Match-moving for area-based analysis of eye movements in natural tasks

  • Authors:
  • Wayne J. Ryan;Andrew T. Duchowski;Ellen A. Vincent;Dina Battisto

  • Affiliations:
  • Clemson University;Clemson University;Clemson University;Clemson University

  • Venue:
  • Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
  • Year:
  • 2010

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Abstract

Analysis of recordings made by a wearable eye tracker is complicated by video stream synchronization, pupil coordinate mapping, eye movement analysis, and tracking of dynamic Areas Of Interest (AOIs) within the scene. In this paper a semi-automatic system is developed to help automate these processes. Synchronization is accomplished via side by side video playback control. A deformable eye template and calibration dot marker allow reliable initialization via simple drag and drop as well as a user-friendly way to correct the algorithm when it fails. Specifically, drift may be corrected by nudging the detected pupil center to the appropriate coordinates. In a case study, the impact of surrogate nature views on physiological health and perceived well-being is examined via analysis of gaze over images of nature. A match-moving methodology was developed to track AOIs for this particular application but is applicable toward similar future studies.