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

10.3389/fnins.2017.00325

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Bibliographic Details
Main Authors: Borghini, G, Aricò, P, Di Flumeri, G, Sciaraffa, N, Colosimo, A, Herrero, M.-T, Bezerianos, A, Thakor, N.V, Babiloni, F
Other Authors: DEPT OF ELECTRICAL & COMPUTER ENGG
Format: Article
Published: Frontiers Media 2020
Subjects:
brain function
clinical article
electroencephalogram
female
human
machine learning
male
quantitative study
training
Online Access:https://scholarbank.nus.edu.sg/handle/10635/183518
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Institution: National University of Singapore
Description
Summary:10.3389/fnins.2017.00325

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