C. W. Anderson and . Sijercic, Classification of EEG signals from four subjects during five mental tasks Turkey, Solving engineering problems with neural networks: proceedings of the conference on engineering applications in neural networks (EANN'96), pp.407-414, 1996.

M. Andujar, C. S. Crawford, A. Nijholt, F. Jackson, and J. Gilbert, Artistic brain-computer interfaces: the expression and stimulation of the user???s affective state, Brain-Computer Interfaces, vol.9, issue.2-3, pp.60-69, 2015.
DOI : 10.1145/2559206.2581132

L. E. Arnold, N. Lofthouse, S. Hersch, X. Pan, E. Hurt et al., EEG Neurofeedback for ADHD, Journal of Attention Disorders, vol.40, issue.5, pp.410-419, 2012.
DOI : 10.1097/00004583-200102000-00011

K. K. Ang and C. Guan, Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke, Proceedings of the IEEE, pp.2015-944
DOI : 10.1109/JPROC.2015.2415800

H. Berger, Ueber das Elektroenkephalogramm des Menschen, Archiv für Psychiatrie und Nervenkrankheiten, pp.527-570, 1929.

N. Birbaumer, N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey et al., A spelling device for the paralysed, Nature, vol.398, issue.6725, pp.297-298, 1999.
DOI : 10.1038/18581

B. Blankertz, G. Curio, and K. R. Müller, Classifying single trial EEG: Towards brain computer interfacing, Advances in Neural Information Processing Systems (NIPS 01), pp.157-164, 2002.

F. Miralles, A. Nijholt, and E. Opisso, BNCI Horizon 2020: towards a roadmap for the BCI community, Brain-Computer Interfaces, vol.2015, pp.1-10

J. K. Chapin, K. A. Moxon, R. S. Markowitz, and M. A. Nicolelis, Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex, Nature Neuroscience, vol.212, issue.7, pp.664-670, 1999.
DOI : 10.1002/cne.902120106

J. L. Collinger, B. Wodlinger, J. E. Downey, W. Wang, E. C. Tyler-kabara et al., High-performance neuroprosthetic control by an individual with tetraplegia. The Lancet, pp.381-557, 2013.

L. Farwell and E. Donchin, Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials, Electroencephalography and Clinical Neurophysiology, vol.70, issue.6, pp.510-523, 1988.
DOI : 10.1016/0013-4694(88)90149-6

J. Frey, M. Hachet, and F. Lotte, EEG-based neuroergonomics for 3d user interfaces: opportunities and challenges, Le travail humain, vol.80, issue.1, pp.73-92, 2017.
DOI : 10.3917/th.801.0073

URL : https://hal.archives-ouvertes.fr/hal-01394254

S. Gao, Y. Wang, X. Gao, and B. Hong, Visual and auditory brain?computer interfaces, IEEE Transactions on Biomedical Engineering, issue.5, pp.61-1436, 2014.

L. Hochberg, M. Serruya, G. Friehs, J. M. Mukand, A. Saleh-;-caplan et al., Neuronal ensemble control of prosthetic devices by a human with tetraplegia, Nature, vol.20, issue.7099, pp.164-171, 2006.
DOI : 10.1212/WNL.58.5.794

J. E. Huggins, C. Guger, M. Ziat, T. O. Zander, D. Taylor et al., Workshops of the Sixth International Brain???Computer Interface Meeting: brain???computer interfaces past, present, and future, Brain-Computer Interfaces, vol.30, issue.9, pp.1-34, 2017.
DOI : 10.1016/j.clinph.2009.07.045

C. Jeunet, B. Kaoua, and F. Lotte, Advances in user-training for mental-imagery-based BCI control, Progress in brain research, p.2016
DOI : 10.1016/bs.pbr.2016.04.002

URL : https://hal.archives-ouvertes.fr/hal-01302138

J. Kamiya, Conscious control of brain waves, Psychology Today, vol.1, issue.11, pp.56-60, 1968.
DOI : 10.1037/e400092009-006

C. Konger, J. C. Principe, and M. Taner, Neural network classification of event related potentials for the design of a new computer interface, 1990 IJCNN International Joint Conference on Neural Networks, pp.367-372, 1990.
DOI : 10.1109/IJCNN.1990.137595

C. Kranczioch, C. Zich, I. Schierholz, and A. Sterr, Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation, International Journal of Psychophysiology, vol.91, issue.1, pp.10-15, 2014.
DOI : 10.1016/j.ijpsycho.2013.10.004

A. Kübler, D. Mattia, R. Rupp, and M. Tangermann, Facing the challenge: Bringing brain--computer interfaces to end-users, Artificial intelligence in medicine, pp.55-60, 2013.

L. Desideri, E. Hoogerwerf, and D. Mattia, The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications, p.112392, 2014.

