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

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

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 lack of information about the am...

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Bibliographic Details
Main Authors: Gianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Alfredo Colosimo, Maria-Trinidad Herrero, Anastasios Bezerianos, Nitish V. Thakor, Fabio Babiloni
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Neuroscience
Subjects:
training assessment
human factor
brain activity
EEG
machine learning
human machine interaction
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00325/full

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