Weighted transfer learning of dynamic time warped data for motor imagery based brain computer interfaces

Giles, J., Ang, K.K., Mihaylova, L. et al. (1 more author) (2020) Weighted transfer learning of dynamic time warped data for motor imagery based brain computer interfaces. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), 20-24 Jul 2020, Online conference. IEEE . ISBN 9781728119915

Abstract

Metadata

Authors/Creators:
  • Giles, J.
  • Ang, K.K.
  • Mihaylova, L.
  • Arvaneh, M.
Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Calibration; Electroencephalography; Heuristic algorithms; Brain modeling; Data models; Training; Feature extraction
Dates:
  • Accepted: 10 April 2020
  • Published (online): 27 August 2020
  • Published: 27 August 2020
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: 15 May 2020 10:35
Last Modified: 30 Sep 2020 12:07
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/EMBC44109.2020.9176635
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