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EEG-based workload estimation across affective contexts
Workload estimation from electroencephalographic signals (EEG) offers a highly sensitive tool to adapt the human–computer interaction to the user state. To create systems that reliably work in the complexity of the real world, a robustness against contextual changes (e.g., mood), has to be achieved....
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4054975/ https://ncbi.nlm.nih.gov/pubmed/24971046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2014.00114 |
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