KDLPCCA-Based Projection for Feature Extraction in SSVEP-Based Brain-Computer Interfaces

Huang, J, Yang, P, Wan, B et al. (1 more author) (2022) KDLPCCA-Based Projection for Feature Extraction in SSVEP-Based Brain-Computer Interfaces. Journal of Shanghai Jiaotong University (Science), 27 (2). pp. 168-175. ISSN 1007-1172

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021, Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature. This is an author produced version of an article published in Journal of Shanghai Jiaotong University (Science). Uploaded in accordance with the publisher's self-archiving policy.
Keywords: brain-computer interface; feature extraction; kernel discriminative locality preserving canonical correlation analysis (KDLPCCA); steady-state visual evoked potential (SSVEP)
Dates:
  • Accepted: 10 October 2020
  • Published (online): 28 November 2021
  • Published: April 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
Royal SocietyIE161218
Depositing User: Symplectic Publications
Date Deposited: 10 Jan 2022 16:04
Last Modified: 28 Nov 2022 01:13
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s12204-021-2387-0

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