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Machine Learning for Cognitive Load Classification – A Case Study on Contact-Free Approach

The most common ways of measuring Cognitive Load (CL) is using physiological sensor signals e.g., Electroencephalography (EEG), or Electrocardiogram (ECG). However, these signals are problematic in situations e.g., in dynamic moving environments where the user cannot relax with all the sensors attac...

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Detalles Bibliográficos
Autores principales: Ahmed, Mobyen Uddin, Begum, Shahina, Gestlöf, Rikard, Rahman, Hamidur, Sörman, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256406/
http://dx.doi.org/10.1007/978-3-030-49161-1_3