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EEG-based communication: a pattern recognition approach
Abstract
We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.
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Cited by
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r01 · Cited by 2,665
Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r03 · Cited by 907
Curran, E. (2003) · Brain and Cognition · doi:10.1016/s0278-2626(03)00036-8 · Cited by 417
Self-citationA Comprehensive Survey of Brain Interface Technology Designs
Mason, S. G., Bashashati, A., Fatourechi, M., Navarro, K. F., & Birch, G. E. (2007) · Annals of Biomedical Engineering · doi:10.1007/s10439-006-9170-0 · Cited by 299
Metadata
- Authors
- Penny, W. D., Roberts, S. J., Curran, E. A., & Stokes, M. J.
- Venue
- IEEE Transactions on Rehabilitation Engineering
- Published
- 2000-06
- Volume
- 8
- Issue
- 2
- Pages
- 214-215
- ISSN
- 1063-6528 (ISSN-L)
- OpenAlex
- W2113321226
- Cited by
- 221
- References
- 0
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Penny, W. D., Roberts, S. J., Curran, E. A., & Stokes, M. J. (2000). EEG-based communication: a pattern recognition approach. IEEE Transactions on Rehabilitation Engineering. https://doi.org/10.1109/86.847820
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.