Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI.
The dimensionality of the spatially distributed channels and the temporal resolution of electroencephalogram (EEG) based brain-computer interfaces (BCI) undermine emotion recognition models. Thus, prior to modeling such data, as the final stage of the learning pipeline, adequate preprocessing, trans...
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Main Authors: | , , |
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Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
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Online Access: | https://doaj.org/article/b153b040d3fa4a59a4b8f128d6a55bd8 |
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