Task Specific Signal Transformation
Neural signals, sourced directly from the brain, are the gold standard for use in cognitive state detection, but are infeasible for everyday usage. However, the use of more accessible non-neural data to predict cognitive state is significantly less accurate. To bridge this gap in accuracy and usabil...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11021563/ |
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