109/TIT.2009.2030485},
issn = {0018-9448},
keywords = {geometry;optimisation;statistical distributions;Bregman divergence;Fisher
metric;Kullback-Leibler divergence;alpha-divergence;f-divergence;geometrical
structure;information monotonicity;optimization problems;positive
arrays;probability distributions;Entropy;Information geometry;Matrix
decomposition;Physics;Probability distribution;$f$-divergence;Bregman
divergence;Fisher information;canonical divergence;dually flat structure;information
geometry;information monotonicity}
}
@ARTICLE{amari2009GSI,
author = {Amari, S.-I.},
title = {$\alpha$-Divergence Is Unique, Belonging to Both $f$-Divergence and
{B}regman Divergence Classes},
journal = {IEEE Trans Inf Theory},
year = {2009},
volume = {55},
pages = {4925-4931},
number = {11},
doi = {10.1109/TIT.2009.2030485},
issn = {0018-9448},
keywords = {geometry;optimisation;statistical distributions;Bregman divergence;Fisher
metric;Kullback-Leibler divergence;alpha-divergence;f-divergence;geometrical
structure;information monotonicity;optimization problems;positive
arrays;probability distributions;Entropy;Information geometry;Matrix
decomposition;Physics;Probability distribution;$f$-divergence;Bregman
divergence;Fisher information;canonical divergence;dually flat structure;information
geometry;information monotonicity},
owner = {Quentin},
timestamp = {2015.03.09}
}
@ARTICLE{KK.Ang2008FBCSP,
author = {K. K. Ang and Z. Y. Chin and H. Zhang and C. Guan},
title = {{Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface}},
journal = {Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational
Intelligence). IEEE International Joint Conference on},
year = {2008},
pages = {2390-2397}
}
@ARTICLE{KK.Ang2010Clinical,
author = {K. K. Ang and C. Guan and Chua, K.S.G. and B. T. Ang and
Kuah, C. and C. Wang and K. S. Phua and Z. Y. Chin
and H. Zhang},
title = {{Clinical study of neurorehabilitation in stroke using EEG-based
motor imagery brain-computer interface with robotic feedback}},
journal = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International
Conference of the IEEE},
year = {2010},
pages = {5549-5552}
}
@ARTICLE{ANG12,
author = {Ang, K. K. K. and Chin, Z. Y. Y. and Wang, C. and Guan,
C. and Zhang, H.},
title = {Filter Bank Common Spatial Pattern Algorithm on {BCI} Competition
{IV} Datasets 2a and 2b.},
journal = {Frontiers in neuroscience},
year = {2012},
volume = {6}
}
@ARTICLE{Arjona2011,
author = {Arjona, C. and Pentacolo, J. and Gareis, I. E. and Atum, Y. and Gentiletti,
G. and Acevedo, R. C. and Rufiner, H. L.},
title = {{Evaluation of LDA Ensembles Classifiers for Brain Computer Interface}},
journal = {Memorias del XVIII Congreso Argentino de Bioingenier\'{i}a (SABI
2011)},
year = {2011}
}
@ARTICLE{ARS07,
author = {Arsigny, V. and Fillard, P. and Pennec, X. and Ayache, N.},
title = {Geometric means in a novel vector space structure on symmetric positive-definite
matrices},
journal = {SIAM Journal on Matrix Analysis and Applications},
year = {2007},
volume = {29},
pages = {328--347},
number = {1},
publisher = {SIAM}
}
@ARTICLE{ARS06,
author = {Arsigny, V. and Fillard, P. and Pennec, X. and Ayache, N.},
title = {{Log-Euclidean} metrics for fast and simple calculus on diffusion
tensors},
journal = {Magn. Reson. Med.},
year = {2006},
volume = {56},
pages = {411--421},
number = {2}
}
@ARTICLE{Arvaneh2011,
author = {Arvaneh, M. and C. Guan and K. K. Ang and H. C. Quek},
title = {{Spatially sparsed Common Spatial Pattern to improve BCI performance}},
journal = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International
Conference on},
year = {2011},
pages = {2412-2415}
}
@ARTICLE{Bedard2006ModelOfLowPass,
author = {C. B\'{e}dard and H. Kr\"{o}ger and A. Destexhe},
title = {Model of low-pass filtering of local field potentials in brain tissue},
journal = {Nonlinear Soft Matter Physics},
year = {2006},
volume = {73},
pages = {051911}
}
@INPROCEEDINGS{BAK08b,
author = {Baklouti, M. and Guyot, P. A. and Monacelli, E. and Couvet, S.},
title = {Force controlled upper-limb powered exoskeleton for rehabilitation},
booktitle = {Intelligent Robots and Systems (IROS)},
year = {2008},
pages = {4202},
abstract = {The goal of this project is to develop an upper limb exoskeletal orthosis
destinated to help disabled population to achieve arm movements.
This orthosis is principally designed for people suffering from myopathy
and muscle degeneration. Such patients cannot generate enough force
to move alone their arm. This poster presents a new approach to control
the exoskeleton using pressure sensors.}
}
@ARTICLE{Bamdadian2011,
author = {Bamdadian, A. and C. Guan and K. K. Ang and J. Xu},
title = {{Real coded GA-based SVM for motor imagery classification in a Brain-Computer
Interface}},
journal = {Control and Automation (ICCA), 2011 9th IEEE International Conference
on},
year = {2011},
pages = {1355-1359}
}
@INPROCEEDINGS{barachant2013riemannian,
author = {Barachant, A. and Andreev, A. and Congedo, M.},
title = {The {R}iemannian Potato: an automatic and adaptive artifact detection
method for online experiments using {R}iemannian geometry},
booktitle = {Proceedings of TOBI Workshop IV},
year = {2013},
pages = {19--20}
}
@INPROCEEDINGS{barachant2011channel,
author = {Barachant, A. and Bonnet, S.},
title = {Channel selection procedure using {R}iemannian distance for {BCI}
applications},
booktitle = {Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference
on},
year = {2011},
pages = {348--351},
organization = {IEEE}
}
@ARTICLE{BAR13,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {Classification of covariance matrices using a {R}iemannian-based
kernel for {BCI} applications},
journal = {Neurocomputing},
year = {2013},
volume = {112},
pages = {172--178}
}
@ARTICLE{barachant2012multiclass,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {{Multiclass brain--computer interface classification by Riemannian
geometry}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2012},
volume = {59},
pages = {920--928},
number = {4},
publisher = {IEEE}
}
@ARTICLE{barachant2012multiclassGSI,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {{Multiclass brain--computer interface classification by Riemannian
geometry}},
journal = {IEEE Trans Biomed Eng},
year = {2012},
volume = {59},
pages = {920--928},
number = {4},
owner = {Quentin},
publisher = {IEEE},
timestamp = {2015.03.09}
}
@INPROCEEDINGS{barachant2010common,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {Common spatial pattern revisited by {R}iemannian geometry},
booktitle = {Multimedia Signal Processing (MMSP), 2010 IEEE International Workshop
on},
year = {2010},
pages = {472--476},
organization = {IEEE}
}
@INCOLLECTION{barachant2010riemannian,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {{R}iemannian geometry applied to {BCI} classification},
booktitle = {Latent Variable Analysis and Signal Separation},
publisher = {Springer},
year = {2010},
pages = {629--636}
}
@INPROCEEDINGS{barachant2012bci,
author = {Barachant, A. and Bonnet, S. and Congedo, M.
and Jutten, C.},
title = {{BCI} Signal Classification using a Riemannian-based kernel},
booktitle = {Proceeding of the 20th European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning},
year = {2012},
pages = {97--102}
}
@ARTICLE{Bashashati2007,
author = {Bashashati, A. and Fatourechi, M and Ward, RK and Birch, GE},
title = {{A survey of signal processing algorithms in brain-computer interfaces
based on electrical brain signals}},
journal = {journal of neural engineering},
year = {2007},
volume = {4},
number = {2}
}
@ARTICLE{BAY00,
author = {Bayliss, J. D. and Ballard, D. H.},
title = {Single trial P3 epoch recognition in a virtual environment},
journal = {Neurocomputing},
year = {2000},
volume = {32-33},
pages = {637--642}
}
@ARTICLE{Bayliss1998,
author = {J. D. Bayliss and D. H. Ballard},
title = {{Single Trial P300 Recognition in a Virtual Environment}},
journal = {University of Rochester},
year = {1998},
pages = {22-25}
}
@BOOK{begg2007computational,
title = {Computational Intelligence in Biomedical Engineering},
publisher = {Taylor \& Francis},
year = {2007},
author = {Begg, R. and Lai, D.T.H. and Palaniswami, M.},
isbn = {9780849340802}
}
@ARTICLE{Bhattacharyya2010,
author = {Bhattacharyya, S. and Khasnobish, A. and Chatterjee, S. and Konar,
A. and Tibarewala, D.N.},
title = {{Performance analysis of LDA, QDA and KNN algorithms in left-right
limb movement classification from EEG data}},
journal = {Systems in Medicine and Biology (ICSMB), 2010 International Conference
on},
year = {2010},
pages = {126-131}
}
@ARTICLE{Bin2009AnOnlineMultiCh,
author = {Bin, G. and Gao, X. and Yan, Z. and Hong, B. and Gao, S.},
title = {{An online multi-channel SSVEP-based brain-computer interface using
a canonical correlation analysis method}},
journal = {Journal of Neural Engineering},
year = {2009},
volume = {6},
number = {4}
}
@ARTICLE{blankertz2011single,
author = {Blankertz, B. and Lemm, S. and Treder, M. and Haufe,
S. and M{\"u}ller, K.-R.},
title = {Single-trial analysis and classification of {ERP} components: a tutorial},
journal = {NeuroImage},
year = {2011},
volume = {56},
pages = {814--825},
number = {2},
publisher = {Elsevier}
}
@ARTICLE{BLA04,
author = {Blankertz, B. and M\"{u}ller, Klaus-Robert R. and Curio, Gabriel
and Vaughan, Theresa M. and Schalk, Gerwin and Wolpaw, Jonathan R.
