A new perspective for the training assessment: Machine learning-based neurometric for augmented user's evaluation

• 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
• Institution: National University of Singapore

10.3389/fnins.2017.00325