Blar i TKD - Institutt for informasjonsteknologi på emneord "Electroencephalography"
Viser treff 1-3 av 3
-
Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling
(Symmetry;Volume 11, Issue 7, Journal article; Peer reviewed, 2019-07-16)In a human–machine cooperation system, assessing the mental workload (MW) of the human operator is quite crucial to maintaining safe operation conditions. Among various MW indicators, electroencephalography (EEG) signals ... -
Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition
(Brain Sciences;Volume 11 / Issue 11, Peer reviewed; Journal article, 2021-10-23)Affective computing systems can decode cortical activities to facilitate emotional human– computer interaction. However, personalities exist in neurophysiological responses among different users of the brain–computer ... -
Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework
(Neurocomputing;Volume 347, 28 June 2019, Journal article; Peer reviewed, 2019-02-19)Evaluating operator mental workload (MW) in human-machine systems via neurophysiological signals is crucial for preventing unpredicted operator performance degradation. However, the feature of physiological signals is ...