and Schl\"{o}gl, Alois and Neuper, Christa and Pfurtscheller, Gert
and Hinterberger, Thilo and Schr\"{o}der, Michael and Birbaumer,
Niels},
title = {The {BCI} competition 2003: progress and perspectives in detection
and discrimination of {EEG} single trials},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2004},
volume = {51},
pages = {1044--1051},
number = {6},
abstract = {Interest in developing a new method of man-to-machine communication-a
brain-computer interface ({BCI})-has grown steadily over the past
few decades. {BCIs} create a new communication channel between the
brain and an output device by bypassing conventional motor output
pathways of nerves and muscles. These systems use signals recorded
from the scalp, the surface of the cortex, or from inside the brain
to enable users to control a variety of applications including simple
word-processing software and orthotics. {BCI} technology could therefore
provide a new communication and control option for individuals who
cannot otherwise express their wishes to the outside world. Signal
processing and classification methods are essential tools in the
development of improved {BCI} technology. We organized the {BCI}
Competition 2003 to evaluate the current state of the art of these
tools. Four laboratories well versed in {EEG}-based {BCI} research
provided six data sets in a documented format. We made these data
sets (i.e., labeled training sets and unlabeled test sets) and their
descriptions available on the Internet. The goal in the competition
was to maximize the performance measure for the test labels. Researchers
worldwide tested their algorithms and competed for the best classification
results. This paper describes the six data sets and the results and
function of the most successful algorithms.},
publisher = {IEEE}
}
@ARTICLE{Blankertz2006,
author = {Blankertz, B. and Muller, K.-R. and Krusienski, D.J. and Schalk,
G. and Wolpaw, J.R. and Schlogl, A. and Pfurtscheller, G. and Millan,
Jd.R. and Schroder, M. and Birbaumer, N.},
title = {{The BCI competition III: validating alternative approaches to actual
BCI problems}},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2006},
volume = {14},
pages = {153-159},
number = {2}
}
@ARTICLE{BLA06,
author = {Blankertz, B. and Muller, K. R. and Krusienski, D. J. and Schalk,
G. and Wolpaw, J. R. and Schlogl, A. and Pfurtscheller, G. and Millan,
Jd and Schroder, M. and Birbaumer, N.},
title = {The {BCI} competition {III}: validating alternative approaches to
actual {BCI} problems},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2006},
volume = {14},
pages = {153--159},
number = {2},
abstract = {A brain-computer interface ({BCI}) is a system that allows its users
to control external devices with brain activity. Although the proof-of-concept
was given decades ago, the reliable translation of user intent into
device control commands is still a major challenge. Success requires
the effective interaction of two adaptive controllers: the user's
brain, which produces brain activity that encodes intent, and the
{BCI} system, which translates that activity into device control
commands. In order to facilitate this interaction, many laboratories
are exploring a variety of signal analysis techniques to improve
the adaptation of the {BCI} system to the user. In the literature,
many machine learning and pattern classification algorithms have
been reported to give impressive results when applied to {BCI} data
in offline analyses. However, it is more difficult to evaluate their
relative value for actual online use. {BCI} data competitions have
been organized to provide objective formal evaluations of alternative
methods. Prompted by the great interest in the first two {BCI} Competitions,
we organized the third {BCI} Competition to address several of the
most difficult and important analysis problems in {BCI} research.
The paper describes the data sets that were provided to the competitors
and gives an overview of the results.},
booktitle = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on [see also IEEE Trans. on Rehabilitation Engineering]},
publisher = {IEEE}
}
@ARTICLE{Blankertz2002,
author = {Blankertz, Benjamin and Schaefer, Christin and Dornhege, Guido and
Curio, Gabriel},
title = {{Single Trial Detection of EEG Error Potentials: A Tool for Increasing
BCI Transmission Rates}},
journal = {Artificial Neural Networks ICANN 2002},
year = {2002},
volume = {2415},
pages = {1137-1143}
}
@INCOLLECTION{BLA08,
author = {Blankertz, Benjamin and Tangermann, Michael and Popescu, Florin and
Krauledat, Matthias and Fazli, Siamac and D\'{o}naczy, M\'{a}rton
and Curio, Gabriel and M\"{u}ller, Klaus-Robert},
title = {The Berlin {Brain-Computer} Interface},
booktitle = {Computational Intelligence: Research Frontiers},
publisher = {Springer Berlin Heidelberg},
year = {2008},
volume = {5050},
series = {Lecture Notes in Computer Science},
pages = {79--101},
abstract = {The Berlin {Brain-Computer} Interface ({BBCI}) uses a machine learning
approach to extract subject-specific patterns from high-dimensional
{EEG}-features optimized for revealing the user's mental state. Classical
{BCI} application are brain actuated tools for patients such as prostheses
(see Section 4.1) or mental text entry systems ([2] and see [3,4,5,6]
for an overview on {BCI}). In these applications the {BBCI} uses
natural motor competences of the users and specifically tailored
pattern recognition algorithms for detecting the user's intent. But
beyond rehabilitation, there is a wide range of possible applications
in which {BCI} technology is used to monitor other mental states,
often even covert ones (see also [7] in the {fMRI} realm). While
this field is still largely unexplored, two examples from our studies
are exemplified in Section 4.3 and 4.4.}
}
@ARTICLE{BLA08b,
author = {Blankertz, B. and Tomioka, R. and Lemm, S. and Kawanabe, M. and Muller,
K. R.},
title = {{Optimizing Spatial filters for Robust {EEG} {Single-Trial} Analysis}},
journal = {Signal Processing Magazine, IEEE},
year = {2008},
volume = {25},
pages = {41--56},
number = {1},
abstract = {Due to the volume conduction multichannel electroencephalogram ({EEG})
recordings give a rather blurred image of brain activity. Therefore
spatial filters are extremely useful in single-trial analysis in
order to improve the signal-to-noise ratio. There are powerful methods
from machine learning and signal processing that permit the optimization
of spatio-temporal filters for each subject in a data dependent fashion
beyond the fixed filters based on the sensor geometry, e.g., Laplacians.
Here we elucidate the theoretical background of the common spatial
pattern ({CSP}) algorithm, a popular method in brain-computer interface
({BCD} research. Apart from reviewing several variants of the basic
algorithm, we reveal tricks of the trade for achieving a powerful
{CSP} performance, briefly elaborate on theoretical aspects of {CSP},
and demonstrate the application of {CSP}-type preprocessing in our
studies of the Berlin {BCI} ({BBCI}) project.},
booktitle = {{Signal Processing Magazine, IEEE}},
publisher = {IEEE}
}
@ARTICLE{Brunner2007Spati,
author = {Clemens Brunner and Muhammad Naeem and Robert Leeb and Bernhard Graimann
and Gert Pfurtscheller},
title = {{Spatial filtering and selection of optimized components in four
class motor imagery EEG data using independent components analysis}},
journal = {Pattern Recognition Letters},
year = {2007},
volume = {28},
pages = {957-964},
number = {8}
}
@ARTICLE{Brunner2011,
author = {P Brunner and L Bianchi and C Guger and F Cincotti and G Schalk},
title = {{Current trends in hardware and software for brain-computer interfaces
(BCIs)}},
journal = {Journal of Neural Engineering},
year = {2011},
volume = {8},
pages = {025001},
number = {2}
}
@ARTICLE{Capilla2011SteadyState,
author = {Capilla, Almudena AND Pazo-Alvarez, Paula AND Darriba, Alvaro AND
Campo, Pablo AND Gross, Joachim},
title = {{Steady-State Visual Evoked Potentials Can Be Explained by Temporal
Superposition of Transient Event-Related Responses}},
journal = {PLoS ONE},
year = {2011},
volume = {6},
pages = {e14543},
number = {1}
}
@ARTICLE{Cecotti2011,
author = {Hubert Cecotti},
title = {{A time-frequency convolutional neural network for the offline classification
of steady-state visual evoked potential responses}},
journal = {Pattern Recognition Letters },
year = {2011},
volume = {32},
pages = {1145 - 1153},
number = {8}
}
@ARTICLE{cecotti2010selfpacessvep,
author = {Cecotti, H.},
title = {{A Self-Paced and Calibration-Less SSVEP-Based Brain Computer Interface
Speller}},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2010},
volume = {18},
pages = {127-133},
number = {2}
}
@ARTICLE{Cecotti2008,
author = {Cecotti, H. and Graeser, A.},
title = {{Convolutional Neural Network with embedded Fourier Transform for
EEG classification}},
journal = {Pattern Recognition, 2008. ICPR 2008. 19th International Conference
on},
year = {2008},
pages = {1-4}
}
@ELECTRONIC{ceremh,
author = {{CEREMH}},
title = {{Centre de Ressources \& d'Innovation Mobilit\'{e}({CEREMH})}},
url = {{http://www.ceremh.org/}}
}
@ARTICLE{CHAN11,
