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....
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054975/ |