Literature DB >> 17552478

Calibration algorithm for eyetracking with unrestricted head movement.

Jeffrey S Johnson1, Li Liu, Geb Thomas, John P Spencer.   

Abstract

This article reports a calibration procedure that enables researchers to track movements of the eye while allowing relatively unrestricted head and/or body movement. The eye-head calibration algorithm calculates fixation point based on eye-position data acquired by a head-mounted eyetracker and corresponding head-position data acquired by a 3-D motion-tracking system. In a single experiment, we show that this procedure provides robust eye-position estimates while allowing free head movement. Although several companies offer ready-made systems for this purpose, there is no literature available that makes it possible for researchers to explore the details of the calibration procedures used by these systems. By making such details available, we hope to facilitate the development of cost-effective, nonproprietary eyetracking solutions.

Mesh:

Year:  2007        PMID: 17552478     DOI: 10.3758/bf03192850

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

1.  A comparison of geometric- and regression-based mobile gaze-tracking.

Authors:  Björn Browatzki; Heinrich H Bülthoff; Lewis L Chuang
Journal:  Front Hum Neurosci       Date:  2014-04-08       Impact factor: 3.169

2.  A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation.

Authors:  Miguel A Vadillo; Chris N H Street; Tom Beesley; David R Shanks
Journal:  Behav Res Methods       Date:  2015-12

3.  Mobile gaze tracking system for outdoor walking behavioral studies.

Authors:  Matteo Tomasi; Shrinivas Pundlik; Alex R Bowers; Eli Peli; Gang Luo
Journal:  J Vis       Date:  2016       Impact factor: 2.240

4.  Gaze-behaviors of runners in a natural, urban running environment.

Authors:  Mark M Cullen; Daniel Schmitt; Michael C Granatosky; Christine E Wall; Michael Platt; Roxanne Larsen
Journal:  PLoS One       Date:  2020-05-19       Impact factor: 3.240

5.  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
  5 in total

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