author = {Chang, Chih C. and Lin, Chih J.},
title = {{LIBSVM}: A Library for Support Vector Machines},
journal = {ACM Trans. Intell. Syst. Technol.},
year = {2011},
volume = {2},
number = {3},
publisher = {ACM}
}
@ARTICLE{Chang2011,
author = {Chang, Chih C. and Lin, Chih J.},
title = {{LIBSVM: A library for support vector machines}},
journal = {ACM Transactions on Intelligent Systems and Technology},
year = {2011},
volume = {2},
number = {3}
}
@INCOLLECTION{CHA11,
author = {Chaudhary, A. and Raheja, J.L. and Das, K. and Raheja, S.},
title = {A Survey on Hand Gesture Recognition in Context of Soft Computing
Advanced Computing},
booktitle = {Communications in Computer and Information Science},
year = {2011},
volume = {133},
pages = {46--55},
abstract = {Hand gestures recognition is the natural way of Human Machine interaction
and today many researchers in the academia and industry are interested
in this direction. It enables human being to interact with machine
very easily and conveniently without wearing any extra device. It
can be applied from sign language recognition to robot control and
from virtual reality to intelligent home systems. In this paper we
are discussing work done in the area of hand gesture recognition
where focus is on the soft computing based methods like artificial
neural network, fuzzy logic, genetic algorithms, etc. We also described
hand detection methods in the preprocessed image for detecting the
hand image. Most researchers used fingertips for hand detection in
appearance based modeling. Finally we are comparing results given
by different researchers after their implementation.}
}
@ARTICLE{CHE12,
author = {Chebbi, Zeineb and Moakher, Maher},
title = {Means of {H}ermitian positive-definite matrices based on the log-determinant
$\alpha$-divergence function},
journal = {Linear Algebra and its Applications},
year = {2012},
volume = {436},
pages = {1872--1889},
number = {7}
}
@ARTICLE{Chen2010,
author = {Cheng Chen and Wei Song and Jiacai Zhang and Zhiping Hu and He Xu},
title = {{An Adaptive Feature Extraction Method for Motor-Imagery BCI Systems}},
journal = {Computational Intelligence and Security (CIS), 2010 International
Conference on},
year = {2010},
pages = {275-279}
}
@INPROCEEDINGS{chen2012eeg,
author = {Chen, Chiu-Kuo and Chua, E and Hsieh, Zong-Han and Fang, Wai-Chi
and Wang, Yu-Te and Jung, Tzyy-Ping},
title = {An EEG-based brain?computer interface with real-time artifact removal
using independent component analysis},
booktitle = {Consumer Electronics-Berlin (ICCE-Berlin), 2012 IEEE International
Conference on},
year = {2012},
pages = {13--14},
organization = {IEEE}
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title = {{Ensembles of temporal filters enhance classification performance
for ERD-based BCI systems}},
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year = {2008}
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title = {{Error-Related EEG Potentials Generated During Simulated Brain-Computer
Interaction}},
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author = {Ferrez, P. W. and Millan, J. del R.},
title = {{Simultaneous Real-Time Detection of Motor Imagery and Error-Related
Potentials for Improved BCI Accuracy}},
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author = {Goh, Alvina and Vidal, Ren{\'e}},
title = {{Clustering and dimensionality reduction on Riemannian manifolds}},
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on}},
year = {2008},
pages = {1--7},
organization = {IEEE}
}
@INPROCEEDINGS{goh2008unsupervised,
author = {Goh, Alvina and Vidal, Ren{\'e}},
title = {{Unsupervised Riemannian clustering of probability density functions}},
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on},
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title = {{Rapid prototyping of an EEG-based brain-computer interface (BCI)}},
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on},
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author = {Hammer, Eva M. and Halder, Sebastian and Blankertz, Benjamin and
Sannelli, Claudia and Dickhaus, Thorsten and Kleih, Sonja and M{\"u}ller,
Klaus-Robert and K{\"u}bler, Andrea},
title = {{Psychological predictors of {SMR}-{BCI} performance}},
journal = {Biological Psychology},
year = {2012},
volume = {89},
pages = {80--86},
number = {1},
abstract = {After about 30 years of research on {Brain-Computer} Interfaces ({BCIs})
there is little knowledge about the phenomenon, that some people
- healthy as well as individuals with disease -- are not able to
learn {BCI}-control. To elucidate this " {BCI}-inefficiency" phenomenon,
the current study investigated whether psychological parameters,
such as attention span, personality or motivation, could predict
performance in a single session with a {BCI} controlled by modulation
of sensorimotor rhythms ({SMR}) with motor imagery. A total of N
= 83 healthy {BCI} novices took part in the session. Psychological
parameters were measured with an electronic test-battery including
clinical, personality and performance tests. Predictors were determined
by binary logistic regression analyses. The output variable of the
{Two-Hand} Coordination Test ({2HAND}) \" overall mean error duration\"
which is a measure for the accuracy of fine motor skills accounted
for 11\% of the variance in {BCI}-inefficiency. The Attitudes Towards
Work ({AHA}) test variable \"performance level\" which can be interpreted
as a degree of concentration and a neurophysiological {SMR} predictor
were also identified as significant predictors of {SMR} {BCI} performance.
Psychological parameters as measured in this study play a moderate
role for one-session performance in a {BCI} controlled by modulation
of {SMR}. Fine motor skills predict {SMR}-{BCI} performance. The
amount of concentration predicts {SMR}-{BCI} performance. Biological,
psychological and physiological factors lead to an explanation of
30\% of the variance in {SMR}-{BCI} performance.}
}
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BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed
Subjects}},
journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
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number = {2}
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@ELECTRONIC{openvibe,
author = {{INRIA}},
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}
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Li, Hongdong and Harandi, Mehrtash},
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booktitle = {Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference
on},
year = {2013},
pages = {73--80},
organization = {IEEE}
}
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number = {1}
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year = {2011},
author = {Jost, J{\"u}rgen},
volume = {62011}
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R. and Yger, F. and Rakotomamonjy, A.},
title = {{sw-SVM}: sensor weighting support vector machines for {EEG}-based
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year = {2011},
volume = {8},
pages = {056004+}
}
@ARTICLE{Jrad2011,
author = {N Jrad and M Congedo and R Phlypo and S Rousseau and R Flamary and
F Yger and A Rakotomamonjy},
title = {{sw-SVM: sensor weighting support vector machines for EEG-based brain-computer
interfaces}},
journal = {Journal of Neural Engineering},
year = {2011},
volume = {8},
pages = {056004},
number = {5}
}
@INPROCEEDINGS{kalunga2013ssvep,
author = {Kalunga, Emmanuel and Djouani, Karim and Hamam, Yskandar and Chevallier,
Sylvain and Monacelli, Eric},
title = {{SSVEP enhancement based on Canonical Correlation Analysis to improve
BCI performances}},
booktitle = {AFRICON, 2013},
year = {2013},
pages = {1--5},
organization = {IEEE}
}
@TECHREPORT{KAL15,
author = {Kalunga, Emmanuel K. and Chevallier, Sylvain and Barth\'elemy, Quentin},
title = {Using Riemannian geometry for {SSVEP}-based Brain Computer Interface},
institution = {Tshwane University of Technology \& Universit\'e de Versailles Saint-Quentin},
year = {2015},
archiveprefix = {arXiv},
url = {http://arxiv.org/abs/1501.03227}
}
@INPROCEEDINGS{kalunga2014hybrid,
author = {Kalunga, Emmanuel K. and Chevallier, Sylvain and Rabreau, Olivier
and Monacelli, Eric},
title = {{Hybrid interface: Integrating BCI in multimodal human-machine interfaces}},
booktitle = {Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME Int. Conf.
on},
year = {2014},
pages = {530--535},
organization = {IEEE},
citeulike-article-id = {13492921},
keywords = {bcihybrid, bvi, ethicomp2015},
posted-at = {2015-01-16 03:05:23},
priority = {2}
}
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and Ritter, H.},
title = {{BCI competition 2003-data set IIb: support vector machines for the
P300 speller paradigm}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2004},
volume = {51},
pages = {1073-1076},
number = {6}
}
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journal = {Mechatronics (ICOM), 2011 4th International Conference On},
year = {2011},
pages = {1-7}
}
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@ARTICLE{Krusienski2008,
author = {Krusienski, Dean J. and Sellers, Eric W. and McFarland, Dennis J.
