Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach
Article
Article Title | Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach |
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ERA Journal ID | 18089 |
Article Category | Article |
Authors | Siuly, Siuly (Author) and Li, Yan (Author) |
Journal Title | Neural Computing and Applications |
Journal Citation | 26 (4), pp. 799-811 |
Number of Pages | 13 |
Year | May 2015 |
Publisher | Springer |
Place of Publication | United Kingdom |
ISSN | 0941-0643 |
1433-3058 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00521-014-1753-3 |
Web Address (URL) | https://link.springer.com/article/10.1007/s00521-014-1753-3 |
Abstract | The translation of brain activities into signals in |
Keywords | Brain-computer interface (BCI); Electroencephalogram (EEG); Motor imagery (MI); Optimal allocation (OA); Least square support vector machine (LS-SVM); Naive Bayes (NB) |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
520499. Cognitive and computational psychology not elsewhere classified | |
461199. Machine learning not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Victoria University |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2v68/discriminating-the-brain-activities-for-brain-computer-interface-applications-through-the-optimal-allocation-based-approach
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