| Autor: |
Oganesyan, V. V., Agapov, S. N., Bulanov, V. A., Biryukova, E. V. |
| Předmět: |
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| Zdroj: |
Neuroscience & Behavioral Physiology; Nov2018, Vol. 48 Issue 9, p1164-1168, 5p |
| Abstrakt: |
This article compares a wide set of data classification methods used for creating brain-computer interfaces based on the recognition of EEG patterns during motor imagery of the hand. The GBM (gradient boosting models) classifier was found to work better than other classifiers using the dataset provided. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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