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Citation: Sun Ruishan, Wang Ning. Visual features of pilot based on Markov chain under flight simulator[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 897-901. (in Chinese)

Visual features of pilot based on Markov chain under flight simulator

  • Received Date: 13 Aug 2012
  • Publish Date: 30 Jul 2013
  • In order to study the visual features of pilot in difference flight phases, an integrated flight simulator was used to built an experimental platform, and a kind of non-contact eye tracker named FaceLAB4.0 was used to track the data of the tester. The tester was asked to complete the takeoff task. Based on the visual information sources, the visual interested areas of pilot were divided into three parts including instrument panel, outside and others. The data of the tester were recorded and the method of Markov chain was used to analyze state transition probability of the visual gaze data in various visual areas. The study indicates that the pilot is generally need to gaze for a long time, because there are more information clues in cockpit instrument panel and outside areas. This method could be used to analyze pilot's visual attention and its transfer pattern in operation.

     

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