Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface

Azab, A., Ahmadi, H., Mihaylova, L. orcid.org/0000-0001-5856-2223 et al. (1 more author) (2019) Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface. Journal of Neural Engineering. ISSN 1741-2560

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Copyright, Publisher and Additional Information: © 2019 IOP. This is an author produced version of a paper subsequently published in Journal of Neural Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/3.0/).
Keywords: Brain-computer Interface; Transfer learning; Common spatial patterns; Calibration time; Dynamic time warping
Dates:
  • Published (online): 20 December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Feb 2020 10:00
Last Modified: 12 Feb 2020 10:00
Status: Published online
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1741-2552/ab64a0
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Filename: Azab+et+al_2019_J._Neural_Eng._10.1088_1741-2552_ab64a0.pdf

Licence: CC-BY-NC-ND 3.0

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