Browsing TKD - Institutt for informasjonsteknologi by Subject "Operator functional states"

Now showing items 1-5 of 5

    • Classifying Mental Workload Levels Using Semi-Supervised Learning Technique 

      Zhang, Jianhua; Li, Jianrong (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 

      Zhang, Jianhua; Li, Jianrong; Wang, Rubin (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 ...

    • Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning 

      Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (IEEE Symposium Series on Computational Intelligence (SSCI);2019 IEEE Symposium Series on Computational Intelligence (SSCI), Conference object, 2020-02-20)
      The real-time monitoring 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 ...

    • Operator Performance Prediction based on Fuzzy Modeling Approach 

      Zhang, Jianhua; Yin, Zhong (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 ...

    • Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework 

      Yin, Zhong; Zhao, Mengyuan; Zhang, Wei; Wang, Yongxiong; Wang, Yagang; Zhang, Jianhua (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 ...