and Vaughan, Theresa M. and Wolpaw, Jonathan R.},
title = {{Toward Enhanced P300 Speller Performance}},
journal = {Journal of Neuroscience Methods},
year = {2008},
volume = {167},
pages = {15-21},
number = {1}
}
@ARTICLE{Kumar2010Design,
author = {Kumar, A. and Mohanty, M.N. and Routray, A.},
title = {{Design of Support Vector Machines with Time Frequency Kernels for
classification of EEG signals}},
journal = {Students' Technology Symposium (TechSym), 2010 IEEE},
year = {2010},
pages = {330-333}
}
@ARTICLE{Lalor2005,
author = {Lalor, E. C. and Kelly, S. P. and Finucane, C. and Burke, R. and
Smith, R. and Reilly, R. B. and McDarby, G.},
title = {{Steady-state VEP-based brain-computer interface control in an immersive
3D gaming environment}},
journal = {EURASIP Journal on Applied Signal Processing},
year = {2005},
volume = {2005},
pages = {3156-3164},
numpages = {9}
}
@INCOLLECTION{Lao2013,
author = {Lao, KaFai and Wong, ChiMan and Wan, Feng and Mak, PuiIn and Mak,
PengUn and Vai, MangI},
title = {Canonical Correlation Analysis Neural Network for {Steady-State}
Visual Evoked Potentials Based {Brain-Computer} Interfaces},
booktitle = {Advances in Neural Networks - ISNN 2013},
publisher = {Springer},
year = {2013},
editor = {Guo, Chengan and Hou, Zeng-Guang and Zeng, Zhigang},
volume = {7952},
series = {Lecture Notes in Computer Science},
pages = {276--283}
}
@ARTICLE{ledoit2004well,
author = {Ledoit, Olivier and Wolf, Michael},
title = {A well-conditioned estimator for large-dimensional covariance matrices},
journal = {Journal of multivariate analysis},
year = {2004},
volume = {88},
pages = {365--411},
number = {2},
publisher = {Elsevier}
}
@ARTICLE{Lee2003,
author = {Hyekyung Lee and Seungjin Choi},
title = {{PCA+HMM+SVM for EEG pattern classification}},
journal = {Signal Processing and Its Applications, 2003. Proceedings. Seventh
International Symposium on},
year = {2003},
volume = {1},
pages = { 541-544}
}
@ARTICLE{Lee2002,
author = {Lee, Hyekyoung and Choi, Seungjin},
title = {{PCA-based linear dynamical systems for multichannel EEG classification}},
journal = {Neural Information Processing, 2002. ICONIP '02. Proceedings of the
9th International Conference on},
year = {2002},
volume = {2},
pages = { 745-749}
}
@BOOK{lee2010introduction,
title = {Introduction to topological manifolds},
publisher = {Springer},
year = {2010},
author = {Lee, John},
volume = {940}
}
@ARTICLE{Leeb2010,
author = {Leeb, R. and Sagha, H. and Chavarriaga, R. and del R Millan, J.},
title = {{Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI}},
journal = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International
Conference of the IEEE},
year = {2010},
pages = {4343-4346}
}
@ARTICLE{Legeny2013,
author = {Legeny, J. and Viciana-Abad, R. and L{\'e}cuyer, A.},
title = {Toward Contextual SSVEP-Based BCI Controller: Smart Activation of
Stimuli and Control Weighting},
journal = {Computational Intelligence and AI in Games, IEEE Transactions on},
year = {2013},
volume = {5},
pages = {111-116},
number = {2},
month = {June}
}
@ARTICLE{Lei2009,
author = {Xu Lei and Ping Yang and Peng Xu and Tie-Jun Liu and De-Zhong Yao},
title = {{Common Spatial Pattern Ensemble Classifier and its Application in
Brain-Computer Interface}},
journal = {Journal of electronic science and technology of China},
year = {2009},
volume = {7},
number = {1}
}
@ARTICLE{Lemm2004,
author = {Lemm, S. and Schafer, C. and Curio, G.},
title = {{BCI competition 2003-data set III: probabilistic modeling of sensorimotor
mu; rhythms for classification of imaginary hand movements}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2004},
volume = {51},
pages = {1077-1080},
number = {6}
}
@ARTICLE{Lenhardt2008,
author = {Lenhardt, A. and Kaper, M. and Ritter, H.J.},
title = {{An Adaptive P300-Based Online Brain Computer Interface}},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2008},
volume = {16},
pages = {121-130},
number = {2}
}
@ARTICLE{Li2011Multi-class,
author = {Mingai Li and Lin Lin and Songmin Jia},
title = {{Multi-class imagery EEG recognition based on adaptive subject-based
feature extraction and SVM-BP classifier}},
journal = {Mechatronics and Automation (ICMA), 2011 International Conference
on},
year = {2011},
pages = {1184-1189}
}
@ARTICLE{li2012electroencephalogram,
author = {Li, Y and Wong, KM and De Bruin, H},
title = {Electroencephalogram signals classification for sleepstate decision:
A {R}iemannian geometry approach},
journal = {Signal Processing, IET},
year = {2012},
volume = {6},
pages = {288--299},
number = {4},
publisher = {IET}
}
@ARTICLE{LI13,
author = {Li, Yili and Wong, K. M.},
title = {Riemannian Distances for Signal Classification by Power Spectral
Density},
journal = {Selected Topics in Signal Processing, IEEE Journal of},
year = {2013},
volume = {7},
pages = {655--669},
number = {4},
publisher = {IEEE}
}
@INPROCEEDINGS{li2009eeg,
author = {Li, Yili and Wong, Kon Max and De Bruin, H},
title = {{EEG} signal classification based on a {R}iemannian distance measure},
booktitle = {Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto
International Conference},
year = {2009},
pages = {268--273},
organization = {IEEE}
}
@ARTICLE{Lin2007,
author = {Zhonglin Lin and Changshui Zhang and Wei Wu and Xiaorong Gao},
title = {{Frequency Recognition Based on Canonical Correlation Analysis for
SSVEP-Based BCIs}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2006},
volume = {53},
pages = {2610-2614},
number = {12}
}
@ARTICLE{Liu2011Novel,
author = {Yi Hung Liu and Ching An Cheng and Han-Pang Huang},
title = {Novel feature of the {EEG} based motor imagery {BCI} system: Degree
of imagery},
journal = {System Science and Engineering (ICSSE), 2011 International Conference
on},
year = {2011},
pages = {515-520}
}
@ARTICLE{LOP09,
author = {Lopez, M. A. and Pomares, Hector and Pelayo, Francisco and Urquiza,
Jose and Perez, Javier},
title = {Evidences of cognitive effects over auditory steady-state responses
by means of artificial neural networks and its use in brain--computer
interfaces},
journal = {Neurocomputing},
year = {2009},
volume = {72},
pages = {3617--3623},
number = {16-18}
}
@ARTICLE{Lopez-Gordo2010,
author = {Lopez-Gordo, M.A. and Pelayo, F. and Prieto, A.},
title = {{A high performance SSVEP-BCI without gazing}},
journal = {Neural Networks (IJCNN), The 2010 International Joint Conference
on},
year = {2010},
pages = {1-5}
}
@ARTICLE{Lotte2007Review,
author = {Lotte, F. and Congedo, M. and L\'{e}cuyer, A. and Lamarche, F. and
Arnaldi, B.},
title = {{A review of classification algorithms for EEG-based brain-computer
interfaces.}},
journal = {Journal of Neural Engineering},
year = {2007},
volume = {4},
pages = {R1},
number = {2}
}
@ARTICLE{LOT11,
author = {Lotte, F. and Guan, Cuntai},
title = {{Regularizing Common Spatial Patterns to Improve {BCI} Designs: Unified
Theory and New Algorithms}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2011},
volume = {58},
pages = {355--362},
number = {2}
}
@ARTICLE{Lotte2008,
author = {Lotte, Fabien and Mouch\`{e}re, Harold and L\'{e}cuyer, Anatole},
title = {{Pattern rejection strategies for the design of self-paced EEG-based
Brain-Computer Interfaces.}},
journal = {ICPR},
year = {2008},
pages = {1-5},
publisher = {IEEE}
}
@ARTICLE{lotte2010exploring,
author = {Lotte, Fabien and Van Langhenhove, Aur{\'e}lien and Lamarche, Fabrice
and Ernest, Thomas and Renard, Yann and Arnaldi, Bruno and L{\'e}cuyer,
Anatole},
title = {Exploring large virtual environments by thoughts using a brain-computer
interface based on motor imagery and high-level commands},
journal = {Presence: teleoperators and virtual environments},
year = {2010},
volume = {19},
pages = {54--70},
number = {1}
}
@ARTICLE{Lu2010Regular,
author = {Haiping Lu and How-Lung Eng and Cuntai Guan and Plataniotis, K.N.
and Venetsanopoulos, A.N.},
title = {{Regularized Common Spatial Pattern With Aggregation for EEG Classification
in Small-Sample Setting}},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2010},
volume = {57},
pages = {2936-2946},
number = {12}
}
@ARTICLE{Muller2004machinelearning,
author = {K.R. M\"{u}ller and M. Krauledat and G. Dornhege and G. Curio and
B. Blankertz},
title = {Machine learning techniques for brain-computer interfaces},
journal = {Biomedical Engineering},
year = {2004},
pages = {11-22}
}
@ARTICLE{Ma2011,
author = {Xin Ma},
title = {{The research of brain-computer interface based on AAR parameters
and neural networks classifier}},
journal = {Computer Science and Network Technology (ICCSNT), 2011 International
Conference on},
year = {2011},
volume = {4},
pages = {2561-2564}
}
@ARTICLE{Manoochehri2011,
author = {Manoochehri, M. and Moradi, M.H.},
title = {{The new post processing method for self-paced BCI system}},
journal = {Biomedical Engineering (ICBME), 2011 18th Iranian Conference of},
year = {2011},
pages = {152-155}
}
@INPROCEEDINGS{CHE12a,
author = {Martin, Hugo and Chevallier, Sylvain and Monacelli, Eric},
title = {{Fast calibration of hand movement-based interface for arm exoskeleton
control}},
booktitle = {{European Symposium on Artificial Neural Networks (ESANN)}},
year = {2012},
pages = {573--578},
abstract = {Several muscular degenerative diseases alter motor abilities of large
muscles but spare smaller muscles, e.g. keeping hand motor skills
relatively unaffected while upper limbs ones are altered. Thus, hand
movements could be be used to control an arm exoskeleton for rehabilitation
and assistive purpose. Using an infra-red sensors (IR) based interface
for the exoskeleton control, this paper describes the learning part
of the system, endowing the system with a fast online calibration
and adaptation abilities. This learning component shows good results
and have been successfully implemented on the real system.}
}
@ARTICLE{McFarland2006,
author = {McFarland, D.J. and Anderson, C.W. and Muller, K.R. and Schlogl,
A. and Krusienski, D.J.},
title = {{BCI} meeting 2005-workshop on {BCI} signal processing: feature extraction
and translation},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2006},
volume = {14},
pages = {135-138},
number = {2}
}
@ARTICLE{McFarland1997El,
