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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Detalles Bibliográficos
Autores principales: Ke, Yufeng, Qi, Hongzhi, He, Feng, Liu, Shuang, Zhao, Xin, Zhou, Peng, Zhang, Lixin, Ming, Dong
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/PMC4157541/
https://www.ncbi.nlm.nih.gov/pubmed/25249967
http://dx.doi.org/10.3389/fnhum.2014.00703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157541/
https://www.ncbi.nlm.nih.gov/pubmed/25249967
http://dx.doi.org/10.3389/fnhum.2014.00703

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