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In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches offline performance level while being usable online without requiring supervision.
J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, “Brain–computer interfaces for communication and control,” Clinical neurophysiology , vol. 113, no. 6, pp. 767–791, 2002
2002
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P. Shenoy, M. Krauledat, B. Blankertz, R. P. Rao, and K.-R. Müller, “Towards adaptive classification for bci,” Journal of neural engineering , vol. 3, no. 1, p. R13, 2006
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J. Blumberg, J. Rickert, S. Waldert, A. Schulze-Bonhage, A. Aertsen, and C. Mehring, “Adaptive classification for brain computer interfaces,” in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . IEEE, 2007, pp. 2536–2539
2007
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G. Liu, G. Huang, J. Meng, D. Zhang, and X. Zhu, “Improved gmm with parameter initialization for unsupervised adaptation of brain–computer interface,” International Journal for Numerical Methods in Biomedical Engineering , vol. 26, no. 6, pp. 681–691, 2010
2010
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C. Vidaurre, M. Kawanabe, P. von Bünau, B. Blankertz, and K.-R. Müller, “Toward unsupervised adaptation of lda for brain–computer interfaces,” IEEE Transactions on Biomedical Engineering , vol. 58, no. 3, pp. 587–597, 2010
2010
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B. A. S. Hasan and J. Q. Gan, “Hangman bci: An unsupervised adaptive self-paced brain–computer interface for playing games,” Computers in biology and medicine , vol. 42, no. 5, pp. 598–606, 2012
2012
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M. Tangermann, K.-R. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. J. Miller, G. Mueller-Putz et al. , “Review of the bci competition iv,” Frontiers in neuroscience , 2012
2012
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R. T. Schirrmeister, J. T. Springenberg, L. D. J. Fiederer, M. Glasstetter, K. Eggensperger, M. Tangermann, F. Hutter, W. Burgard, and T. Ball, “Deep learning with convolutional neural networks for eeg decoding and visualization,” Human brain mapping , vol. 38, no. 11, 2017
2017
Cited alongside, same era.
F. Lotte, L. Bougrain, A. Cichocki, M. Clerc, M. Congedo, A. Rakotomamonjy, and F. Yger, “A review of classification algorithms for eeg-based brain–computer interfaces: a 10 year update,” Journal of neural engineering , vol. 15, no. 3, p. 031005, 2018
2018
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V. J. Lawhern, A. J. Solon, N. R. Waytowich, S. M. Gordon, C. P. Hung, and B. J. Lance, “Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,” Journal of neural engineering , vol. 15, no. 5, p. 056013, 2018
2018
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S. Kumar, F. Yger, and F. Lotte, “Towards adaptive classification using riemannian geometry approaches in brain-computer interfaces,” in 2019 7th International Winter Conference on Brain-Computer Interface (BCI) . IEEE, 2019, pp. 1–6
2023
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2023
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P. Dreyer, A. Roc, L. Pillette, S. Rimbert, and F. Lotte, “A large eeg database with users’ profile information for motor imagery brain-computer interface research,” Scientific Data , vol. 10, no. 1, p. 580, 2023
2023
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Y. El Ouahidi, L. Drumetz, G. Lioi, N. Farrugia, B. Pasdeloup, and V. Gripon, “Spatial graph signal interpolation with an application for merging bci datasets with various dimensionalities,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2023, pp. 1–5
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2019
Cited alongside, same era.
H. He and D. Wu, “Transfer learning for brain–computer interfaces: A euclidean space data alignment approach,” IEEE Transactions on Biomedical Engineering , vol. 67, no. 2, 2019
2019
Cited alongside, same era.
G. Lioi, S. Butet, M. Fleury, E. Bannier, A. Lécuyer, I. Bonan, and C. Barillot, “A multi-target motor imagery training using bimodal eeg-fmri neurofeedback: a pilot study in chronic stroke patients,” Frontiers in human neuroscience , vol. 14, p. 37, 2020
2020
Cited alongside, same era.
L. Bougrain, S. Rimbert, P. L. Rodrigues, G. Canron, and F. Lotte, “Guidelines to use transfer learning for motor imagery detection: an experimental study,” in 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) . IEEE, 2021, pp. 5–8
2021
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2023
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A. Delorme, “Eeg is better left alone,” SCientific Reports , vol. 13, 2023
2023
Later among the works it cites.