author = {McFarland, D. and McCane, L. and David, S. and Wolpaw, J.},
title = {{Spatial filter selection for EEG-based communication}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1997},
volume = {103},
pages = {386--394},
number = {3}
}
@ARTICLE{McFarland1997,
author = {Dennis J. McFarland and Lynn M. McCane and Stephen V. David and Jonathan
R. Wolpaw},
title = {{Spatial filter selection for EEG-based communication}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1997},
volume = {103},
pages = {386-394},
number = {3}
}
@ARTICLE{Millan2010,
author = {Mill\'{a}n, Jos\'{e} del R. and Rupp, Rudiger and Mueller-Putz, Gernot
and Murray-Smith, Roderick and Giugliemma, Claudio and Tangermann,
Michael and Vidaurre, Carmen and Cincotti, Febo and Kubler, Andrea
and Leeb, Robert and Neuper, Christa and Mueller, Klaus R and Mattia,
Donatella},
title = {{Combining Brain-Computer Interfaces and Assistive Technologies:
State-of-the-Art and Challenges}},
journal = {Frontiers in Neuroscience},
year = {2010},
volume = {4},
number = {161}
}
@ARTICLE{Millan2009,
author = {Millan, J.d.R. and Galan, F. and Vanhooydonck, D. and Lew, E. and
Philips, J. and Nuttin, M.},
title = {Asynchronous non-invasive brain-actuated control of an intelligent
wheelchair},
journal = {Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual
International Conference of the IEEE},
year = {2009},
pages = {3361-3364}
}
@ARTICLE{Millan2004noninvasivebrain,
author = {Jose Del R. Millan and Frederic Renkens and Josep Mourino and Wulfram
Gerstner},
title = {{Noninvasive brain-actuated control of a mobile robot by human EEG}},
journal = {IEEE Transactions on Biomedical Engineering},
year = {2004},
volume = {51},
pages = {1026-1033}
}
@ARTICLE{Ming2012,
author = {Dong Ming and Changcheng Sun and Longlong Cheng and Yanru Bai and
Xiuyun Liu and Xingwei An and Hongzhi Qi and Baikun Wan and Yong
Hu and Luk, K.D.K.},
title = {{ICA-SVM combination algorithm for identification of motor imagery
potentials}},
journal = {Computational Intelligence for Measurement Systems and Applications
(CIMSA), 2010 IEEE International Conference on},
year = {2010},
pages = {92-96}
}
@ARTICLE{moakher2005differential,
author = {Moakher, Maher},
title = {A differential geometric approach to the geometric mean of symmetric
positive-definite matrices},
journal = {SIAM Journal on Matrix Analysis and Applications},
year = {2005},
volume = {26},
pages = {735--747},
number = {3},
publisher = {SIAM}
}
@ARTICLE{Mohamed2011,
author = {Mohamed, A.K. and Marwala, T. and John, L.R.},
title = {{Single-trial EEG discrimination between wrist and finger movement
imagery and execution in a sensorimotor BCI}},
journal = {Engineering in Medicine and Biology Society,EMBC, 2011 Annual International
Conference of the IEEE},
year = {2011},
pages = {6289-6293}
}
@ARTICLE{movahedi2013development,
author = {Movahedi, MM and Mehdizadeh, AR and Alipour, A},
title = {Development of a Brain Computer Interface (BCI) Speller System Based
on SSVEP Signals},
journal = {Journal of Biomedical Physics and Engineering},
year = {2013},
volume = {3},
number = {3 Sep}
}
@ARTICLE{Mueller-Putz2008,
author = {Mueller-Putz, Gernot and Scherer, Reinhold and Brunner, Clemens and
Leeb, Robert and Pfurtscheller, Gert},
title = {Better than random: {A} closer look on {BCI} results.},
journal = {International Journal of Bioelectromagnetism},
year = {2008},
volume = {10},
pages = {52-55},
number = {1}
}
@ARTICLE{Muller-Putz2008ControlOfAnElec,
author = {Muller-Putz, Gernot R. and Pfurtscheller, Gert},
title = {{Control of an Electrical Prosthesis With an SSVEP-Based BCI}},
journal = {IEEE Transactions on Biomedical Engineering},
year = {2008},
volume = {55},
pages = {361-364},
number = {1}
}
@ARTICLE{Neuper1999,
author = {Neuper, C. and Pfurtscheller, G. and Schlogl, A. },
title = {{Enhancement of left-right sensorimotor EEG differences during feedback-regulated
motor imagery}},
journal = {Clinical Neurology},
year = {1999},
volume = {16},
pages = {373-382},
number = {4}
}
@ARTICLE{NicolasAlonso2012,
author = {Nicolas-Alonso and Luis Fernando and Gomez-Gil, Jaime},
title = {{Brain Computer Interfaces, a Review}},
journal = {Sensors},
year = {2012},
volume = {12},
pages = {1211-1279},
number = {2}
}
@BOOK{NIE04,
title = {Electroencephalography: Basic Principles, Clinical Applications,
and Related Fields},
publisher = {Lippincott Williams \& Wilkins},
year = {2004},
author = {Niedermeyer, E. and Lopes da Silva, F.},
edition = {5th}
}
@BOOK{Niedermeyer2004,
title = {Electroencephalography: Basic Principles, Clinical Applications,
and Related Fields},
publisher = {Lippincott Williams \& Wilkins},
year = {2004},
author = {Niedermeyer, Ernst and da Silva, Fernando L.},
edition = {5th},
isbn = {0781751268}
}
@BOOK{NIE12,
title = {Matrix Information Geometry},
publisher = {Springer Publishing Company, Incorporated},
year = {2012},
author = {Nielsen, Frank and Bhatia, Rajendra}
}
@BOOK{Nunez2005ElectricFieldsOfTheBrain,
title = {{Electric Fields of the Brain: The Neurophysics of EEG, 2nd Edition}},
publisher = {Oxford University Press, USA},
year = {2005},
author = {Nunez, Paul L. and Srinivasan, Ramesh},
edition = {2},
isbn = {019505038X}
}
@ARTICLE{Obermaier2001,
author = {B Obermaier and C Guger and C Neuper and G Pfurtscheller},
title = {{Hidden Markov models for online classification of single trial EEG
data}},
journal = {Pattern Recognition Letters},
year = {2001},
volume = {22},
pages = {1299-1309},
number = {12}
}
@ARTICLE{Ozmen2011Discrim,
author = {Ozmen, N.G. and Ktu, L.G.},
title = {{Discrimination between mental and motor tasks of EEG signals using
different classification methods}},
journal = {Innovations in Intelligent Systems and Applications (INISTA), 2011
International Symposium on},
year = {2011},
pages = {143-147}
}
@ARTICLE{Palaniappan2000,
author = {Palaniappan, R. and Raveendran, P. and Nishida, S. and Saiwaki, N.},
title = {{Autoregressive spectral analysis and model order selection criteria
for EEG signals}},
journal = {TENCON 2000. Proceedings},
year = {2000},
volume = {2},
pages = {126-129}
}
@ARTICLE{Pan2011,
author = {Pan, Jie and Gao, Xiaorong and Duan, Fang and Yan, Zheng and Gao,
Shangkai},
title = {Enhancing the classification accuracy of steady-state visual evoked
potential-based brain-computer interfaces using phase constrained
canonical correlation analysis},
journal = {Journal of neural engineering},
year = {2011},
volume = {8},
pages = {036027},
number = {3}
}
@ARTICLE{panicker2010adaptation,
author = {Panicker, Rajesh C and Puthusserypady, Sadasivan and Sun, Ying},
title = {Adaptation in P300 brain--computer interfaces: A two-classifier cotraining
approach},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2010},
volume = {57},
pages = {2927--2935},
number = {12},
publisher = {IEEE}
}
@INPROCEEDINGS{pascal123theoretical,
author = {Pascal, F. and Forster, P. and Ovarlez, J. -P and Arzabal, P.},
title = {Theoretical analysis of an improved covariance matrix estimator in
non-Gaussian noise},
booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP). },
year = {2005},
volume = {4},
month = {March}
}
@ARTICLE{Pastor2003Human,
author = {Pastor, Maria A.},
title = {Human cerebral activation during steady-state visual-evoked responses},
journal = {The Journal of Neuroscience},
year = {2003},
volume = {23},
pages = {11621-11627},
number = {37}
}
@ARTICLE{pencina2008evaluating,
author = {Pencina, Michael J and D'Agostino, Ralph B and Vasan, Ramachandran
S},
title = {Evaluating the added predictive ability of a new marker: from area
under the {ROC} curve to reclassification and beyond},
journal = {Statistics in medicine},
year = {2008},
volume = {27},
pages = {157--172},
number = {2},
publisher = {Wiley Online Library}
}
@ARTICLE{PEN06,
author = {Pennec, Xavier and Fillard, Pierre and Ayache, Nicholas},
title = {A {R}iemannian Framework for Tensor Computing},
journal = {International Journal of Computer Vision},
year = {2006},
volume = {66},
pages = {41--66},
number = {1}
}
@ARTICLE{Penny2000EEG-based,
author = {Penny, W.D. and Roberts, S.J. and Curran, E.A. and Stokes, M.J.},
title = {{EEG}-based communication: a pattern recognition approach},
journal = {Rehabilitation Engineering, IEEE Transactions on},
year = {2000},
volume = {8},
pages = {214-215},
number = {2}
}
@ARTICLE{Pfurtscheller1992,
author = {Pfurtscheller},
title = {{Event-related synchronization ({ERS}): an electrophysiological correlate
of cortical areas at rest}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1992},
volume = {83},
pages = {62-69},
number = {1}
}
@ARTICLE{Pfurtscheller1977Graph,
author = {Pfurtscheller, Gert},
title = {{Graphical display and statistical evaluation of event-related desynchronization
(ERD)}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1977},
volume = {43},
pages = {757-760},
number = {5}
}
@ARTICLE{PFU10,
author = {Pfurtscheller, Gert and Allison, Brendan Z. and Brunner, Clemens
and Bauernfeind, Gunther and Solis-Escalante, Teodoro and Scherer,
Reinhold and Zander, Thorsten O. and Mueller-Putz, Gernot and Neuper,
Christa and Birbaumer, Niels},
title = {The hybrid {BCI}},
journal = {Frontiers in neuroscience},
year = {2010},
volume = {4}
}
@ARTICLE{Pfurtscheller1977Event,
author = {G Pfurtscheller and A Aranibar},
title = {{Event-related cortical desynchronization detected by power measurements
of scalp EEG}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1977},
volume = {42},
pages = {817-826},
number = {6}
}
@ARTICLE{PFU93,
author = {Pfurtscheller, Gert and Flotzinger, Doris and Kalcher, Joachim},
title = {{Brain-Computer} Interface - a new communication device for handicapped
persons},
journal = {Journal of Microcomputer Applications},
year = {1993},
volume = {16},
pages = {293--299},
number = {3},
month = jul,
abstract = {A {Brain-Computer} Interface ({BCI}) is a system which can bypass
the normal motor output through the spine by using bioelectrical
signals recorded on the intact scalp during purely mental activity.
Such a {BCI} must be able to classify {EEG} patterns on-line and
can be used to control, e.g. the movement of a cursor on a monitor.
