Literature DB >> 18632402

A novel gaze estimation system with one calibration point.

Arantxa Villanueva1, Rafael Cabeza.   

Abstract

The design of robust and high-performance gaze-tracking systems is one of the most important objectives of the eye-tracking community. In general, a subject calibration procedure is needed to learn system parameters and be able to estimate the gaze direction accurately. In this paper, we attempt to determine if subject calibration can be eliminated. A geometric analysis of a gaze-tracking system is conducted to determine user calibration requirements. The eye model used considers the offset between optical and visual axes, the refraction of the cornea, and Donder's law. This paper demonstrates the minimal number of cameras, light sources, and user calibration points needed to solve for gaze estimation. The underlying geometric model is based on glint positions and pupil ellipse in the image, and the minimal hardware needed for this model is one camera and multiple light-emitting diodes. This paper proves that subject calibration is compulsory for correct gaze estimation and proposes a model based on a single point for subject calibration. The experiments carried out show that, although two glints and one calibration point are sufficient to perform gaze estimation (error approximately 1 degree), using more light sources and calibration points can result in lower average errors.

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Year:  2008        PMID: 18632402     DOI: 10.1109/TSMCB.2008.926606

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  11 in total

1.  Automatic Calibration Method for Driver's Head Orientation in Natural Driving Environment.

Authors:  Xianping Fu; Xiao Guan; Eli Peli; Hongbo Liu; Gang Luo
Journal:  IEEE trans Intell Transp Syst       Date:  2012-09-21       Impact factor: 6.492

2.  An auxiliary gaze point estimation method based on facial normal.

Authors:  Wei Sun; Nan Sun; Baolong Guo; Wenyan Jia; Mingui Sun
Journal:  Pattern Anal Appl       Date:  2014-08-21       Impact factor: 2.580

3.  High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems.

Authors:  Yang Xia; Jiejunyi Liang; Quanlin Li; Peiyang Xin; Ning Zhang
Journal:  Sensors (Basel)       Date:  2022-06-08       Impact factor: 3.847

4.  Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances.

Authors:  Matteo Cognolato; Manfredo Atzori; Henning Müller
Journal:  J Rehabil Assist Technol Eng       Date:  2018-06-11

5.  A free geometry model-independent neural eye-gaze tracking system.

Authors:  Massimo Gneo; Maurizio Schmid; Silvia Conforto; Tommaso D'Alessio
Journal:  J Neuroeng Rehabil       Date:  2012-11-16       Impact factor: 4.262

6.  A new gaze estimation method considering external light.

Authors:  Jong Man Lee; Hyeon Chang Lee; Su Yeong Gwon; Dongwook Jung; Weiyuan Pan; Chul Woo Cho; Kang Ryoung Park; Hyun-Cheol Kim; Jihun Cha
Journal:  Sensors (Basel)       Date:  2015-03-11       Impact factor: 3.576

7.  Gaze tracking system for user wearing glasses.

Authors:  Su Yeong Gwon; Chul Woo Cho; Hyeon Chang Lee; Won Oh Lee; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2014-01-27       Impact factor: 3.576

8.  An investigation on the feasibility of uncalibrated and unconstrained gaze tracking for human assistive applications by using head pose estimation.

Authors:  Dario Cazzato; Marco Leo; Cosimo Distante
Journal:  Sensors (Basel)       Date:  2014-05-12       Impact factor: 3.576

9.  Pupil and Glint Detection Using Wearable Camera Sensor and Near-Infrared LED Array.

Authors:  Jianzhong Wang; Guangyue Zhang; Jiadong Shi
Journal:  Sensors (Basel)       Date:  2015-12-02       Impact factor: 3.576

10.  A Novel Method for Estimating Free Space 3D Point-of-Regard Using Pupillary Reflex and Line-of-Sight Convergence Points.

Authors:  Zijing Wan; Xiangjun Wang; Kai Zhou; Xiaoyun Chen; Xiaoqing Wang
Journal:  Sensors (Basel)       Date:  2018-07-15       Impact factor: 3.576

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