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An EEG-based mental workload estimator trained on working memory task can work well under simulated multi-attribute task
Mental workload (MW)-based adaptive system has been found to be an effective approach to enhance the performance of human-machine interaction and to avoid human error caused by overload. However, MW estimated from the spontaneously generated electroencephalogram (EEG) was found to be task-specific....
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4157541/ https://ncbi.nlm.nih.gov/pubmed/25249967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2014.00703 |
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