First results on a {BCI} developed in Graz are reported: 85\% correct
movements can be obtained after only a few days training.}
}
@ARTICLE{pfurtscheller1999ERDreview,
author = {Pfurtscheller, G. and Lopes da Silva, F. H.},
title = {{Event-related EEG/MEG synchronization and desynchronization: basic
principles.}},
journal = {Clinical Neurophysiology},
year = {1999},
volume = {110},
pages = {1842-1857},
number = {11}
}
@ARTICLE{pfurtscheller2001motorimagery,
author = {Pfurtscheller, G. and Neuper, C.},
title = {{Motor imagery and direct brain-computer communication}},
journal = {Proceedings of the IEEE},
year = {2001},
volume = {89},
pages = {1123-1134},
number = {7},
publisher = {IEEE}
}
@ARTICLE{Pfurtscheller1994Event,
author = {Gert Pfurtscheller and Christa Neuper},
title = {{Event-related synchronization of mu rhythm in the EEG over the cortical
hand area in man}},
journal = {Neuroscience Letters},
year = {1994},
volume = {174},
pages = {93-96},
number = {1}
}
@ARTICLE{Pfurtscheller2000,
author = {Pfurtscheller, G. and Neuper, C. and Guger, C. and Harkam, W. and
Ramoser, H. and Schlogl, A. and Obermaier, B. and Pregenzer, M.},
title = {{Current trends in {G}raz brain-computer interface ({BCI}) research}},
journal = {Rehabilitation Engineering, IEEE Transactions on},
year = {2000},
volume = {8},
pages = {216-219},
number = {2}
}
@ARTICLE{Pfurtscheller2010SelfPaced,
author = {Pfurtscheller, G. and Solis-Escalante, T. and Ortner, R. and Linortner,
P. and Muller-Putz, G.R.},
title = {{Self-Paced Operation of an SSVEP-Based Orthosis With and Without
an Imagery-Based Brain Switch: A Feasibility Study Towards a Hybrid
BCI}},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2010},
volume = {18},
pages = {409-414},
number = {4}
}
@ARTICLE{Pfurtscheller1997Onthe,
author = {G. Pfurtscheller and A Stanck and G Edlinger},
title = {{On the existence of different types of central beta rhythms below
30 Hz}},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1997},
volume = {102},
pages = {316-325},
number = {4}
}
@ARTICLE{Picton1992TheP300,
author = {Picton, Terence W.},
title = {{The P300 Wave of the Human Event-Related Potential}},
journal = {Journal of Clinical Neurophysiology},
year = {1992},
volume = {9},
pages = {456-479},
number = {4}
}
@ARTICLE{Pires2011,
author = {Gabriel Pires and Urbano Nunes and Miguel Castelo-Branco},
title = {{Statistical spatial filtering for a P300-based BCI: Tests in able-bodied,
and patients with cerebral palsy and amyotrophic lateral sclerosis}},
journal = {Journal of Neuroscience Methods},
year = {2011},
volume = {195},
pages = {270-281},
number = {2}
}
@ARTICLE{polich2007Updating,
author = {Polich, John},
title = {{Updating P300: an integrative theory of P3a and P3b.}},
journal = {Clinical Neurophysiology},
year = {2007},
volume = {118},
pages = {2128-2148},
number = {10}
}
@ARTICLE{Polich1991P300inEv,
author = {J Polich},
title = {P300 in the evaluation of aging and dementia},
journal = {Electroencephalogr Clin Neurophysiol Suppl},
year = {1991},
volume = {42},
pages = {304-23}
}
@ARTICLE{Rakotomamonjy2005,
author = {A. Rakotomamonjy and V. Guigue and G. Mallet and V. Alvarado},
title = {Ensemble of {SVM}s for improving brain-computer interface {P}300
speller performances},
journal = {15th International Conference on Artificial Neural Networks},
year = {2005},
pages = {45-50},
publisher = {Springer}
}
@ARTICLE{Ramoser2000,
author = {Ramoser, H. and Johannes M\"{u}ller-Gerking and Pfurtscheller, G.},
title = {{Optimal spatial filtering of single trial EEG during imagined hand
movement}},
journal = {IEEE Transactions on Neural Systems and Rehabilitation},
year = {2000},
volume = {8},
pages = {441-446}
}
@ARTICLE{Ren2008,
author = {Ren, R. and Guangyu Bin and Xiaorong Gao},
title = {Idle State Detection in SSVEP-Based Brain-Computer Interfaces},
journal = {Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The
2nd International Conference on},
year = {2008},
pages = {2012-2015},
month = {May}
}
@ARTICLE{REN10,
author = {Renard, Yann and Lotte, Fabien and Gibert, Guillaume and Congedo,
Marco and Maby, Emmanuel and Delannoy, Vincent and Bertrand, Olivier
and L\'{e}cuyer, Anatole},
title = {{OpenViBE}: An {Open-Source} Software Platform to Design, Test, and
Use {Brain--Computer} Interfaces in Real and Virtual Environments},
journal = {Presence: Teleoperators and Virtual Environments},
year = {2010},
volume = {19},
pages = {35--53},
number = {1},
abstract = {Abstract This paper describes the {OpenViBE} software platform which
enables researchers to design, test, and use brain?computer interfaces
({BCIs}). {BCIs} are communication systems that enable users to send
commands to computers solely by means of brain activity. {BCIs} are
gaining interest among the virtual reality ({VR}) community since
they have appeared as promising interaction devices for virtual environments
({VEs}). The key features of the platform are (1) high modularity,
(2) embedded tools for visualization and feedback based on {VR} and
{3D} displays, (3) {BCI} design made available to non-programmers
thanks to visual programming, and (4) various tools offered to the
different types of users. The platform features are illustrated in
this paper with two entertaining {VR} applications based on a {BCI}.
In the first one, users can move a virtual ball by imagining hand
movements, while in the second one, they can control a virtual spaceship
using real or imagined foot movements. Online experiments with these
applications together with the evaluation of the platform computational
performances showed its suitability for the design of {VR} applications
controlled with a {BCI}. {OpenViBE} is a free software distributed
under an open-source license.},
publisher = {MIT Press}
}
@ARTICLE{Ritter1969,
author = {Ritter, W and Vaughan, H G},
title = {Averaged evoked responses in vigilance and discrimination: a reassessment},
journal = {Science},
year = {1969},
volume = {164},
pages = {326-8},
number = {3877}
}
@ARTICLE{Rivet2009xDAWN,
author = {Rivet, B. and Souloumiac, A. and Attina, V. and Gibert, G.},
title = {{xDAWN} Algorithm to Enhance Evoked Potentials: Application to Brain-Computer
Interface},
journal = {Biomedical Engineering, IEEE Transactions on},
year = {2009},
volume = {56},
pages = {2035-2043},
number = {8}
}
@ARTICLE{Rivet2009xDAWNGSI,
author = {Rivet, B. and Souloumiac, A. and Attina, V. and Gibert, G.},
title = {{xDAWN} Algorithm to Enhance Evoked Potentials: Application to Brain-Computer
Interface},
journal = {IEEE Trans Biomed Eng},
year = {2009},
volume = {56},
pages = {2035-2043},
number = {8},
owner = {Quentin},
timestamp = {2015.03.09}
}
@ARTICLE{Millan2002,
author = {del R Millan, J. and Mourino, J. and Franze, M. and Cincotti, F.
and Varsta, M. and Heikkonen, J. and Babiloni, F.},
title = {{A local neural classifier for the recognition of EEG patterns associated
to mental tasks}},
journal = {Neural Networks, IEEE Transactions on},
year = {2002},
volume = {13},
pages = {678-686},
number = {3}
}
@INCOLLECTION{ROC11,
author = {Rocon, E. and Pons, J.},
title = {Introduction: {E}xoskeletons in Rehabilitation Robotics},
booktitle = {Springer Tracts in Advanced Robotics},
year = {2011},
volume = {69},
pages = {1--20},
abstract = {Rehabilitation Robotics has been defined as the combination of industrial
robotics and medical rehabilitation, thus encompassing many areas,
including mechanical and electrical engineering, biomedical engineering,
artificial intelligence and sensor and actuator technology. Medical
rehabilitation often refers to the process by which human function,
be it physical or cognitive, is restored at least partially to their
"normal" condition.}
}
@ARTICLE{Roland1980,
author = {P Roland and B Larsen and N Lassen and E Skinhoj},
title = {{Supplementary motor area and other cortical areas in organization
of voluntary movements in man}},
journal = {Neurophysiology},
year = {1980},
volume = {43},
pages = {118-136},
number = {1}
}
@INPROCEEDINGS{RYU10,
author = {Ryu, D. and Um, D. and Tanofsky, P. and Koh, D.H. and Ryu, Y.S. and
Kang, S.},
title = {T-less: {A} novel touchless human-machine interface based on infrared
proximity sensing},
booktitle = {Intelligent Robots and Systems (IROS)},
year = {2010},
pages = {5220--5225},
month = oct,
abstract = {In today's industry, intuitive gesture recognition, as manifested
in numerous consumer electronics devices, becomes a main issue of
{HMI} device research. Although finger-tip touch based user interface
has paved a main stream in mobile electronics, we envision touch-less
{HMI} as a promising technology in futuristic applications with higher
potential in areas where sanity or outdoor operation become of importance.
