Blar i Sentraladministrasjonen på emneord "Operator functional states"
Viser treff 1-3 av 3
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Classifying Mental Workload Levels Using Semi-Supervised Learning Technique
(IFAC-PapersOnLine;Volume 53, Issue 2, Peer reviewed; Journal article, 2021-04-14)Real-time monitoring and analysis of human operator’s mental workload (MWL) is crucial for development of adaptive/intelligent human-machine cooperative systems in various safety/mission-critical application fields. Although ... -
Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning
(Cognitive Neurodynamics;volume 14, issue 5, Peer reviewed; Journal article, 2020-05-12)The real-time assessment of mental workload (MWL) is critical for development of intelligent human–machine cooper- ative systems in various safety–critical applications. Although data-driven machine learning (ML) approach ... -
Operator Performance Prediction based on Fuzzy Modeling Approach
(IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2021-04-14)In this paper, physiological signals were measured from five participants, each participating in two sessions of experiment with identical experimental procedure. A simulation platform, AutoCAMS (Automation-enhanced Cabin ...