Evaluating the Motor Imagery Classification Performance of a Double-Layered Feature Selection on Two Different-Sized Datasets
Numerous investigations have been conducted to enhance the motor imagery-based brain–computer interface (BCI) classification performance on various aspects. However, there are limited studies comparing their proposed feature selection framework performance on both objective and subjective datasets....
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Main Authors: | , , , , , |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doaj.org/article/f2d154038dec4130adfe7d205f77312b |
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