A neural network based real-time gaze tracker

被引：16

作者：

Piratla, NM ^{[1
]}

Jayasumana, AP ^{[1
]}

机构：

[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA

来源：

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS | 2002年 / 25卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1006/jnca.2002.0142

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A real-time gaze-tracking system that estimates the user's eye gaze and computes the window of focused view on a computer monitor has been developed. This artificial neural network based system can be trained and customized for an individual. Unlike existing systems in which skin color features and/or other mountable equipment are needed, this system is based on a simple non-intrusive camera mounted on the monitor. Gaze point is accurately estimated within a 1 in. on a 19-in. monitor with a CCD camera having a 640 x 480 image resolution. The system performance is independent of user's forward and backward as well as upward and downward movements. The gaze-tracking system implementation and the factors affecting its performance are discussed and analyzed in detail. The features and implementation methods that make this system real-time are also explained. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：179 / 196

页数：18

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