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

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.

DOI: 10.1145/1743666.1743705

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Cite this paper

@inproceedings{Takemura2010Estimating3P, title={Estimating 3D point-of-regard and visualizing gaze trajectories under natural head movements}, author={Kentaro Takemura and Yuji Kohashi and Tsuyoshi Suenaga and Jun Takamatsu and Tsukasa Ogasawara}, booktitle={ETRA}, year={2010} }