Literature DB >> 20952326

Iris center corneal reflection method for gaze tracking using visible light.

Jose Sigut1, Sid-Ahmed Sidha.   

Abstract

Very few attempts, if any, have been made to use visible light in corneal reflection approaches to the problem of gaze tracking. The reasons usually given to justify the limited application of this type of illumination are that the required image features are less accurately depicted, and that visible light may disturb the user. The aim of this paper is to show that it is possible to overcome these difficulties and build an accurate and robust gaze tracker under these circumstances. For this purpose, visible light is used to obtain the corneal reflection or glint in a way analogous to the well-known pupil center corneal reflection technique. Due to the lack of contrast, the center of the iris is tracked instead of the center of the pupil. The experiments performed in our laboratory have shown very satisfactory results, allowing free-head movement and no need of recalibration.

Mesh:

Year:  2010        PMID: 20952326     DOI: 10.1109/TBME.2010.2087330

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  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

2.  Uncertainty visualization of gaze estimation to support operator-controlled calibration.

Authors:  Almoctar Hassoumi; Vsevolod Peysakhovich; Christophe Hurter
Journal:  J Eye Mov Res       Date:  2018-01-25       Impact factor: 0.957

3.  An eye tracking based virtual reality system for use inside magnetic resonance imaging systems.

Authors:  Kun Qian; Tomoki Arichi; Anthony Price; Sofia Dall'Orso; Jonathan Eden; Yohan Noh; Kawal Rhode; Etienne Burdet; Mark Neil; A David Edwards; Joseph V Hajnal
Journal:  Sci Rep       Date:  2021-08-11       Impact factor: 4.379

4.  Estimation of Gaze Detection Accuracy Using the Calibration Information-Based Fuzzy System.

Authors:  Su Yeong Gwon; Dongwook Jung; Weiyuan Pan; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2016-01-05       Impact factor: 3.576

5.  Gaze Tracking and Point Estimation Using Low-Cost Head-Mounted Devices.

Authors:  Ko-Feng Lee; Yen-Lin Chen; Chao-Wei Yu; Kai-Yi Chin; Chen-Han Wu
Journal:  Sensors (Basel)       Date:  2020-03-30       Impact factor: 3.576

6.  Use of information modelling techniques to understand research trends in eye gaze estimation methods: An automated review.

Authors:  Jaiteg Singh; Nandini Modi
Journal:  Heliyon       Date:  2019-12-18

7.  Experimental Verification of Objective Visual Fatigue Measurement Based on Accurate Pupil Detection of Infrared Eye Image and Multi-Feature Analysis.

Authors:  Taehyung Kim; Eui Chul Lee
Journal:  Sensors (Basel)       Date:  2020-08-26       Impact factor: 3.576

  7 in total

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