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...

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Auteurs principaux: Selina C. Wriessnegger, Philipp Raggam, Kyriaki Kostoglou, Gernot R. Müller-Putz
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
Sujets:
EEG
Accès en ligne:https://doaj.org/article/8a2b8f672f7442df975fcdd0edf8c575
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