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A neural network to classify fatigue from human–computer interaction

  • Published:2016-01 Issue: Volume:172 Page:413-426
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Pimenta AndréORCID,Carneiro DavideORCID,Neves José,Novais Paulo

Funder

ERDF – European Regional Development Fund

National Funds through the FCT – Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference47 articles.

1. Some practical considerations and policy implications of studies of sleep patterns;Mitler;Behav. Med.,1996

2. Fundamentals of shiftwork scheduling;Miller;Ergon. Des.: Q. Hum. Factors Appl.,2008

3. Shift work, safety and productivity;Folkard;Occup. Med.,2003

4. Mental fatigue disturbs local processing more than global processing;van der Linden;Psychol. Res.,2006

5. The relationship of fatigue to mental and physical health in a community sample;Williamson;Soc. Psychiatry Psychiatr. Epidemiol.,2005

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