In this paper, we introduce a novel {HMI} device for non-contact
gesture input for intuitive {HMI} experiences. The enabling technology
of the proposed device is the {IPA} (infrared Proximity Array) sensor
by which realtime 3 dimensional depth information can be captured
and realized for machine control. For the usability study, two different
operating modes are adopted for hand motion inputs: one is a finger
tip control mode and the other is a palm control mode. Throughput
of the proposed device has been studied and compared to a traditional
mouse device for usability evaluation. During the human subject test,
the proposed device is found to be useful for {PC} mouse pointer
control. The experimental results are shared in the paper as well.}
}
@BOOK{Sornmo2005,
title = {Bioelectrical Signal Processing in Cardiac and Neurological Applications},
publisher = {Elsevier Academic Press},
year = {2005},
author = {Leif S\"{o}rnmo and Pablo Laguna},
isbn = {9780124375529}
}
@ARTICLE{SAD08,
author = {Sajda, P. and Muller, K. R. and Shenoy, K. V.},
title = {{Brain-Computer} Interfaces},
journal = {Signal Processing Magazine, IEEE},
year = {2008},
volume = {25},
pages = {16--17},
number = {1},
publisher = {IEEE}
}
@INPROCEEDINGS{samek2013robust,
author = {Samek, Wojciech and Blythe, Duncan and M{\"u}ller, Klaus-Robert and
Kawanabe, Motoaki},
title = {Robust spatial filtering with beta divergence},
booktitle = {Advances in Neural Information Processing Systems},
year = {2013},
pages = {1007--1015}
}
@INPROCEEDINGS{samek2014information,
author = {Samek, Wojciech and Muller, Klaus-Robert},
title = {Information geometry meets {BCI} spatial filtering using divergences},
booktitle = {Brain-Computer Interface (BCI), 2014 International Winter Workshop
on},
year = {2014},
pages = {1--4},
organization = {IEEE}
}
@ARTICLE{Satti2009,
author = {{Satti, A. and Coyle, D. and Prasad, G.}},
title = {{Continuous EEG classification for a self-paced BCI}},
journal = {{Neural Engineering, 2009. 4th International IEEE/EMBS Conference
on}},
year = {2009},
pages = {315-318}
}
@ARTICLE{schafer2005shrinkage,
author = {Sch{\"a}fer, Juliane and Strimmer, Korbinian},
title = {A shrinkage approach to large-scale covariance matrix estimation
and implications for functional genomics},
journal = {Statistical applications in genetics and molecular biology},
year = {2005},
volume = {4},
number = {1}
}
@ARTICLE{Scherer2007,
author = {R Scherer and G R M\"{u}ller-Putz and G Pfurtscheller},
title = {{Self-initiation of EEG-based brain-computer communication using
the heart rate response}},
journal = {Journal of Neural Engineering},
year = {2007},
volume = {4},
pages = {L23},
number = {4}
}
@ARTICLE{schettini2014self,
author = {Schettini, F and Aloise, F and Aric{\`o}, P and Salinari, S and Mattia,
D and Cincotti, F},
title = {Self-calibration algorithm in an asynchronous P300-based brain--computer
interface},
journal = {Journal of neural engineering},
year = {2014},
volume = {11},
pages = {035004},
number = {3},
publisher = {IOP Publishing}
}
@ARTICLE{schlogl2005motorimagery,
author = {Schl\"{o}gl, Alois and Lee, Felix and Bischof, Horst and Pfurtscheller,
Gert},
title = {{Characterization of four-class motor imagery EEG data for the BCI-competition
2005}},
journal = {Journal of Neural Engineering},
year = {2005},
volume = {2},
pages = {14--22},
number = {4}
}
@ARTICLE{Schott1993,
author = {Schoot, G.D.},
title = {{Penfield's homunculus: a note on cerebral cartography}},
journal = {Journal of Neurology, Neurosurgery, and Psychiatry},
year = {1993},
volume = {56},
pages = {329-333},
number = {4}
}
@ARTICLE{Sellers2006AP300Based,
author = {Sellers, Eric W. and Donchin, Emanuel},
title = {{A P300-based brain-computer interface: Initial tests by ALS patients}},
journal = {Clinical Neurophysiology},
year = {2006},
volume = {117},
pages = {538-548},
number = {3}
}
@ARTICLE{Sellers2006EffectOfMatrixSize,
author = {Eric W. Sellers and Dean J. Krusienski and Dennis J. McFarland and
Theresa M. Vaughan and Jonathan R. Wolpaw},
title = {{A P300 event-related potential brain-computer interface (BCI): The
effects of matrix size and inter stimulus interval on performance}},
journal = {Biological Psychology},
year = {2006},
volume = {73},
pages = {242-252},
number = {3}
}
@ARTICLE{SHE06,
author = {Shenoy, Pradeep and Krauledat, Matthias and Blankertz, Benjamin and
Rao, Rajesh P. N. and M\"{u}ller, Klaus-Robert},
title = {Towards adaptive classification for {BCI}},
journal = {Journal of Neural Engineering},
year = {2006},
volume = {3},
pages = {R13+},
number = {1},
month = mar
}
@ARTICLE{singer1993synchronization,
author = {Singer, W.},
title = {{Synchronization of Cortical Activity and its Putative Role in Information
Processing and Learning}},
journal = {Annual Review of Physiology},
year = {1993},
volume = {55},
pages = {349-374},
number = {1}
}
@INPROCEEDINGS{spuler2012one,
author = {Sp{\"u}ler, Martin and Rosenstiel, Wolfgang and Bogdan, Martin},
title = {One class {SVM} and Canonical Correlation Analysis increase performance
in a c-{VEP} based Brain-Computer Interface ({BC}I)},
booktitle = {Proceedings of 20th European Symposium on Artificial Neural Networks
(ESANN 2012), Bruges, Belgium},
year = {2012},
volume = {4},
pages = {103--108}
}
@ARTICLE{Stapleton1987Endogenous,
author = {J.M. Stapleton and E. Halgren},
title = {Endogenous potentials evoked in simple cognitive tasks: depth components
and task correlates},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1987},
volume = {67},
pages = {44-52},
number = {1}
}
@ARTICLE{Sterman1996,
author = {Sterman, M. Barry and Kaiser, David A. and Veigel, Bettina},
title = {{Spectral analysis of event-related EEG responses during short-term
memory performance}},
journal = {Brain Topography},
year = {1996},
volume = {9},
pages = {21-30},
issue = {1}
}
@ARTICLE{Sun2010,
author = {Hongyu Sun and Yang Xiang and Yaoru Sun and Huaping Zhu and Jinhua
Zeng},
title = {{On-line EEG classification for brain-computer interface based on
CSP and SVM}},
journal = {Image and Signal Processing (CISP), 2010 3rd International Congress
on},
year = {2010},
volume = {9},
pages = {4105-4108}
}
@ARTICLE{Sutton1965EPCorr,
author = {Sutton, S. and Braren, M. and Zubin, J. and John, E. R.},
title = {{Evoked-potential Correlates of Stimulus Uncertainty}},
journal = {Science},
year = {1965},
volume = {150},
pages = {1187-1188}
}
@ARTICLE{Sutton1967Inform,
author = {Sutton, Samuel and Tueting, Patricia and Zubin, Joseph and John,
E. R.},
title = {{Information Delivery and the Sensory Evoked Potential}},
journal = {Science},
year = {1967},
volume = {155},
pages = {1436-1439},
number = {3768}
}
@ARTICLE{Szuromi2010,
author = {B Szuromi and P Czobor and S Komlosi and I Bitter},
title = {{P300 deficits in adults with attention deficit hyperactivity disorder:
a meta-analysis}},
journal = {Psychol Med.},
year = {2010},
volume = {41},
pages = {1529-1538},
number = {7}
}
@ARTICLE{TAN12,
author = {Tangermann, Michael and M{\"u}ller, Klaus-Robert and Aertsen, Ad
and Birbaumer, Niels and Braun, Christoph and Brunner, Clemens and
Leeb, Robert and Mehring, Carsten and Miller, Kai J and Mueller-Putz,
Gernot and Nolte, Guido and Pfurtscheller, Gert and Preissl, Hubert
and Schalk, Gerwin and Schl{\"o}gl, Alois and Vidaurre, Carmen and
Waldert, Stephan and Blankertz, Benjamin},
title = {{Review of the BCI Competition IV}},
journal = {Frontiers in Neuroscience},
year = {2012},
volume = {6},
number = {55},
abstract = {The BCI Competition IV stands in the tradition of prior BCI Competitions
that aim to provide high quality neuroscientific data for open access
to the scientific community. As experienced already in prior competitions
not only scientists from the narrow field of BCI compete, but scholars
with a broad variety of backgrounds and nationalities. They include
high specialists as well as students. The goals of all BCI Competitions
have always been to challenge with respect to novel paradigms and
complex data. We report on the following challenges: (1) asynchronous
data, (2) synthetic, (3) multi-class continuous data, (4) session-to-session
transfer, (5) directionally modulated MEG, (6) finger movements recorded
by ECoG. As after past competitions, our hope is that winning entries
may enhance the analysis methods of future BCIs.}
}
@ARTICLE{Teli2009,
author = {Mohammad Nayeem Teli and Charles Anderson},
title = {{Nonlinear dimensionality reduction of electroencephalogram (EEG)
for Brain Computer interfaces}},
journal = {Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual
International Conference of the IEEE},
year = {2009},
pages = {2486-2489}
}
@ARTICLE{tiganj2012,
author = {Tiganj, Zoran and Mboup, Mamadou and Chevallier, Sylvain and Kalunga,
Emmanuel},
title = {{Online frequency band estimation and change-point detection}},
journal = {{Systems and Computer Science (ICSCS), 2012 1st International Conference
on}},
year = {2012},
pages = {1-6}
}
@ARTICLE{Ting2008,
author = {Wu Ting and Yan Guo-zheng and Yang Bang-hua and Sun Hong},
title = {{EEG feature extraction based on wavelet packet decomposition for
brain computer interface}},
journal = {Measurement},
year = {2008},
volume = {41},
pages = {618-625},
number = {6}
}
@INPROCEEDINGS{TOM07,
author = {Tomioka, Ryota and Aihara, Kazuyuki and M{\"u}ller, Klaus-Robert},
title = {Logistic regression for single trial {EEG} classification},
booktitle = {Advances in neural information processing systems (NIPS)},
year = {2007},
volume = {19},
pages = {1377--1384}
}
@INPROCEEDINGS{TOM07GSI,
author = {Tomioka, Ryota and Aihara, Kazuyuki and M{\"u}ller, Klaus-Robert},
title = {Logistic regression for single trial {EEG} classification},
booktitle = {NIPS},
year = {2007},
volume = {19},
pages = {1377--1384},
owner = {Quentin},
timestamp = {2015.03.09}
}
@ARTICLE{Toro1994Event,
author = {{Toro, C. and Deuschl, G and Thatcher, R and Sato, S. and Kufta,
C and Hallett, M.}},
title = {Event-related desynchronization and movement-related cortical potentials
on the {ECoG} and {EEG}},
journal = {{Electroencephalography and Clinical Neurophysiology/Evoked Potentials
