Where Are You Looking At? - Feature-Based Eye Tracking on Unmodified Tablets

This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the positi...

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Bibliographic Details
Main Authors: Ishimaru, Shoya, Kunze, Kai, Utsumi, Yuzuko, Iwamura, Masakazu, Kise, Koichi
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Estimation
eye gaze
eyetracking
Feature extraction
Head
iOS
iPad
Iris recognition
reading
tablet
Tablet computers
Training
Online Access:Request full text
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Description
Summary:This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the position of device and user's head is stable, the average distance error between estimated gaze point to actual gaze point is around 12.23 [mm] using user-dependent training.
ISSN:0730-6512
DOI:10.1109/ACPR.2013.190