Susan M. Munn

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To study an observer's eye movements during realistic tasks, the observer should be free to move naturally throughout our three-dimensional world. Therefore, a technique to determine an observer's <i>point-of-regard (POR)</i> as well as his/her motion throughout a scene in three dimensions with minor user input is proposed. This requires robust feature(More)
Video-based eye trackers produce an output video showing where a subject is looking, the subject's Point-of-Regard (POR), for each frame of a video of the scene. This information can be extremely valuable, but its analysis can be overwhelming. Analysis of eye-tracked data from portable (wearable) eye trackers is especially daunting, as the scene video may(More)
Video-based eye trackers produce an output video showing where a subject is looking, the subject's <i>point-of-regard (POR)</i>, for each frame of a video of the scene. Fixation-identification algorithms simplify the long list of POR data into a more manageable set of data, especially for further analysis, by grouping PORs into fixations. Most current(More)
The overall objectives of the IPCS are to establish the scientific basis for assessment of the risk to human health and the environment from exposure to chemicals, through international peer review processes, as a prerequisite for the promotion of chemical safety, and to provide technical assistance in strengthening national capacities for the sound(More)
Our portable video-based monocular eye tracker contains a headgear with two cameras that capture videos of the observer's right eye and the scene from the observer's perspective (Figure 1a). With this eye tracker, we typically obtain a position -- that represents the observer's <i>point of regard (POR)</i> -- in each frame of the scene video (Figure 1b(More)
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