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Journal Article Gaze Detection by Wearable Eye-Tracking and NIR LED-Based Head-Tracking Device Based on SVR
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Authors
Chul Woo Cho, Ji Woo Lee, Kwang Yong Shin, Eui Chul Lee, Kang Ryoung Park, Heekyung Lee, Jihun Cha
Issue Date
2012-08
Citation
ETRI Journal, v.34, no.4, pp.542-552
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.12.0111.0193
Abstract
In this paper, a gaze estimation method is proposed for use with a large-sized display at a distance. Our research has the following four novelties: this is the first study on gaze-tracking for large-sized displays and large Z (viewing) distances; our gaze-tracking accuracy is not affected by head movements since the proposed method tracks the head by using a near infrared camera and an infrared light-emitting diode; the threshold for local binarization of the pupil area is adaptively determined by using a p-tile method based on circular edge detection irrespective of the eyelid or eyelash shadows; and accurate gaze position is calculated by using two support vector regressions without complicated calibrations for the camera, display, and user's eyes, in which the gaze positions and head movements are used as feature values. The root mean square error of gaze detection is calculated as 0.79째 for a 30-inch screen. © 2012 ETRI.
KSP Keywords
Edge Detection, Estimation method, Eye tracking, Feature values, Gaze Estimation, Head movements, Head tracking, Infrared camera, Near-Infrared(NIR), Root mean square(RMS), Support vector