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Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features
The safety of human–machine systems can be indirectly evaluated based on operator’s cognitive load levels at each temporal instant. However, relevant features of cognitive states are hidden behind in multiple sources of cortical neural responses. In this study, we developed a novel neural network en...
Gespeichert in:
| Veröffentlicht in: | Cogn Neurodyn |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer Netherlands
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8131476/ https://ncbi.nlm.nih.gov/pubmed/34040669 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-020-09642-1 |
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