M. Lebedev and M. Nicolelis, Brain???machine interfaces: past, present and future, Trends in Neurosciences, vol.29, issue.9, pp.536-546, 2006.
DOI : 10.1016/j.tins.2006.07.004

A. Lécuyer, F. Lotte, R. B. Reilly, R. Leeb, M. Hirose et al., Brain-Computer Interfaces, Virtual Reality, and Videogames, Computer, vol.41, issue.10, p.41, 2008.
DOI : 10.1109/MC.2008.410

F. Lotte, J. Fujisawa, H. Touyama, R. Ito, M. Hirose et al., Towards ambulatory brain-computer interfaces, Proceedings of the International Conference on Advances in Computer Enterntainment Technology, ACE '09, pp.336-339, 2009.
DOI : 10.1145/1690388.1690452

URL : https://hal.archives-ouvertes.fr/inria-00411284

F. Lotte, F. Larrue, and C. Mühl, Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design, Frontiers in Human Neuroscience, vol.7, p.7, 2013.
DOI : 10.3389/fnhum.2013.00568

URL : https://hal.archives-ouvertes.fr/hal-00862716

S. Makeig, C. Kothe, T. Mullen, N. Bigdely-shamlo, Z. Zhang et al., Evolving Signal Processing for Brain???Computer Interfaces, Proceedings of the IEEE, pp.2012-1567
DOI : 10.1109/JPROC.2012.2185009

G. Mcmillan, G. Calhoun, M. Middendorf, J. Schuner, D. Ingle et al., Direct brain interface utilizing self-regulation of steady-state visual evoked response, Proceedings of RESNA, pp.693-695, 1995.

J. J. Millán, M. Franzé, F. Cincotti, M. Varsta, J. Heikkonen et al., A local neural classifier for the recognition of EEG patterns associated to mental tasks, IEEE Transactions on Neural Networks, vol.13, issue.3, pp.678-686, 2002.
DOI : 10.1109/TNN.2002.1000132

&. Neuper and C. , Combining brain?computer interfaces and assistive technologies: state-of-the-art and challenges, Frontiers in neuroscience, vol.4, p.161, 2010.

C. Mühl, B. Allison, A. Nijholt, and G. Chanel, A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges, Brain-Computer Interfaces, vol.14, issue.2, pp.66-84, 2014.
DOI : 10.1109/ACII.2013.102

K. Muller and J. D. Millan, Towards non-invasive hybrid brain-computer interfaces: framework, practice, clinical application, and beyond, Proceedings of the IEEE, pp.2015-926

C. Neuper and G. Pfurtscheller, Brain-Computer Interfaces Neurofeedback Training for BCI Control The Frontiers Collection, pp.65-78, 2010.

M. Nicolelis, Actions from thoughts, Nature, vol.409, issue.6818, pp.403-407, 2001.
DOI : 10.1038/35053191

A. Nijholt, D. P. Bos, and B. Reuderink, Turning shortcomings into challenges: Brain?computer interfaces for games, pp.85-94, 2009.

A. Nijholt, The future of brain-computer interfacing (keynote paper), 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp.156-161, 2016.
DOI : 10.1109/ICIEV.2016.7759987

G. Pfurtscheller, D. Flotzinger, and J. Kalcher, Brain-Computer Interface-a new communication device for handicapped persons, journal of microcomputer application, pp.293-299, 1993.

T. O. Zander, G. Mueller-putz, C. Neuper, and N. Birbaumer, The hybrid BCI, Frontiers in neuroscience Frontiers, vol.4, issue.3, 2010.

J. C. Principe, The Cortical Mouse: A Piece of Forgotten History in Noninvasive Brain???Computer Interfaces, IEEE Pulse, vol.4, issue.4, pp.26-29, 2013.
DOI : 10.1109/MPUL.2013.2261329

H. Ramoser, J. Muller-gerking, and G. Pfurtscheller, Optimal spatial filtering of single trial EEG during imagined hand movement, IEEE Transactions on Rehabilitation Engineering, vol.8, issue.4, pp.441-446, 2000.
DOI : 10.1109/86.895946

G. Sanchez, J. Daunizeau, E. Maby, O. Bertrand, A. Bompas et al., Toward a New Application of Real-Time Electrophysiology: Online Optimization of Cognitive Neurosciences Hypothesis Testing, Brain Sciences, vol.46, issue.1, pp.49-72, 2014.
DOI : 10.1109/18.850703

URL : https://hal.archives-ouvertes.fr/hal-00941183

G. Schalk, K. Miller, N. Anderson, J. Wilson, M. Smyth et al., Two-dimensional movement control using electrocorticographic signals in humans, Journal of Neural Engineering, vol.5, issue.1, pp.75-84, 2008.
DOI : 10.1088/1741-2560/5/1/008

R. Sitaram, H. Zhang, C. Guan, M. Thulasidas, Y. Hoshi et al., Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain???computer interface, NeuroImage, vol.34, issue.4, pp.1416-1427, 2007.
DOI : 10.1016/j.neuroimage.2006.11.005

J. R. Wolpaw, D. J. Mcfarland, G. W. Neat, and C. A. Forneris, An EEG-based brain-computer interface for cursor control, Electroencephalography and Clinical Neurophysiology, vol.78, issue.3, pp.252-259, 1991.
DOI : 10.1016/0013-4694(91)90040-B

E. Donchin, L. A. Quatrano, C. J. Robinson, and T. M. Vaughan, Brain-computer interface technology: a review of the first international meeting, IEEE Transaction on Rehabilitation Engineering, vol.8, pp.164-173, 2000.

J. Wolpaw, N. Birbaumer, D. Mcfarland, G. Pfurtscheller, and T. Vaughan, Brain???computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002.
DOI : 10.1016/S1388-2457(02)00057-3

J. Wolpaw and E. Wolpaw, Brain-computer interfaces: principles and practice, p.2012

T. Zander and C. Kothe, Towards passive brain???computer interfaces: applying brain???computer interface technology to human???machine systems in general, Journal of Neural Engineering, vol.8, issue.2, 2011.
DOI : 10.1088/1741-2560/8/2/025005