사용자 맞춤형 SSVEP-BCI 철자 입력기를 위한 적응 및 선택 기반 태스크 관련 성분 분석
Individual-specific steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) rely on individual data calibration, achieving high performance. However, existing methods use generalized channels and task-related subspaces, which limit their potential and lead to suboptimal s...
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Published in | Journal of biomedical engineering research Vol. 46; no. 2; pp. 144 - 154 |
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Main Authors | , , , |
Format | Journal Article |
Language | Korean |
Published |
대한의용생체공학회
01.04.2025
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Subjects | |
Online Access | Get full text |
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