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Optical Engineering • Open Access

New method for face gaze detection in smart television
Author(s): Won Oh Lee; Yeong Gon Kim; Kwang Yong Shin; Dat Tien Nguyen; Ki Wan Kim; Kang Ryoung Park; Cheon In Oh

Paper Abstract

Recently, gaze detection-based interfaces have been regarded as the most natural user interface for use with smart televisions (TVs). Past research conducted on gaze detection primarily used near-infrared (NIR) cameras with NIR illuminators. However, these devices are difficult to use with smart TVs; therefore, there is an increasing need for gaze-detection technology that utilizes conventional (visible light) web cameras. Consequently, we propose a new gaze-detection method using a conventional (visible light) web camera. The proposed approach is innovative in the following three ways. First, using user-dependent facial information obtained in an initial calibration stage, an accurate head pose is calculated. Second, using theoretical and generalized models of changes in facial feature positions, horizontal and vertical head poses are calculated. Third, accurate gaze positions on a smart TV can be obtained based on the user-dependent calibration information and the calculated head poses by using a low-cost conventional web camera without an additional device for measuring the distance from the camera to the user. Experimental results indicate that the gaze-detection accuracy of our method on a 60-in. smart TV is 90.5%.

Paper Details

Date Published: 5 May 2014
PDF: 12 pages
Opt. Eng. 53(5) 053104 doi: 10.1117/1.OE.53.5.053104
Published in: Optical Engineering Volume 53, Issue 5
Show Author Affiliations
Won Oh Lee, Dongguk Univ. (Korea, Republic of)
Yeong Gon Kim, Dongguk Univ. (Korea, Republic of)
Kwang Yong Shin, Dongguk Univ. (Korea, Republic of)
Dat Tien Nguyen, Dongguk Univ. (Korea, Republic of)
Ki Wan Kim, Dongguk Univ. (Korea, Republic of)
Kang Ryoung Park, Dongguk Univ. (Korea, Republic of)
Cheon In Oh, Electronics and Telecommunications Research Institute (Korea, Republic of)


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