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Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning

The real-time assessment of mental workload (MWL) is critical for development of intelligent human–machine cooperative systems in various safety–critical applications. Although data-driven machine learning (ML) approach has shown promise in MWL recognition, there is still difficulty in acquiring a s...

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Detalles Bibliográficos
Autores principales: Zhang, Jianhua, Li, Jianrong, Wang, Rubin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501379/
https://www.ncbi.nlm.nih.gov/pubmed/33014177
http://dx.doi.org/10.1007/s11571-020-09589-3