Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
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Kang et al. and Lotte and Guan improved covariance matrix estimation for CSP filters by regularizing it towards the average of other subjects, or constructing a common feature space.
“Kang et al. [13] and Lotte and Guan [19] improved covariance matrix estimation for CSP filters by regularizing it towards the average of other subjects, or constructing a common feature space.”
From Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach (2020) · cites this paper as [13]
Cites
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143 · see citing works
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., & Muller, K.-R. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408441 · Cited by 2,080 · see citing works
Brain–Computer Interface Technologies in the Coming Decades
Lance, B. J., Kerick, S. E., Ries, A. J., Oie, K. S., & McDowell, K. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2012.2184830 · Cited by 231 · see citing works
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort
Wu, D. (2017) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2016.2608931 · Cited by 114 · see citing works
Self-citationWaytowich, N. R., Lawhern, V. J., Bohannon, A. W., Ball, K. R., & Lance, B. J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00430 · Cited by 79 · see citing works
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Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach
He, H., & Wu, D. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913914 · Cited by 525 · see citing works
“In the Euclidean space, after EA, we used CSP [11], [17], [22], [26] for spatial filtering and LDA for classification.”
BackgroundMethodSelf-citationDecoding Covert Speech From EEG-A Comprehensive Review
Panachakel, J. T., & Ramakrishnan, A. G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.642251 · Cited by 156 · see citing works
- Authors
- He, H., & Wu, D.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Corresponding author
- Wu, Dongrui
- ORCID
- Wu, Dongrui
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 811-821
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2766408461
- Cited by
- 22
- References
- 5
- Citations by year
- 2024: 3 · 2023: 4 · 2022: 5 · 2021: 3 · 2020: 1 · 2019: 4 · 2018: 2
- FWCI
- 3.13
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- transfer learning, common spatial pattern, brain-computer interface, motor imagery classification, subject-specific calibration, domain adaptation
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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