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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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Detalles Bibliográficos
Autores principales:	Mühl, Christian, Jeunet, Camille, Lotte, Fabien
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2014
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054975/ https://www.ncbi.nlm.nih.gov/pubmed/24971046 http://dx.doi.org/10.3389/fnins.2014.00114

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