Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals
The goal of this study was to implement a Riemannian geometry (RG)-based algorithm to detect high mental workload (MWL) and mental fatigue (MF) using task-induced electroencephalogram (EEG) signals. In order to elicit high MWL and MF, the participants performed a cognitively demanding task in the fo...
Main Authors: | Kostoglou, K. (Author), Müller-Putz, G.R (Author), Raggam, P. (Author), Wriessnegger, S.C (Author) |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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