Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine
In this study, a multiple kernel learning support vector machine algorithm is proposed for the identification of EEG signals including mental and cognitive tasks, which is a key component in EEG-based brain computer interface (BCI) systems. The presented BCI approach included three stages: (1) a pre...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Language: | English |
| Published: |
2014
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| Online Access: | https://doi.org/10.3390/s140712784 https://www.mdpi.com/1424-8220/14/7/12784/pdf?version=1405674903 |
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