• Corpus ID: 5807309

Real-time adaptive automation system based on identification of operator functional state ( OFS ) in simulated process c ontrol operations

@inproceedings{Ting2015RealtimeAA,
  title={Real-time adaptive automation system based on identification of operator functional state ( OFS ) in simulated process c ontrol operations},
  author={Ching-Hua Ting and A. Nassef and Mahdi Mahfouf and Derek A. Linkens and George Panoutsos and A. C. Roberts},
  year={2015}
}
This paper proposes a new framework for the on-line monitoring and adaptive control of automation in complex and safety-critical human-machine (HM) systems using psychophysiological markers relating to humans under mental stress. The starting point of this framework relates to the assessment of the so-called operator functional state (OFS) using psychophysiological measures. An adaptive fuzzy model linking Heart-Rate Variability (HRV) and Task Load Index (TLI) with the subjects' optimal… 

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