Section}},
year = {1994},
volume = {93},
pages = {380-389},
number = {5}
}
@ARTICLE{Trad2011,
author = {Trad, D. and Al-ani, T. and Monacelli, E. and Jemni, M.},
title = {Nonlinear and nonstationary framework for feature extraction and
classification of motor imagery},
journal = {Rehabilitation Robotics (ICORR), 2011 IEEE International Conference
on},
year = {2011},
pages = {1-6}
}
@ARTICLE{TU12,
author = {Tu, Wenting and Sun, Shiliang},
title = {A subject transfer framework for {EEG} classification},
journal = {Neurocomputing},
year = {2012},
volume = {82},
pages = {109--116}
}
@INCOLLECTION{verschore2012dynamic,
author = {Verschore, Hannes and Kindermans, Pieter-Jan and Verstraeten, David
and Schrauwen, Benjamin},
title = {{Dynamic stopping improves the speed and accuracy of a P300 speller}},
booktitle = {Artificial Neural Networks and Machine Learning--ICANN 2012},
publisher = {Springer},
year = {2012},
pages = {661--668}
}
@ARTICLE{VID73,
author = {Vidal, J. J.},
title = {Toward direct brain-computer communication.},
journal = {Annual review of biophysics and bioengineering},
year = {1973},
volume = {2},
pages = {157--180},
number = {1}
}
@ARTICLE{VID10,
author = {Vidaurre, Carmen and Blankertz, Benjamin},
title = {{Towards a cure for {BCI} illiteracy.}},
journal = {Brain topography},
year = {2010},
volume = {23},
pages = {194--198},
number = {2},
abstract = {{Brain-Computer} Interfaces ({BCIs}) allow a user to control a computer
application by brain activity as acquired, e.g., by {EEG}. One of
the biggest challenges in {BCI} research is to understand and solve
the problem of \"{BCI} Illiteracy\", which is that {BCI} control
does not work for a non-negligible portion of users (estimated 15
to 30\%). Here, we investigate the illiteracy problem in {BCI} systems
which are based on the modulation of sensorimotor rhythms. In this
paper, a sophisticated adaptation scheme is presented which guides
the user from an initial subject-independent classifier that operates
on simple features to a subject-optimized state-of-the-art classifier
within one session while the user interacts the whole time with the
same feedback application. While initial runs use supervised adaptation
methods for robust co-adaptive learning of user and machine, final
runs use unsupervised adaptation and therefore provide an unbiased
measure of {BCI} performance. Using this approach, which does not
involve any offline calibration measurement, good performance was
obtained by good {BCI} participants (also one novice) after 3-6 min
of adaptation. More importantly, the use of machine learning techniques
allowed users who were unable to achieve successful feedback before
to gain significant control over the {BCI} system. In particular,
one participant had no peak of the sensory motor idle rhythm in the
beginning of the experiment, but could develop such peak during the
course of the session (and use voluntary modulation of its amplitude
to control the feedback application).},
booktitle = {{Brain Topography}}
}
@ARTICLE{Wang2011HHT,
author = {Lei Wang and Guizhi Xu and Jiang Wang and Shuo Yang and Weili Yan},
title = {{Motor Imagery BCI Research Based on Hilbert-Huang Transform and
Genetic Algorithm}},
journal = {Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International
Conference on},
year = {2011},
pages = {1-4}
}
@INPROCEEDINGS{Wang2006,
author = {Wang, Suogang and James, Christopher J.},
title = {Enhancing Evoked Responses for {BCI} Through Advanced {ICA} Techniques},
booktitle = {Advances in Medical, Signal and Information Processing (MEDSIP)},
year = {2006},
pages = {1-4}
}
@INPROCEEDINGS{Wang2006GSI,
author = {Wang, Suogang and James, Christopher J.},
title = {Enhancing Evoked Responses for {BCI} Through Advanced {ICA} Techniques},
booktitle = {MEDSIP},
year = {2006},
pages = {1-4},
owner = {Quentin},
timestamp = {2015.03.09}
}
@ARTICLE{Wang2013,
author = {Wang, Yijun and Jung, Tzyy-Ping},
title = {Improving Brain-computer Interfaces Using Independent Component Analysis},
journal = {Towards Practical Brain-Computer Interfaces},
year = {2013},
pages = {67-83}
}
@ARTICLE{Wang2004,
author = {Yijun Wang and Zhiguang Zhang and Xiaorong Gao and Shangkai Gao},
title = {{Lead selection for SSVEP-based brain-computer interface}},
journal = {Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th
Annual International Conference of the IEEE},
year = {2004},
volume = {2},
pages = {4507-4510}
}
@ARTICLE{Wilson2006ECoG,
author = {Wilson, J.A. and Felton, E.A. and Garell, P.C. and Schalk, G. and
Williams, J.C.},
title = {{ECoG factors underlying multimodal control of a brain-computer interface}},
journal = {Neural Systems and Rehabilitation Engineering, IEEE Transactions
on},
year = {2006},
volume = {14},
pages = {246-250},
number = {2}
}
@ARTICLE{WOL02,
author = {Wolpaw, J. and Birbaumer, N. and McFarland, D. J. and Pfurtscheller,
G. and Vaughan, T. M.},
title = {{Brain--computer interfaces for communication and control}},
journal = {Clinical Neurophysiology},
year = {2002},
volume = {113},
pages = {767--791},
number = {6},
month = jun
}
@ARTICLE{wolpaw2002bcireview,
author = {Wolpaw, Jonathan R. and Birbaumer, Niels and McFarland, Dennis J.
and Pfurtscheller, Gert and Vaughan, Theresa M.},
title = {{Brain-computer interfaces for communication and control}},
journal = {Clinical Neurophysiology},
year = {2002},
volume = {113},
pages = {767-791},
number = {6}
}
@ARTICLE{Wolpaw1991,
author = {Jonathan R. Wolpaw and Dennis J. McFarland and Gregory W. Neat and
Catherine A. Forneris},
title = {An {EEG}-based brain-computer interface for cursor control},
journal = {Electroencephalography and Clinical Neurophysiology},
year = {1991},
volume = {78},
pages = {252-259},
number = {3}
}
@ARTICLE{Wolpaw2000,
author = {Jonathan R. Wolpaw. and Birbaumer, N. and Heetderks, W.J. and Dennis
J. McFarland and Peckham, P.H. and Schalk, G. and Donchin, E. and
Quatrano, L.A. and Robinson, C.J. and Vaughan, T.M.},
title = {{Brain-computer interface technology: a review of the first international
meeting}},
journal = {Rehabilitation Engineering, IEEE Transactions on},
year = {2000},
volume = {8},
pages = {164-173},
number = {2}
}
@INPROCEEDINGS{xie2013nonlinear,
author = {Xie, Yuchen and Ho, Jeffrey and Vemuri, Baba},
title = {On A Nonlinear Generalization of Sparse Coding and Dictionary Learning},
booktitle = {Proceedings of the 30th International Conference on Machine Learning},
year = {2013},
pages = {1480},
organization = {NIH Public Access}
}
@ARTICLE{Yan2008,
author = {Tang Yan and Tang Jingtian and Gong Andong and Wang Wei},
title = {{Classifying EEG Signals Based HMM-AR}},
journal = {Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The
2nd International Conference on},
year = {2008},
pages = {2111-2114}
}
@INPROCEEDINGS{YAN12a,
author = {Yang, Y. and Chevallier, S. and Wiart, J. and Bloch, I.},
title = {{Automatic selection of the number of spatial filters for motor-imagery
BCI}},
booktitle = {{European Symposium on Artificial Neural Networks (ESANN)}},
year = {2012},
editor = {Verleysen, M.},
pages = {109--114},
abstract = {Common Spatial Pattern (CSP) is widely used for constructing spatial
filters to extract features for motor-imagery-based BCI. One main
parameter in CSP-based classification is the number of spatial filters
used. An automatic method relying on Rayleigh quotient is presented
to estimate its optimal value for each subject. Based on an existing
dataset, we validate the contribution of the proposed method through
a study of the effect of this parameter on the classification performance.
The evaluation on testing data shows that the estimated subject-specific
optimal values yield better performances than the recommanded value
in the literature.}
}
@INPROCEEDINGS{yger2013review,
author = {Yger, Florian},
title = {{A review of kernels on covariance matrices for BCI applications}},
booktitle = {Machine Learning for Signal Processing (MLSP), 2013 IEEE International
Workshop on},
year = {2013},
pages = {1--6},
organization = {IEEE}
}
@ARTICLE{YIN13,
author = {Yin, Erwei and Zhou, Zongtan and Jiang, Jun and Chen, Fanglin and
Liu, Yadong and Hu, Dewen},
title = {A novel hybrid {BCI} speller based on the incorporation of {SSVEP}
into the P300 paradigm},
journal = {Journal of Neural Engineering},
year = {2013},
volume = {10},
number = {2},
abstract = {Objective. Although extensive studies have shown improvement in spelling
accuracy, the conventional P300 speller often exhibits errors, which
occur in almost the same row or column relative to the target. To
address this issue, we propose a novel hybrid brain-computer interface
({BCI}) approach by incorporating the steady-state visual evoked
potential ({SSVEP}) into the conventional P300 paradigm. Approach.
We designed a periodic stimuli mechanism and superimposed it onto
the P300 stimuli to increase the difference between the symbols in
the same row or column. Furthermore, we integrated the random flashings
and periodic flickers to simultaneously evoke the P300 and {SSVEP},
respectively. Finally, we developed a hybrid detection mechanism
based on the P300 and {SSVEP} in which the target symbols are detected
by the fusion of three-dimensional, time-frequency features. Main
results. The results obtained from 12 healthy subjects show that
an online classification accuracy of 93.85\% and information transfer
rate of 56.44 bit/min were achieved using the proposed {BCI} speller
in only a single trial. Specifically, 5 of the 12 subjects exhibited
an information transfer rate of 63.56 bit/min with an accuracy of
100\%. Significance . The pilot studies suggested that the proposed
{BCI} speller could achieve a better and more stable system performance
compared with the conventional P300 speller, and it is promising
for achieving quick spelling in stimulus-driven {BCI} applications.}
}
@ARTICLE{ZAN11,
author = {Zander, Thorsten O. and Kothe, Christian},
title = {Towards passive brain--computer interfaces: applying brain--computer
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