A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation

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Borghini, Gianluca; Aricò, Pietro; Di Flumeri, Gianluca; Sciaraffa, Nicolina; Colosimo, Alfredo; Herrero, Maria-Trinidad; Bezerianos, Anastasios; Thakor, Nitish V.; Babiloni, Fabio;
  • Publisher: Frontiers Media S.A.
  • Journal: Frontiers in Neuroscience,volume 11 (issn: 1662-4548, eissn: 1662-453X)
  • Related identifiers: doi: 10.3389/fnins.2017.00325, pmc: PMC5468410
  • Subject: human factor | training assessment | human machine interaction | Neuroscience | EEG | Original Research | brain activity | machine learning

Inappropriate training assessment might have either high social costs and economic impacts, especially in high risks categories, such as Pilots, Air Traffic Controllers, or Surgeons. One of the current limitations of the standard training assessment procedures is the la... View more
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