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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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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 |