DocumentCode
1651248
Title
Where Are You Looking At? - Feature-Based Eye Tracking on Unmodified Tablets
Author
Ishimaru, Shin ; Kunze, Kai ; Utsumi, Yuji ; Iwamura, Mikio ; Kise, Kenji
fYear
2013
Firstpage
738
Lastpage
739
Abstract
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.
Keywords
feature extraction; gaze tracking; notebook computers; average distance error; commodity devices; commodity tablet; estimated gaze point; feature-based eye tracking system; unmodified tablets; user-dependent training; Cameras; Estimation; Feature extraction; Head; Iris recognition; Tablet computers; Training; eye gaze; eyetracking; iOS; iPad; reading; tablet;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location
Naha
Type
conf
DOI
10.1109/ACPR.2013.190
Filename
6778418
Link To Document