EEG-based Incongruency Decoding in AR with sLDA, SVM, and EEGNet
Augmented reality (AR) technologies enhance a user’s physical environment by providing contextual information about their surroundings. This information might appear incongruent to users, either due to their current mental context or factual errors in the data. This paper explores the feasibility of...
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| Main Authors: | Wimmer Michael, Veas Eduardo E., Müller-Putz Gernot R. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-10-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2024-1106 |
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