When should MI-BCI feature optimization include prior knowledge, and which one?
Motor imagery-based brain-computer interfaces (MI-BCIs) rely on interactions between humans and machines. Therefore, the (learning) characteristics of both components are key to understand and improve performances. Data-driven methods are often used to select/extract features with very little neurop...
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Published in | Brain computer interfaces (Abingdon, England) Vol. 9; no. 2; pp. 115 - 128 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
03.04.2022
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Subjects | |
Online Access | Get full text |
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