Estimating 3D point-of-regard and visualizing gaze trajectories under natural head movements

  • Authors:
  • Kentaro Takemura;Yuji Kohashi;Tsuyoshi Suenaga;Jun Takamatsu;Tsukasa Ogasawara

  • Affiliations:
  • Nara Institute of Science and Technology, Japan;Nara Institute of Science and Technology, Japan;Nara Institute of Science and Technology, Japan;Nara Institute of Science and Technology, Japan;Nara Institute of Science and Technology, Japan

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

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Abstract

The portability of an eye tracking system encourages us to develop a technique for estimating 3D point-of-regard. Unlike conventional methods, which estimate the position in the 2D image coordinates of the mounted camera, such a technique can represent richer gaze information of the human moving in the larger area. In this paper, we propose a method for estimating the 3D point-of-regard and a visualization technique of gaze trajectories under natural head movements for the head-mounted device. We employ visual SLAM technique to estimate head configuration and extract environmental information. Even in cases where the head moves dynamically, the proposed method could obtain 3D point-of-regard. Additionally, gaze trajectories are appropriately overlaid on the scene camera image.